Roles of Actin Remodeling Proteins, Gelsolin and Flightless-I in Epidermal Wound Healing
ROLES OF ACTIN REMODELING PROTEINS, GELSOLIN AND FLIGHTLESS-I IN EPIDERMAL WOUND HEALING
Huater Chan
Bachelor of Biotechnology (Honours)
Women's and Children's Health Research Institute
And Discipline of Physiology
School of Molecular and Biomedical Science
Faculty of Sciences
University of Adelaide
A Thesis submitted for the degree of
Doctor of Philosophy
April 2011 TABLE OF CONTENTS
DECLARATION ...... I
ACKNOWLEDGEMENTS ...... II
ABBREVIATIONS ...... IV
CHAPTER ONE General Introduction
1.1 BACKGROUND...... 1
1.2 WOUND HEALING ...... 2
1.2.1 The process of wound healing ...... 2 1.2.1.1 Inflammatory phase ...... 6 1.2.1.2 Proliferative phase ...... 7 1.2.1.3 Remodeling phase ...... 10
1.3 THE CYTOSKELETON ...... 11
1.3.1 Types of Cytoskeleton ...... 11 1.3.1.1 Microtubules ...... 13 1.3.1.2 Intermediate filaments ...... 14 1.3.1.3 Microfilaments (Actin) ...... 14 1.3.1.4 Stress fibers ...... 15 1.3.2 Actin dynamics in wound healing ...... 16
1.4 GELSOLIN FAMILY OF ACTIN REMODELING PROTEINS ...... 20
1.4.1 Gelsolin ...... 22 1.4.1.1 Gelsolin in Clinical Settings ...... 23 1.4.1.2 Involvement of Gelsolin in Cellular Apoptosis ...... 24 1.4.1.3 Biological Functions of Gelsolin ...... 25 1.4.1.4 Gelsolin and the sex steroid hormones ...... 26 1.4.1.5 Nuclear hormone receptor signaling ...... 28
1.4.2 Flightless-I ...... 29 1.4.2.1 Biological Functions of Flii ...... 30 1.4.2.2 Protein Interactions are mediated through the Flii LRR domain ...... 32 1.4.2.3 Involvement of Flii in cellular processes ...... 33 1.4.2.4 In Vitro and In Vivo Expression of Flii ...... 35 1.4.2.5 Flii protein is a Negative Regulator of Wound Healing ...... 36
1.5 TRANSFORMING GROWTH FACTOR BETA (TGFΒ) ...... 38
1.5.1 TGFβ superfamily ...... 38 1.5.1.1 TGFβ Activation and Structure ...... 40 1.5.1.2 TGFβ Receptor Signaling ...... 44 1.5.1.3 Smad Effector Signaling ...... 45 1.5.1.4 TGFβs regulation in wound healing ...... 48
1.6 MITOGEN-ACTIVATED PROTEIN KINASE ...... 50
1.6.1 The MAPK Signaling Pathways ...... 50 1.6.1.1 ERK Pathway ...... 53 1.6.1.2 p38Pathway ...... 54 1.6.1.3 JNK/SAPK Pathway ...... 54 1.6.1.4 Phosphoinositide 3-kinase Signaling pathway ...... 54
1.7 INTEGRATION OF MAPK AND PI3K/AKT WITH TGFΒ SIGNALING PATHWAYS ...... 56
1.8 RESEARCH AIM AND RATIONALE ...... 57
CHAPTER TWO Role of Gelsolin in Androgen Mediated Wound Healing
2.1 INTRODUCTION ...... 60
2.1.1 Implications for the gelsolin superfamily in nuclear receptor signaling ...... 60 2.1.2 Gelsolin and AR Nuclear Signaling ...... 61
2.2 MATERIALS AND METHODS ...... 63
2.2.1 Cells, Cell Culture ...... 63
2.2.2 Scratch Assay ...... 63 2.2.3 Protein Extraction ...... 64 2.2.4 Western Blotting ...... 65 2.2.5 Immunocytochemistry ...... 66 2.2.6 siRNA knockdown Assay ...... 68 2.2.7 RNA Extraction ...... 69 2.2.8 DNase Treatment and RNA Quantitation ...... 70 2.2.9 Complementary Deoxyribonucleic Acid (cDNA) Synthesis ...... 70 2.2.10 Real-Time quantitative-Polymerase Chain Reaction (RTq-PCR) ...... 71 2.2.11 Proliferation Assay ...... 71 2.2.12 Wound Closure Assay ...... 72 2.2.13 Statistical Analysis ...... 73
2.3 RESULTS ...... 74
2.3.1 Gelsolin and AR responses to wounding in vitro ...... 74 2.3.2 Effects of DHT addition in gelsolin and AR localization ...... 80 2.3.3 Time-course localization study of gelsolin and AR in the presence of DHT...... 83 2.3.4 Gelsolin gene knockdown using silent RNA technology ...... 91 2.3.5 Response to DHT treatment in gelsolin-ablated HFFs ...... 93
2.4 DISCUSSION ...... 98
CHAPTER THREE Flii Deficiency Improves Wound Healing and is Associated with
Higher Expression Ratio of TGFβ3 to TGFβ1
3.1 INTRODUCTION ...... 103
3.1.1 Flii, a negative regulator of wound healing ...... 103 3.1.2 TGFβ and the wound healing process ...... 104
3.2 MATERIALS AND METHODS ...... 106
3.2.1 Flii Heterozygous and Over-expressing Mice Generation ...... 106 3.2.2 Flii+/- mice generation ...... 106 3.2.3 FliiTg/+ mice generation ...... 109
3.2.4 Murine Incisional Wound Surgery ...... 111 3.2.5 Histological Processing ...... 112 3.2.6 Immunohistochemistry ...... 113 3.2.7 Cell culture ...... 115 3.2.8 siRNA knockdown ...... 116 3.2.9 RNA extraction ...... 116 3.2.10 DNase Treatment and RNA Quantitation ...... 117 3.2.11 Complementary Deoxyribonucleic Acid (cDNA) Synthesis ...... 118 3.2.12 Real-Time quantitative-Polymerase Chain Reaction (RTq-PCR) ...... 119 3.2.13 Statistical Analysis ...... 119
3.3 RESULTS ...... 121
3.3.1 Time-course analyses of TGFβ1 expression in wounded mice skin ...... 121 3.3.2 Time-course analyses of TGFβ2 expression in wounded mice skin ...... 124 3.3.3 Time-course analyses of TGFβ3 expression in wounded mice skin ...... 129 3.3.4 Time-course analyses of TβRI and TβRII in wounded mice skin ...... 134 3.3.5 Flii knockdown alters TGFβ gene expression...... 139
3.4 DISCUSSION ...... 142
CHAPTER FOUR Flii Modulation of TGFβ Expression is Achieved by Direct Association with
Proteins Involved in the Expression and Activity of TGFβ
4.1 INTRODUCTION ...... 147
4.1.1 Binding properties of Flii protein ...... 147 4.1.2 Properties of the LRR motif ...... 148 4.1.3 The relationship between Flii and TGFβ ...... 149
4.2 MATERIALS AND METHODS ...... 151
4.2.1 Cells, Cell Culture ...... 151 4.2.2 Antibodies ...... 151
4.2.3 Immunocytochemistry ...... 152 4.2.4 Nuclear and cytoplasmic fractionation ...... 153 4.2.5 Immunoprecipitation ...... 154 4.2.6 Western Blotting ...... 155
4.3 RESULTS ...... 157
4.3.1 Flii associates with c-Fos and c-Jun ...... 157 4.3.2 Interactions of Flii with TGFβs ...... 160 4.3.3 Flii interacts with nuclear Akt in wounded cells ...... 169 4.3.4 Flii associates with Smad proteins ...... 172
4.4 DISCUSSION ...... 180
CHAPTER FIVE Regulation of TGFβ by Flii Association with the MAPK Signaling Pathway
5.1 INTRODUCTION ...... 187
5.1.1 Interaction of Flii with Ras GTPases ...... 187
5.2 MATERIALS AND METHODS ...... 189
5.2.1 siRNA knockdown ...... 189 5.2.2 RNA extraction ...... 189 5.2.3 DNase Treatment and RNA Quantitation ...... 190 5.2.4 Complementary Deoxyribonucleic Acid (cDNA) Synthesis ...... 191 5.2.5 Real-Time quantitative-Polymerase Chain Reaction (RTq-PCR) ...... 191 5.2.6 Primary Fibroblast Extraction and Culture ...... 192 5.2.7 Immunocytochemistry ...... 194 5.2.8 Collagen Secretion Assay ...... 195 5.2.9 Proliferation Assay ...... 195 5.2.10 Fibroblast Outgrowth Assay ...... 196 5.2.11 Statistical Analysis ...... 197
5.3 RESULTS ...... 198
5.3.1 Flii gene knockdown affects expression of AP-1 and Smad proteins ...... 198
5.3.2 TGFβ1 increases collagen secretion in WT, Flii+/- and FliiTg/+ primary fibroblasts ...... 201 5.3.3 TGFβ1 decreases FliiTg/+ fibroblast proliferation ...... 204 5.3.4 Proliferation of primary fibroblasts treated with MAPK inhibitors ...... 207 5.3.5 TGFβ1 decreases migration in Flii+/- fibroblasts ...... 209 5.3.6 MAPK inhibitors decrease fibroblasts outgrowth ...... 214 5.3.7 Comparison of WT, Flii+/- and FliiTg/+ outgrowths treated with MAPK inhibitors ...... 223
5.4 DISCUSSION ...... 229
CHAPTER SIX General Discussion
6.1 DISCUSSION ...... 238
6.1.1 Gelsolin and the AR ...... 238 6.1.2 Flii and TGFβs ...... 240 6.1.3 Future Directions ...... 244
BLIBLIOGRAPHY ...... 238
DECLARATION
I declare that this thesis does not contain without acknowledgement any work submitted previously for any academic award and that to the best of my knowledge and belief it does not contain any material previously published or written by another person except where otherwise acknowledged.
Huater Chan
May 2010
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ACKNOWLEDGEMENTS
I would like to thank my supervisors, Associate Professor Allison Cowin and Associate
Professor Barry Powell for their invaluable advice and support. I deeply appreciate
their patience, encouragement and support over the years. James Waters, Damien
Adams, Xanthe Strudwick, Zlatko Kopecki, Nadira Ruzehaji and Tony Lin of Wound
Healing Laboratory deserve a big thank you for all the assistance and support they have
provided. Special thanks to our collaborators at the Australian National University at
Canberra, Hugh Campbell, Ruth Arkell, Nicole Thomsen and Jane Hooper-Jones for their support and generosity in providing our laboratory and my project with transgenic mice.
I also would like to thank all the staff and students whom I have the honour to meet at the Women's and Child's Health Research Institute. I am particularly grateful to the past and present students in the PhD room for all their support and friendship throughout the years. I am especially grateful to all the intelligent conversations I had over the years. All the mutual support we gave each other will be solely missed.
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Lastly, I would like to thank my friends and family for all their support. Thank you to all my friends for your encouragement and patience over the years. Here I would like to express my deepest appreciation and the biggest thank you to my parents, Hing Chan and Boon Hwa Tan, sister, Yee Send Chan and brother Huasheng Chan. I am eternally grateful and honored to be a part of this wonderful family. I wouldn't be what I am today and could not have completed my studies without them. A special thank you to
Yoke Kim Lee who has accompanied me through the years. I am thankful for her care and concern over the years.
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ABBREVIATIONS
A Absorbance
α Alpha
ABP Actin binding protein
APS Ammonium persulfate
β-tubulin Beta-tubulin bp Base pair
β Beta
BCA Bicinchoninic acid
BSA Bovine serum albumin
°C Degrees celcius
Ca2+ Calcium
CaCl2 Calcium chloride
CaMK-II Calcium/calmodulin-dependent protein kinase type II
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cDNA Complementary deoxyribonucleic acid
CISK Cytokine-independent survival kinase
CO2 Carbon dioxide
Cy3 Cyanine 3 dATP Deoxyadenocine triphosphate dCTP Deoxycytidine triphosphate dGTP Deoxyguanosine triphosphate dTTP Deoxythyamine triphosphate
D0 Day 0 post-wounding
D3 Day 3 post-wounding
D7 Day 7 post-wounding
D14 Day 14 post-wounding
D21 Day 21 post-wounding
DEPC Diethylpyrocarbonate
DHT Dihydrotestosterone
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DMEM Dulbecco’s modified Eagle’s media
DNA Deoxyribonucleic acid
ECL Enhanced chemical luminescence
EDTA Ethyldiaminetetraacetic acid
EGF Epidermal growth factor
ELISA Enzyme linked immunosorbent assay
FCS Fetal calf serum
FITC Fluorescein isothiocyanate
FGF Fibroblast growth factor
FLAP Flightless-I associated protein
Flii Flightless-I protein
FliiTg/+ Flightless-I transgenic
Flii+/- Flightless-I heterozygous knockout
x g Times the force of gravity
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g Grams
H&E Hematoxylin and eosin
HFFs Human foreskin fibroblasts hr Hour
HRP Horse radish peroxidase
H2O2 Hydrogen peroxide
IgG Immunoglobulin-G
IL Interleukin
KCl Potassium chloride
kDa Kilo Daltons
KD Knock down
L Litre
LAP Latency associated peptide
λex Lambda (wavelength) of excitation
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λem Lambda (wavelength) of emmitance
LRR Leucine-rich repeats
LTBP latent TGFβ binding protein
M Molar
MAPK Mitogen-activated protein kinase
MgCl2 Magnesium chloride
min Minutes
mM Millimolar
MMP Matrix metalloproteinases
mm2 Millimeter square mRNA Messenger ribonucleic acid
NaCl Sodium chloride
NHS Normal horse serum
NLS Nuclear localization signal nM Nano molar
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PBS Phosphate buffered saline
PDGF Platelet derived growth factor
PIP2 Phosphatidylinositol 4,5-bisphosphate
PI3K Phosphoinositide 3-kinase
RNA Ribonucleic acid
Rpm Rounds per minute
RTq-PCR Real time quantitative polymerase chain reaction
SDS Sodium dodecylsulphate
SDS-PAGE Sodium dodecylsulphate polyacrylamde gel electrophoresis
SEM Standard error of mean
sec Seconds
siRNA Short interfering ribonucleic acid
TAE Tri(hydroxymethyl)methylamine-acetate-ethylediaminetetraacetic
acid
TβRI Transforming growth factor beta receptor one
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TβRII Transforming growth factor beta receptor two
TEMED N,N,N,N-tetramethylethylenediamine
TGFβ1 Transforming growth factor beta one
TGFβ2 Transforming growth factor beta two
TGFβ3 Transforming growth factor beta three
TNF Tumour necrosis factor
Tris Tri(hydroxymethyl)methylamine
TRS Target retrieval solution
µg Microgram
µl Microlitre
µm Micrometer
µM Micromolar
VEGF Vascular endothelial growth factor
WT Wild-type
x
WST-1 2-(4-iodophenyl)-3-(4-nitropheyl)-5-(2,4-disulfophenyl)-2H-
tetrazolium
x Times
x g Times the force of gravity
% Percent
= Equals
+ Plus
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CHAPTER ONE
General Introduction
1.1 Background
Scar contractures arising from abnormal wound healing continue to pose a significant worldwide clinical problem. Elective operations and operations due to trauma in the developed world account for more than 100 million patients acquiring scars each year, which can lead to significant health problems. In addition, burn injury is the most common household injury and results in more than 5 million patients worldwide acquiring burn scars each year, 70% of which occur in children. The problems are not just limited to physical and psychological trauma of the individual but also extend outwards and place a significant burden on families and communities for treatments.
Scarring results in loss of movements, restricted growth and deformity and is particularly important for children whose development often requires regular surgical correction. The long term economic impact involves loss of wages, constant health care cost and loss of skills as a result from scarring deformities. Unfortunately, current wound healing treatments such as garments, dressings or steroidal injections are sub- optimal. As a result, more research into cell based therapies or pharmaceutical drugs to improve wound healing must be conducted.
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1.2 WOUND HEALING
1.2.1 The process of wound healing
Wound healing is a restoration process in which the skin repairs itself after injury. In normal skin, the epidermis and dermis act as a protective barrier against the external environment and in the event that this barrier is breached, the systematic physiological process begins to re-establish the integrity of the protective barrier. Molecularly, cutaneous wound healing is a highly complex process involving biochemical reactions and interactions amongst cells and cytokines leading to the restoration, integrity and function of the skin. Cellular migration is one of the most important aspects of wound healing to restore the protective barrier. This process involves the actin cytoskeletal proteins which are regulated by the gelsolin family of actin binding proteins such as gelsolin and Flightless-I, which will be discussed later in this chapter.
The coordination of multiple cellular processes is a very delicate process, which ultimately determines the resultant scar formation from an unnoticeable hairline graze to keloid or hypertrophic scar contractures (Figure 1.1) at the opposite end of the spectrum. The process of wound healing can be divided into 3 distinct but interrelated phases (Figure 1.2), inflammatory phase, proliferative phase and remodeling phase 1.
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A C
B D
Figure 1.1
Typical outcomes of abnormal wound healing processes in which tissue repair is non- optimal. (A) Hypertrophic scars are usually raised and limited to the margins of the original wound. (B) Keloid scars infiltrate and invade the surrounding normal tissue area. Histological sections of hypertrophic (C) and keloid (D) scars. Type III collagen bundles are flatter but are predominantly parallel to the epithelial surface in hypertrophic scars. α-SMA (alpha - Smooth Muscle Actin) positive myofibroblasts are
present in hypertrophic scars. However, early collagen fibers in keloid scars are
arranged haphazardly to the epithelial surface possibly due to the absence of α-SMA
positive myofibroblasts.
Adapted from Santucci et al, 2001& Wolfram et al, 2009 6,7
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NOTE: This figure is included on page 4 of the print copy of the thesis held in the University of Adelaide Library.
Adapted from Gurtner et al, 2008 8
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Figure 1.2
Classic stages of the wound healing process. There are three phases of adult wound healing; inflammation (A), proliferation (B) and remodeling (C). The inflammatory phase, hemostasis, is restored by the formation of fibrin clots and, during this time, potent cytokines and chemokines are released to attract inflammatory cells into the wound site to prevent infection. The proliferative phase occurs about 2 – 10 days post- injury. It begins when fibroblasts migrate into the wound space to proliferate and differentiate into collagen producing myofibroblasts. The production of new ECM
(Extra Cellular Matrix) proteins allows angiogenesis and the subsequent migration of epithelial cells from nearby unwounded tissue into the wound site to re-epithelialize.
The remodeling phase involves the re-organization of the tissue matrix and lasts approximately for a year post-wounding. The contracted and re-epithelialized wound is slightly raised and damaged skin appendages are not restored. Dermal collagens laid down by fibroblasts are disorganized and the collagens begin to mature and are re- organized into thicker bundles that inevitably cause the formation of scar tissue.
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1.2.1.1 Inflammatory phase
Wound healing is initiated immediately in response to injury and the first action taken
is the restoration of hemostasis, characterized by the formation of a clot to prevent
further blood loss, and the onset of inflammation. The formation of a clot not only
provides a first barrier against infection but also forms part of the provisional matrix
which is required for incoming inflammatory cells into the wound site. Immediately
upon injury, fibrinogen is first cleaved by thrombin to produce fibrin. Fibrin monomers
then cross-link with one another to form a scaffold which in turn bind directly to
platelets to form a clot 2. The formation of fibrin is integral in the early phase of wound
healing as it binds to different cell types such as monocytes, neutrophils and fibroblasts
via cell surface integrin receptors. Fibrin can also interact with several growth factors
and cytokines such as fibroblast growth factors (FGF) and insulin-like growth factors
(IGF), which affects cellular migration and proliferation, as well as extracellular matrix
(ECM) production 3. Concurrently with the formation of a clot, platelets are also
activated by thrombin upon injury to release granules which contain a range of growth
factors vital in wound healing such as platelet-derived growth factors (PDGF), transforming growth factors (TGF) and epidermal growth factors (EGF) 4.
In addition, platelets also stimulate vasodilation and increase permeability to allow inflammatory cells to enter the wound site 5. This process is regulated by numerous
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cytokines and growth factors such as mast cells that produce histamines and
complement factors that assist in vasodilation and act as chemoattractants 9. As a result, vasodilation and increased capillary permeability cause a cascade of inflammatory cell influx and differentiation to supplement the release of more cytokines and growth factors at the wound site 5. Neutrophils are the first population of inflammatory cells that enter the wound site to clear up cell debris and invading bacteria 10. Neutrophils
also produce several proinflammatory cytokines such as interleukins (IL-1α, IL-1β, IL-6) and tumour necrosis factor – α (TNFα) 11. These factors attract circulating monocytes which migrate into the wound site where they are activated and subsequently differentiate into macrophages, where the process of phagocytosis continues in conjunction with the production of chemoattractants, fibronectin, elastin, complement factors and TGFβ 12. These factors together recruit more macrophages and fibroblasts to
the wound site. One of the most important cytokines released by the macrophages is
TGFβ which stimulates dermal fibroblasts to differentiate into myofibroblasts. The myofibroblasts then produce collagen which forms part of the provisional extracellular matrix 3. The migration of fibroblasts into the wound space marks the beginning of the
proliferative phase in wound healing.
1.2.1.2 Proliferative phase
Fibroblasts are important mesenchymal cells which play a dual role in the wound
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healing process 10. Firstly, fibroblasts produce collagen based ECM that eventually replaces the fibrin matrix, therefore regulating both growth and function of other cell types. Secondly, differentiated fibroblasts are also involved in wound contraction. The migration of fibroblasts into the wound site occurs in a well coordinated manner by navigation along the provisional matrix fibers and not in a haphazard manner 13. It is
therefore important to note that the arrangement of ECM in wound healing is crucial, as
many complications such as scarring arise out of disorganized ECM arrangement. The
interactions between the fibroblasts and the ECM are mediated by cell surface integrins
that bind to several matrix components such as fibrin and fibronectin 14. IL-1 and TNF-α
production by macrophages also induces the production of matrix metalloproteinases
(MMP) that clear away damaged ECM by removing the inflammatory debris, which
then allows the migration of proliferative cells into the wound site 15. Initiation of
permanent ECM production begins at the arrival of fibroblasts into the wound space.
The new ECM is comprised of mainly collagen which is predominantly synthesized in
fibroblasts as procollagen and exported out of the cell 16. In humans, collagen
production typically starts at day two post-injury and peaks between day five and
seven. The production of collagen matrix and the continuation of fibroblast migration
results in the development of granulation tissue which provides a template for tissue
growth and formation of myofibroblastic cells 17. A range of growth factors and
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cytokines including PDGF, EGF, FGF TNF-α, interferon-γ and most importantly TGFβ
are involved in the differentiation of fibroblasts into myofibrobasts which are major
contributors in extracellular matrix deposition. These specialized fibroblasts acquire
properties characteristic of smooth muscle cells and have the ability to generate
mechanical forces which result in lamellipodia formation and subsequent wound
contraction.
The formation of ECM is the first criteria that must be fulfilled before angiogenesis can
occur, as the ECM provides structural support in addition to a repository of important
growth factors for invading capillaries 18. Angiogenesis is the process where new blood
vessels are formed from neighboring intact capillaries. The movement of new capillaries
into the wound site is similar to the migration of fibroblasts that uses the established
ECM as guidance. Multiple growth factors are involved in this entire process including
VEGF, FGF, angiopoietin and TGFβ.
Re-epithelialization involves the migration of epithelial cells from the wound edge using components from the ECM such as collagen and fibronectin as structural foundations which ultimately results in re-establishment of intact epidermis over the newly formed granulation tissue. At the leading edge of the migrating tip are the keratinocytes. As basal keratinocytes migrate over the granulation tissue, they leave a
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stratified layer of proliferating keratinocytes and the process continues until
keratinocytes from opposite ends come in contact 1. Rapid re-epithelialization is desirable as it leads to the restoration of the skin’s function as a barrier to defend against micro-organisms, protect from trauma and prevent water loss.
1.2.1.3 Remodeling phase
The remodeling phase involves re-organization of the tissue matrix by means of removal of fibronectin and hyaluronic acid and the replacement of a stronger and more
organized ECM framework composed of collagens 19. Degradation of the initial matrix
and regulation of the new collagen matrix involves the family of matrix
metalloproteinases (MMP), which require controlled expression of exact combinations
of MMPs regulated in part by PDGF, IL-1 and TGFβ 20. Regulation of collagen requires a
balance between collagen production, collagen breakdown and collagen remodeling.
Over time, the proportion of collagen I content in the granulation tissue will increase
with a corresponding decrease of collagen III until it returns to the basal levels of
collagen I to collagen III ratio of 90% : 10% in unwounded skin 19.
Maturation of collagen fibers occurs approximately six to ten days after injury where
the deposited collagens are absorbed and re-organized into thicker bundles parallel to
the skin, correlating with increased tensile strength 12. Studies suggest that new collagen
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fibres are orientated in an organized manner which is characteristic of the remodeling
phase of wound healing and results in scar formation, ranging from fine lines to
widespread scars 21. Scar formation is the inevitable outcome in the final remodeling
phase of wound healing in adult humans. One of the causes is the influence of fibrotic
agents, causing fibrosis to take place during the fibro-proliferative response. The main
cause of scarring is the continual presence of fibroblasts that over synthesize collagen
leading to hypertrophic scar morphology 12.
1.3 The Cytoskeleton
1.3.1 Types of Cytoskeleton
The cytoskeleton is a complex and highly dynamic network of microfibers found in the
cell’s cytoplasm. The cytoskeleton was originally thought to provide cellular mechanical
strength, locomotion, support organelles and maintain cell shape. However, it is now well-known that the cytoskeleton is also involved in other processes as well as pathologies arising from cytoskeletal defects 22. The structural integrity of eukaryotic
cells are made up of three molecular building blocks, microtubules, microfilaments and
intermediate filaments (Figure 1.3) differentiated by their sizes from large to small
respectively 23. Each of these cytoskeletal proteins has their own functional roles but
together they function synergistically with each other to withstand higher mechanical
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Cell membrane
Nucleus
Centrosome
Microtubule Intermediate filaments Actin
Figure 1.3
Illustrative figure and immunofluorescent staining of microtubules, intermediate
filaments and actin within a typical cell.
Microtubule image obtained from Monton et al, 2009 24
Microtubules 12
stress25,26. The cytoskeletal properties in epithelial cells are especially important in
wound healing as they not only sense the environment but also allow migration from
healthy unwounded tissue into the wound site to re-establish epithelial integrity.
1.3.1.1 Microtubules
Microtubules are large fibrous cytoskeletal structures measuring approximately 25nm in diameter. They are arranged in straight, hollow, cylindrical aggregates made up of alpha and beta tubulin dimers assembled together 27. Microtubules are highly dynamic
and participate in a wide range of cell activities, mostly involving motion but also
including cellular division, morphogenesis and organelle transport. Being an important molecule in cellular motility, the highest concentration of microtubules are found at locomotive structures such as the cilia and flagella of motile cells 27. Cellular
propagation is achieved by the continuous polymerization of tubulin dimers at the plus
end and depolymerization at the minus end of a polarised cell. This process utilizes
energy by means of GTP hydrolysis which is expected since tubulin has GTPase
activity. The movement of cellular components such as vesicles takes place along the
microtubule network. This process requires two microtubule motors, kinesin, which
moves toward the plus end of the microtubules and dynesin, which moves toward the
minus end of the microtubules 28.
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1.3.1.2 Intermediate filaments
Intermediate filaments are the second largest cytoskeletal structure after the microtubules, measuring approximately 10nm in diameter 23. Intermediate filaments consist of a conserved central α-helical domain flanked by variable N and C termini that contribute to the diversity of the intermediate filament family 29. The α-helical rod shape arrangement contains seven-residue repeats that interact with other intermediate filament protein to form a coiled-coil dimer 30. This structural configuration allows the intermediate filaments to interact with a range of protein complexes at the cell surface, including desmosomes, hemidesmosomes, focal adhesions and the extracellular matrix
31, 32. The interaction with cell surface molecules suggests that intermediate filaments may act as a sensory mechanism that relays signals from the cell surface to the surface of the nucleus.
1.3.1.3 Microfilaments (Actin)
Microfilaments, also known as actin, are the smallest of the three cytoskeletal proteins and the most important during wound healing. Actin is a highly conserved eukaryotic molecule expressed in animals, plants and fungi. Feuer et al, 1948 33 first identified actin as a major muscle component. Since then, actin has been identified in multiple important cellular processes including cellular motility, cell division and structure.
There are two main isoforms of actin, unpolymerized globular monomeric actin (G-
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actin) and polymerized, filamentous actin bundle (F-actin); both exist in equal amounts in vivo 34. F-actin assembly is an energy requiring process in the form of ATP hydrolysis
35. Double-stranded, helical F-actin is always in a constant state of flux with G-actin
monomers, being added to the ‘plus’ end and depolymerized at the ‘minus’ end.
Comparison of different actin structures showed that while their overall configurations
are analogous, they show considerable local differences due to the intrinsic dynamics of
actin filaments modulated by different effector molecules and interactions with other
proteins to form a complex 36.
1.3.1.4 Stress fibers
Stress fibres are contractile actomyosin structures composed of mainly unorganized
actin filament bundles. This is the basic cellular structure that provides the contractile
force required for cell morphogenesis and migration 37. The constant contraction of
stress fibres are in balance with cellular adhesion strength as it results in a more stable
formation of actin bundles that maintain a constant length even under tension 38. There
are three classes of stress fibres in mammals. The first class is the ventral stress fibres
that associate with focal adhesions at both ends and are responsible for tail retraction 39.
The second class is the transverse arcs found from the leading edge to the cell centre
and they do not directly associate with focal adhesions but connect to the substrate via
the dorsal stress fibres which are the third class of stress fibres 39,40. Dorsal stress fibres
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associate themselves from the focal adhesion sites at one end to the dorsal section of the cell at the opposite end and therefore efficiently propagate contractile forces from the cell to the substrate 37. Stress fibres highlight the dynamic capabilities of actin filaments and their importance in cell migration.
1.3.2 Actin dynamics in wound healing
In the event of an injury, surrounding motile cells such as fibroblasts migrate towards each other during wound healing. These wound edge motile cells are induced by various extracellular signals to undergo a transition from a non-polarized to a polarized state 35. Once polarized, cells have the ability to migrate by forming and extending protrusive structures, known as lamellipodia and filopodia. Lamellipodia are large sheets which consist of branched actin filaments at the front of a leading edge cell and filopodia are long, parallel actin filaments that protrude beyond the cell membrane 41.
Evidently, actin in this situation develops two different organizations for lamellipodial formation and filopodial protusion. In lamellipodia, small GTPases cdc42 and Rac activate proteins of the Wiskott-Aldrich syndrome family such as Wiskott-Aldrich syndrome protein (WASP) and WASP-family verprolin-homologous protein (WAVE) which in turn activates Actin-related protein (Arp) 2/3 complex 42. Activated Arp2/3 complex will lead to the nucleation of actin filament branches that results in a broad network of actin filaments 43. Cdc42 in filopodia however, promotes parallel linear actin
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polymerization, aided by formins, vasodilator-stimulated phosphoprotein (VASP) and
fascin 44. Clearly, the formation of these protrusion structures is tightly regulated and
cellular migration is dependent on the balance between polymerization on the ‘plus’
end and depolymerization at the ‘minus’ end of F-actin. Therefore to facilitate cellular
motility, the process of polymerization and depolymerization has to be coordinated
such that, on average, the filament moves forward in one direction.
Cell-matrix adhesion is another factor determining migration. During migration, cells
form protrusions that require new attachment sites or focal contacts at the leading edge
to provide traction between the actin cytoskeleton and the underlying substrate 45. The
formation of new focal adhesion contacts is mediated by integrins which are a family of
heterodimeric transmembrane receptors that connect the extracellular matrix to the
actin cytoskeleton 46. Focal complexes act as a "clutch handle" to connect the integrins to
the actin cytoskeleton and in the early stages consist of dynamic proteins such as β3-
integrin, talin and paxillin (Figure 1.4). In addition to providing traction, cell-matrix adhesions also act as extracellular sensors. The force generated by the actomyosin contraction induces focal complex maturation which allows further recruitment of actin binding proteins such as α-actinin, VASP and FAK and further actin polymerization 47-
49. These protein complexes are localized to the leading edge
17
NOTE: This figure is included on page 18 of the print copy of the thesis held in the University of Adelaide Library.
Adapted from Le Clainche et al, 2008 50
18
Figure 1.4
Cellular adhesion acts as a "clutch handle" to connect the integrins to the cytoskeleton.
This allows the conversion of the force generated by actin polymerization into protusion. The actin network is represented in grey and newly formed actin is represented in pink. Adhesion molecules are represented in blue. Cellular substrate is represented by the red lines. The cell boundary is represented by the yellow lines. (A)
No connection of the adhesion molecules and the actin cytoskeleton. In this scenario, no protusion occurs as actin polymerization is converted into retrograde flow. (B)
Connection of the polymerizing actin network to the substrate via the adhesion molecules. In this scenario, the connection between the polymerizing actin network and the substrate provides traction that enables cellular protusion.
19
of cells which assemble and disassemble during cellular migration. These events,
coupled with the forward motion, occur with the simultaneous retraction of attachment
sites at the trailing end of the cell, allowing the cell to pull its rear, therefore driving the
cell in a single direction. This process is known as ‘treadmilling’ which allow cells to
migrate into the wound site (Figure 1.4). ‘Treadmilling’ is a highly complex process that
requires the coordination of a set of proteins including but not limited to actin
depolymerizing factor (ADF) or cofilin, profilin and capping proteins such as the
gelsolin family of actin binding proteins 35.
1.4 Gelsolin family of Actin Remodeling Proteins
Cytoskeletal rearrangement is fundamental in wound healing to facilitate cell
movement and its process involves a wide range of proteins. Among these is the
gelsolin superfamily of actin binding proteins (ABP). The gelsolin superfamily is a
conserved family of proteins present in mammalian cells and is characterized by having either three or six homologous gelsolin-like structural domains known as G1-G6
segmental domains (Figure 1.5A). Early studies of gelsolin, the founding member of the
family, identified three actin binding regions, a calcium independent strong monomer
binding fragment (G1), a calcium independent filament binding fragment (G2-3) and a calcium dependent monomer binding fragment (G4-6) 51.
20
NOTE: This figure is included on page 21 of the print copy of the thesis held in
the University of Adelaide Library.
Figure 1.5
(A) Schematic representation of human plasma gelsolin domain structure and residue
G1-G6. Ca2+, phosphatidylinositol 4,5-bisphosphate (PIP2) and actin binding segments are shown. (B) Gelsolin superfamily members include villin, supervillin and flightless-I that have additional unique domains beyond gelsolin G1-G6 domains. CapG which has only 3 gelsolin domains is also a member of the superfamily. ABD, actin binding protein. NLS, nuclear localization signal.
Adapted and modified from Sun et al, 1999 52
21
Other members of the family such as villin and supervillin have additional actin
binding domains that provide a unique function to each member 53. Supervillin has an
N-terminal addition which is capable of protein-protein interactions and nuclear
localization. CapG has undergone evolutionary truncations and has only the G1-G3
gelsolin domains but still retains full actin severing properties 54. The Flightless-I protein
(Flii) contains an N-terminal leucine rich repeat (LRR) region that is capable of protein- protein interactions. Taken together, members of the gelsolin family have roles other than just actin remodeling owing to their specific additional domains.
Previously, it was thought that there was a potential for redundancy due to the homology between members of the gelsolin family. This is true to some extent owing to the conserved gelsolin-like domains. However, research has shown otherwise. For example, expression patterns of gelsolin and CapG are complementary to one another indicating that they have distinct in vivo functions 55. In fact, a CapG and gelsolin double
knockout study demonstrated that CapG is highly essential in actin-based macrophage
motility that is distinct from gelsolin and its functions include macrophage receptor mediated ruffling, IgG complement and phagocytosis 56.
1.4.1 Gelsolin
Gelsolin is the founding member of the family and regulates the dynamics of
22
filamentous actin by means of binding, severing and capping actin filaments 52. This
process is initiated by Ca2+ which causes a conformational change that allows gelsolin to
bind to actin and severing it while remaining bound to the barbed end. Uncapping of
actin occurs in the presence of phosphatidylinositol lipids which bind to gelsolin thereby uncapping and exposing the barb ends for further actin polymerization 57.
Other modes of action that are also known to affect activity include phosphorylation
and binding to adenosine triphosphate (ATP) 58,59.
1.4.1.1 Gelsolin in Clinical Settings
Recent research has implicated gelsolin in various diseases including a systemic
disorder known as Hereditary gelsolin amyloidosis 60,61, Meretoja's syndrome (lattice
corneal dystrophy) 62 and a role in Alzheimer's disease 63-65. Furthermore, over-
expression of gelsolin is linked to a negative prognosis in a subset of breast tumours
which show higher expression of tyrosine receptor kinase erbB-2 and EGFR 66.
Interestingly, excluding the above subset of carcinomas, gelsolin is generally considered
to be a tumour suppressor 67. It is reported that tumour progression is correlated with
decreased expression of gelsolin and that over-expression of gelsolin inhibits carcinogenesis. These observations suggest that gelsolin possesses complex multi-role
properties other than as a downstream actin remodeling molecule.
23
1.4.1.2 Involvement of Gelsolin in Cellular Apoptosis
Apart from being a simple cytoskeletal actin modulator, gelsolin is also involved in
other cellular processes such as being a contributor to cellular apoptosis 68 and the
regulation of Rac proteins 69. Gelsolin is a substrate for caspase-3 which is the core effector caspase activated during apoptosis 70. Gelsolin severing of the actin
cytoskeleton is calcium dependent under normal cellular conditions. However, when
cleaved by caspase-3 to produce the amino-terminal cleavage product (residues 1-352),
gelsolin severing of the actin cytoskeleton becomes calcium independent and results in
the disassembly of the membrane cytoskeleton, which is characteristic of apoptosis 68.
Over-expression of this gelsolin fragment in cells results in apoptosis whereas gelsolin
knockout neutrophils exhibited a delay in the onset of apoptosis more slowly than wild-
type neutrophils 71. These findings highlighted the role of gelsolin in mediating the
apoptotic pathway.
Conversely, a pro-apoptotic role of gelsolin has also been identified. This is supported
by the fact that most cancer cells expressed significantly lower levels of gelsolin 72-74. In
addition, research has shown that over-expression of gelsolin inhibits apoptosis 71. This
is consistent with findings from another group 75 showing the inhibition of apoptosis in
stimulated Jurkat cells (human T-cell line) following gelsolin over-expression at several
times the normal levels. Furthermore, over-expression of a gelsolin mutant form that is
24
more sensitive to phosphoinositide, suppresses Ras transformation 76. Currently, the conflicting role of gelsolin in apoptosis remains to be elucidated. However, one possible explanation for the conflicting observations is that gelsolin may interact with other intracellular proteins such as phosphoinositides, which as a complex, function as a competitive inhibitor of caspase-3 77. These findings which implicate gelsolin in apoptosis and carcinogenesis highlight the complexity in the balance between the multiple regulatory role of gelsolin.
1.4.1.3 Biological Functions of Gelsolin
Genetic knockout of gelsolin display a mild phenotype allowing the mouse to develop into adulthood 78. Regardless of the mild phenotype accompanied with genetic knockouts, the effect of manipulating gelsolin expression is significant at the cellular level. Gelsolin null skin tissue has pronounced actin stress fibers due to the limited ability to sever and remodel actin filaments 78. As a result, the lack of gelsolin causes poor ruffling of actin filaments in response to growth factors 69 as well as the restriction of platelet activation by actin severing, subsequently hindering the clotting mechanism
78. In addition, cellular motility is heavily reliant on actin cytoskeletal rearrangement.
For example, the formation of lamellipodial and filopodial protusions of neuronal growth cones are induced mainly by adseverin and the presence of Ca2+ but in gelsolin null mice the retractions of the protusions are severely delayed, slowing cellular
25
motility 79. Furthermore, the motility of migratory cells such as fibroblasts is also
negatively affected in gelsolin null mice 78. Gelsolin-null macrophages also exhibit
impaired IgG-mediated phagocytosis 80. As a consequence, gelsolin null mice exhibit
defective chemotaxis and slower wound healing, consistent with reduced cellular
motility. These findings indicate the importance of gelsolin in the regulation of actin
dynamics.
1.4.1.4 Gelsolin and the sex steroid hormones
Previous studies have implicated gelsolin in the hormone mediated wound healing
process 53,81,82. It is known that androgens and estrogens are important regulators of
wound repair, highlighted by the improvement of healing in young females versus elderly males and females 83. However, sex steroid hormones are better understood in the development of primary and secondary sexual characteristics. In humans, adrenal
cortex and the primary sexual organs, ovaries and testes, are major production sources
of sex steroid hormone precursors. Both estrogen and androgen are synthesized from
an inactive common steroidal precursor, dehydroepiandrosterone that is secreted in
large amounts by the adrenal cortex 84. The formation of the inactive form allows target
tissues to control the formation and metabolism of the sex steroid hormones according
to their requirements. Activation requires the initial conversion of
ehydroepiandrosterone to androstenedione by 3β-hydroxysteroid dehydrogenase.
26
Several enzymes namely, 3β-hydroxysteroid dehydrogenase, 17β-hydroxysteroid
dehydrogenase, 5α-reductase and aromatase subsequently convert androstenedione to
the naturally more potent bioactive estrogen, 17β-estradiol and androgen,
Dihydrotestosterone (DHT) which are involved in downstream biological processes.
Downstream effects of the sex hormones are mediated through the nuclear hormone
receptors which regulate the expression of target genes. Post-menopausal women suffer
from impaired wound healing and this is correlated with lower physiological levels of
estrogen. This is highlighted by a prolonged inflammatory response, higher protease levels and reduced matrix deposition 85. Closer studies revealed that topical estrogen is
able to repair skin atrophy, wrinkles and dryness in post-menopausal women and is
associated with accelerated wound repair, highlighted by a reduced inflammatory
response 86 and enhanced extracellular matrix deposition 83. Topical treatment with
estrogen was also found to be beneficial by reversing the reduced healing rate in elderly
women 87. Male counterparts also benefit from this treatment which led to significantly
lower inflammatory responses during wound healing.
In contrast, androgens impede wound healing and are associated with increased
inflammation and wound immune cell dysfunction 88. Furthermore, murine studies
done byAshcroft et al, 2002 89 and Gilliver et al, 2006 90 reported that castration of male
27
mice or treatment with AR antagonists resulted in a marked improvement of wound repair. This is in part due to the decrease in overall inflammation by inhibiting the upregulation of proinflammatory cytokines by endogenous androgens. As a result, target inhibition of 5α-DHT expression could be used therapeutically for the acceleration and improvement of wound healing.
Taken together, the findings show that while estrogen positively regulates the wound healing process, androgens showed detrimental effects. Therefore, being male is considered to be a risk factor for abnormal wound healing particularly in the elderly 91.
Clearly the complexities of sex hormones are not restricted to the sole purpose of regulating and maintaining sexual characteristics, it also significantly affects the process of wound healing. Therefore, it is safe to assume that while the underlying wound healing process in males and females are similar, there are differences in the mechanism due to the variation in hormonal makeup in males and females. The implications for sex hormones in wound healing have only been established recently and the mechanism of their actions remains unclear.
1.4.1.5 Nuclear hormone receptor signaling
Androgens (testosterone or its metabolite DHT) act through binding to the Androgen
Receptor (AR), which is a ligand inducible nuclear receptor. The AR is an 110kDa
28
protein belonging to the nuclear receptor family which upon binding to a ligand, typically DHT, translocates into the nucleus and binds to androgen response elements
(AREs). In addition to its primary role, AR also plays important roles in the sex hormone mediated wound repair process.
Nuclear receptors (NR) constitute a family of transcription factors that is regulated by diverse ligands ranging from steroid hormones, lipids to retinoids. NRs mediate their effects by binding to response elements at their target promoter regions (reviewed in 92.
NRs have a centrally located, highly conserved DNA-binding domain (DBD) characteristic of all NRs. Located in the C-terminus of the hormone binding domain and the N-terminus lies the activator function 1 (AF-1) and activator function 2 (AF-2) that are primarily responsible for transcription activation by hormone-activated bound NR.
Their full activity is dependent on ligand binding and the target gene promoter. The majority of ligands bind NRs as dimers that either regulate transcription directly by binding to enhancer elements at the gene promoter, or indirectly by potentiating
nuclear translocation and DNA binding efficiency.
1.4.2 Flightless-I
Flii is a member of the gelsolin superfamily and has highly conserved homologues
sharing 52% and 69% protein sequence similarity between Caenorhabditis elegans and
29
human respectively 53. The human Flii gene spans 14kb of genomic DNA and contains more introns than human gelsolin or villin 54. The carboxy terminal half of human Flii
has 31% identity and 52% similarity to human gelsolin (Figure 1.5B) 93. The Flii gene is
located in the subdivision 19F on the X-chromosome which encodes a 1256 amino acid peptide with a molecular weight of 143, 672 Da 94.
1.4.2.1 Biological Functions of Flii
The name Flii was given because point mutations in the gene disrupt the structural
organization of Drosophila melanogastor’s indirect flight muscle myofibrils and result in a
flightless phenotype 95. Drosophila melanogastor eggs lacking maternally supplied Flii
showed incomplete cellularization and impaired gastrulation, associated with a
disorganized actin cytoskeleton (Figure 1.6) 96. The flightlessness and the incomplete
cellularization phenotypes indicated that Flii is required for proper actin organization
during myogenesis and embryogenesis respectively. In humans, the Flii locus has been
mapped to a region deleted in the Smith-Magenis Syndrome which is associated with
developmental and psychological abnormalities 97.
Homozygous knockout studies of Flii revealed more important roles of Flii during
development. In Drosophila, homozygous knockout of Flii resulted in the disruption of
the syncytial blastoderm during cellularization leading to early embryonic
30
Figure 1.6
Cross-sections showing abnormal cellularization of Flii mutant Drosophila embryos. (a, c, e) Wild-type embryo. (b, d, f) Flii mutant embryo. No significant differences between wild-type and Flii mutant embryos are visible during syncytial blastoderm stages (a-b).
However, when cellularization occurs and the nuclei begin to elongate, the layer of nuclei in Flii mutant embryos begins to appear disorganized (c-d). During gastrulation, nuclei align themselves to face the outside of the embryo (e). In Flii mutant embryos, the nuclei move out of the incompletely cellularized peripheral layer of cytoplasm into the interior of the egg. Bar = 50µm in (b).
Obtained from Straub et al, 1996 96.
31
developmental arrest 98. In murine models, homozygous knockout is embryonic lethal,
with development arresting at a stage preceding gastrulation. Using a human Flii
transgene, normal development of Flii homozygous knockout mouse embryos can be
restored 98. Coupled with the fact that Flii heterozygous mice exhibit no impediments during development, this indicates that a single copy of Flii gene is adequate for normal gene function 98. A homolog of Flii has been implicated in the establishment of the
anterior-posterior polarity in Caenorhabditis elegans 99. It was found that the Flii
homolog also regulates the cytokinesis of somatic cells and the development of
germline. These findings indicated the importance of Flii in performing essential
functions during early embryogenesis in Drosophila, C. elegans and mammals.
1.4.2.2 Protein Interactions are mediated through the Flii LRR domain
The Flii protein represents an interesting fusion of two functionally distinct protein
families’ evolutionary gene insertion events. Flii is a functional filamentous actin
severing protein but, unlike gelsolin, it functions independently of Ca2+ 100. The 5’ end of
Flii protein consists of 16 tandem repeats of 23 amino acid LRR fused to the gelsolin-like
G1-G6 segmental domain by a linker of approximately 100 amino acid residues, making
it a unique member of the gelsolin superfamily (Figure 1.5B). Like many other LRR
containing proteins, the Flii LRR domain may form a hydrophobic, curved solenoid
structure 101 that is particularly suitable for protein-protein as well as protein-lipid
32
interactions involved in signal transduction, either by binding directly as a ligand or as
a regulator to mediate receptor-ligand binding affinity 102. The first binding partner of
Flii discovered is known as the Flightless-I LRR associated protein (FLAP) of size 626
amino acids 103.
1.4.2.3 Involvement of Flii in cellular processes
As the functions of Flii are still largely unknown, interactions of Flii in cellular
processes continue to be revealed. Recent research has reported that Flii directly and
preferentially interacts with the active form of calcium/calmodulin-dependent protein
kinase type II (CaMK-II), a protein kinase involved in the progression of the cell cycle
104. When CaMK-II was inhibited, Flii over-expression suppressed the transcription of β- catenin dependent transcriptional reporters but the suppression of Flii expression enhanced β-catenin transcription. Furthermore, the mammalian Flii has been identified to be involved in the nuclear receptor signaling by directly associating with estrogen and thyroid hormone receptors as well as their co-activating transcriptional factors,
CARM1 and GRIP1 105. In this case, Flii localizes to the promoter region and functioned as a co-activator protein that actively recruit and coordinate other transcriptional factors
such as p160, mediator and the SWI/SNF complex 106. This allows the assembly of a
larger estrogen receptor associated co-activator complex onto the promoter region of an
estrogen inducible gene. On the other hand, a cytokine-independent survival kinase
33
(CISK) is a downstream phosphoinositol 3-kinase target has been identified to interact with Flii to regulate the estrogen receptor 107. In the study, Flii was found to be a CISK
substrate where it was shown that CISK could phosphorylate Flii at residues Ser436 and
Thr818. This indicated that Flii could be post-translationally modified and is of
importance in determining its multifunctional properties. These findings suggest a role
of Flii in the regulation of the cell cycle.
Flii has also been implicated in the immune response. It was revealed that Flii regulated
pro-inflammatory caspase-1 and capase-11 by direct association and modulation of their intracellular localization and activity 108. The regulation of the pro-inflammatory
caspases impact on the maturation of interleukin-1β 108, therefore potentially affecting
its activity in processes such as wound healing. The role of Flii in the immune response
is also reported by Wang et al (2006). The authors showed that Flii directly interacts
with MyD88 which is an immediate downstream adaptor protein of Toll-like receptors
(TLR) involved in the regulation of signaling specificity in the innate immune system.
This interaction prevents the formation of TLR4-MyD88 complex which subsequently inhibited the activation of NFkB.
34
1.4.2.4 In Vitro and In Vivo Expression of Flii
Flii can be induced by serum to translocate from the nucleus to the leading edge of the cell, membrane ruffles and actin arcs where Flii colocalizes with Ras and GTPases 109.
The co-localization of Flii with Ras is consistent with findings using kinetic analysis based on competitive inhibition of Ras-dependent adenylyl cyclase activity which showed the association of the LRR domain of Flii with Ras 94,100. Ras proteins are involved in the regulation of the actin cytoskeleton where the interaction with Raf-1 connects actin to the mitogen-activated protein kinase (MAPK) pathway 100. Therefore, the interaction of Flii with Ras proteins provided a link to the MAPK pathway. The connection of Flii to a signaling pathway is further strengthened by a study which revealed the interaction of Flii to the phosphoinositol-signaling pathway in the regulatory events during ovulation 99.
In Swiss 3T3 fibroblasts, Flii located in the nuclear periplasmic region colocalizes with microtubules 109. In general, Flii protein localizes to actin based structures both in vitro and in vivo 94. The significance of this localization pattern remains unknown but suggests a possible function for Flii in actin regulation. However, the nuclear shuttling trait is not only limited to Flii as supervillin, CapG and gelsolin are also capable of nuclear translocation, and is the first indication that Flii may be involved in roles that are distinct from an actin remodeling protein.
35
1.4.2.5 Flii protein is a Negative Regulator of Wound Healing
Recent wound healing studies using mice heterozygous Flii knockout and mice over-
expressing the Flii gene demonstrated that Flii is an important negative regulator of the
wound healing process 110,111. The study showed that Flii regulates wound healing by
affecting cellular proliferation, motility and collagen I production in both epidermal
keratinocytes and dermal fibroblasts. Flii heterozygous mice displayed smaller and
more contracted wounds, coupled with an increase in α-smooth muscle actin-positive
myofibroblasts (Figure 1.7A). Conversely, Flii over-expressing transgenic mice
displayed increased wound area and dermal gape, reduced cell proliferation and
delayed epithelial migration (Figure 1.7C) compared to wild-type (Figure 1.7B) 111. It
was also found that Flii deficiency was associated with reduced collagen I production,
as evident from in vivo mouse wounds and in vitro siRNA knockdown fibroblasts. As
collagen I is the most highly produced collagen in response to wounding, the regulation
of it greatly affects the extent and outcome of cutaneous fibrosis and scar formation 112.
In burn wounds, pro-scarring TGFβ1 protein and gene expression were significantly
lower while anti-scarring TGFβ3 was higher in mice heterozygous for the Flii gene.
Furthermore, the addition of Flii neutralizing antibodies to in vitro incisional wounds
(Figure 1.7D) 111 as well as burn wounds 110 significantly improves wound healing, which indicated the possibility of modulating Flii activity to improve wound repair.
36
A
D
Flii+/-
B
WT
C
FliiTg/+
Figure 1.7
In vivo incisional wounding of WT, Flii heterozygous (Flii+/-) and Flii over-expressing mice (FliiTg/+) at day 3 post-wounding. (A-C) Incisional wounds showing improved healing in Flii+/- mice whereas FliiTg/+ mice show impaired healing compared to WT. (D)
Comparison of incisional wounds treated with Flii neutralizing antibodies in WT mice.
Images obtained from Cowin et al, 2007 111
37
1.5 TRANSFORMING GROWTH FACTOR BETA (TGFβ)
1.5.1 TGFβ superfamily
TGFβ is an important cytokine that is ubiquitously expressed in mammals and governs a substantial number of wound healing activities and processes in terms of cellular growth, differentiation, proliferation and adhesion. The TGFβ superfamily (Table 1.1) consists of highly conserved growth regulatory proteins that include bone morphogenenic proteins (BMP), activins, inhibins and Mullerian inhibitory factor (MIF) characterized by their sequence homology 113. Here, we are focusing on three isoforms of TGFβ in mammals; TGFβ1, TGFβ2 and TGFβ3.
All TGFβ isoforms are expressed in the skin and play important roles in wound healing
114,115. In general, TGFβs act as chemoattractants during injury to direct an immune response towards the invading pathogens. TGFβ1 can stimulate the production of ECM such as collagen and therefore contribute to scarring. Studies using neutralizing antibodies to TGFβ1 and TGFβ2 showed improve healing with reduced scarring, indicating the detrimental effects of TGFβ1 and TGFβ2 isoforms in wound healing 116,117.
However, the exogeneous addition of TGFβ3 promoted wound healing indicating that
TGFβ3 is a positive regulator of wound healing 116,118.
38
TGFβs BMPs/GDFs Activins/Inhibins Others
TGFβ1 BMP-2 Activin A MIS TGFβ2 BMP-4 Activin B Lefty A TGFβ3 BMP-5 Activin C Lefty B BMP-6 Activin D BMP-7 Activin E BMP-8 BMP-9 BMP-10 BMP-15 Nodal GDF-1 GDF-3 GDF-5 GDF-6 GDF-7 GDF-9
Table 1.1
TGFβ superfamily members. The mammalian members of the TGFβ superfamily are sub-divided into (i) TGFβs, (ii) BMPs/GDFs (growth and differentiation factors), (iii)
Activins/Inhibins and (iv) other more distally related members, based on their structural characteristics.
39
TGFβs are potent cytokines with a range of regulatory receptors 119. The mature
peptides share 70-80% amino acid sequence identity and interact with the same
receptors 120,121. The regulation of TGFβ involves multiple checkpoints, from its
activation to signal transduction and these will be discussed below. Although extensive
research has been done on TGFβ, the full effects of TGFβ are still being elucidated as the
multifunctional nature of TGFβ is greatly influenced by a range of conditions including
cell type, growth conditions and presence of other growth factors.
1.5.1.1 TGFβ Activation and Structure
TGFβs are initially synthesized as large precursor polypeptides where they undergo
further proteolytic processing in the Golgi apparatus 119. The newly processed, mature
TGFβs non-covalently bind to the latency associated peptide (LAP) located at the N-
terminal domain, rendering it inactive by preventing interaction with its receptor. The
activation of TGFβ occurs via a multistep process involving different cell types,
proteolytic enzymes and the current micro-environment. There are many ways in which
TGFβ can be activated. These include acidification of microenvironments, action by
oxygen reactive species and steroid hormones such as anti-estrogens, retinoids, vitamin
D and glucocorticoids 122. However, during wound healing, TGFβ can be activated by secreted proteases such as plasmin and thrombospondin which can cleave off the LAP.
40
In the wound site, reactive oxygen species and an acidic environment can both disrupt
the interactions between LAP and TGFβ to release bioactive TGFβ 123.
Another protein called latent TGFβ binding protein (LTBP) serves as a further control
during TGFβ activation. It covalently associates with LAP through two disulphide
bonds at the C-terminus 124. LTBP is important in the processing and secretion of mature
TGFβ such that its own expression is co-regulated with TGFβ 125. This also suggests a feedback loop between the expression of LTBP and TGFβ. Studies have shown that in the absence of LTBP, latent TGFβ secretion declines and it is mostly retained in the cis-
Golgi apparatus but, in the presence of LTBP, the association of LTBP with LAP
accelerates the secretion of mature TGFβ 126,127. This study has shown that LTBP
expression and TGFβ secretion are inter-connected and therefore serve as a regulatory
control over TGFβ activation.
The bioactive TGFβ released resembles a butterfly knot structure made up of two
12.5kDa molecules held together by four intrachain disulfide bonds formed by eight
cysteines. An additional sulphydryl bond on the last cysteine residue links another
monomer to form a 25kDa dimeric molecule (Figure 1.8 A, B). In most cases, TGFβs are
homodimeric molecules but heterodimeric TGFβ such as β1:β2, β1:β3 or β2:β3 can also
41
C
Adapted from Groppe et al, 2008 & Weiskirchen et al, 2009 128,129
42
Figure 1.8
Domain and three dimensional structure of mature TGFβs and interactions with TβRs.
(A) Within each TGFβ1 monomer, there are four intrachain disulphite bonds including
one conserved intrachain disulphite bond indicated as speckled line. TGFβ1 individual
monomers are linked together by a disulphite bond at position 77 of the mature
peptide. (B) The 4 intrachain disulphite bonds and the intermolecular disulphite bond
folds the dimer into a butterfly-like tertiary structure typical of all TGFβ isoforms. (C)
Ribbon and molecular surface representation of TGFβ ligand-receptor interaction in a ternary complex. TGFβ3 monomers are shown in blue and red. TβRI shown in yellow and TβRII shown in green.
43
be formed and this contributes to the extensive repertoire of biological processes
involving TGFβ 130. Mature TGFβ dimers will subsequently bind to their respective
target receptors to induce expression of downstream genes.
1.5.1.2 TGFβ Receptor Signaling
TGFβ signals transduce through heteromeric complexes of type I (65-70kDa) and type II
(85-110) serine/threonine kinase receptors (Figure 1.8C). These receptors are characterized by a cysteine-rich extracellular domain, a hydrophobic transmembrane domain and a C-terminal serine/threonine kinase domain. Functions of larger type III
(300kDa) receptors such as betaglycan and endoglin remain unclear but are not essential to the biological activities of TGFβ, instead they facilitates TGFβ interactions with the receptor signaling complex 131. It has been suggested that TGFβ receptors (TβR) are pre-formed even before binding to TGFβ ligand 132. The subsequent binding of the ligand causes a re-orientation rotation between the receptor chains, followed by simultaneous kinase activity. This may facilitate TGFβ signal transduction as a whole but its real purpose is not clear. However, this mechanism of receptor activation is also found in erythropoietin signaling pathways 133.
There are 11 different type I and six different type II receptors identified that bind to their respective ligands with different affinity. For example, TβRII has a higher affinity
44
of TβRII for TGFβ1 and TGFβ3 134,135. All type I (TβRI) and type II (TβRII) receptors have
similar structures and exist as homodimers in the absence of ligand. Upon binding to
TGFβ, TβRII recruits and phosphorylates serine and threonine residues in TβRI forming
an active heterotetrameric complex 136. This activated complex in turn initiates the
activation of downstream effectors, the Smad proteins (Figure 1.9).
1.5.1.3 Smad Effector Signaling
Smads are major TGFβ classical signaling transducers, mediating signals from the cell surface receptor to target genes in the nucleus (Figure 1.9). Smads are small molecular weight (42-60kDa) effectors. To date, there are a total of nine Smads that have been
characterized and divided into three groups based on their function. Receptor-activated
Smads (RSmads) that includes Smad 1-3, 5 and 8 make up the receptor-regulated Smad family and all consist of a conserved C-terminal SSXS motif. The other two groups are the common-partner Smad (co-Smad) that comprises Smad 4 and the inhibitory Smads,
6 and 7 137. All Smad proteins consist of two sequence homologies; Mad homology 1
(MH-1) at N-terminus and MH2 at C-terminus. Activation of the TGFβ receptor
heterotetrameric complex binds to RSmads 2/3 and phosphorylates amino acids SSXS
located at the C-terminus of RSmads which leads to a conformational change. Common
Smad 4 and inhibitory Smads 6 and 7 lack this SSXS motif. The phosphorylated RSmads
then dissociate from the receptor complex and form a heteromeric complex with co-
45
NOTE: This figure is included on page 46 of the print copy of the thesis held in the University of Adelaide Library.
Adapted from Derynck et al, 2003 138
46
Figure 1.9
Representation of TGFβ receptor and Smad signaling. At the cell membrane, TGFβ ligand binds to TβRII which then recruits and phosphorylates (P) serine and threonine residues in TβRI, forming an active heterotetrameric complex. The active heterotetrameric type I receptor consequently phosphorylate RSmads (Smad 2/3) which then associate with common Smad 4 and translocate into the nucleus where target gene transcription are regulated through additional interaction with DNA binding co-factors and other transcriptional factors. Phosphorylation of RSmads can be inhibited by Smads
6/7. X, DNA binding co-factor.
47
Smad (Smad 4) which then translocates into the nucleus and either directly or indirectly
associates with other transcriptional factors and binds DNA to induce target gene
expression 139. Rsmads 1, 5 and 8 also mediate signaling but more specifically further downstream of BMPs and their receptors.
Smad activities are also tightly regulated to serve as a layer of control for the signaling of TGFβ. It has been reported before that oncogenic Ras can inhibit the formation of
TGFβ induced Smad 2/3 complex as well as Smad 4 expression, therefore preventing nuclear translocation and accumulation to initiate gene expression 140. The stopping of
nuclear translocation can also be achieved by other proteins such as epidermal growth
factors (EGFs) which phosphorylates Smad linker regions to prevent nuclear
translocation. Smad can also be targeted by Smurf 1 (Smad uibiqutination regulatory
factor) which is an E3 ubiquitin ligase that recognizes and binds Smad 1 and Smad 5
(Zhu et al, 1999). Upon binding, Smurf 1 mediates the ubiquitination and subsequent
degradation of Smads which effectively arrests TGFβ signaling through the Smad
pathway.
1.5.1.4 TGFβs regulation in wound healing
TGFβ can also be regulated by TGFβ binding proteins such as the proteoglycan family
which includes decorin and fibromodulin that are also involved in wound healing by
48
regulating collagen formation and tensile strength 141,142. These small, leucine-rich
proteoglycans are components of the extracellular matrix which consist of a LRR motif
central protein core covalently linked to glycosaminoglycan side chains 143. These molecules belong to a distinctive protein class of the LRR superfamily 144. Decorin itself
interacts with TGFβ directly to modulate its activity 145 and a study 146 has substantiated
the fact reporting that decorin knockout cells have diminished TGFβ responsiveness.
Fibromodulin, another proteoglycan, also interacts with TGFβ to affect its activity. This
is of more relevance in wound healing because fibromodulin may potentially determine
the outcome of adult scarring by regulating TGFβ activity 142. Many members of the
proteoglycan family such as decorin, fibromodulin, biglycan and asporin directly
interact with TGFβ 147,148 via the LRR motifs 149. Therefore, it is likely that other proteins which contain LRR motifs are also able to bind to TGFβs.
The rate of TGFβ activation is also a major contributing factor to wound healing. As
previously discussed, proteases work to cleave off LAP to release mature TGFβ.
However, proteases do not work at the same efficiency. For example, matrix
metalloproteinase 2 and 9, are cell surface proteases which activates TGFβ and promote
tumor invasion and they work with different efficiency in activating TGFβ1, TGFβ2 and
TGFβ3 150. As a result, TGFβ1, TGFβ2 and TGFβ3 can be sequentially regulated at
different wound healing phases to affect the outcome of the wound. Furthermore, TGFβ
49
can be differentiated into two groups during blood clotting; the larger latent TGFβ complex (including LTBP, LAP and TGFβ) is released into the serum while the smaller latent TGFβ complex (LAP and TGFβ only) in the clot is activated gradually by proteases as the clot dissolves away 151. Therefore, this gradual release of TGFβ may be a means of maintaining TGFβ activity throughout the wound healing process.
1.6 Mitogen-activated Protein Kinase
1.6.1 The MAPK Signaling Pathways
The MAPK pathway is another common signaling pathway governing multiple cellular processes. The MAPKs are highly conserved protein enzymes responsible for the intracellular signaling cascades that transduce cell-surface receptor signals to the nucleus to induce target gene expression. The MAPK signaling pathways control many cellular processes such as cellular survival, proliferation, migration and adhesion which are also crucial during the wound repair process 152-154. Cell surface signals are transduced through the MAPK pathway through a three-tiered phosphorylation cascade, consisting of first tier MAPKK kinase, second tier MAPK kinase and the third tier MAPK 155. The main components of MAPK signaling cascades are shown in Figure
1.10. Given the complexity of the MAPK signaling cascade and to ensure specificity and maximize efficiency in order to prevent undesired activation of genes. Cells have to
50
NOTE: This figure is included on page 51 of the print copy of the thesis held in the University of Adelaide Library.
Adapted from Zhang et al, 2002 153
51
developed a mechanism known as protein scaffolding to regulate the MAPK pathway
156. The main function of protein scaffolds are to assemble multiple components of a particular MAPK signaling cascade such that it brings them to close proximity to operate efficiently. Protein scaffolds can also localize specific signaling molecules to a specific site in a cell and coordinate feedback signals to modify the MAPK cascade 157.
Additionally, protein scaffolds also protect activated signaling molecules from inactivation by other proteins 157. Using this method, cells are able to efficiently facilitate signal propagation from the cell membrane into the nucleus to induce target gene expression.
There are 5 distinctly regulated groups of MAPKs identified in mammals. These are the extracellular signal related kinase (MEK/ERK1/2), cJun N-terminal kinase (JNK), p38 proteins, ERK 3 and ERK 5 156, which are activated by their respective MAPKKs. For instance, MEK1/2 activates ERK1/2, MKK3/6 activates p38, JNKK1/2 activates JNKs and
MEK5 activates ERK5 158. More importantly, each second tier MAPKK can be activated by more than one first tier MAPKKK which greatly increases the complexity and dynamics of the MAPK signaling pathway 158.
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1.6.1.1 ERK Pathway
The Raf/MEK/ERK cascade (reviewed in 156) is the most characterized pathway of the
MAPK signaling pathway which is mainly activated by protein tyrosine kinases such as
the epidermal growth factor (EGF) receptor and the vascular endothelial
growth factor (VEGF) receptor 159. Ligand bound receptors undergo a conformational change that induces phosphorylation. Src homology 2 domain-containing proteins such as Brg-2 are then recruited to the membrane receptors and interact with the phosphotyrosine residues. Brg-2 becomes activated when recruited to the membrane and in turn activates Ras GTPase which will then hydrolyze guanosine triphosphate
(GTP) to guanosine diphosphate (GDP). GTP bound Ras consequently results in the activation of downstream effector proteins. The activation of Ras is regulated by two classes of proteins known as the GTPase activating proteins (GAPs) and guanine nucleotide exchange factors (GEFs) 160. GAPs reduce the availability of GTP-bound Ras by enhancing GTPase activity in Ras which increases the rate of GTP hydrolysis.
Conversely, GEFs facilitate the exchange of GDP for GTP therefore increasing the
numbers of GTP bound Ras. GTP bound Ras complex recruits and activates Raf at the
cell membrane which results in Raf catalyzing the phosphorylation of MEK1/2 which
subsequently activates ERK1/2 where they either continue activating downstream
targets or translocate into the nucleus to phosphorylate transcription factors 161.
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1.6.1.2 p38Pathway
The mammalian p38 kinase consist of four members, p38α, p38β, p38γ and p38δ 162.
These p38 kinases can be activated by a range of extracellular stimuli such as UV
irradiation and cellular stress or by hormones and inflammatory cytokines. p38 kinases
are activated by MEK3 and MEK6 by phosphorylation. Once phosphorylated, p38 then
activates MAPK interacting kinases (Mnk1 and Mnk2).
1.6.1.3 JNK/SAPK Pathway
The cJun N-terminal kinase (JNK) family consist of three members, JNK1, JNK2 and
JNK3 161. JNK is activated by cytokines, growth factors or cellular stress. Upon
activation, JNK is phosphorylated by MEK4 or MEK7 and translocates into the cell
nucleus and further activates transcription factors including cJun, ATF2, STAT3 and
HSF1 161. Transactivated cJun results in increased expression of genes which promoters
consist of AP-1 sites such as TGFβ 153.
1.6.1.4 Phosphoinositide 3-kinase Signaling pathway
Phosphoinositide 3-kinase (PI3K) pathway (Figure 1.11) is another major signaling
pathway with many key regulatory roles in cellular processes including cellular
survival, proliferation and differentiation 163. PI3K/Akt is known to be involved in various TGFβ regulated processes including apoptosis and cell cycle arrest 164,165.
54
Ligand
Receptor Tyrosine Kinase
Ras PI3K LY294002
PIP2 PIP3
PTEN Akt
Response e.g cell proliferation
Figure 1.11
PI3K/Akt signaling pathway. Dotted lines represent activation of PI3K pathway via a
MAPK signaling protein Ras. Red lettering represent PI3K inhibitor.
55
PI3K are targets of receptor tyrosine kinases and G-protein coupled receptors as well as
Ras proteins. Integrins are also known to be able to activate the PI3K signaling pathway
166. Activated PI3K converts phosphatidylinositol-4-5-bisphosphate (PIP2) to phosphatidylinositol-3-4-5-triphosphate (PIP3) which subsequently activates Akt, a
serine threonine protein kinase 167. Regulation of the PI3K/Akt signaling pathway is
mediated by the tumour suppressor protein PTEN (protein phosphatase) which
dephosphorylate the 3' end of PIP3 and block Akt activation 167. It is also known that
Smad 3 is involved in TGFβ signal transduction and is a target of inhibition by
PI3K/Akt signaling cascade, which suggests the presence of cross-talks between the
signaling pathways.
1.7 Integration of MAPK and PI3k/Akt with TGFβ Signaling
Pathways
In any cellular signaling networks, cross-talk between related or different signaling
networks always exist as regulatory controls to achieve efficiency in cellular physiology.
As Ras signals through the MAPK pathway, the effects of TGFβ are mediated through
the Smad proteins. One convergence between these two signaling pathways is the
activation of p53 168. The Ras/MAPK cascade lies downstream of TGFβ receptor tyrosine
kinase (RTK) signaling. The activation of the RTK/Ras/MAPK signaling pathway
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phosphorylates p53 which in turn interacts with TGFβ-activated Smads to target gene
expression. Studies have shown that ERK or JNK activation by RTKs can phosphorylate
Smad 3 at Thr 178, Ser 203 and Ser 207 protein residues in the linker region of Smad 3.
In addition, MAPKs can also regulate Smad 4 and Smad 7 by direct phosphorylation
140,169. In fact, ERK, JNK as well as p38 are all involved in the regulation of Smad 7170,171.
These findings indicated that TGFβ signaling pathway can be indirectly affected
through signaling cross-talk. On the other hand, PI3K/Akt signaling pathway can also
affect TGFβ signaling though its modulation of Smad 3. However, the regulation of
Smad 3 by the PI3K/Akt signaling pathway still remains unclear as it can either
potentiate or inhibit TGFβ responses172,173. It must be noted that TGFβ can also regulate
PI3K/Akt signaling, as evident by the increase in Akt activity in response to TGFβ 174.
1.8 RESEARCH AIM AND RATIONALE
Wound healing is undoubtedly complex with numerous molecular pathways affected
by a range of different factors. Multiple cross-talks exists within the molecular signaling pathways that are yet to be completely understood. This may contribute to the extensive control mechanism of the wound healing process hence providing a specific and effective approach in the regulation of wound healing. Whether or not all the different pathways converge together at some point remains to be elucidated.
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Undisputedly, actin cytoskeletal proteins play a fundamental role during wound
healing, without which a lack of cell movement would lead to no wound healing. As a
result, it is very important that the actin cytoskeleton is regulated and this is
fundamentally achieved by the gelsolin family of actin remodeling proteins. In this
thesis, we describe two interconnected pathways affecting the cytoskeleton and wound
healing; first is the gelsolin androgen linked mediated pathway and second is the Flii
linked TGFβ signaling pathway. The underlining common denominator between these
pathways is the gelsolin family of actin remodeling proteins. This is highlighted by
recent findings on the role of gelsolin as a novel transcription regulator in AR-mediated wound healing. The implications of Flii in affecting TGFβ expression significantly expands the boundaries of potential roles for both gelsolin and Flii not just in the modulation of actin dynamics but also other biological roles.
In the first part of the thesis, we explored the relationship of gelsolin and the androgen receptor (AR) in androgen mediated wound healing. At present, steroid hormone mediated wound healing has been investigated and differences in wound repair has been observed. It is now known that hormone receptors can act as transcription factors which require co-regulators to activate target genes. This led to the identification of several co-regulators which includes gelsolin amongst other family members. Since gelsolin also plays important roles in wound healing, we hypothesize that gelsolin may
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have a role in androgen mediated wound repair. The aim of this part of the thesis was
therefore to determine if gelsolin plays a part in androgen-mediated wound repair.
This thesis forms two main parts. The first section investigates the role of gelsolin in androgen mediated wound repair. Due to the inconclusive results obtained in part one of the thesis, the major focus of the thesis became the functional role of Flii in mediating
TGFβ gene expression and activity which forms the second part of the thesis.
TGFβ is a major cytokine during wound healing which functions to attract immune cells to prevent infection while also inducing gene expression. Flii, on the other hand, is a negative regulator of wound repair. Manipulation of Flii was observed to coincide with changes in TGFβ expression levels. As a result, our hypothesis was that Flii may be an important regulator of TGFβ expression. Therefore, in this part of the thesis, we aim to determine if Flii association with cell signaling molecules provide a potential mechanism for modulating TGFβ gene transcription and signaling.
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CHAPTER TWO
Role of gelsolin in androgen mediated wound healing
2.1 Introduction
2.1.1 Implications for the gelsolin superfamily in nuclear receptor
signaling
The expression of AR target genes inevitably requires the recruitment and interaction of
nuclear co-activators which cooperate together as a complex to initiate expression. The
identification of AR co-activators have revealed many different protein classes
including, β-catenin, breast cancer gene BRCA-1, cyclin E and more importantly, members of the gelsolin family 175. It was first reported in 2001 that supervillin from the
gelsolin family of ABP associates with the AR to enhance its transactivational activity
176,177. Since then, more members of the gelsolin family have been identified to be
involved in nuclear receptor signaling. Flii was also recently identified as a coactivator
in estrogen and thyroid hormone receptor transcription 105. More importantly, Gelsolin itself is identified to be a co-regulator for the AR 81. These findings implicate members of
the gelsolin family in the co-regulation of hormone nuclear receptor signaling. As a
result, there is a possible link for gelsolin in androgen mediated nuclear receptor
60
signaling during wound healing, given the relationship between gelsolin and AR in
which androgens also play an important part during the wound healing process.
2.1.2 Gelsolin and AR Nuclear Signaling
Looking more closely at the connection between AR and gelsolin, it has been previously
reported that gelsolin enhances the transcriptional activity of AR in the presence of an
agonist, either androgens or hydroxyflutamide 81. The evidence indicated that gelsolin
facilitates the nuclear translocation efficiency of AR during signaling which enhances
AR activity. Further investigation revealed two regions within AR in which gelsolin
interacts in the presence of a ligand; a central DNA binding domain and a ligand
binding domain in the COOH-terminal domain 81. Additionally, most AR co-regulators
have FXXMF or FXXFF peptide motifs which are present not just in gelsolin but also in
members of the gelsolin family including Flii, supervillin and advillin 178. This result
further implicates the involvement of the gelsolin family in nuclear receptor function.
Regardless, the enhanced transcriptional activity of AR is highly dependent on two factors, exposure to AR ligand and the co-expression of gelsolin. In fact, gelsolin has been demonstrated to colocalize with AR during nuclear translocation in the presence of ligand but had no effect if AR was absent 81. In other words, gelsolin remained in the
cytoplasm if AR expression is abrogated even in the presence of ligands. The gelsolin
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behavior is expected and predictable quite simply because gelsolin lacks a nuclear
translocation signal. Therefore, it is only possible for gelsolin to co-translocate into the
nucleus while binding to other proteins which most likely in this case is AR. These findings suggest whilst the role of gelsolin in AR mediated gene expression may be to facilitate nuclear translocation, possibly through it's actin binding capabilities, its role in androgen mediated wound healing remains unknown.
Considering that Gelsolin plays an important role in cellular migration and androgens have an important role in the wound healing process, we sought to determine if gelsolin may be an important link between AR and androgen mediated wound healing.
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2.2 Materials and Methods
2.2.1 Cells, Cell Culture
Human Foreskin Fibroblasts (HFFs) were cultured in Dulbecco’s modified Eagle’s
Medium (DMEM) supplemented with 10% fetal calf serum (FCS) and antibiotics (100U
penicillin and 100ug/500ml streptomycin). Cell cultures were incubated at 37°C and 5%
CO2. Cells were serum starved in DMEM containing antibiotics for at least 3 hours or
otherwise stated prior to experimenting.
2.2.2 Scratch Assay
Cells were seeded onto sterile glass coverslips at a density of 2 x 105 cells/well, in a 6
well tissue culture plate and cultured until confluence. Cells were serum starved for 3
hours which were then linearly scratched multiple times using a P200 yellow pipette tip
producing approximately 20mm x 3mm wounds before treatment reagents were added.
Protein samples were obtained at time-points 0, 1, 3, 5, 10 and 24 hours after initial
wounding and analyzed. For immunocytochemical staining, samples grown on sterile
coverslips were fixed in ice-cold acetone for 10 seconds and placed in 1x PBS and stored
at 4°C.
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2.2.3 Protein Extraction
For monolayer cell cultures, the cells were washed twice with ice-cold 1x PBS before
5ml of ice-cold 1x PBS was added and a cell scraper was used to gently lift the cells off.
The cell suspension was then centrifuged at 1000rpm for 5mins at 4°C and the supernatant discarded. 500µl of lysis buffer (50mM Tris pH 7.5, 1mM EDTA, 50mM
NaCl, 0.5% Triton-X100, protease inhibitor cocktail tablet (1 per 10ml - Complete Mini
(Roche, NSW, Australia) was then added to resuspend the cell pellet by pipetting up and down several times before incubating at 4°C for 30mins. The samples were then centrifuged at 14,000g at 4°C for 30mins and supernatant collected.
Bicinchoninic Acid (BCA) Quantification Kit (Pierce, Cat# 23227, Illinois, USA) was used as instructed by the manufacturer to quantify protein concentrations. Standards of
Bovine Serum Albumin (BSA) concentration from 20µg/ml to 2000µg/ml were prepared to obtain a standard curve against which the protein samples were quantified. Working reagent was made in the ratio of 50:1 solution A to solution B respectively. Both standards and protein samples were then transferred to 96-well microtitre plate at a volume of 10µl per well in duplicates which working reagent was then added. The samples were then incubated at 37°C for 30mins and absorbance measured at a wavelength of 570nm in a microplate reader.
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2.2.4 Western Blotting
Protein samples were equalized by dilution with lysis buffer and loading buffer added before heating at 95°C. Protein fractions were then electrophoresed on a 10% separating
(3.35ml 30% Acrylamide-Bis Solution (37.5:1, 2.6% C, BioRad Laboratories, CA, USA),
1.25ml 3M Tris pH 8.9, 5.25ml distilled water, 125ul 10% SDS, 100ul Ammonium
Persulfate (APS) and 6.25ul TEMED (N,N,N’,N’ – Tetramethylethylene-diamine, Sigma
Aldrich, Sydney, Australia)) and 4% stacking (0.5ml 30% Acrylamide, 0.276ml 0.5M Tris pH 6.8, 4.104ml distilled water, 50µl 10% SDS, 40ul 10 % APS and 4µl TEMED) SDS-
PAGE gels at 100V for 90 mins and then transferred onto 0.2µm pore nitrocellulose membrane (Advantec MFS Inc, CA, USA) by wet transfer (Bio-Rad Laboratories,
Regents Park, NSW, Australia) using standard wet transfer - Towbin’s buffer (25mM
Tris, 192mM Glycine, 20% Methanol and 0.05% SDS) at 100V for 1 hour. Membranes were stained in Ponceau Red Staining Solution (Sigma Aldrich, Sydney, Australia) for 5 minutes to ensure equal protein loading and was later destained in distilled water and washed in PBS Tween (0.3% Tween/1x PBS).
Membranes were blocked in 5% milk blocking buffer (5% skimmed milk powder and
0.3% Tween-20 diluted in 1x PBS) for 1 hour and primary antibodies diluted in blocking buffer added to the membrane and incubated overnight at 4°C. Stringent washes with blocking buffer were performed every 15 minutes for an hour before appropriate
65
secondary antibodies conjugated with horse radish peroxidise (HRP) was added for 1
hour at room temperature. Washes were then performed before signal detection using
Super Signal West Femto Maximum Sensitivity Substrate (Pierce Biotechnology,
Rockford, USA) and signal capture using GeneSnap analysis program (Syngene,
Maryland, USA). Membranes were stripped and re-probed with β-tubulin as a loading control (Sigma Aldrich, Sydney, Australia).
2.2.5 Immunocytochemistry
Sterile glass coverslips were placed in six well culture plates and cells were seeded at a
5 density of 3 x 10 cells per well and cultured in an incubator at 37°C with 5% CO2. Cells
were serum starved for 3 hours before adding treatments and incubating for a further
30 minutes. This was followed by fixing cells with cold acetone for 10 seconds and
placed back into 1x PBS containing six well plates. Washes were performed after every
treatments using 1x PBS. 3% Normal Horse Serum (NHS) diluted in 1x PBS were used
to block cells for 30 minutes at room temperature before incubating with mouse anti-AR
antibodies overnight at 4°C(Refer to Table 2.1). Secondary anti-rabbit Alexa Fluor 488
were added for 1 hr in the dark at room temperature (Refer to Table 2.1). This was then
followed by incubating with mouse anti-gelsolin antibodies for 1 hr at room
temperature. The respective biotinylated secondary antibodies were added and
coverslips incubated for 1 hr in the dark at room temperature. After this, streptavidin
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Concentration used Antibody Manufacturer Catalog # Raised in Western Immunostaining
Androgen Receptor Santa Cruz sc815 Rabbit 1µg/ml 2µg/ml
Gelsolin BD Biosciences 610412 Mouse 1µg/ml 2µg/ml
β-Tubulin Sigma T4026 Mouse 0.01µg/ml N/A
HRP-conjugated DAKO P0448 Goat N/A 2µg/ml 2° Anti-Rabbit IgG HRP-conjugated DAKO P0447 Goat N/A 2µg/ml 2° Anti-mouse IgG 2° Anti-rabbit Invitrogen A11008 Goat N/A 2µg/ml Alexa Fluor 488 Biotinylated Vector BA2000 Horse N/A 2µg/ml 2° Anti-mouse IgG Laboratories Strepdavidin Invitrogen S32355 N/A N/A 2µg/ml Alexa Fluor 555
Table 2.1
Information of antibodies used in western analyses and immunofluorescent staining.
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conjugated Alexa Fluor 555 was added for 1 hr in the dark at room temperature. DAPI
was added to the cells before a final wash and then mounted onto a microscope slide
using DAKO Fluorescent Mounting Medium (DAKO, Botany, Australia). Slides were stored in the dark at - 20°C. Integrated fluorescence intensity was determined using
AnalySIS software (Soft-Imaging System GmbH, Munster, Germany). Negative controls
were included to demonstrate antibody staining specificity. Control samples undergo
the exact staining procedure omitting either the primary or the secondary antibody. All
control samples had negligible immunofluorescence.
2.2.6 siRNA knockdown Assay
HFFs were seeded into 6 well tissue culture plates and cultured overnight to achieve
30% to 50% confluence at time of transfection. Small interfering RNA (siRNA) for
gelsolin (M-007775-01, Dharmacon, CO, USA) and negative control siRNA (Cat#4611,
Ambion, TX, USA) were used to knockdown gelsolin expression levels in HFFs. siRNA
were transfected into the cells using Lipofectamine 2000 (Invitrogen, Carlsbad, USA).
Both siRNA and Lipofectamine 2000 were diluted in Opti-MEM I Reduced Serum
Medium (Invitrogen, Carlsbad, USA). 250µl of siRNA (optimized to 100nM per well)
was mixed with 4µg of Lipofectamine 2000 diluted in 250µl Opti-MEM and were
allowed to complex at room temperature for 20 minutes. 500µl of siRNA:Lipofectamine
2000 complex was then added to each well, mixed and cells incubated for 6 hours before
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replacing transfection media with DMEM containing 10% FCS only. Cells were incubated for 24-48 hours prior to gene knockdown assessment by real-time quantitative PCR and western blot analysis.
2.2.7 RNA Extraction
RNA extraction from cell cultures only required scraping cells from culture flasks after adding Trizol Reagent (Invitrogen, Victoria, Australia). Samples were transferred into fresh eppendorf tubes and centrifuged at 12,000g at 4°C for 10mins to remove cell debris. The samples were incubated for 5mins at room temperature before adding 200µl of chloroform to each tube and were mixed thoroughly by hand for 15secs. The samples were kept at room temperature for 3mins and centrifuged at 12,000g for 15mins at 4°C.
The aqueous phase containing RNA was transferred into a fresh tube and 500µl of isopropanol added to precipitate the RNA. The samples were then incubated at room temperature for 10mins before centrifuging at 12,000g for 10mins at 4°C. The supernatant was discarded and the residual pellet washed with 1ml of 75% ethanol.
Finally, samples were centrifuged at 7500g for 5mins at 4°C and supernatant discarded.
The pellet was dried and re-dissolved in 50µl DEPC water.
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2.2.8 DNase Treatment and RNA Quantitation
RNA samples were subjected to DNA-free DNase Treatment and Removal Kit
(Ambion, TX, USA) as instructed by the manufacturer to remove any contaminating
genomic DNA. Firstly, RNA samples were treated with 0.1 volume of 10x DNase Buffer and 1µl of DNase I and incubated at 37°C for 30mins. Following this, 0.1 volume of
DNAse Inactivating Reagent was added to the samples and incubated at 2mins at room temperature with occasional mixing. The samples were then centrifuged at 10,000g for
90secs and supernatant transferred to fresh tubes. RNA was quantitated by diluting 1 in
20 with RNase free water and 100µl duplicates were quantified using a Pharmacia
Biotech GeneQuant RNA/DNA Calculator using RNase-free water as a blank.
Absorbance at 260nm and 280nm were measured that quantify RNA absorbance as
µg/µl concentration. Purity of RNA was confirmed by the A260/A280 ratio and a value
between 1.7 to 2.0 indicates good RNA quality.
2.2.9 Complementary Deoxyribonucleic Acid (cDNA) Synthesis
cDNA was synthesized from RNA using reverse transcription. Each reaction contains
1µg of RNA with 4µl 2.5µM dNTPs (dATP, dCTP, dGTP and dTTP, 100mM each,
Promega, WI, USA) and 2µl Oligo(dt)12-18 Primer (25µg at 0.5µg/µl, Invitrogen, Victoria,
Australia). This was heated at 85°C for 3mins and placed in ice immediately. 2µl 10x
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Stratascript Buffer (Stratagene, Epson, UK), 1µl RNasin (Promega, WI, USA) and 1µl
Stratascript Reverse Transcriptase (Stratagene, Epson, UK) were added to the mixture
and heated at 42°C for 60mins followed by 92°C for 10mins before cooling it down on
ice. A control sample was prepared with the reagents above with the exclusion of
reverse transcriptase for use in the Real-Time quantitative-Polymerase Chain Reaction
(RTq-PCR) as a negative control.
2.2.10 Real-Time quantitative-Polymerase Chain Reaction (RTq-PCR)
Each PCR reaction tube containing cDNA was set up to a final concentration of 1x SYBR
Green, 1x Amplitag PCR buffer, 3mM MgCl2, 5mM dNTPs, 0.9µM primers (forward
and reverse), 1.25 Units of AmpliTag Gold DNA polymerase in 25µl of H2O. The primer
sequences were generated in Genbank and were as follows; Gelsolin (forward) 5’ CAG
ACA GCC CCT GCC AGC ACC C 3’ and (reverse) 5’-GAG TTC AGT GCA CCA GCC
TTA GGC-3’. Cyclophillin A (forward) 5’-GGT TGG ATG GCA AGC ATG TG-3’ and
(reverse) 5’-TGC TGG TCT TGC CAT TCC TG-3’.
2.2.11 Proliferation Assay
WST-1 proliferation reagent (Cayman Chemical, WI, USA) was used to assess the rate of
proliferation of HFFs and primary cell cultures. This is a tetrazolium salt based reagent
71
that converts to soluble formazan by dividing cells therefore directly correlates to
cellular metabolic activity and their proliferation rate. Cells were seeded into 96-well
microtitre plates at a density of 105 cells per well in 100µl of 10%FCS DMEM with antibiotics. Cells were then incubated at 37°C CO2 incubator overnight and serum
starved for 3 hours the following day. Cells were then treated with a range of
treatments and incubated for 48 hours or otherwise stated and assayed by adding 10µl
of WST-1 reagent and mixed thoroughly for 1 min on an orbital shaker. The cells were
then incubated at 37°C for 1 hour as per manufacturer’s protocol before measuring dual
absorbance at 450nm and 600nm on a Tecan microplate reader.
2.2.12 Wound Closure Assay
Cells were seeded into 6 well culture plates and cultured until confluent. Cells were
serum starved for 3 hours prior to wounding and addition of treatments. Using a P200
pipette tip, a circular wound was created. Photographs were taken at time-points 0, 24,
36, 48, 60, 72 and 84 hours after initial wounding. Rate of wound closure was
determined, which is defined by the residual area and expressed as a percentage of the
initial wound size.
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2.2.13 Statistical Analysis
All statistical differences were determined using the Student’s t-test or ANOVA. P value of less than 0.05 was considered significant.
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2.3 Results
2.3.1 Gelsolin and AR responses to wounding in vitro
To determine if gelsolin and AR were affected by wounding, HFFs were subjected to an
in vitro scratch wound assay. Figure 2.1 shows protein extracted at 0, 1, 3, 5, 10 and 24
hours post-wounding and analyzed using western analysis. Both gelsolin and AR
protein expression were increased in response to wounding and had a similar temporal
expression pattern during the 24 hour time-course, albeit a difference in expression peak times (Figure 2.1). Gelsolin expression increased and peaked at 3 hours post- wounding before declining back to basal levels after 24 hours. Similarly, AR expression also increased in response to wounding but AR expression had a lag period before increasing at 3 hours and peaked at 5 hours post-wounding before declining back to baseline levels.
The expression pattern and localization of gelsolin and AR were compared. Cellular localization of gelsolin and AR was determined using immunofluorescence staining
(Figure 2.2). Here, it is shown that AR expression increases in response to wounding.
This is reflected by the increased staining intensity at and after 3 hours post-wounding
(Figure 2.2D, G, J, M) compared to time 0 (Figure 2.2A). During the 24 hour wounding
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A IB: 0 1 3 5 10 24 B IB: 0 1 3 5 10 24 Gelsolin AR 88 kDa 110 kDa
β-tubulin β-tubulin 55 55 kDa 55 kDa
C D
300 230 * 210 * 250 190 * * 170 * 200 * * * 150 130 150 110 Percentage Change Percentage Change Percentage 100 90 70 50 50 0 1 3 5 10 24 0 1 3 5 10 24 Hours Hours
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Figure 2.1
Western analyses of gelsolin and AR expression in time-course wounding in HFFs.
(A,C) SDS-PAGE. Confluent HFF monolayers were scratched multiple times and total lysate collected at 0, 1, 3, 5, 10 and 24 hours post-wounding and immunoblotted with anti-gelsolin and anti-AR antibodies, giving full length 88 kDa gelsolin and 110 kDa AR protein band respectively. β-tubulin was used as a loading control. Both gelsolin and
AR expression were increased in response to wounding. (B,D) Quantitation of gelsolin and AR protein bands normalized to β-tubulin band and expressed as a percentage to unwounded control (0 hour). Gelsolin expression peaked at 3 hour post-wounding compared to AR which peaked at 5 hour post-wounding before declining back to basal after 24 hours. n = 4, *p < 0.05 compared to time at 0 hours.
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time-course, AR expression peaked at 5 hours after wounding before gradually
decreasing at 10 and 24 hours post-wounding. AR staining was also detected in the
cytoplasm and nucleus of both unwounded and wounded HFFs (Figure 2.2A, D, G, J,
M). Gelsolin expression also increased in response to wounding. Upon wounding at
time 0 hour, gelsolin expression was low (Figure 2.2B). The highest gelsolin expression
was observed at 3 hours post-wounding (Figure 2.2E) before decreasing at 5, 10 and 24
hours (Figure 2.2 H, K, N) after wounding. Gelsolin expression was detected in the
cytoplasm and nucleus of both unwounded and wounded HFFs.
Co-localization between AR and gelsolin was also investigated by merging identical
field of view images of AR and gelsolin staining to create composite images (Figure
2.2C, F, I, L, O). Cytoplasmic and nuclear co-localizations are represented by arrowheads and arrows in the merged images respectively. Co-localization of AR and gelsolin were observed throughout the wound repair time-course. Strong co- localization of AR and gelsolin were observed at and after 3 hours post-wounding
(Figure 2.2F, I, L, O). Although cytoplasmic co-localization was observed, the majority
of co-localization was in the nucleus and the nuclear periplasmic region (arrows).
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AR Gelsolin Merge w B w C w A
0 Hour
D w E w F w
3 Hours
G w H w I w
5 Hours
J w K w L w
10 Hours
M N O
24 Hours w w w
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Figure 2.2
HFFs cultured on sterile glass coverslips were wounded and fixed in cold acetone at 0,
3, 5, 10 and 24 hours post- wounding. Wound (w) is defined by the dotted lines Red
represents AR staining (A, D, G, J, M), green represents gelsolin staining (B, E, H, K, N)
and blue represents nuclear staining. Merge images are composite images of AR and
gelsolin staining (C, F, I, L, O). Cytoplasmic co-localizations (arrow heads) and nuclear co-localizations (arrows) are represented by areas of yellow color staining. n = 6, w = wound. Scale bar = 100µm in (O).
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2.3.2 Effects of DHT addition in gelsolin and AR localization
To study the effects of adding the active metabolite DHT on AR and gelsolin expression
in HFFs, immunofluorescent staining was used. DHT is the more active metabolite of
the hormone testosterone and is a ligand to the AR. A physiological concentration of 10-
8M DHT was added to HFFs for a period of 24 hours before immunostaining with anti-
gelsolin and anti-AR antibodies. In the absence of DHT, AR and gelsolin expression was
relatively subdued and localized predominantly to the cytoplasm (Figure 2.3A, B). Little
AR and gelsolin staining was observed in the cell nucleus. Co-localization of AR and
gelsolin was investigated in untreated cells. In the absence of DHT, AR and gelsolin
were predominantly co-localized to the nuclear peripheral region (arrowhead) in the
cytoplasm (Figure 2.3C). Addition of DHT on the other hand resulted in significantly
higher staining intensities for AR and gelsolin (Figure 2.3D, E). The increased
expression of AR and gelsolin were predominantly localized to the nuclear periplasmic
region in the cytoplasm, in addition to the cell nucleus, indicating partial translocation
of both proteins into the cell nucleus. Interestingly, AR and gelsolin co-localization were
observed in the cell nucleus (arrows) in addition to the nuclear peripheral region seen
for the untreated cells (Figure 2.3F).
To investigate the effects of DHT addition on AR and gelsolin expressions, three doses
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AR Gelsolin Merge A B C
Untreated
D E F
+DHT
Gelsolin Fluorescent Intensity in HFFs Treated with AR Fluorescent Intensity in HFFs Treated with DHT G DHT H 200 * 140 * 180 * * * 120 160 140 100 120 80 100 60 80 60 40
Fluorescent Intensity 40 Fluorescent Intensity 20 (% Normalized Control)to 20 (% Normalized to Control) 0 0 Untreated 10-9M 10-8M 10-7M Untreated 10-9M 10-8M 10-7M
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Figure 2.3
Effects of DHT addition on gelsolin and AR expression and localization in HFFs.
Confluent HFFs were serum-starved then treated with 10-8M of DHT in (A-F) and
varying concentrations of DHT as shown respectively in (G,H). Dual
immunofluorescent staining was then performed on HFFs treated with DHT. Red
represents AR staining (A, D), green represents gelsolin staining (B, E), and blue
represents nuclear staining. Merge images are composite images of AR and gelsolin
staining (C, F). Cytoplasmic co-localizations (arrow heads) and nuclear co-localizations
(arrows) are represented by areas of yellow color staining. n = 3 (A-F), n = 6 (G, H).
*p<0.05 compared to untreated control. Scale bar = 20µm in (F).
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of DHT, low (10-9M), physiological (10-8M) and high (10-7M) concentrations were added
to HFFs for a period of 24 hours. The cells were then stained with either AR or gelsolin
antibodies and their fluorescent intensities quantitated. DHT addition slightly increased
gelsolin expression at 10-8M and 10-7M concentrations (Figure 2.3G). DHT at 10-9M
concentration did not significantly affect gelsolin expression as compared to the
untreated cells. On the contrary, DHT significantly increase AR expression in HFFs. All
concentrations of DHT at 10-9M, 10-8M and 10-7M increased AR expression by a
minimum of 50% (Figure 2.3H). No differences were observed between the
concentrations suggesting that AR is highly sensitive to the presence of DHT even in
small amounts.
2.3.3 Time-course localization study of gelsolin and AR in the presence
of DHT.
A time-course localization study of gelsolin and AR was conducted using
immunofluorescent staining. Since nuclear receptor signaling is a rapid response
pathway, it would be expected to show differences in localization of both gelsolin and
AR. The effects of DHT treatment on short-term and long-term localization of gelsolin and AR were investigated. Short-term time-points include 0, 5, 10, 15, 30 and 60 minutes
(Figure 2.4). Long-term time-points include 2, 5, 10, 24, 48 and 72 hours (Figure 2.5).
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AR Gelsolin Merge A B C
0 Min
D E F
5 Mins
G H I
10 Mins
J K L
15 Mins
M N O
30 Mins
P Q R
60 Mins
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Figure 2.4
HFFs cultured on sterile glass coverslips were fixed in cold acetone at 0, 5, 10, 15, 30 and
60 minutes after the addition of 10-8M DHT. Red represents AR staining (A, D, G, J, M,
P), green represents gelsolin staining (B, E, H, K, N, Q) and blue represents nuclear staining. Merge images are composite images of AR and gelsolin stainings (C, F, I, L, O,
R). Cytoplasmic co-localizations (arrow heads) and nuclear co-localizations (arrows) are represented by areas of yellow color staining. n = 6. Scale bar = 100µm in (R).
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At 0 minutes, co-localization between gelsolin and AR was visible but largely localized
in the cytoplasm (Figure 2.4A-C). Nuclear localization of both gelsolin and AR was also
observed. The reason that nuclear staining was seen was due to the time lag which
occurs when DHT was added to the time the image was taken. As a result, the effects of
DHT had already begun by the time the image was taken, therefore explaining the
observation of nuclear staining at time 0. However as time progressed, both gelsolin
and AR translocated into the nucleus gradually, where staining of both proteins was
either concentrated in or around the nucleus. At 5 minutes, co-localization was
observed clearly in the nucleus, represented as pink which becomes increasingly more
defined as time progressed (Figure 2.4D-F). In addition, at 10 minutes post-treatment, staining for AR were beginning to increase significantly, indicating increased expression (Figure 2.4G-I). At 15 to 60 minutes, localization of gelsolin and AR were not significantly different than at 10 minutes except that at 60 minutes, staining for AR was predominantly nuclear where it also co-localized strongly with gelsolin (Figure 2.4J-R).
At longer time-points, gelsolin and AR expression appeared to be increased compared
to time 0 minutes (Figure 2.5A-R). Strong nuclear staining was observed for AR as well
as gelsolin. Gelsolin staining was also distributed throughout the cytoplasm, in addition
to the nucleus. At 5 hours post-treatment, HFFs appeared to be denser compared
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AR Gelsolin Merge A B C
2 Hrs
D E F
5 Hrs
G H I
10 Hrs
J K L
24 Hrs
M N O
48 Hrs
P Q R
72 Hrs
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Figure 2.5
Gelsolin and AR long-term response to the addition of 10-8M DHT. (A-R) HFFs were
treated with 10-8M DHT and fixed in acetone at 2, 5, 10, 24, 48 and 72 hours after
treatment and then stained with respective antibodies to gelsolin and AR. Red
represents AR staining and green represents gelsolin staining. Longer treatment with
DHT did not yield significant differences in gelsolin and AR localization. At 2 hours
post-treatment and beyond, gelsolin staining and AR staining were localized predominantly to the nucleus where they co-localized as shown in the merge column.
No translocation from the nucleus to cytoplasm was observed after an extended period.
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to the earlier timepoints (Figure 2.5D-F). No other significant effects were observed after
5 hours of treatment with DHT. Regardless, in the presence of DHT, AR staining remains to be strongly localized to the nucleus. Gelsolin on the other hand was most strongly localized to the nucleus at 60 minutes post-treatment but was relatively evenly distributed throughout the cell at other time-points.
Using multiple images gathered from immunofluorescence microscopy, the staining intensities of gelsolin and AR at each time-point were quantitated and graphed in
Figure 2.6. As expected, during the early time-points from 0 to 60 minutes, no increase in staining was observed, which indicated that expression of both gelsolin and AR remained relatively constant when treated with DHT in the first 60 minutes (Figure 2.6
A,B). Looking at longer time-points, an increase in staining intensity was observed for gelsolin at and beyond 2 hours, indicating that expression levels were increasing from 2 hours of treatment with DHT (Figure 2.6C). Expression continued to increase the past fifth hour, peaking at 48 hours, where expression levels were approximately 35% higher than at time 0, before leveling off at 72 hours. AR on the other hand also had a similar pattern of increased expression (Figure 2.6D). Expression was significantly higher at 10 hours and continued to increase before leveling off at 72 hours. AR expression was approximately 60% higher than at time 0.
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120 120
100 100
80 80 60 60 40 40
20 20 (%) Intensity AR Staining Gelsolin Staining Intensity (%) 0 0 0 5 10 15 30 60 0 5 10 15 30 60 A B Time (mins) Time (mins)
160 200 * * * 140 * * 180 * 160 * 120 * 140 100 120 80 100 60 80 60 40 40
20 (%) Intensity AR Staining 20
Gelsolin Staining Intensity (%) 0 0 0 2 5 10 24 48 72 0 2 5 10 24 48 72 C D Time (Hours) Time (Hours)
Figure 2.6
Multiple images obtained from immunofluorescence microscopy in figure 2.4 and
figure 2.5 were analyzed. AR and gelsolin staining intensities were quantitated and
results normalized to time 0 hours and expressed as a percentage. (A,B) Short time- course treatment with DHT (0, 5, 10, 15, 30, 60 minutes). (C,D) Long time-course treatment with DHT (0, 2, 5, 10, 24, 48, 72 hours). n = 6 per time-point. *p<0.05 compared to Time 0 hours.
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2.3.4 Gelsolin gene knockdown using silent RNA technology
To determine whether gelsolin plays a role in the androgen mediated wound repair
process, functional analyses by reducing gelsolin expression were done. Silent RNAs or
short interfering RNAs (siRNA) were used to knockdown gelsolin expression levels.
Optimization of the technique was carried out prior to knocking down gelsolin
expression (results not shown). Three different concentrations of gelsolin siRNA, 50nM,
100nM and 150nM were used to show that 50nM was sufficient to significantly
knockdown gelsolin expression by more than 85% (Figure 2.7A). Additional siRNA did
not further decrease gelsolin expression. Therefore 50nM of siRNA were used in all
subsequent gelsolin knockdown experiments. After knockdown, gelsolin expression
remained significantly lower compared to the control (Figure 2.7B). Expression
remained at approximately 18% and 21% at 72 hours and 92 hours post-transfection respectively. To further illustrate gelsolin siRNA specificity, a non-specific scrambled siRNA sequence was used to transfect HFFs and the end result showed no significant differences in gelsolin expression compared to the control (Figure 2.7C). However, it was observed that decreasing gelsolin expression had an effect on AR expression as shown in figure 2.7D. Specifically, AR expression increased when gelsolin expression was reduced.
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120 120 100 100
80 80
60 60
40 40 * * 20 * 20 Gelsolin Expression (%) * * Gelsolin Expression (%) 0 0 A Control 50nM 100nM 150nM B Control 72 Hours 92 Hours
1.2 350 * 300 1 250 0.8 200 0.6 150
Fold Change 0.4 100 AR Expression (%) 0.2 50 0 0
C Control Scrambled siRNA D Control 50nM 100nM
Figure 2.7
Gelsolin expression was knocked down using silencing RNA technology. HFFs were
treated with gelsolin specific siRNA to decrease gelsolin expression. mRNAs were
collected and levels assessed after 48 hours using RT-qPCR. (A) Gelsolin expression levels using 50nM, 100nM and 150nM of siRNA. (B) Gelsolin expression remained suppressed after 92 hours from initial siRNA treatment. Expression level at 92 hours was approximately 20% of control. (C) Using a non-specific, scrambled siRNA sequence, gelsolin expression showed no significant changes. (D) The effects of gelsolin knockdown caused AR expression to increase significantly. n = 3. *p<0.05 compared to control.
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2.3.5 Response to DHT treatment in gelsolin-ablated HFFs
The effects of DHT addition on HFFs proliferation were determined by adding
increasing concentrations of DHT (10-7M, 10-8M and 10-9M) and assessing the effect
using the WST-1 colorimetric assay (Figure 2.8). As expected, DHT increased HFF
proliferation by more than 50% at 10-8M DHT compared to the control (Figure 2.8A). 10-
7M and 10-9M DHT also increased proliferation but by a smaller amount. In gelsolin-
ablated HFFs, proliferation was significantly lower compared to control (Figure 2.8B).
This highlighted the importance of gelsolin in cellular proliferation. However, when
DHT was added to gelsolin knockdown HFFs, proliferation increased to be comparable
to the control. 10-7M DHT treated HFFs remained significantly lower than that of the
control (Figure 2.8M). Although proliferation had risen, DHT did not increase
proliferation as significantly as that of HFFs with normal gelsolin levels.
The DHT effects on HFF migration were also investigated using a wound assay that
measures rate of closure over 0, 24, 36, 48, 60, 72 and 84 hours (Figure 2.9). Addition of
DHT at 10-7M, 10-8M and 10-9M all enhanced wound closure (Figure 2.9A). Gelsolin is an
important actin regulator and plays a significant role in cellular migration. As a result, when gelsolin levels were decreased following siRNA transfection, HFF rate of wound closure fell considerably. Addition of DHT at 10-7M and 10-9M concentrations did not
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160 * * 140 * 120 100 80 60 40 Proliferation (% to control) (% to Proliferation 20 0
A Control 10-9M DHT 10-8M DHT 10-7M DHT
120
100 * 80 *
60
40
20 Proliferation (% to control) (% to Proliferation
0 Control Gelsolin KD Gelsolin KD + Gelsolin KD + Gelsolin KD + B 10-9M 10-8M 10-7M
Figure 2.8
Proliferation of HFFs treated with gelsolin siRNA and DHT. HFFs were serum starved for a minimum of 3 hours before treatments. The assay is based on WST-1 colormetric detection of metabolic enzymes and measured using a spectrophotometer. (A)
Treatment of DHT (10-9M, 10-8M, 10-7M) on normal confluent HFFs (B) Treatment of
DHT (10-9M, 10-8M, 10-7M) on gelsolin siRNA knocked down HFFs. DHT was added to
HFFs 48 hours after initial gelsolin siRNA transfection. n = 6, *p<0.05 compared to controls.
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100 Control *a-b 10-9M 80 10-8M *c-e 60 10-7M
40 *f-h Wound SizeWound (%) *i-k 20
0 0 24 36 48 60 72 A Time (Hours)
100 *a-h Control *i-o Gelsolin KD 80 Gelsolin KD + 10-9M
Gelsolin KD + 10-8M 60 Gelsolin KD + 10-7M *p-u
40
Wound SizeWound (%) *v-z 20
0 0 24 36 48 60 72 84
B Time (Hours)
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Figure 2.9
In vitro wound closure assay. HFFs were serum-starved before wounding and measurements recorded at 0, 24, 36, 48, 60, 72 and 84 hours. Wound closure was measured by taking wound size area and converting to percentage of initial wound size. (A) Effects of DHT addition on rate of wound closure. The treatment of DHT accelerated the rate of wound closure as compared to the controls. Rate of wound closure had no differences between DHT concentrations. (B) Effects of gelsolin ablation on HFF wound closure. Wound closure in gelsolin knockdown HFFs was hindered considerably indicating the importance of gelsolin in cell migration. The 84 hours time- point was included to show complete wound closure. Treatment with 10-9M DHT had
no significant effects compared to gelsolin knockdown HFFs and rate of wound closure
was significantly impaired compared to the control. The addition of 10-8M DHT
however did increase the rate of wound closure but remained slower compared to the
control. Addition of 10-7M did increase rate of wound closure slightly at the first 36 hours of wound closure but was of no difference at 48 to 84 hours post-wounding. n = 4,
p<0.05
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change the rate of closure, it remained similar to gelsolin siRNA treatment group.
Although in the early time-points, 10-7M DHT treated HFFs had better closure, the significance was low and was identical to gelsolin knockdown cells towards the later time-points. Conversely, gelsolin knockdown HFFs treated with 10-8M DHT had an
improved rate of wound closure. However, it was not enough to recover to that of the
control group. Even with addition of DHT, the rate of wound closure in gelsolin
knockdown HFFs was still notably decreased.
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2.4 Discussion
Defining the relationship between two different proteins, gelsolin and the AR is integral
to further understand the fundamentals of hormone mediated wound healing and
potentially could lead to the development of rational pharmacogenomic based
therapeutics. This study has attempted to characterize the relationship between gelsolin
and AR during in vitro wound healing.
Initial studies were focused on elucidating both the gelsolin and AR expression pattern during an in vitro scratch wound assay. The results from this experiment showed up-
regulation of both gelsolin and AR in response to wounding. More specifically, it
showed a temporal increase of gelsolin and AR expression, peaking at 3 and 5 hours
respectively. This increase in gelsolin expression is consistent with findings from
studies showing motility defects, including pronounced stress fibers in skin fibroblasts
from gelsolin knockdown mice 78. The AR increase in expression was also consistent
with the full time-course wound repair findings by Ashcroft et al, 2002. Furthermore,
quantitation of immunofluorescent staining intensities also supported the findings,
showing up-regulation of gelsolin and AR during wound healing. By using a pure
population of human foreskin fibroblasts (HFF), the localization of both gelsolin and AR
could be visualized. Initially, expression of gelsolin was relatively low and localized
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mainly to the cytoplasm, as with AR. As time progressed, staining for both gelsolin and
AR increased before leveling off. Nuclear staining was also observed. Since gelsolin does not have a nuclear localization signal, its presence in the nucleus will most likely be serving as a co-regulator for AR target genes 81. During wound healing, gelsolin expression was highest at the leading edge of migrating cells. This is expected as actin cytoskeletal structures such as filopodia have to be regulated for cellular migration 179.
AR was also up-regulated in the leading edge cells which suggests a role for AR in the wound healing process. Since DHT was absent in the cell populations, the increase in
AR would have to be induced by an alternate pathway and maintained by a positive feedback loop 175.
Stimulation of HFFs using a dose response of DHT showed partial nuclear translocation of both gelsolin and AR. Results from Nishimura et al, 2003 showed complete nuclear translocation using COS-1 cells treated with either DHT or hydroxyflutamide. This is in contradiction to this study where no complete nuclear translocation of gelsolin and AR has been observed throughout the time-course experiment using HFFs. Strongest nuclear staining occurred within the first hour of DHT stimulation. This discrepancy may be attributed to the difference in cell line and most likely the sensitivity of cells to
DHT stimulation. Regardless, the co-translocation of both gelsolin and AR in HFFs would suggest cooperative association to initiate AR response genes for cellular growth.
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AR expression was induced by addition of DHT and interestingly, DHT addition also
led to an increase in gelsolin expression. Whether this is an experimental coincidence or due to cell growth is difficult to elucidate based on this data alone.
To further assess the role of gelsolin in androgen mediated wound healing, gelsolin
expression was reduced using gene silencing technology. Multiple controls were put in
place to ensure specificity of gelsolin siRNA. Decreased gelsolin expression was
associated with increased AR expression levels. Given the importance of gelsolin as an
AR co-activator81, it seems possible that the increase in AR expression was
compensatory. To verify this observation, expression of a fellow gelsolin member, Flii
was knocked down in the exact same procedure (data not shown). Interestingly, Flii
ablation was not associated with increase in AR expression. This suggests that the result
may be specific to gelsolin and not another member of the family. It is also noted that
Flii was the only family member tested and not all members of the gelsolin family. As
such, it may still be possible that other members of the family i.e. supervillin, may also
cause an increase in AR expression.
Cells are highly responsive to steroid hormones, which acts as a stimulus for various cellular processes including cell growth. Therefore, adding DHT to HFFs led to an increase in cellular proliferation and migration. To elucidate the importance of gelsolin
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in AR induced cellular proliferation and migration, gelsolin expression was ablated.
The reduction in gelsolin expression results in significantly less proliferation and
impaired migration. This is in agreement with studies done on gelsolin knockout mice
which have impaired wound healing due to impaired actin depolymerization 78. Given
that gelsolin is also a co-activator of AR, the reduction of gelsolin expression would
have a substantial negative impact on AR activity on cellular proliferation and
migration. Indeed, the addition of DHT to gelsolin knockdown HFFs did not increase
proliferation nor accelerate the rate of wound closure beyond that of normal cells
treated with DHT alone. In other words, DHT was still able to increase proliferation and
accelerate migration but to a lesser degree, suggesting that gelsolin was not essential in
the DHT stimulated cellular proliferation and migration. Although the knockdown of
gelsolin decreased migration, it was probably largely due to its role as an actin
remodeling protein that depolymerizes actin to allow cellular migration.
If gelsolin is a crucial co-activator for AR in wound healing, then the knockdown of
gelsolin expression should arrest cellular proliferation and migration which are the
most important processes during wound healing. However, this was not the case as the
presence of DHT improved cellular proliferation and migration. Taken together, this
study has demonstrated that gelsolin is not directly involved in DHT-stimulated cellular proliferation and migration or that functional redundancy has occurred. This
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implies that while gelsolin acts as a co-activator for AR, its function can be substituted by other co-activators. Perhaps this may account for the increase in AR expression when gelsolin expression is decreased to compensate for the loss of function. The link between gelsolin and the AR is intriguing. If gelsolin is involved in the androgen mediated wound healing molecular process, then many different biological processes could be affected by manipulation of gelsolin levels in order to control AR activity, which translates into many real-life clinical applications for wound healing.
Due to the outcome of this study showing that gelsolin was not a key re-activator for
AR in a fibroblast wound healing model, the project was not continued. However, future work may involve the analysis using a different approach. Genetically, gelsolin knockout mice could be designed for a wound healing trial with treatment of hormones.
It may also be interesting to determine which AR target genes are activated when gelsolin is the co-activator for that particular expression. This will provide a more definitive answer for the involvement of gelsolin as an AR co-activator.
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CHAPTER THREE
Flii deficiency improves wound healing and is associated with
higher expression ratio of TGFβ3 to TGFβ1
3.1 Introduction
3.1.1 Flii, a negative regulator of wound healing
Flii is a relatively novel protein involved in a range of cellular processes including its
functions as an actin remodeling protein and nuclear receptor co-activator (reviewed in
180). The full extent of the biological function of Flii is still not fully elucidated. Recent studies using Flii heterozygous null mice, Flii over-expressing transgenic mice, wild-
type (WT) mice in a well established in vivo wound repair model and in vitro research has revealed that Flii is a negative regulator of the wound healing process 110,111. Flii
affects epidermal keratinocyte and dermal fibroblast cellular proliferation and motility
as well as the ability of fibroblasts to produce collagen I. Flii heterozygous mice exhibit
smaller, more contracted wounds with more α-smooth muscle actin positive (αSMA) myofibroblasts, whereas Flii over-expressing mice showed delayed wound closure with increased dermal gape, reduced cellular proliferation and migration 111. Flii deficiency
also correlates with decreased collagen I expression in both in vivo mice wounds as well
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as in vitro siRNA treated fibroblasts 111. Perhaps the most compelling evidence indicating Flii is detrimental to wound repair is the application of specific Flii neutralizing antibodies to murine incisional wounds. Treatment with Flii neutralizing antibodies improves wound healing, confirming that Flii ablation is beneficial and that manipulation of its activity is possible for therapeutic purposes 111. However, the
underlining mechanisms leading to enhanced healing in Flii heterozygous mice are still
to be determined.
3.1.2 TGFβ and the wound healing process
TGFβ is a powerful multifunctional regulator of cellular growth with effects on
proliferation and differentiation. The most well-known biological function of TGFβ is its
role as a cytokine during the wound healing process, coordinating inflammatory cells as
an initial step to prevent wound infection 181. Even so, the true extent of TGFβ function
is still being unraveled. However, as a cytokine, excessive TGFβ is generally correlated
with increased inflammation. Its influence during the wound healing process is not
only limited to the inflammatory cells but also to epithelial cells such as keratinocytes
and fibroblasts 182-184. TGFβ can affect cellular proliferation and migration, although
various studies have yielded contradictory results indicating that the mechanism of
TGFβ function is still to be completely determined. On the one hand, TGFβ stimulates
the production of integrins (α5β1, αvβ5 and αvβ6) which facilitate the migration of
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epidermal cells over the provisional wound matrix 185,186. On the other hand, TGFβ
inhibits keratinocyte proliferation in vitro and in vivo 187.
TGFβ is a potential candidate for investigation in the Flii wound healing study for two
main reasons. Firstly, Flii over-expressing mice in the wound healing study exhibit
impaired healing and have increased inflammation. Secondly, 188 reported differential
levels of TGFβ1 in Flii over-expressing wounds, pointing to the involvement of TGFβ in
the wound healing process. As there are three mammalian isoforms of TGFβ, the expression levels of all three isoforms in WT, Flii heterozygous and over-expressing mice wounds will be investigated. It is hypothesized that the impaired healing observed in Flii over-expressing mice is due to excessive expression of TGFβ1.
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3.2 Materials and Methods
3.2.1 Flii Heterozygous and Over-expressing Mice Generation
The Flii heterozygous (Flii+/-) and over-expressing (FliiTg/+) mice were generated by our
collaborators, Hugh Campbell and Ruth Arkell from Molecular Genetics and Evolution
Group for the Molecular Genetics of Development, Research School of Biological
Sciences, Australian National University, Canberra, ACT, Australia 98. WT mice are of
BALB/c genetic background. The methods of generation/breeding are discussed below
in their respective headings.
3.2.2 Flii+/- mice generation
Flii heterozygous mice (Flii+/-) were generated by loss of function mutation in the Flii
gene via homologous recombination in embryonic stem cells and passage of these cells
through the germ line following chimera production. The generation of these mice and
the resulting mutation is described in 98 and a diagram of the targeting strategy is shown in diagram 1A. Animals homozygous for Flii are embryonic lethal and die in utero at embryonic day 7. The strain was therefore maintained by continuous backcross of heterozygous carriers (Flii+/-) to BALB/c mice. All mice used in this project were
heterozygous carriers from backcross generation 10 or later and thus were BALB/c
congenic. The heterozygous mice were identified using three primer PCR sets that
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1 kb+ ladder mutant allele (538bp)
NOTE: This figure is included on page 107 wild-type allele of the (210bp) print copy of the thesis held in the University of Adelaide Library.
Campbell et al, 2002 98
107
Figure 1
Targeted disruption of the Flii gene. (A) Illustrative representation of the domain structure of the targeting vector, relevant portion of the Flii gene and the targeted allele after homologous recombination. Restriction enzymes sites, BspEI is denoted by B,
EcoRV by E and NcoI by N. Flii exons are represented by the numbered open boxes. The tk-neo and pgk-thymidine kinase casettes are indicated. (B) Three primer PCR indicating wild-type (210kb) and mutant allele (538bp) products. Animals with one wild-type copy of the Flii gene and one mutant allele expressed no more than 50% of the normal wild-type Flii expression levels.
108
amplified products specific to the WT or targeted allele (Diagram 1B). The PCR was performed on DNA extracted from ear biopsies of potential heterozygotes 189. The animals with one wild-type copy of the Flii gene and one mutant copy are presumed to express no more than 50% of the normal Flii gene expression.
3.2.3 FliiTg/+ mice generation
Mice carrying additional copies of the Flii gene were generated by introducing a cosmid construct into the mouse genome via transgenesis. At the time of strain production, the cosmid contained the Flii gene and surrounding sequences with the extent of the construct being defined via restriction mapping. The availability of the mouse genome sequence allowed us to estimate the extent of the cosmid. It is now known that the cosmid contains all of the neighboring SMCR7 gene and parts of the Topo and LLGL1 genes (see Diagram 2). The transgenic strain was backcrossed to BALB/c animals for 10 generations before being intercrossed and homozygous animals were identified via progeny testing. The mouse colony was subsequently maintained by intercross of animals homozygous for the transgene. These animals carry two copies of the mouse
Flii gene and two copies of the human Flii transgene (Flii+/+; FliiTg/Tg). In some cases,
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NOTE: This figure is included on page 110 of the print copy of the thesis held in
the University of Adelaide Library.
Figure 2
Domain structure of cosmid containing Flii gene which is used to generate Flii transgenic mice. Cosmid contains SMCR7 gene, parts of TOP3A and LLGL1 genes.
Restriction sites on the cosmid are also shown.
Campbell et al, 2002 98
110
these animals were out-crossed to BALB/c animals to generate progeny that carry two
mouse Flii gene and one copy of human Flii transgene (Flii+/+; FliiTg/+ are denoted as
FliiTg/+ throughout the thesis).
3.2.4 Murine Incisional Wound Surgery
All animal experiments were approved by the Adelaide Women’s and Children’s
Hospital Animal Care and Ethics Committee and the Australian National University
Animal Ethics Committee following the Australian Code of Practice for the Care and
Use of Animals for Scientific Purposes. The mice were housed in the Women’s and
Children’s Hospital animal house and cages were cleaned and food and water replaced
daily.
Surgery was performed on 72 twelve weeks old mice, 24 wild-type (WT), 24 Flii
heterozygous (Flii+/-) and 24 transgenic (FliiTg/+) mice. Four timepoints, 3, 7, 14 and 21 days post-wounding were chosen to represent the different periods in wound healing.
n=6 per timepoint, 2 wounds created per mice. Mice were weighed upon arrival, prior
to surgery and post-surgery at timepoints stated above to monitor their well-being.
Mouse behavior was also observed regularly. Before surgery, the mice were induced
with anesthesia using 5% isofluorane at 2L oxygen per minute. Anesthesia was
maintained using 2% isofluorane at 500ml oxygen per minute throughout surgery. The
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mice were then shaved. Two equidistant, 1cm full thickness incisions were made
through the skin to the panniculus carnosus on the flanks of the mice extending 3-4 cm from the base of the skull, 1cm either side of the spinal column and left to heal by secondary intention (i.e. wounds left unopposed and not sutured). At designated day of
sacrifice, the mice were weighed and euthanized using CO2 and cervical dislocation.
The mice were then re-shaved and photographs of the wounds were taken prior to
excision. Both left and right wounds were excised and bisected, half was used for
histological analyses and the other half was snap frozen in liquid nitrogen and stored at
-80°C for biochemical analyses. For each mouse group, unwounded skin was collected
from the WT, Flii+/- and FliiTg/+ mice and divided as stated above.
3.2.5 Histological Processing
Tissue collected from surgery was fixed in 10% formalin and processed in a Leica
TP1020 tissue processor which dehydrated the tissues in graded alcohol series (70% for
120mins, 80% for 60mins, 90% for 105mins and 100% for 240mins), cleared in transitional solvent xylene for 180mins followed by 240mins of tissue infiltration with paraffin wax. Tissue sections (4µm) were cut from paraffin-embedded fixed tissue using
Leica RM2235 microtome. Prior to staining, skin sections were dewaxed by a series of xylene (30mins), and graduated ethanol washes (100%, 1min, 70%, 1 min & 30%, 1 min)
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before further processing. Skin sections were either stained with haemotoxylin and
eosin (H&E) or with antibodies listed in Table 3.1.
3.2.6 Immunohistochemistry
Immunohistochemical staining of TGFβ1, TGFβ2, TGFβ3, TβRI and TβRII expression
was performed on all WT, Flii+/- and FliiTg/+ mice skin at day 0, day 3, day 7, day 14 and
day 21 post-wounding and analysis of fluorescence assessed in the dermis of both
wounded and unwounded skin. Antigen retrieval was required for these antigens.
Sections were dewaxed by a series of xylene (30mins), and graduated ethanol washes
(100% for 1min, 70% for 1 min & 30% for 1 min) before rinsing in 1x PBS and pre-treated
with 250ml Target Retrival Solution (TRS) (2.8g Citric Acid, 3.76g Glycine, 0.372g
EDTA, pH 5.9 in 1L 1x PBS) solution. The sections were then microwaved on high
setting for 2mins after which a “ballast” pot of water was added to help absorb some
heat and to prevent damage to sections and pretreatment continued for 2 x 5mins in
microwave with regular “airing” to prevent overheating. Temperature was maintained
at 94°C. Sections were cooled to 50°C on ice before rinsing in 1x PBS and enzymatic
digestion for 3mins with 0.0625g of Trypsin (Sigma Aldrich, Sydney, Australia)
dissolved in pre-warmed 1x PBS at 37°C. Following digestion, sections were washed in
1x PBS and incubated with normal horse serum (NHS, 3% dissolved in 1x PBS) blocking
solution
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Concentration used Raised Antibody Manufacturer Catalog # in Western Immunostaining Santa Cruz TGFβ1 sc-146 Rabbit 1µg/ml 2µg/ml Biotechnology
TGFβ2 R&D Systems AB-12-NA Rabbit 1µg/ml 2µg/ml
AB-244- TGFβ3 R&D Systems Goat 1µg/ml 2µg/ml NA Santa Cruz TGFβ Receptor I sc-399 Rabbit 1µg/ml 2µg/ml Biotechnology Santa Cruz TGFβ Receptor II sc-1700 Rabbit 1µg/ml 2µg/ml Biotechnology 2° Anti-rabbit Invitrogen A11008 Goat N/A 2µg/ml Alexa Fluor 488 Biotinylated Vector 2° Anti-mouse BA-2000 Horse N/A 2µg/ml Laboratories IgG Strepdavidin Invitrogen S32355 N/A N/A 2µg/ml Alexa Fluor 555
Table 3.1
Information of antibodies used in western analyses and immunofluorescent stainings.
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for 30 mins at room temperature. Refer to Table 3.1 for antibody information. This was
followed by another wash in 1x PBS before incubation with primary antibodies (3%
NHS dissolved in 1x PBS) in a moist box overnight at 4°C. Sections were then washed 3
x 2mins in 1x PBS followed by incubation with biotinylated secondary antibodies (1x
PBS) for 1hr at room temperature. Sections were then washed again 3 x 2mins in 1x PBS
and incubated with cy3 Streptavidin (Sigma Aldrich, Sydney, Australia) conjugate (1x
PBS) for 45mins at room temperature. This was followed by final 3 x 2mins washes before mounting sections using Dako Fluorescent Mounting Medium (DAKO, Botany,
Australia). Slides were then stored in dark at -20°C. Integrated fluorescence intensity was determined using AnalySIS software (Soft-Imaging System GmbH, Munster,
Germany). Negative controls were included to demonstrate antibody staining specificity. Control samples undergo the exact staining procedure omitting either the primary or the secondary antibody. All control samples had negligible immunofluorescence.
3.2.7 Cell culture
Human Foreskin Fibroblasts (HFFs) were cultured in Dulbecco’s modified Eagle’s
Medium (DMEM) supplemented with 10% fetal calf serum (FCS) and antibiotics (100U
penicillin and 100ug/500ml streptomycin). Cell cultures were incubated at 37°C and 5%
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CO2. Cells were serum starved in DMEM containing antibiotics for at least 3 hours or
otherwise stated prior to start of experimenting to synchronize cells.
3.2.8 siRNA knockdown
HFFs were seeded into 6 well tissue culture plates and cultured overnight to achieve
30% to 50% confluence at time of transfection. Sequence of Flii siRNA are as follows;
forward: 5’-GCU GGA ACA CUU GUC UGU GTT-3’, reverse: 5’-CAC AGA CAA GUG
UUC CAG CTT-3’ 105. siRNA were transfected into the cells using Lipofectamine 2000
(Invitrogen, Carlsbad, USA). Both siRNA and Lipofectamine 2000 were diluted in Opti-
MEM I Reduced Serum Medium (Invitrogen, Carlsbad, USA). 250µl of siRNA
(optimized to 100nM per well) was mixed with 4µg of Lipofectamine 2000 diluted in
250µl Opti-MEM and were allowed to complex at room temperature for 20 minutes.
500µl of siRNA:Lipofectamine 2000 complex was then added to each well, mixed and
cells incubated for 6 hours before replacing transfection media with DMEM containing
10% FCS only. Cells were incubated for 48 hours prior to gene knockdown assessment.
3.2.9 RNA extraction
RNA was extracted from Human Foreskin Fibroblasts. RNA extraction from cell
cultures only required scraping cells from culture flasks after adding Trizol Reagent
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(Invitrogen, Victoria, Australia). Samples were transferred into fresh eppendorf tubes
and centrifuged at 12,000g at 4°C for 10mins to remove cell debris. The samples were
incubated for 5mins at room temperature before adding 200µl of chloroform to each
tube and were mixed thoroughly by hand for 15secs. The samples were kept at room
temperature for 3mins and centrifuged at 12,000g for 15mins at 4°C. The aqueous phase
containing RNA was transferred into a fresh tube and 500µl of isopropanol added to
precipitate the RNA. The samples were then incubated at room temperature for 10mins
before centrifuging at 12,000g for 10mins at 4°C. The supernatant was discarded and the
residual pellet washed with 1ml of 75% ethanol. Finally, samples were centrifuged at
7500g for 5mins at 4°C and supernatant discarded. The pellet was dried and re- dissolved in 50µl DEPC water.
3.2.10 DNase Treatment and RNA Quantitation
RNA samples obtained were subjected to DNA-free DNase Treatment and Removal Kit
(Ambion, TX, USA) as instructed by the manufacturer to remove any contaminating
genomic DNA. Firstly, RNA samples were treated with 0.1 volume of 10x DNase Buffer
and 1µl of rDNase I and incubated at 37°C for 30mins. Following this, 0.1 volume of
DNAse Inactivating Reagent was added to the samples and incubated at 2mins at room
temperature with occasional mixing. The samples were then centrifuged at 10,000g for
90secs and supernatant transferred to fresh tubes. RNA was quantitated by diluting 1 in
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20 with RNase free water and 100µl duplicates were quantified using a Pharmacia
Biotech GeneQuant RNA/DNA Calculator using RNase-free water as a blank.
Absorbance at 260nm and 280nm were measured that quantify RNA absorbance as
µg/µl concentration. Purity of RNA was confirmed by the A260/A280 ratio and a value
between 1.7 to 2.0 indicates good RNA quality.
3.2.11 Complementary Deoxyribonucleic Acid (cDNA) Synthesis
cDNA was synthesized from RNA using reverse transcription. Each reaction contains
1µg of RNA with 4µl 2.5µM dNTPs (dATP, dCTP, dGTP and dTTP, 100mM each,
Promega, WI, USA) and 2µl Oligo(dt)12-18 Primer (25µg at 0.5µg/µl, Invitrogen, Victoria,
Australia). This was heated at 85°C for 3mins and placed in ice immediately. 2µl 10x
Stratascript Buffer (Stratagene, Epson, UK), 1µl RNasin (Promega, WI, USA) and 1µl
Stratascript Reverse Transcriptase (Stratagene, Epson, UK) were added to the mixture
and heated at 42°C for 60mins followed by 92°C for 10mins before cooling it down on
ice. A control sample was prepared with the reagents above with the exclusion of
reverse transcriptase for use in the Real-Time quantitative-Polymerase Chain Reaction
(RTq-PCR) as a negative control.
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3.2.12 Real-Time quantitative-Polymerase Chain Reaction (RTq-PCR)
Each PCR reaction tube containing cDNA was set up to a final concentration of 1x SYBR
Green, 1x Amplitag PCR buffer, 3mM MgCl2, 5mM dNTPs, 0.9µM primers (forward
and reverse), 1.25 Units of AmpliTag Gold DNA polymerase in 25µl of H2O. Primer
sequences used in this chapter is shown in Table 3.2. The cycle conditions are as follows;
an initial denaturation at 95°C for 15 minutes, 35 cycles of 95°C for 25 seconds, 60°C for
30 seconds, 72°C for 30 seconds and at the final cycle, an additional 5 minutes at 72°C before a melt from 72°C to 99°C at 30 seconds at each degree step.
3.2.13 Statistical Analysis
All statistical differences were determined using the Student’s t-test or ANOVA. P
value of less than 0.05 was considered significant.
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Forward or Primer Sequence 5' - 3' Reverse forward CCT CCT ACA GCT AGC AGG TTA TCA AC (Flii) reverse GCA TGT GCT GGA TAT ATA CCT GGC AG forward CAG ACA GCC CCT GCC AGC ACC C Gelsolin reverse GAG TTC AGT GCA CCA GCC TTA GGC forward GGT TGG ATG GCA AGC ATG TG Cyclophillin A reverse TGC TGG TCT TGC CAT TCC TG forward CTA CGA GGC GTC ATC CTC CCG c-Fos reverse AGC TCC CTC CGG TTG CGG CAT forward GAA ACG ACC TTC TAT GAC GAT GCC CTC AA c-Jun reverse GAA CCC CTC CTG CTC ATC TGT CAC GTT CTT forward GTT GGA CGA GCT GGA GAA GG Smad 3 reverse TGC TGT GGT TCA TCT GGT GG forward ACG GCC ATC TTC AGC ACC AC Smad 4 reverse AGA ATG CAC AAT CGC CGG AG forward GCT CAC GCA CTC GGT GCT CA Smad 7 reverse CCA GGC TCC AGA AGA AGT TG
Table 3.2
Primer sequences used in RT-qPCR
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3.3 Results
3.3.1 Time-course analyses of TGFβ1 expression in wounded mice skin
Murine skin sections were stained with haemotoxylin and eosin to illustrate the key differences of unwounded and wounded skin sections (Figure 3.1A, C). A typical skin section is represented by three distinct components. The epidermis consists of keratin producing stratified keratinocytes which overlies the dermis. This middle layer is composed of loosely arranged connective tissues, fibroblasts, collagens, nerves, blood vessels (Figure 3.1A, B, arrowheads) and other adnexal structures such as hair follicles
(Figure 3.1A, arrows). Immune cells such as macrophages and mast cells are also found in the dermis. Below the dermis is the subcutaneous layer which is primarily composed of adipose tissue. This is seen as the layer between the dermis and the panniculus muscle as shown in Figure 3.1A. In a wounded skin section, the scab tissue and a thick re-epithelializing epidermis can be clearly seen as shown in Figure 3.1C. No hair follicle could be seen at the wound site due to the complete removal in a full thickness injury.
TGFβ1 staining was done to show the relative position of an immunofluorescent image on a skin section (Figure 3.1,B, D). All immunofluorescent images are taken at or adjacent to the position defined by the box in Figure 3.1A,C.
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ep ep d
d
p A B
C ep ep s wm
p wm D
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Figure 3.1
Histology and immunohistochemistry of murine skin sections. Skin biopsies from WT mice were fixed in formalin, embedded in paraffin wax, sectioned (4µm) and stained either with hematoxylin and eosin (H&E) to illustrate normal and wounded tissue morphology, or anti-TGFβ1 antibodies to show the relative position of an immunofluorescent image on a skin section. (A,C) Typical H&E staining of a normal
(unwounded) and wounded murine skin section. (B,D) Immunohistochemical staining of TGFβ1 in a relative position as indicated by a box in (A) and (C) respectively. In all images, ep indicates position of epidermis, d indicates position of dermis, wm indicates position of wound matrix, p indicates the position of the panniculus and s indicates the position of the scab tissue. Arrowheads indicate blood vessels and arrows indicate hair follicles in (A). Dotted white or black line separates the epidermis from the dermis or the wound matrix in all images. Scale bar = 50 µm in (A, C), (B, D).
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negligible in WT, Flii+/- and FliiTg/+ unwounded skin (day 0) indicating low TGFβ1
expression levels (Figure 3.2A-C). As expected, TGFβ1 expression significantly
increased upon wounding. The expression of TGFβ1 was highest at day 7 post-
wounding in Flii+/-, WT and FliiTg/+ wounds and is shown in Figure 3.2D-F. At day 7,
TGFβ1 expression was observed to be mainly localized to the provisional wound matrix
in the dermis where the major TGFβ secreting cells such as the fibroblasts reside. The
increase in TGFβ1 expression remain elevated in the provisional wound matrix until 14
days post-wounding before returning to normal basal expression at 21 days post-
wounding (Figure 3.2G). It was found that TGFβ1 expression was significantly elevated
particularly in FliiTg/+ wounds particularly at day 7 post-wounding and remained
elevated at day 14 and day 21 although reduced from its peak at day 7. It was noted that
Flii+/- wounds expressed significantly lower levels of TGFβ1 levels at day 7 compared to
WT and FliiTg/+ wounds throughout the wound healing time-course.
3.3.2 Time-course analyses of TGFβ2 expression in wounded mice skin
TGFβ2 expression was negligible in WT, Flii+/- and FliiTg/+ unwounded skin (day 0)
(Figure 3.3A-C). At day 7, TGFβ2 expression was significantly elevated in all WT, Flii+/-
and FliiTg/+ wounds compared to unwounded skin and is shown in Figure 3.3D-F. In day
7 wounds, the majority of TGFβ2 expression was localized to the provisional wound
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Flii+/- WT FliiTg/+
A ep B C ep ep Day 0 d d d
D E ep F ep
Day 7 wm wm wm
G Flii+/- 100 *c-e WT
80 FliiTg/+ *f-g 60 *h-i Fluorescence *a-b
1 40 Intensity/unit area Intensity/unit TGF β 20
0 0 3 7 14 21 Days
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Figure 3.2
Immunofluorescence staining of TGFβ1 in WT, Flii+/- and FliiTg/+ unwounded and wounded skin sections. (A-C) Unwounded skin sections showing negligible TGFβ1 staining. (D-F) Day 7 immunofluorescence of TGFβ1 in WT, Flii+/- and FliiTg/+ wounds.
(G) Quantitated immunofluorescent staining intensity of TGFβ1 in WT, Flii+/- and FliiTg/+ wounds at day 0 (unwounded), 3, 7, 14 and 21 post-wounding. In all images, ep indicates position of epidermis, d indicates position of dermis and wm indicates position of wound matrix. Dotted white or black line separates the epidermis from the dermis or the wound matrix in all images. Results represent mean ± S.E.M. n = 6 for each group per time-point. *a = WT vs FliiTg/+, *b = Flii+/- vs FliiTg/+, c = WT vs FliiTg/+, d =
WT vs Flii+/-, e = Flii+/- vs FliiTg/+, f = WT vs FliiTg/+, g = Flii+/- vs FliiTg/+, h = WT vs FliiTg/+, i =
Flii+/- vs FliiTg/+.*p < 0.05. Scale bar = 50 µm in (F).
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Flii+/- WT FliiTg/+ A ep B ep C ep
d d d Day 0
D E ep F ep ep
wm wm Day 7 wm
G *a-c 100 Flii+/- *d-e WT 80 FliiTg/+
60
Fluorescence 40 2 Intensity/unit area Intensity/unit TGF β 20
0 0 3 7 14 21 Days
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Figure 3.3
Immunofluorescence staining of TGFβ2 in WT, Flii+/- and FliiTg/+ unwounded and wounded skin sections. (A-C) Unwounded skin sections showing negligible TGFβ2 staining. (D-F) Day 7 immunofluorescence of TGFβ2 in WT, Flii+/- and FliiTg/+ wounds.
(G) Quantitated immunofluorescent staining intensity of TGFβ2 in WT, Flii+/- and FliiTg/+ wounds at day 0 (unwounded), 3, 7, 14 and 21 post-wounding. In all images, ep indicates position of epidermis, d indicates position of dermis and wm indicates position of wound matrix. Dotted white or black line separates the epidermis from the dermis or the wound matrix in all images. Results represent mean ± S.E.M. n = 6 for each group per time-point. *a = WT vs FliiTg/+, *b = WT vs Flii+/-, *c = Flii+/- vs FliiTg/+, d =
WT vs FliiTg/+, e = Flii+/- vs FliiTg/+. *p < 0.05. Scale bar = 50µm in (F).
128
matrix as well as the surrounding dermis. During the wound healing time-course experiment spanning 21 days, TGFβ2 expression was significantly increased at day 3 post-wounding and was also maintained at higher levels throughout the time-course
(Figure 3.3G). Unlike TGFβ1, TGFβ2 levels remained significantly elevated at day 21 in all groups. TGFβ2 expression increased up to day 7 and this was particularly striking in
FliiTg/+ wounds which was significantly higher than WT and Flii+/- respectively. TGFβ2
expression reduced at day 14 and 21 before returning to baseline levels.
3.3.3 Time-course analyses of TGFβ3 expression in wounded mice skin
Similar to TGFβ1 and TGFβ2, TGFβ3 immunofluorescence was minimal in WT, Flii+/-
and FliiTg/+ unwounded skin (day 0) (Figure 3.4A-C). Representative images of day 7
wounds are shown in Figure 3.4D-F. Staining for TGFβ3 is similar to TGFβ1 and TGFβ2
staining where TGFβ3 expression increased in response to wounding. The majority of
TGFβ3 expression was localized to the provisional wound matrix and the surrounding
dermis. Analysis of the expression profile of TGFβ3 during wound healing showed a
significant increase in expression of this isoform in day 7 wounds until day 14 before
returning to basal levels at day 21 post-wounding (Figure 3.4G). Both WT and FliiTg/+
wounds also expressed higher TGFβ3 at day 3, 7 and 14 but returned to basal levels at
day 21. WT and FliiTg/+ wounds had no noticeable difference throughout the wound
healing time-course. However, in contrast to what was observed with TGFβ1 and
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Flii+/- WT FliiTg/+
A ep B ep C ep
Day 0 d d d
ep D ep E ep F
wm Day 7 wm wm
G Flii+/- 100 WT *a-b *c-d 80 FliiTg/+
60 Fluorescence
3 40
Intensity/unit area Intensity/unit TGF β 20
0 0 3 7 14 21
Days
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Figure 3.4
Immunofluorescence staining of TGFβ3 in WT, Flii+/- and FliiTg/+ unwounded and wounded skin sections. (A-C) Unwounded skin sections showing negligible TGFβ3 staining. (D-F) Day 7 immunofluorescence of TGFβ3 in WT, Flii+/- and FliiTg/+ wounds.
(G) Quantitated immunofluorescent staining intensity of TGFβ3 in WT, Flii+/- and FliiTg/+ wounds at day 0 (unwounded), 3, 7, 14 and 21 post-wounding. In all images, ep indicates position of epidermis, d indicates position of dermis and wm indicates position of wound matrix. Dotted white or black line separates the epidermis from the dermis or the wound matrix in all images. Results represent mean ± S.E.M. n = 6 for each group per time-point. *a = WT vs FliiTg/+,*b = Flii+/- vs FliiTg/+, c = WT vs FliiTg/+, d =
Flii+/- vs FliiTg/+.*p < 0.05. Scale bar = 50µm in (F).
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TGFβ2 isoforms, Flii+/- wounds had significantly higher levels of TGFβ3 at day 7 and 14
post-wounding than WT and FliiTg/+. These levels of TGFβ3 were more than doubled at day 7 compared to the unwounded samples.
In our immunofluorescent staining results, we found that day 7 exhibited the most differences between TGFβ1, TGFβ2 and TGFβ3. Therefore, the staining intensities of each TGFβ isoform were compared between one another for each individual WT, Flii+/-
and FliiTg/+ wounds at day 7 post-wounding. Comparative expression of TGFβ1, TGFβ2
and TGFβ3 in WT, Flii+/- and FliiTg/+ wounds at day 7 are shown in Figure 3.5. Flii+/-
wounds at day 7 expressed lower levels of TGFβ1 and higher levels of TGFβ3 compared
to WT and FliiTg/+ wounds. TGFβ2 expression was also marginally lower than WT and
FliiTg/+ wounds at day 7. Conversely, FliiTg/+ wounds had an entirely different TGFβ
expression profile to the Flii+/- wounds. FliiTg/+ wounds had higher levels of TGFβ1
compared to WT and Flii+/- wounds. TGFβ2 expression was also slightly elevated in
FliiTg/+ wounds. Although TGFβ3 levels were slightly higher than in WT wounds, it was
significantly lower than that of Flii+/- wounds. Therefore, it can be clearly observed that
Flii+/- wounds had a low TGFβ1 to high TGFβ3 expression ratio which was opposite to
FliiTg/+ wounds with an expression ratio of high TGFβ1 to low TGFβ3.
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Day 7
200 *e *c-d
150 *f TGF-β1 100 *a-b TGF-β2
50 TGF-β3
0 Fluorescence Intensity (% of Control) Flii+/- WT FliiTg/+
Figure 3.5
Fluorescent intensity comparison of TGFβ1, TGFβ2 and TGFβ3 expressions between
WT, Flii+/- and FliiTg/+ sections in day 7 post-wounded skin and expressed as a
percentage of control. Flii+/- wounded skin expressed a lower amount of TGFβ1 and
considerably higher TGFβ3 whereas FliiTg/+ wounded skin expressed higher amount of
TGFβ1 and lower levels of TGFβ3. Results represent mean ± S.E.M. n = 6 for each group
per time-point. *a = Flii+/- vs WT, *b = Flii+/- vs FliiTg/+, *c = Flii+/- vs WT, *d = Flii+/- vs
FliiTg/+, *e = FliiTg/+ vs WT, *f = FliiTg/+ vs WT. *p < 0.05.
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3.3.4 Time-course analyses of TβRI and TβRII in wounded mice skin
TβRI and TβRII are the main receptors responsible for transducing TGFβ signals and
were also investigated in this study. Immunohistochemical staining of TβRI and TβRII
in unwounded skin showed that both TβRI and TβRII were localized to the epidermis,
endothelial cells lining the blood vessels and hair follicles (Figure 3.6 A-C & Figure
3.7A-C). Minimal staining were observed in the dermis of unwounded skin. In addition,
no significant difference in TβRI and TβRII expression was observed between WT, Flii+/-
and FliiTg/+ unwounded skins. TβRI and TβRII expression was increased in response to
wounding. In wounded skin sections, staining for TβRI and TβRII was observed to be
localized to the newly formed epidermis as well as the underlining provisional wound
matrix.
By analyzing the TβRI expression profile, it was observed that TβRI expression
increased slightly at day 3 and become significantly higher at day 7 before decreasing at
day 14 and 21 post-wounding in all WT, Flii+/- and FliiTg/+ wounds (Figure 3.6G). There were no differences in TβRI expression between WT, Flii+/- and FliiTg/+ wounds at all
time-points. It was also noted that at day 21 post-wounding, TβRI remained slightly elevated compared to the basal expression levels in unwounded skin. TβRII also had a similar expression profile (Figure 3.7G). In wounded skin, TβRII expression was
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Flii+/- WT FliiTg/+
A ep B ep C ep
Day 0 d d d
D ep E ep F ep
Day 7 wm wm wm
G Flii+/- 100 WT
80 FliiTg/+
60
Fluorescence 40 RI β T Intensity/unit area Intensity/unit 20
0 0 3 7 14 21 Days
135
Figure 3.6
Immunofluorescence staining of TβRI in WT, Flii+/- and FliiTg/+ unwounded and wounded skin sections. (A-C) Unwounded skin sections showing negligible TβRI staining. (D-F) Day 7 immunofluorescence of TβRI in WT, Flii+/- and FliiTg/+ wounds. (G)
Quantitated immunofluorescent staining intensity of TβRI in WT, Flii+/- and FliiTg/+ wounds at day 0 (unwounded), 3, 7, 14 and 21 post-wounding. In all images, ep indicates position of epidermis, d indicates position of dermis and wm indicates position of wound matrix. Dotted white or black line separates the epidermis from the dermis or the wound matrix in all images. Results represent mean ± S.E.M. n = 6 for each group per time-point. Scale bar = 50µm in (F).
136
Flii+/- WT FliiTg/+
A ep B ep C ep
d Day 0 d d
D ep E ep F ep
Day 7 wm wm wm
G Flii+/- 100 WT
80 FliiTg/+
60
40 RII Fluorescence RII β T Intensity/unit area Intensity/unit 20
0 01 23 37 144 215 Days
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Figure 3.7
Immunofluorescence staining of TβRII in WT, Flii+/- and FliiTg/+ unwounded and
wounded skin sections. (A-C) Unwounded skin sections showing negligible TβRII
staining. (D-F) Day 7 immunofluorescence of TβRII in WT, Flii+/- and FliiTg/+ wounds. (G)
Quantitated immunofluorescent staining intensity of TβRII in WT, Flii+/- and FliiTg/+
wounds at day 0 (unwounded), 3, 7, 14 and 21 post-wounding. In all images, ep
indicates position of epidermis, d indicates position of dermis and wm indicates
position of wound matrix. Dotted white or black line separates the epidermis from the
dermis or the wound matrix in all images. Results represent mean ± S.E.M. n = 6 for
each group per time-point. Scale bar = 50µm in (F).
138
increased at day 3 and expression peaked at day 7 post-wounding before declining at day 14 and reaching basal levels at day 21. There were also no noticeable differences between WT, Flii+/- and FliiTg/+ wounds at all time-points.
3.3.5 Flii knockdown alters TGFβ gene expression.
To further substantiate that manipulation of Flii affects TGFβ expression, an in vitro Flii
siRNA gene knockdown method was employed. Flii gene expression in normal human
foreskin fibroblasts (HFFs) was knocked down and mRNA quantified using real-time
quantitative polymerase chain reaction (RT-qPCR). Flii gene expression levels after
knockdown were approximately 22%, which was significantly lower than its normal
levels (Figure 3.8A). A scrambled siRNA sequence was used as a control to show that
sham siRNA knockdown process had no effect on Flii gene expression. Gelsolin gene
expression was also included as a specificity control and showed no difference (Figure
3.8B). However, changes in TGFβ isoform mRNA expressions in cells with reduced Flii
gene expression were clearly observed (Figure 3.8B). Both TGFβ1 and TGFβ2 levels
were significantly decreased and mRNA expression levels were approximately at 56%
and 62% of original expression. On the contrary, TGFβ3 mRNA levels were significantly
increased (37%) in response to Flii gene knockdown. This complemented the in vivo
Flii+/- wound healing results where mice heterozygous for Flii gene expression had higher TGFβ3 protein compared to TGFβ1 and TGFβ2 expression.
139
A 120
100
80
60 * 40
Fold Change (% control) to Change Fold 20
0 Flii siRNA Scrambled siRNA
B 160 * 140
120
100
* 80 * 60
40 * Fold Change (% Control) to Change Fold 20
0 Flii Gelsolin TGF-β1 TGF-β2 TGF-β3
140
Figure 3.8
Effects of Flii siRNA knockdown on TGFβ and its associated genes. Flii gene expression was knocked down using siRNA in normal human foreskin fibroblasts. Gene expressions of TGFβs were quantitated using RTq-PCR. Results are expressed as a percentage to control which is represented by the dotted line at 100%. (A) Level of Flii gene knockdown using siRNA. Scrambled siRNA sequence is included as a control to show that process of siRNA knockdown does not decrease Flii gene expression. (B) mRNA expression levels of TGFβ1, TGFβ2 and TGFβ3 in Flii knockdown HFFs.
Gelsolin, a member of the family is included as a control gene to show target specificity of Flii siRNA. Results represent mean ± S.E.M. n = 6 for each group, *p < 0.05.
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3.4 Discussion
The actin remodeling protein Flii is a negative regulator of wound healing 111. Healing was enhanced in mice heterozygous for Flii gene whereas mice over-expressing Flii had larger wounds due to impaired healing. It is understood that difference in cellular characteristics such as migration and proliferation contributed to the above outcome.
However, the molecular mechanism for such a variation in cellular characteristics remains unknown. In a separate study by 188, higher levels of TGFβ1 were found in mice
over-expressing Flii which provided a clue, suggesting that TGFβ may be involved in
the Flii mediated wound healing process. As a result, it was hypothesized that the
enhanced healing in mice heterozygous for Flii gene is due to the levels of TGFβ1
present during wound healing. This study has provided more insight into the enhanced
healing in Flii heterozygous mice by profiling expression of TGFβ isoforms and their
receptors TβRI and TβRII using an in vivo time-course wound healing trial.
During the trial, TGFβ1 expression was dramatically increased in mice over-expressing
Flii, consistent with results from 188. However, increases were also observed in WT and
Flii heterozygous mice, albeit in lesser amounts than Flii over-expressing mice. This
observation was also similar for TGFβ2 expression. Under normal wound healing
conditions, TGFβ1 is upregulated in response to wounding. Indeed, reduced TGFβ1 can
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lead to weaker wound strength and impaired healing 121. However, this is more likely due to the multifocal inflammation nature of TGFβ1 mice as no differences in healing between wild-type and TGFβ1 knockout mice occur until 10 days later when inflammation sets in, consequently affecting wound healing 190,191. Conversely, excessive
TGFβ1 has been shown to directly promote scar formation 117,192. It has also been reported that the reduction of TGFβ1 expression led to an improvement in the healing of cutaneous wounds due to a lower inflammatory response 193. Therefore, this may explain the impaired healing outcome of Flii over-expressing mice wounds which express more TGFβ1, or the lack thereof in Flii heterozygous mice wounds, which exhibited improved healing.
TGFβ1 only provides part of the story; expression of TGFβ2 and TGFβ3 also have to be considered. The function of TGFβ2 remains less well understood compared to TGFβ1 and TGFβ3 in the process of wound healing. Although, it is a less potent cytokine compared to both TGFβ1 and TGFβ3, it still contributes to the acceleration of scar formation and increased collagen I production 194. For this reason, it too is not desirable in high levels during wound healing. Similarly to the above TGFβ1 results, expression is highest in mice over-expressing Flii and lowest in Flii heterozygous mice. Therefore, higher TGFβ2 expression may also contribute or exacerbate the effects of TGFβ1 in Flii over-expressing mice wounds to result in impaired healing. The higher levels of both
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TGFβ1 and TGFβ2, as seen in Flii over-expressing mice wounds, have been shown to
promote scarring 117. The authors used neutralizing antibodies to TGFβ1 and TGFβ2 and
showed that by eliminating the activities of these cytokines, they could reduce the
detrimental effects of TGFβ1 and TGFβ2 during wound healing.
Expression of TGFβ3 in Flii heterozygous and over-expressing mice provided an
interesting and novel result during the wound healing trial. Various studies have
revealed the beneficial properties of TGFβ3 in enhancing wound healing as well as
improving the outcome of scar formation 116,118,195,196. The mechanism underlying TGFβ3s
beneficial properties is still not clear. However, one interesting point is that TGFβ1 and
TGFβ2 are more associated with adult wound healing and TGFβ3 is more closely associated with fetal scarless wound healing 115. Therefore, these findings may provide
an explanation for the improvement in Flii heterozygous mice wounds in which this
study showed higher levels of TGFβ3 than WT and Flii over-expressing mice wounds.
To further investigate TGFβ signaling responses, the expression profile of its receptors,
TβRI and TβRII were also investigated. Although both receptors are important in
determining the outcome of wound healing by altering downstream signaling activities
of TGFβs, no significant differences between the mice groups were identified. This
suggests that TβRI and TβRII expressions is not directly affected by the expression of
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Flii. The differences in wound healing observed in WT, Flii heterozygous and over-
expressing mice are more likely to be attributable to the TGFβs.
A direct comparison of all three TGF isoforms were performed in WT, Flii heterozygous
and over-expressing mice on day 7 of the wound healing time-course. Day 7 was chosen
as a comparison time-point due as the period coincides with the proliferative and
remodeling phase which is essentially the most important part of the wound healing
process. Coincidentally, it is also the time-point that showed the most differences
between TGFβ expressions in each mice group. TGFβ1 and TGFβ2 levels were relatively
low in Flii heterozygous mice wounds but a high expression of TGFβ3 was observed.
Flii over-expressing mice wounds on the other hand had significantly higher TGFβ1
expression but lower TGFβ3 expression compared to Flii+/- wounds. These low TGFβ1
and TGFβ2 to high TGFβ3 levels are consistent with the in vitro Flii siRNA knockdown
results, which also showed lower levels of TGFβ1 and TGFβ2 to higher levels of TGFβ3.
Given this, it is most probable that the ratio of TGFβ1/TGFβ2 to TGFβ3 contributes to
the wound healing outcome observed in Flii+/- mice.
TGFβ is a double edge sword in the wound healing process which is required for the coordination of inflammatory cells, yet high levels of TGFβs cause excessive inflammation which contributes to undesirable scarring, a consequence of any adult
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wound healing process. This study now reveals that the relationship between Flii and
TGFβ expression and the effects on the outcome of wound healing in WT, Flii heterozygous and over-expressing mice.
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CHAPTER FOUR
Flii modulation of TGFβ expression is achieved by direct
association with proteins involved in the expression and
activity of TGFβ.
4.1 Introduction
4.1.1 Binding properties of Flii protein
The Flii protein consists of two distinct domains, an N-terminal LRR domain and a C- terminal gelsolin like domain which binds actin 93,103. The LRR domain is involved in protein recognition and is found in proteins with diverse cellular functions 197. The LRR domain therefore provides Flii with functions distinct from those of an actin remodeling protein. The capabilities of Flii as an interacting protein have been investigated and the results have implicated Flii in various cellular processes 180. Interestingly, many of these processes are involved in signal transduction and are regulated by direct interactions with the Flii protein. The first of these processes is the role of Flii as a co-activator in nuclear receptor signaling with estrogen and thyroid hormone receptor as well as transcription factors, CARM1 and GRIP1 have been identified as Flii binding partners
105. In addition, proinflammatory caspase-1 and caspase-11 have also been shown to
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interact with Flii 108. This finding suggests a role for Flii in the immune response.
Furthermore, Flii was also found to interact with MyD88 which is a modulator for Toll-
like Receptors (TLRs) involved in innate immune system 198. The interaction of Flii with
proteins involved in the cell cycle has also been reported. Using epitope-tag tandem mass spectrometry, Seward et al (2008) identified Flii as a binding partner of CaMK-II, a
protein kinase involved in cell cycle progression. Perhaps the most exciting of
interactions is the identification of Flii as a substrate of a cytokine-independent survival
kinase (CISK), a downstream target of phosphoinositol 3-kinase 107. This is the first
description of Flii as a substrate that can be post-translationally modified which further
implicates Flii involvement as a signaling molecule. While these studies did not specify
the binding site between Flii and other proteins, it is most likely mediated through the
LRR domain due to its protein recognition properties.
4.1.2 Properties of the LRR motif
The uniqueness of Flii in the gelsolin family of actin binding proteins is due to the
presence of a 16 tandem 23 amino acid LRR motif. Proteins containing LRR motifs have
diverse cellular localizations including extracellular, cytoplasmic, transmembrane and
nuclear localization. This is in addition to the extraordinary range of cellular functions
where LRR containing proteins are involved which includes receptor ligand binding,
signal transduction, cell adhesion, development, bacterial virulence, DNA repair and
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RNA processing 199. The underlying similarity between these functions is molecular recognition. The LRR motif allows for protein-protein interactions which can be direct like a ligand binding component or as a regulator that affects affinity or specificity of binding to a separate ligand binding site. Binding partners to LRR have been identified
103. Probably the most significant among the binding partners of Flii identified so far is the interaction of LRR with Ras proteins which suggest a role of Flii in a signaling pathway. Therefore, proteins with LRR motif such as Flii are indicative of a multifunctional protein that includes interaction with other proteins.
4.1.3 The relationship between Flii and TGFβ
TGFβ has major roles in many cellular processes including proliferation, differentiation and apoptosis, all of which are important coordination factors in determining the outcome of the wound healing process. Classical TGFβ signals are transduced by the phosphorylation of intracellular mediators, Smad 2 and Smad 3 by the TGFβ receptors
(TβRI and TβRII) 200. The receptor activated Smads then associate with Smad 4 to form a heteromeric complex and translocate into the nucleus where they target TGFβ inducible genes 201,202. The regulation of TGFβ signaling activity is highly complex and is inbuilt with multiple controls such as the binding of cFos and cJun (AP-1) proteins to its promoter. Two distinct sites of the TGFβ promoter are responsive to regulation by the
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AP-1 protein complex, one located at 5' upstream transcriptional start site and the other
one located between the two major start sites 203.
Instead of the classical TGFβ signaling pathway via the Smad proteins, TGFβ can also
signal independently via phosphotidylinositol 3-kinase (PI3K)/Akt, or various MAPK pathways 138,168,204. These alternate pathways act to provide additional layers of control to tightly regulate TGFβ activity. Therefore, the regulation of any of the proteins involved in the signaling pathway will affect the expression or the activity of TGFβ.
In the previous chapter, we have reported a link between TGFβ isoform expression and
wound healing in mice with varying amounts of Flii protein. Coupled with the protein
interacting capabilities of Flii protein, it is likely that Flii could be regulating TGFβ
expression and/or activity leading to a difference in the outcome of wound healing.
Therefore, we aimed to determine if Flii modulated TGFβ expression and/or signaling
by directly associating with TGFβs or its regulatory proteins.
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4.2 Materials and Methods
4.2.1 Cells, Cell Culture
All Human Foreskin Fibroblasts (HFFs) were cultured in Dulbecco’s modified Eagle’s
Medium (DMEM) supplemented with 10% fetal calf serum (FCS) and antibiotics (100U
penicillin and 100ug/500ml streptomycin). All cell cultures were incubated at 37°C and
5% CO2. All cells were serum starved in DMEM containing antibiotics for at least 3
hours or otherwise stated prior to experimenting.
4.2.2 Antibodies
Mouse monoclonal anti-Flii antibody (sc-21716), rabbit polyclonal anti-Flii (sc-30046), anti-TGFβ1 (sc-146), anti-cFos (sc-52), anti-cJun (sc-45), anti-Akt (sc-8312) and anti-pAkt
(sc-7985) antibodies were obtained from Santa Cruz Biotechnology (CA, USA). Rabbit polyclonal anti-TGFβ2 (AB-12-NA) and goat polyclonal anti-TGFβ3 (AB-244-NA) were obtained from R&D Systems (Minneapolis, USA). Mouse monoclonal anti-Gelsolin
(610413) was obtained from BD Biosciences Pharmigen. Biotinylated horse anti-mouse
IgG from Vector (Burlingane, CA), Streptavidin Alexa Fluor 555 (S32355) and goat anti- rabbit Alexa Fluor 488 (A11008) from Invitrogen (Oregon, USA) were used in this study.
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4.2.3 Immunocytochemistry
Cells were seeded at a density of 3 x 105 cells per well onto sterile glass coverslips and
placed in six well culture plates overnight. Cells were serum starved for 3 hours before
wounding. Cells were wounded using a P200 yellow pipette tip and incubated with growth media for a period of 30 minutes. This was followed by fixing cells with cold acetone for 10 seconds and placed back into 1x PBS containing six well plates. 1x PBS were used hereafter for every washes. 3% Normal Horse Serum (NHS) diluted in 1x
PBS were used to block cells for 30 minutes at room temperature before incubating with rabbit raised antibodies overnight at 4°C. Secondary anti-rabbit Alexa Fluor 488 were added after an initial wash for 1 hr in the dark at room temperature. This was then followed by incubating with mouse raised antibodies for 1 hr at room temperature. The respective biotinylated secondary antibodies were then added and the coverslips were incubated for 1 hr in the dark at room temperature. After this, the coverslips were incubated with streptavidin conjugated Alexa Fluor 555 for 1 hr in the dark at room temperature. DAPI was then added to the cells before a final wash and then mounted onto a microscope slide using DAKO mounting medium.
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4.2.4 Nuclear and cytoplasmic fractionation
Preparations of nuclear and cytoplasmic fractionates were done using a nuclear extract
kit (Active Motif, Cat#40010, California, USA) according to the manufacturer’s protocol.
In a tissue culture plate of area 75cm2, growth media was aspirated from plate and washed with 5ml of ice-cold 1 x PBS containing Phosphatase Inhibitors. The solution was then discarded and a further 3ml ice-cold PBS/Phosphatase Inhibitors was added.
Cells were then removed using a cell scraper and cell suspension transferred into a yellow cap centrifuge tube. This was followed by centrifuging cells at 500rpm at 4°C and cell pellet kept on ice. Supernatant was discarded. Cells were then resuspended with 500µl 1x Hypotonic Buffer and transferred into an eppendorf tube which was then incubated for 15mins on ice. 25µl of detergent was then added and mixed thoroughly using a vortex mixer. The suspension was then centrifuged for 30secs at 14,000g at 4°C and the cytoplasmic fraction (supernatant) was transferred into a fresh eppendorf tube which could be stored at -80°C. The nuclear pellet was then resuspended in 50µl of
Complete Lysis Buffer (provided by the manufacturer) and incubated for 30mins on ice.
This was followed by mixing for 30secs and was centrifuged for 10mins at 14,000g at
4°C. The nuclear fraction was then transferred into a fresh eppendorf tube and stored at
-80°C.
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4.2.5 Immunoprecipitation
Immunoprecipitation (IP) was used to investigate whether Flii directly interacts or associates with c-fos, c-jun, TGFβ1, TGFβ2, TGFβ, Akt, Smad 2/3 and Smad 7 in response to wounding. Nuclear and cytoplasmic fractions obtained were pre-cleared using Recombinant Protein G Agarose (Invitrogen, Cat#15920-010, Victoria, Australia) by adding 25µl rProtein G to 1ml of lysate and incubating for 10mins on a rocking platform at 4°C. rProtein G was prepared by washing stock twice in ice-cold 1x PBS prior to pre-clearing. The pre-cleared fractions were then divided into two parts of
250µl for the cytoplasmic fraction and 25µl for the nuclear fraction. Following this, 5µl of IP antibody was added to the cytoplasmic fraction and 2µl of IP antibody was added to the nuclear fraction. The samples were then incubated overnight at 4°C on a rocking platform. 50µl and 5µl of rProtein Agarose were added to the cytoplasmic and nuclear fraction respectively and incubated for a further 2 hours at 4°C on a rocking platform.
The fractions were washed 3 times with cold lysis buffer followed by centrifuging at
14,000g for 10secs and supernatant discarded. At the final wash, agarose beads were resuspended in 2x SDS Loading Buffer (25mM Tris pH 6.8, 8% Glycerol, 1%SDS and
0.02% Bromphenol blue) and were mixed thoroughly. The samples were then heated for
3mins at 95°C after which the samples were loaded onto a western gel.
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4.2.6 Western Blotting
Protein samples were equalized by dilution and heated at 95°C prior to electrophoresis.
Protein fractions were electrophoresed on a 10% separating (3.35ml 30% Acrylamide-Bis
Solution (37.5:1, 2.6% C, BioRad Laboratories, CA, USA), 1.25ml 3M Tris pH 8.9, 5.25ml distilled water, 125ul 10% SDS, 100ul Ammonium Persulfate (APS) and 6.25µl TEMED
(N,N,N’,N’ – Tetramethylethylene-diamine, Sigma Aldrich, Sydney, Australia)) and 4% stacking (0.5ml 30% Acrylamide, 0.276ml 0.5M Tris pH 6.8, 4.104ml distilled water, 50µl
10% SDS, 40ul 10 % APS and 4µl TEMED) SDS-PAGE gels at 100V for 90 mins and then transferred onto 0.2µm pore nitrocellulose membrane (Advantec MFS Inc, CA, USA) by wet transfer (Bio-Rad Laboratories, Regents Park, NSW, Australia) using standard wet transfer - Towbin’s buffer (25mM Tris, 192mM Glycine, 20% Methanol and 0.05% SDS) at 100V for 1 hour. Membranes were stained in Ponceau Red Stain (Sigma Aldrich,
Sydney, Australia) for 10mins and then destained in distilled water and washed in PBS
Tween (0.3% Tween/1x PBS). The gel was stained in Coomassie (Sigma Aldrich, Sydney,
Australia) for 30mins and destained in destaining solution (40% Methanol, 10% Acetic
Acid and 50% distilled water) overnight.
Membranes were blocked in 5% milk blocking buffer (5% skimmed milk powder and
0.3% Tween-20 diluted in 1x PBS) for 1 hour. Primary antibodies at 1µg/ml concentration and secondary antibodies at 1µg/ml concentration were used in all
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western blotting experiments. Primary antibodies were diluted in blocking buffer and
then added to the membrane and incubated overnight at 4°C. Stringent washes with
blocking buffer were performed every 15 minutes for an hour before appropriate
secondary antibodies conjugated with horse radish peroxidise (HRP) was added for 1
hour at room temperature. Washes were then performed before signal detection using
Super Signal West Femto Maximum Sensitivity Substrate (Pierce Biotechnology,
Rockford, USA) and signal capture using GeneSnap analysis program (Syngene,
Maryland, USA). Membranes were stripped and re-probed with β-tubulin (Sigma
Aldrich, Sydney, Australia) as a loading control.
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4.3 Results
4.3.1 Flii associates with c-Fos and c-Jun
Using immunofluorescence staining, the localization of Flii, c-Fos and c-Jun were all visualized in unwounded and wounded fibroblasts (Figure 4.1A-F). In unwounded cells, Flii staining was localized largely to the cytoplasm and the surrounding nuclear peripheral region (Figure 4.1A, D). Both c-Fos and c-Jun were predominantly localized in the cell nucleus and the nuclear periplasmic region (Figure 4.1 B, E). However, staining for c-Fos and c-Jun was also observed in the cytoplasm. Composite images of
Flii and c-Fos staining revealed co-localization of these two proteins in both the cytoplasm and the nucleus (Figure 4.1C). This was also similarly observed for Flii and c-
Jun (Figure 4.1F). Co-localization of Flii with c-Fos/c-Jun would suggest interactions between the proteins. To confirm this observation, Flii was co-immunoprecipitated with either c-Fos or c-Jun. In addition, cellular lysates were separated into two fractions, nuclear and cytoplasmic in order to determine in which fraction Flii interacts with c-Fos and c-Jun. Interestingly, Flii co-immunoprecipitated with both c-Fos and c-Jun (Figure
4.1G). The western band intensity in the nuclear fraction was observed to be stronger than the cytoplasmic fraction. This indicated that Flii interactions with c-Fos and c-Jun were higher in the nucleus than in the cytoplasm but it could also be due to the fact that more c-Fos and c-Jun proteins are present in the cell nucleus. Gelsolin which is a
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A Flii B c-Fos C Merge
D Flii E c-Jun F Merge
G Cytoplasmic Nuclear
c-Fos c-Jun IP: c-Fos c-Jun IP: WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
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Figure 4.1
Flii interacts with AP1 proteins, c-Fos and c-Jun. Dual immunofluorescence showing
protein localization of Flii and c-Fos/c-Jun. Red represents Flii staining (A, D). Green represents c-Fos and c-Jun staining (B, E). (C, F) and blue represents nuclear staining.
Merge images are composite images of Flii with c-Fos or c-Jun. Co-localizations in the cytoplasm are represented by areas of yellow color (arrow heads) stainings and nuclear co-localizations are represented by areas of pink color stainings (arrow). (G)
Immunoprecipitation showing association of Flii with c-Fos and c-Jun in cytoplasm and nucleus. n = 10. Scale bar = 50µ in (F).
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member in the same family as Flii did not co- immunoprecipitate indicating that interaction was specific to Flii.
4.3.2 Interactions of Flii with TGFβs
The localization of Flii and all three TGFβ isoforms were determined in unwounded
and wounded human foreskin fibroblasts (HFFs). Flii was localized predominantly in
the cytoplasm as well as the nuclear peripheral area in unwounded cells. In wounded
HFFs, translocation of Flii into the nucleus was observed, as indicated by localized
staining in the cell nucleus (Figure 4.2-4.7 A, D).
TGFβ1 staining was observed to be in the cytoplasm and nucleus in unwounded HFFs
(Figure 4.2B). Staining was however noted to be stronger in the cell nucleus (Figure
4.2B). In unwounded cells, co-localization between Flii and TGFβ1 was observed in both the cytoplasm as well as in the cell nucleus (Figure 4.2C). On the other hand, wounded cells showed predominant nuclear staining for both Flii and TGFβ1 as shown in Figure
4.2 D,E. However, staining for TGFβ1 was almost entirely nuclear which indicated that wounding caused the nuclear translocation of TGFβ1 (Figure 4.2E). In the composite images of wounded cells, strong co-localization of Flii and TGFβ1 proteins were clearly
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A Flii B TGFβ1 C Merge
Unwounded
D Flii E TGFβ1 F Merge
Wounded
G Unwounded Wounded (Cytoplasmic) (Cytoplasmic)
IP: TGFβ1 IP: TGFβ1
WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
H Unwounded Wounded (Nuclear) (Nuclear)
IP: TGFβ1 IP: TGFβ1
WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
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Figure 4.2
Flii interacts with TGFβ1. Dual immunofluorescence showing protein localization of Flii and TGFβ1. (A, D) Red represents Flii staining. (B, E) Green represents TGFβ1. (C, F)
Composite image showing co-localization represented in yellow. (G)
Immunoprecipitation showing association of Flii with TGFβ1 in cytoplasm. (H)
Immunoprecipitation showing association of Flii with TGFβ1 in nucleus in unwounded and wounded cells. n = 10. Scale bar = 50µ in (F).
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observed (Figure 4.2F). However, unlike the unwounded cells, Flii was observed to be
strongly co-localized to TGFβ1 in the nucleus with little to no co-localization in the
cytoplasm (Figure 4.2F).
To support the co-localization of Flii and TGFβ1 observations, cellular
immunoprecipitation was done. Immunoprecipitation of Flii with TGFβ1 indicated that
Flii does associate with TGFβ1, particularly in the response to wounding. Indeed, Flii
was found to immunoprecipitate with TGFβ1 in a manner consistent with previous
immunofluorescence results (Figure 4.2A-F). Flii immunoprecipitated weakly with
TGFβ1 in the cytoplasmic fractions of unwounded cells indicating the interactions of
Flii and TGFβ1 in the cytoplasm (Figure 4.2G). Wounding did not appear to increase
immunoprecipitation of Flii with TGFβ1 (Figure 4.2G). In fact, Flii co-
immunoprecipitation with TGFβ1 was not detectable. In the nuclear fractions of
unwounded cells, co-immunoprecipitation of Flii with TGFβ1 was detected in small
quantities (Figure 4.2H). This indicated that Flii also interacts with TGFβ1 in the nucleus
of unwounded cells. However, strong co-immunoprecipitation of Flii with TGFβ1 was
detected in the nuclear fraction of wounded cells (Figure 4.2H). This suggests that Flii interacts strongly with TGFβ1 in the nucleus in response to wounding.
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Flii association with TGFβ2 was similar to TGFβ1. Localization of TGFβ2 in unwounded
HFFs was predominantly localized to the cytoplasm and the nuclear periplasmic region
(Figure 4.3B). Similarly, in response to wounding, TGFβ2 was observed to translocate
into the nucleus (Figure 4.3E). In unwounded cells, Flii co-localized with TGFβ2 mainly in the cytoplasm but co-localization was also observed in the nucleus. Upon wounding however, Flii co-localized strongly to TGFβ2 in the nucleus where both proteins were clearly present (Figure 4.3F). These observations were supported by the immunoprecipitation results (Figure 4.3G, H). Flii co-immunoprecipitated with TGFβ2 in the unwounded cytoplasmic fraction but upon wounding, less association with
TGFβ2 occurred in the cytoplasm (Figure 4.3G) due to the nuclear translocation of both proteins. Furthermore, Flii did not co-immunoprecipitate with TGFβ2 in unwounded nuclear fractions. However, as clearly shown in figure 4.3H, Flii strongly co- immunoprecipitated with TGFβ2 in the wounded nuclear fraction suggesting interaction in the cell nucleus.
A similar result was also observed with TGFβ3. Staining for TGFβ3 was observed to be present in both the cytoplasm and the cell nucleus (Figure 4.4B). Co-localization of Flii and TGFβ3 in unwounded cells was observed predominantly in the cytoplasm (Figure
4.4C). Nuclear co-localization of Flii and TGFβ3 were also observed. Wounding caused a shift in localization of TGFβ3 and Flii where staining for both proteins showed weak
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A Flii B TGFβ2 C Merge
Unwounded
D Flii E TGFβ2 F Merge
Wounded
G Unwounded Wounded (Cytoplasmic) (Cytoplasmic)
IP: TGFβ2 IP: TGFβ2 WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
H Unwounded Wounded (Nuclear) (Nuclear)
IP: IP: TGFβ2 TGFβ2 WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
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Figure 4.3
Flii associates with TGFβ2. Dual immunofluorescence showing protein localization of
Flii and TGFβ2. (A, D) Red represents Flii staining. (B, E) Green represents TGFβ2. (C,
F) Composite image showing co-localization represented in yellow. (G)
Immunoprecipitation showing association of Flii with TGFβ2 in cytoplasm. (H)
Immunoprecipitation showing association of Flii with TGFβ2 in nucleus in unwounded and wounded cells. n = 10. Scale bar = 50µm in (F).
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A Flii B TGFβ3 C Merge
Unwounded
D Flii E TGFβ3 F Merge
Wounded
G Unwounded Wounded (Cytoplasmic) (Cytoplasmic)
IP: TGFβ3 IP: TGFβ3
WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
H Unwounded Wounded (Nuclear) (Nuclear)
IP: TGFβ3 IP: TGFβ3 WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
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Figure 4.4
Flii interacts with TGFβ3. Dual immunofluorescence showing protein localization of Flii and TGFβ3. (A, D) Red represents Flii staining. (B, E) Green represents TGFβ3. (C, F)
Composite image showing co-localization represented in yellow. (G)
Immunoprecipitation showing association of Flii with TGFβ3 in cytoplasm. (H)
Immunoprecipitation showing association of Flii with TGFβ3 in nucleus in unwounded and wounded cells. n = 10. Scale bar = 50µm in (F).
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staining in the cytoplasm whereas strong staining was observed in the cell nucleus
(Figure 4.4D, E). This indicated that both TGFβ3 and Flii translocates into the cell nucleus in response to wounding. As a result, co-localization of Flii and TGFβ3 could be clearly observed in the nucleus of wounded cells (Figure 4.4F). In agreement with the immunofluorescent results, Flii co-immunoprecipitated with TGFβ3 in the unwounded cytoplasmic fraction (Figure 4.4G). In wounded cell cytoplasmic fractions, Flii co- immunoprecipitated weakly with TGFβ3. Flii co-immunoprecipitation with TGFβ3 was also minimal in unwounded nuclear fractions but interaction between the two proteins increased significantly in response to wounding. This result reflects the observation in
Figure 4.4F where both proteins translocate into the cell nucleus in response to wounding.
4.3.3 Flii interacts with nuclear Akt in wounded cells
Akt is also an important signaling molecule involved in intracellular signaling of
TGFβs. To determine if Flii associates with Akt, co-localization and immunoprecipitation studies were performed. Flii staining was predominantly cytoplasmic in unwounded cells (Figure 4.5A). Immunofluorescent staining showed
Akt to be present in both the cell cytoplasm and nucleus in unwounded fibroblasts
(Figure 4.5B). Composite images of Flii and Akt showed co-localization of the two
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A Flii B Akt C Merge
Unwounded
D Flii E Akt F Merge
Wounded
G Unwounded Wounded (Cytoplasmic) (Cytoplasmic)
IP: Akt IP: Akt
WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
H Unwounded Wounded (Nuclear) (Nuclear)
IP: Akt IP: Akt
WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
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Figure 4.5
Flii interacts with Akt. Dual immunofluorescence showing protein localization of Flii and Akt. (A, D) Red represents Flii staining. (B, E) Green represents Akt. (C, F)
Composite image showing co-localization represented in yellow. (G)
Immunoprecipitation showing association of Flii with Akt in cytoplasm. (H)
Immunoprecipitation showing association of Flii with Akt in nucleus in unwounded and wounded cells. n = 10. Scale bar = 50µm in (F).
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proteins in the cytoplasm of unwounded cells (Figure 4.5C). Although co-localization
was observed between Flii and Akt, the immunoprecipitation results suggest they do
not interact. No interactions between Flii and Akt were detected in the cytoplasmic and
nuclear fractions of unwounded cells (Figure 4.5G, H) indicating that Flii and Akt have
no direct interaction between them in unwounded cells.
Akt was also observed in the nucleus and cytoplasm in response to wounding (Figure
4.5E). Nuclear Akt staining appeared to be much more defined than in unwounded
cells. Composite images of Flii and Akt showed co-localization in both the nucleus and
also the cytoplasm of wounded cells. However, co-immunoprecipitation results showed
that Flii co-immunoprecipitated with Akt only in the nuclear fractions and not the cytoplasmic fractions of wounded cells indicating a nuclear association of Flii with Akt.
4.3.4 Flii associates with Smad proteins
Smad proteins are important molecules involved in TGFβ downstream signaling. Here,
Smad 2/3 and Smad 7 protein localization and any possible interactions with Flii were
investigated. Staining for Flii protein in unwounded cells was consistently localized to
the cytoplasm with some staining observed in the cell nucleus (Figure 4.6B).
Immunofluorescence staining for Smad 2/3 in unwounded cells showed localization of
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A Flii B Smad 2/3 C Merge
Unwounded
D Flii E Smad 2/3 F Merge
Wounded
G Unwounded Wounded (Cytoplasmic) (Cytoplasmic)
IP: Smad 2/3 IP: Smad 2/3
WB: WB: Flii (145kDa) Flii (145kDa) WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
H Unwounded Wounded (Nuclear) (Nuclear)
IP: IP: Smad 2/3 Smad 2/3
WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
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Figure 4.6
Flii interacts with Smad 2/3. Dual immunofluorescence showing protein localization of
Flii and Smad 2/3. (A, D) Red represents Flii staining. (B, E) Green represents Smad2/3.
(C, F) Composite image showing co-localization represented in yellow. (G)
Immunoprecipitation showing association of Flii with Smad 2/3 in cytoplasm. (H)
Immunoprecipitation showing association of Flii with Smad 2/3 in nucleus in unwounded and wounded cells. n = 10. Scale bar = 50µm in (F).
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cytoplasmic Smad 2/3 at the nuclear peripheral region. Strong Smad 2/3 staining was
also observed in the cell nucleus. Composite images revealed co-localization of Flii and
Smad 2/3 in the nuclear peripheral region of the cytoplasm in unwounded cells (Figure
4.6C). Some co-localization was also detected in the nucleus, indicating possible Flii
interactions with Smad 2/3 protein. This is consistent with the immunoprecipitation
results that showed immunoprecipitation of Flii with Smad 2/3 in both the cytoplasmic
and nuclear fractions of unwounded cells.
Wounding causes translocation of Flii protein into the cell nucleus as observed
consistently (Figure 4.6D). In wounded cells, no significant differences in Smad 2/3 localization were observed (Figure 4.6E). Smad 2/3 was still detected in both the cytoplasm and the nucleus. Composite images of Flii and Smad 2/3 showed co- localization between these two proteins in both the cytoplasm as well as in the cell nucleus (Figure 4.6F). This observation is consistent with results from the immunoprecipitation experiments. In wounded cells, Flii co-immunoprecipitated with
Smad 2/3 in both the cytoplasmic and nuclear fractions. However, stronger Flii co- immunoprecipitation with Smad 2/3 was detected in nuclear fractions of wounded cells, which indicated that Flii interacts with Smad 2/3 more strongly in response to wounding. Interestingly, in Smad pull-down results, gelsolin was found to co- immunoprecipitate with both Smad 2/3. More specifically, gelsolin was found to co-
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immunoprecipitate with Smad 2/3 in either the cytoplasm of unwounded cells or in the
nucleus of wounded cells (Figure 4.6G, H).
Immunofluorescence for Smad 7 showed staining in both the cytoplasm and nucleus of
the cell. It was noted that strong Smad 7 staining was observed to be localized to the
nuclear peripheral space just surrounding approximately half the nuclear circumference
(Figure 4.7B). Flii staining was consistently observed to be predominantly cytoplasmic
with some staining observed in the cell nucleus (Figure 4.7A). Small amounts of Flii and
Smad 7 co-localization were observed in the region surrounding the nucleus (Figure
4.7C). This suggests that Flii may be interacting with Smad 7 in these locations. Gelsolin
interaction with Smad 7 on the other hand was evident in the nuclear fractionates of
unwounded cells (Figure 4.7H). In contrast, gelsolin did not co-immunoprecipitate with
any of the AP-1 proteins, TGFβs or Akt. However, the amount of co- immunoprecipitates were fairly low suggesting that only a limited amount of gelsolin was interacting with Smad 2/3 and Smad 7 under the described conditions.
Upon wounding, it was observed that most Smad 7 proteins were localized in and
around the cell nucleus (Figure 4.7E) which coincided with the nuclear translocation of
Flii. As a result, co-localization between Flii and Smad 7 were observed strongly in the
cell nucleus (Figure 4.7F). Cytoplasmic co-localization was also observed, which
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A Flii B Smad 7 C Merge
Unwounded
D Flii E Smad 7 F Merge
Wounded
G Unwounded Wounded (Cytoplasmic) (Cytoplasmic)
IP: Smad 7 IP: Smad 7
WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
H Unwounded Wounded (Nuclear) (Nuclear)
IP: Smad 7 IP: Smad 7
WB: WB: Flii (145kDa) Flii (145kDa)
WB: WB: Gelsolin (88kDa) Gelsolin (88kDa)
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Figure 4.7
Flii interacts with Smad 7. Dual immunofluorescence showing protein localization of
Flii and Smad 7. (A, D) Red represents Flii staining. (B, E) Green represents Smad 7. (C,
F) Composite image showing co-localization represented in yellow. (G)
Immunoprecipitation showing association of Flii with Smad 7 in cytoplasm. (H)
Immunoprecipitation showing association of Flii with Smad 7 in nucleus in unwounded and wounded cells. n = 10. Scale bar = 50µm in (F).
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suggests interaction of Flii with Smad 7 in both the cytoplasm and the nucleus.
Cytoplasmic interaction was confirmed as Flii co-immunoprecipitated with Smad 7 in both wounded and unwounded cells Figure 4.7G). Nuclear association of Flii and Smad
7 was also observed but the amount of Flii co-immunoprecipitates was almost negligible.
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4.4 Discussion
The spatial and often transitory coordination of cytokines such as TGFβs are central to
the wound healing process and the outcome of wound repair. These mechanisms of
TGFβ signaling coordination are unclear. However, it is accepted that these processes
are controlled by complicated extracellular and intracellular signaling pathways in a
range of different cell types including fibroblasts. There are 3 isoforms of TGFβ in
mammals, all of which have a distinct role during the process of wound healing. It is clear that the regulation of specific TGFβ isoforms have to be optimal to ensure the best outcome of wound healing 116,117,120,121. The previous chapter has shown that wounds
with differential Flii gene expression levels have varying amounts of TGFβ expression.
In this chapter, the effect of wounding on Flii association with TGFβs and their
signaling molecules was investigated. The Flii protein consists of a C-terminal LRR motif allowing interactions with other proteins 102. Therefore, it was hypothesized that
Flii may be able to directly interact with TGFβs to modulate its expression or activity.
Here, we have shown that Flii not only associates with TGFβs but also proteins
involved in the regulation of expression and downstream activity of TGFβ.
Flii translocation into the cell nucleus has previously been reported with various stimuli
such as the addition of fetal calf serum or the presence of steroid hormones 109,188.
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Immunofluorescent staining of Flii in this chapter has shown that wounding of human
foreskin fibroblasts (HFFs) in vitro also results in a similar nuclear translocation response. This indicates that Flii has functions other than just as an actin remodeling protein. It also further implicates Flii in nuclear functions. In fact, Flii has been identified as a nuclear co-activator involved in nuclear receptor signaling for thyroid
and estrogen hormone receptors 81. In the nucleus, Flii was shown to interact directly
with nuclear receptors and their co-activators, CARM1 and CBP (p300) through GRIP1
(Figure 1) 105,106. Other members of the gelsolin family, including gelsolin 81 and
supervillin 176,177 have also been identified as nuclear receptor co-activators. In response to wounding, Flii may also have co-activating roles in the nucleus.
This study has shown that Flii associates with AP-1 proteins, c-Fos and c-Jun. Since AP-
1 proteins bind to the promoter of TGFβs to regulate its expression, interactions with
Flii could be one way that Flii may affect TGFβ gene expression. As the β-ZIP region of c-Jun interacts directly with CBP which leads to transactivation 205, it is therefore
possible that Flii may interact with c-Fos and c-Jun and/or other co-activator complexes including CBP on TGFβ promoter to modulate TGFβ expression. It is important to note that TGFβs can also regulate the expression of AP-1 proteins 206. Considering that the
expression of both TGFβ and AP-1 proteins are involved in feedback loops that
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Brg1 ATPase CARM1 Arp4 Methyl Actin Helicase Flii LRR Flii Gelsolin GRIP1 CBP (p300) Domain Domain (p160)
Acetyl NR NR Histone DNA H3
NR Response Element
Figure 1
Theoretical depiction of Flii interactions on a NR responsive gene promoter. Enzymatic activities are indicated by the arrows. NR denotes nuclear receptor. The complex depicted is theoretical since interactions are not necessary simultaneous.
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indirectly regulate one another’s expression, Flii association with TGFβs was also determined. Direct association of Flii with TGFβs would suggest that Flii could either positively or negatively regulate the activities of TGFβ. Indeed, Flii association with all three TGFβ isoforms were detected throughout the cell. The detection of nuclear TGFβs in this study was unexpected since TGFβs are molecules which bind to receptors that transduce signals to the cell nucleus. However, nuclear TGFβs has been reported to be present in the cell nucleus 207. Therefore, the finding of nuclear TGFβ is specific and not likely an experimental artifact. Interestingly, Flii was found to interact strongly with all isoforms of TGFβ in the nucleus of wounded HFFs. The role of Flii and TGFβ nuclear interactions remains unknown but it suggests a possible regulation mechanism by Flii.
Given this, Flii interaction with TGFβ may function as another level of control during the signaling process which also suggests that the activity of TGFβ may be directly regulated by Flii.
To further investigate the effects of Flii on TGFβ functions, Smad proteins were investigated as these are the downstream signaling molecules that transduce TGFβ signals. Smad 2/3 is activated following phosphorylation by TGFβ bound receptors and consequently complexes with Smad 4 to translocate into the nucleus 134. This process is regulated by inhibitory Smad 7 which prevents the activation of Smad 2/3, thereby
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arresting the signaling pathway 208. Flii association with Smad 2/3 was detected in both
wounded and unwounded cells. In fact, most association between Flii and Smad 2/3
occurred in the nucleus of wounded cells. Since Smad 2/3 function as co-activators in the cell nucleus, it is logical that if Flii has co-activating roles in wound healing that it interacts with nuclear Smad 2/3 to regulate TGFβ induced signaling.
It has been shown that Smad 2 and Smad 3 interact with proteins containing LRR 209.
One of the proteins, Erbin (ErbB2/Her2-interacting protein), a regulator of tyrosine
kinase function has been shown to directly interact with Smad 2 and Smad 3 proteins
210,211. Dai et al (2007) have reported that Erbin inhibits TGFβ signaling by physically
sequestering Smad 2/3 from their association with Smad 4. As a result, Erbin negatively
regulates the downstream TGFβ signaling pathway, thereby affecting transcriptional
responses. Considering that Flii contains 16 tandem LRR motifs and also interacts with
Smad 2/3, it is tempting to speculate that Flii may function to affect TGFβ signaling in a
similar fashion as Erbin. In other words, the nuclear interactions between Flii and Smad
2/3 in wounded HFFs may also sequester Smad 2/3 from Smad 4 therefore preventing
Smad 4 association with other transcriptional factors and inhibiting target gene
expression. This may also explain why most association was detected in the nucleus of
wounded cells.
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On the other hand, Flii association with Smad 7 was also detected in low quantities in both the cell cytoplasm and nucleus. Nuclear interactions between Flii and Smad 7 were almost negligible which is expected because Smad 7 mostly functions as a cytoplasmic inhibitory protein. This does not imply that Smad 7 is an exclusively cytoplasmic protein as studies have shown localization of Smad 7 in the cell nucleus as well as the presence of a nuclear localization signal domain 208,212. The lack of interactions between
Flii and Smad 7 compared to Smad 2/3 would suggest that the regulation of TGFβ by
Flii is most likely to be in the nucleus where Flii co-activate gene transcription with
Smad 2/3 for cellular growth rather than the regulation by sequestering or activating inhibitory Smad 7.
Flii association with Akt was also investigated in this study due to the convergence of the map kinase and TGFβ signaling pathways 213,214. In addition, Akt is also able to regulate TGFβ signaling by physically binding and activating Smad 2/3 through the map kinase signaling pathway, which then enables Smad 2/3 to form complexes and target response genes 215,216. In this study, Flii was found to associate with Akt only in the nucleus of wounded cells. No interaction between Flii and Akt was detected in the cytoplasm of wounded cells or in the cytoplasm and nucleus of unwounded cells. The specificity of Flii and Akt interaction in the cell nucleus would imply a unique role for
Flii in Akt function such as cellular survival or the regulation of the cell cycle 217-219. This
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result further strengthens Flii function in cellular signaling. Taken together, the results
indicated that Flii may have roles as a modulator in the TGFβ signaling pathway.
In summary, the novel findings of Flii interaction with multiple proteins involved in
TGFβ expression and activity indicated a mechanistic role for Flii in TGFβ regulation. In
the present study, Flii interacting proteins including c-Fos and c-Jun, TGFβ1, TGFβ2,
TGFβ3, Smad 2/3, Smad 7 and Akt were identified. These proteins are all regulatory
“check-points” which determine the effects of TGFβ. It is also interesting to see that these interactions occur most strongly in the nucleus of wounded cells. These findings
provided a clue in the regulation of TGFβ by Flii in the cell nucleus. Therefore, it is
likely that Flii may either act as a nuclear repressor or as a co-activator to influence the
activity of TGFβ on target gene expression. The underlying mechanism of TGFβ
regulation by Flii remains unclear and will be investigated further in the next chapter.
Nevertheless, Flii may regulate wound repair directly through its interaction with TGFβ
or the TGFβ regulatory proteins which include the AP-1 proteins, Akt and Smads.
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CHAPTER FIVE
Regulation of TGFβ by Flii association with the MAPK
signaling pathway
5.1 Introduction
5.1.1 Interaction of Flii with Ras GTPases
The LRR motif in Flii is similar to a subgroup of LRR containing proteins that interacts
with Ras ligands 197. Among these proteins are human and mouse Rsp-1 involved in
suppressing v-Ras transformation of cells and the membrane associated yeast
(Saccharomyces cerevisae) adenylate cyclase in which LRR motifs are a prerequisite for
interaction with Ras proteins. Interestingly, the Flii LRR motif has approximately 35%
identity and 53% similarity to Rsp-1 220. Taken together, there is a strong possibility that
Flii may resemble Rsp-1 and have similar roles in Ras signal transduction 199. An
interaction between Flii and Ras was first identified in migrating Swiss 3T3 fibroblast 109.
In addition to Ras, other small GTPases that interact with Flii were also identified,
which includes RhoA and Cdc42. Coupled with the fact that phosphoinositide 3-kinase
can regulate gelsolin and other actin binding proteins, Flii may be involved in signaling
pathways. This is likely given that Ras is a part of the MAPK network and therefore
interaction with Ras could affect MAPK signaling networks.
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The finding that Flii can act as a signaling molecule has only been discovered recently
and Flii has been implicated in various signaling processes such as co-activating nuclear hormone receptors, inflammation and cell survival, which affects wound healing 82,107,108.
Current research activity is centered on Flii capabilities of interaction with other
proteins through its LRR domain to affect target gene responses 105,107,198. Similarly,
previous chapters have shown direct interactions between Flii and TGFβ as well as
proteins involved in TGFβ signaling pathways, therefore implicating Flii in the
regulation of TGFβ expression. It is yet to be established how Flii is integrated into the
signaling networks of TGFβ. There are multiple signaling pathways that can affect
TGFβ signaling in mammalian cells, including the MAPK signaling pathway 120,221.
Previous findings on Flii interaction with Ras proteins suggest that Flii is linked to the
MAPK signaling pathway 109. This chapter investigates the underlying mechanism of
Flii regulation of TGFβ in more depth by using MAPK inhibitors in cells derived from
WT, Flii+/- and FliiTg/+ mice.
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5.2 Materials and Methods
5.2.1 siRNA knockdown
HFFs were seeded into 6 well tissue culture plates and cultured overnight to achieve
30% to 50% confluence at time of transfection. Sequence of Flii siRNA are as follows;
forward: 5’-GCU GGA ACA CUU GUC UGU GTT-3’, reverse: 5’-CAC AGA CAA GUG
UUC CAG CTT-3’ 105. siRNA were transfected into the cells using Lipofectamine 2000
(Invitrogen, Carlsbad, USA). Both siRNA and Lipofectamine 2000 were diluted in Opti-
MEM I Reduced Serum Medium (Invitrogen, Carlsbad, USA). 250µl of siRNA
(optimized to 100nM per well) was mixed with 4µg of Lipofectamine 2000 diluted in
250µl Opti-MEM and were allowed to complex at room temperature for 20 minutes.
500µl of siRNA:Lipofectamine 2000 complex was then added to each well, mixed and
cells incubated for 6 hours before replacing transfection media with DMEM containing
10% FCS only. Cells were incubated for 48 hours prior to gene knockdown assessment.
5.2.2 RNA extraction
RNA was extracted from Human Foreskin Fibroblasts. RNA extraction from cell
cultures only required scraping cells from culture flasks after adding Trizol Reagent
(Invitrogen, Victoria, Australia). Samples were transferred into fresh eppendorf tubes
and centrifuged at 12,000g at 4°C for 10mins to remove cell debris. The samples were
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incubated for 5mins at room temperature before adding 200µl of chloroform to each
tube and were mixed thoroughly by hand for 15secs. The samples were kept at room
temperature for 3mins and centrifuged at 12,000g for 15mins at 4°C. The aqueous phase
containing RNA was transferred into a fresh tube and 500µl of isopropanol added to
precipitate the RNA. The samples were then incubated at room temperature for 10mins
before centrifuging at 12,000g for 10mins at 4°C. The supernatant was discarded and the
residual pellet washed with 1ml of 75% ethanol. Finally, samples were centrifuged at
7500g for 5mins at 4°C and supernatant discarded. The pellet was dried and re- dissolved in 50µl DEPC water.
5.2.3 DNase Treatment and RNA Quantitation
RNA samples obtained were subjected to DNA-free DNase Treatment and Removal Kit
(Ambion, TX, USA) as instructed by the manufacturer to remove any contaminating
genomic DNA. Firstly, RNA samples were treated with 0.1 volume of 10x DNase Buffer
and 1µl of rDNase I and incubated at 37°C for 30mins. Following this, 0.1 volume of
DNAse Inactivating Reagent was added to the samples and incubated at 2mins at room
temperature with occasional mixing. The samples were then centrifuged at 10,000g for
90secs and supernatant transferred to fresh tubes. RNA was quantitated by diluting 1 in
20 with RNase free water and 100µl duplicates were quantified using a Pharmacia
Biotech GeneQuant RNA/DNA Calculator using RNase-free water as a blank.
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Absorbance at 260nm and 280nm were measured that quantify RNA absorbance as
µg/µl concentration. Purity of RNA was confirmed by the A260/A280 ratio and a value between 1.7 to 2.0 indicates good RNA quality.
5.2.4 Complementary Deoxyribonucleic Acid (cDNA) Synthesis cDNA was synthesized from RNA using reverse transcription. Each reaction contains
1µg of RNA with 4µl 2.5µM dNTPs (dATP, dCTP, dGTP and dTTP, 100mM each,
Promega, WI, USA) and 2µl Oligo(dt)12-18 Primer (25µg at 0.5µg/µl, Invitrogen, Victoria,
Australia). This was heated at 85°C for 3mins and placed in ice immediately. 2µl 10x
Stratascript Buffer (Stratagene, Epson, UK), 1µl RNasin (Promega, WI, USA) and 1µl
Stratascript Reverse Transcriptase (Stratagene, Epson, UK) were added to the mixture and heated at 42°C for 60mins followed by 92°C for 10mins before cooling it down on ice. A control sample was prepared with the reagents above with the exclusion of reverse transcriptase for use in the Real-Time quantitative-Polymerase Chain Reaction
(RTq-PCR) as a negative control.
5.2.5 Real-Time quantitative-Polymerase Chain Reaction (RTq-PCR)
Each PCR reaction tube containing cDNA was set up to a final concentration of 1x SYBR
Green, 1x Amplitaq PCR buffer, 3mM MgCl2, 5mM dNTPs, 0.9µM primers (forward
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and reverse), 1.25 Units of Amplitaq Gold DNA polymerase in 25µl of H2O. Primer sequences used in this chapter is shown in Table 3.2. The cycle conditions are as follows; an initial denaturation at 95°C for 15 minutes, 35 cycles of 95°C for 25 seconds, 60°C for
30 seconds, 72°C for 30 seconds and at the final cycle, an additional 5 minutes at 72°C before a melt from 72°C to 99°C at 30 seconds at each degree step. Refer to Table 1 for primer sequence.
5.2.6 Primary Fibroblast Extraction and Culture
Refer to Section 3.3.1 – 3.3.4 for information on the generation of Flii+/- and FliiTg/+ mice
and ethics for surgery to obtain skin biopsies. Full thickness unwounded skin was
removed from the dorsum of WT, Flii+/- and FliiTg/+ mice and placed separately in ice-
cold Ham’s Nutrient Mixture F12 cell media (SAFC Biosciences, Kansas, USA)
supplemented with 5% Penicillin Streptomycin (Sigma Aldrich, Sydney, Australia), 5%
Fungizone (Sigma Aldrich, Sydney, Australia). 2mm punch biopsies (Acupunch,
ACUDERM) were then taken and fixed dermal side down onto 6 well tissue culture
plates. 4 punch biopsies were seeded per well. The explants were allowed to air-dry for
at least 30 minutes until attached firmly to the culture wells. The explants were then
cultured in DMEM cell culture media containing 20% FCS, 5% Penicillin Streptomycin,
5% Fungizone at 37°C and 5% CO2. Culture media was replaced 24 hours later and then
every two days. Fibroblasts outgrowth was observed after two days. The explants were
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Forward or Primer Reverse Sequence 5' - 3' forward CCT CCT ACA GCT AGC AGG TTA TCA AC Flii reverse GCA TGT GCT GGA TAT ATA CCT GGC AG forward CAG ACA GCC CCT GCC AGC ACC C Gelsolin reverse GAG TTC AGT GCA CCA GCC TTA GGC forward GGT TGG ATG GCA AGC ATG TG Cyclophillin A reverse TGC TGG TCT TGC CAT TCC TG forward CTA CGA GGC GTC ATC CTC CCG c-Fos reverse AGC TCC CTC CGG TTG CGG CAT forward GAA ACG ACC TTC TAT GAC GAT GCC CTC AA c-Jun reverse GAA CCC CTC CTG CTC ATC TGT CAC GTT CTT forward GTT GGA CGA GCT GGA GAA GG Smad 3 reverse TGC TGT GGT TCA TCT GGT GG forward ACG GCC ATC TTC AGC ACC AC Smad 4 reverse AGA ATG CAC AAT CGC CGG AG forward GCT CAC GCA CTC GGT GCT CA Smad 7 reverse CCA GGC TCC AGA AGA AGT TG
Table 1
Primer sequence used in RT-qPCR.
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removed from the wells at day 7 and the primary fibroblasts were allowed to close the
gap where the explants originally occupy. At 90% cell confluence, the fibroblasts were
washed twice using sterile 1X PBS and trypsinized with 1X Trypsin diluted in DMEM.
The fibroblasts were then seeded into 75cm2 tissue culture flasks (3 wells to 1 flask) and
cultured to confluence in 20% FCS DMEM cell culture media stated above. This would
be the primary cell stocks and were used to propagate fibroblasts population until
passage 10.
5.2.7 Immunocytochemistry
Primary WT, Flii+/- and FliiTg/+ fibroblasts were seeded at a density of 3 x 105 cells per
well onto sterile glass coverslips and placed in six well culture plates overnight. Cells
were serum starved for 3 hours followed by fixing cells with cold acetone for 10 seconds
and placed back into 1x PBS containing six well plates. Washes were performed after
every treatments using 1x PBS. 3% Normal Horse Serum (NHS) diluted in 1x PBS were
used to block cells for 30 minutes at room temperature before incubating with anti α-
SMA antibodies (1:200 dilution) overnight at 4°C. Secondary biotinylated anti-mouse was then added at a dilution of 1:1000 for 1 hr in the dark at room temperature. After this, streptavidin conjugated Alexa Fluor 555 at 1:200 dilution was added for 1 hr in the dark at room temperature. DAPI was added to the cells at 1:1000 dilution before a final wash and then mounted onto a microscope slide using DAKO mounting medium.
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5.2.8 Collagen Secretion Assay
Collagen secretion in WT, Flii+/- and FliiTg/+ explants and primary fibroblasts were
quantitated using Sircol Collagen Assay Kit according to the manufacturer’s protocols.
Spent media collected from confluent cell samples were centrifuged at 15,000 x g for 30
minutes and supernatant collected to remove any cell debris. A standard curve
containing 0, 50, 125 and 250µg/ml of collagen and test samples were prepared. 1ml of
Sircol dye reagent was added to all samples and mixed thoroughly before incubating at
room temperature for 30 minutes on an orbital rotator. This was followed by
centrifuging at 12,000 x g for 10 minutes at room temperature and supernatant
discarded after centrifugation. 1ml of Alkali reagent was added and mixed thoroughly
to completely dissolve the pellet. Sample volumes of 200µl were transferred to 96
microplate wells and absorbance measured at 540nm.
5.2.9 Proliferation Assay
WST-1 proliferation reagent (Cayman Chemical, WI, USA) was used to assess the rate of
proliferation of primary cell cultures. This is a tetrazolium salt based reagent that converts to soluble formazan by dividing cells therefore directly correlates to cellular
metabolic activity and their proliferation rate. Primary WT, Flii+/- and FliiTg/+ fibroblasts
were seeded into 96-well microtitre plates at a density of 105 cells per well in 100µl of
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10%FCS DMEM with antibiotics. Cells were then incubated at 37°C CO2 incubator
overnight and serum starved for 3 hours the following day. Cells were then treated with
1000pg/ml of TGFβ1 or MAPK inhibitors (50µM), UO126, PD98059, SP600125 or PI3K
inhibitor, LY694002 and incubated for 48 hours and assayed by adding 10µl of WST-1 reagent and mixed thoroughly for 1 min on an orbital shaker. The cells were then incubated at 37°C for 1 hour as per manufacturer’s protocol before measuring dual absorbance at 450nm and 600nm on a Tecan microplate reader. Results are normalized to the untreated control sample and expressed as a percentage.
5.2.10 Fibroblast Outgrowth Assay
2mm punch biopsies from WT, Flii+/- and FliiTg/+mice skin were collected as described in
Primary Fibroblast Preparation and Culture. 2 biopsies were seeded into each well of a
12 well culture plate and cultured in DMEM supplemented with 20% FCS, 5% Penicillin
Streptomycin, 5% Fungizone at 37°C and 5% CO2 overnight. After the initial overnight
incubation, treatments were added to the explants. 1000pg/ml of TGFβ and/or 50µM of
MAPK inhibitors were added to the explants. Cellular growth media including
treatments were replaced every second day. Random photographs were taken, 3 images
per explant, 9 explants per treatment group per mice group on a daily basis until day 6
where the farthest outgrowth is just within the field of view. Proximal outgrowth
distance was measured and recorded using AnalySIS software.
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5.2.11 Statistical Analysis
All statistical differences were determined using the Student’s t-test or ANOVA. P value of less than 0.05 was considered significant.
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5.3 Results
5.3.1 Flii gene knockdown affects expression of AP-1 and Smad proteins
To substantiate that Flii can regulate TGFβs, Flii knockdown was performed and expression of TGFβ related genes such as cFos, cJun, Smad 3, Smad 4 and Smad 7 were determined. Flii gene expression was knocked down using Flii specific siRNA in normal human foreskin fibroblasts (HFFs). Expression was then quantitated using real- time quantitative polymerase chain reaction. Flii gene expression levels after knockdown were approximately 22% which was significantly lower than normal levels
(refer to Chapter 3, Figure 3.8). Gelsolin gene expression was included as a specificity control to show the specificity of Flii siRNA knockdown and that gelsolin gene levels did not increase to compensate for the loss of Flii expression. When Flii gene expression was reduced, cFos and cJun gene expressions were found to be significantly lower, at approximately 55% of control (Figure 5.1A). Smad proteins which are involved in TGFβ downstream signaling are also affected in response to the reduction in Flii expression levels. Smad 3 and 4 which are responsible for the signal transduction of TGFβ had significantly lower expression (Figure 5.1B). However, the opposite was found for Smad
7 where its gene expression was significantly elevated. Over-expression of Flii in HFFs was attempted but transfection of a Flii vector for over-expression into HFFs proved to be too difficult. Transfection was either not successful or it produced significant cell
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A
120
100
80 * * 60 40 *
20 Fold Change (% Control) to Change Fold
0 Flii Gelsolin c-Fos c-Jun
B 180 * 160
140 120 100 80 * * 60 40 *
Fold Change (% Control) to Change Fold 20 0
Flii Gelsolin Smad 3 Smad 4 Smad 7
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Figure 5.1
Effects of Flii siRNA knockdown on cFos, cJun, Smad 3, Smad 4 and Smad 7 gene
expression. Flii gene expression was knocked down using siRNA in normal human
foreskin fibroblasts. Gene expression of AP-1 proteins and Smads were quantitated using RTq-PCR. Results are expressed as a percentage of control which is represented by the dotted line at 100%. Gelsolin, a member of the family is included as a control gene to show target specificity of Flii siRNA. Cyclophillin was used as the reference gene. n = 6, *p < 0.05.
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death. This limited the analyses of in vitro Flii manipulation to just the siRNA
knockdown approach.
5.3.2 TGFβ1 increases collagen secretion in WT, Flii+/- and FliiTg/+ primary fibroblasts
Collagen is a component of the extra cellular matrix and is crucial in wound healing and
is produced by myofibroblasts which was also investigated in this study. Although
there were very little differences in α-SMA expression between WT, Flii+/- and FliiTg/+
fibroblasts, the amount of collagen secreted by these fibroblasts was significantly
different. In unwounded cells, it was found that WT fibroblasts secrete the least amount
of collagen followed by Flii+/- and FliiTg/+ fibroblasts, which secrete the most collagen
(Figure 5.2A). Wounding caused increased production of collagen. WT and FliiTg/+
collagen secretion increased significantly but interestingly, there was no difference in
collagen secretion by Flii+/- fibroblasts in response to wounding. The collagen levels secreted by Flii+/- fibroblasts were significantly lower than both unwounded and wounded FliiTg/+ fibroblasts but higher compared to WT fibroblasts. The effects of
TGFβ1 addition on collagen production was also studied since TGFβ1 induces
fibroblast differentiation into myofibroblasts which are the primary producers of
collagen. Adding TGFβ1 considerably increased collagen secretion in all WT, Flii+/- and
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A Unwounded Untreated Wounded * 1500 *
* 1000 *
500 Collagen (ug/ml)
0 Flii+/- WT FliiTg/+
B Unwounded + TGF-β1 Wounded * * 3000
2000
1000
Collagen (ug/ml) 0 Flii+/- WT FliiTg/+
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Figure 5.2
Comparison of collagen content secreted by unwounded and wounded fibroblasts.
Spent growth media from confluent, scratched wounded and TGFβ1 treated Flii+/-, WT and FliiTg/+ fibroblasts were collected and assayed for soluble collagen content. (A)
Comparison of collagen secretion in unwounded and wounded primary fibroblasts. (B)
Comparison of collagen content in TGFβ1 treated unwounded and wounded primary fibroblasts. Results represent mean ± S.E.M. n = 6, p < 0.05.
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FliiTg/+ fibroblasts (Figure 5.2B). WT fibroblasts secreted the least amount of collagen
followed by Flii+/- fibroblasts and FliiTg/+ fibroblasts in response to TGFβ1 addition.
Wounding and the addition of TGFβ1 further increased the production of collagen in all
WT, Flii+/- and FliiTg/+ fibroblasts. FliiTg/+ fibroblasts had the least increase in collagen levels which may be the limit due to the already high collagen levels. However, it was found that TGFβ1 increased Flii+/- fibroblast collagen production to be comparable to
FliiTg/+ fibroblasts.
5.3.3 TGFβ1 decreases FliiTg/+ fibroblast proliferation
The effects of TGFβ1 on WT, Flii+/- and FliiTg/+ primary fibroblasts proliferation were
investigated to determine if exogenous TGFβ1 could affect cells with differential Flii
gene expression. Primary fibroblasts derived from WT, Flii+/- and FliiTg/+ mice were treated with 500pg/ml, 1000pg/ml and 2000pg/ml of TGFβ1 ligand. It was noted that
Flii+/- primary fibroblasts had the highest proliferation followed by WT and FliiTg/+
primary fibroblasts under normal conditions (Figure 5.3A). It was observed that
proliferation in WT and Flii+/- primary fibroblasts was significantly increased in response to TGFβ1 (Figure 5.3A). However, the opposite was observed in FliiTg/+
primary fibroblasts. Proliferation in FliiTg/+ primary fibroblasts was decreased in
response to TGFβ1 addition. The addition of 1000pg/ml (Figure 5.3B) and 2000pg/ml
(Figure 5.3C) of TGFβ1 ligand had a similar result. WT and Flii+/- primary fibroblasts
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A 500pg/ml 250 * 200
150 * Untreated 100 +TGFβ1
Proliferation * 50 (% to WT (% to WT Untreated) 0 Flii+/- WT FliiTg/+
B 1000pg/ml 250 * 200
150 * Untreated 100 +TGFβ1 Proliferation * 50 (% to WT (% to WT Untreated) 0 Flii+/- WT FliiTg/+
2000pg/ml C 250 * 200
150 * Untreated 100 +TGFβ1 Proliferation * 50 (% to WT (% to WT Untreated) 0 Flii+/- WT FliiTg/+
205
Figure 5.3
TGFβ1 increases proliferation in Flii+/- fibroblasts but decreases proliferation in FliiTg/+
fibroblasts. Cells were serum-starved prior to adding 500pg, 1000pg and 2000pg of
TGFβ1 ligand. Proliferation status was assayed by using WST-1 reagent and absorbance
measured at 450nm and 600nm at 48 hours post-treatment. (A) Primary fibroblasts treated with 500pg/ml of TGFβ1. (B) Primary fibroblasts treated with 1000pg/ml of
TGFβ1. (C) Primary fibroblasts treated with 2000pg/ml of TGFβ1. Results represent mean ± S.E.M. n = 6, *p < 0.05 (untreated vs +TGFβ1 within each group).
206
consistently showed increased proliferation and FliiTg/+ primary fibroblasts had decreased proliferation.
5.3.4 Proliferation of primary fibroblasts treated with MAPK inhibitors
Four pharmaceutical inhibitors (UO126, PD98059, SP600125 and LY294002) were used to investigate the effects of signaling pathways on cellular proliferation in primary fibroblasts derived from WT, Flii+/- and FliiTg/+ mice expressing different levels of Flii protein. Firstly, the concentrations of inhibitors used in this study were optimised using
HFFs and inhibitor concentrations of 0µM (untreated), 10µM, 30µM and 50µM (Figure
5.4). MAPK inhibitors UO126 and PD98059 inhibit the MEK1/2 and Raf signaling pathway respectively, which resulted in the decrease of pERK. This indicated that the inhibitors were effective at starting from 30µM up to 50µM . Treatment with JNK inhibitor and PI3K inhibitor decreased Jun and pAkt expression with increasing inhibitor doses indicating the inhibitors are functioning. However, even at 50µM concentrations, JNK and PI3K inhibitors did not work as well as UO126 and PD98059 inhibitors. Increased concentrations were used but resulted in significant cell death. As a result, the highest and most effective inhibitor concentration of 50µM was used in this study.
207
Untreated 10µM 30µM 50µM
MEK1/2 Inhibitor IB: pERK (UO126)
Raf Inhibitor IB: pERK (PD98059)
JNK Inhibitor IB: Jun (SP600125)
PI3K Inhibitor IB: pAkt (LY294002)
Figure 5.4
Optimization of MAPK and PI3K inhibitors in HFFs. Cells were seeded at 50% confluency overnight and serum starved the following day. HFFs were treated with
10µM, 30µM or 50µM of MAPK (UO126, PD98059, SP600125) or PI3K (LY294002) inhibitors for 48 hours before protein samples were obtained. Untreated samples were included in the western blot to show original expression prior to the treatments.
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In untreated cells, proliferation was the highest in Flii+/- primary fibroblasts followed by
WT and FliiTg/+ primary fibroblasts (Figure 5.5). In MEK 1/2 inhibitor UO126 treated
cells, Flii+/- and WT primary fibroblasts showed increased proliferation whereas FliiTg/+
fibroblasts had decreased proliferation (Figure 5.5A). In cells treated with Raf inhibitor
PD98059, no significant increase in proliferation was observed in Flii+/- fibroblasts
(Figure 5.5B). WT fibroblasts showed significantly increased proliferation and FliiTg/+
fibroblasts had decreased proliferation. In cells treated with JNK/SAPK inhibitor
SP600125, a significant decrease in proliferation was observed in Flii+/- fibroblasts
(Figure 5.5C). Proliferation in WT fibroblasts was still increased. FliiTg/+ fibroblasts
however, did not show any significant differences in response to SP600125 treatment. In
cells treated with PI3K inhibitor LY294002, increased proliferation was observed in WT
and Flii+/- fibroblasts but FliiTg/+ fibroblasts had decreased proliferation.
5.3.5 TGFβ1 decreases migration in Flii+/- fibroblasts
Using an outgrowth model where the distance from the explant to the farthest fibroblast
was measured. FliiTg/+ fibroblasts noticeably had slower migration compared to WT and
Flii+/- fibroblasts at day 5 and day 6 (Figure 5.6A). At the end of day 6, Flii+/- fibroblasts
were observed to migrate the farthest. There was no difference in migration between
WT and FliiTg/+ fibroblasts at day 6. The effects of TGFβ1 on migration of primary
fibroblasts were also investigated. It was found that migration of Flii+/- fibroblasts was
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Untreated Untreated A UO 126 B PD 98059 UO 126 PD 98059 250 200 * 200 150 * 150 * 100 100 * * 50 Proliferation Proliferation 50 (% to WT Untreated) WT to (% (% to WT Untreated) WT to (% 0 0 Flii+/- WT FliiTg/+ Flii+/- WT FliiTg/+
Untreated Untreated C SP 600125 D LY 294002 SP 600125 LY 294002 150 200 * * 150 100 * * 100 50 * 50 Proliferation Proliferation (% to WT Untreated) WT to (% Untreated) WT to (% 0 0 Flii+/- WT FliiTg/+ Flii+/- WT FliiTg/+
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Figure 5.5
Differential effects of MAPK inhibitor treatments in WT, Flii+/- and FliiTg/+ primary fibroblasts. Primary fibroblasts were seeded at 50% confluency overnight and serum- starved the following day. All inhibitors PD98059, UO126, LY294002 and SP600125 were added for 48 hours after serum-starvation and proliferation status quantitated and expressed as a percentage to untreated WT controls. (A) Primary fibroblasts treated with MEK 1/2 inhibitor UO 126. (B) Primary fibroblasts treated with Raf inhibitor PD
98059. (C) Primary fibroblasts treated with JNK/SAPK inhibitor SP 600125. (D) Primary fibroblasts treated with PI3K inhibitor LY 294002. Results represent mean ± S.E.M. n = 6,
*p < 0.05 (untreated vs +TGFβ1 within each group).
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A Outgrowth B Flii+/- 300 * 300 * Flii+/- Untreated 250 250 WT +TGF-b1 200 * 200 * FliiTg/+ 150 150 100 100 50 50 0 0 Migration Distance Distance Migration (um) Migration Distance Distance Migration (um) 1 2 3 4 5 6 1 2 3 4 5 6
Days Days *c
C WT D FliiTg/+
300 250 * Untreated * Untreated 250 200 +TGF-b1 +TGF-b1 * 200 150 150 * 100 100 50 50 Migration Distance Distance Migration (um) Distance Migration (um) 0 0 1 2 3 4 5 6 1 2 3 4 5 6 Days Days
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Figure 5.6
TGFβ1 decreases Flii+/- outgrowth motility. Full thickness skin explants biopsied from
WT, Flii heterozygous and over-expressing mice were seeded into culture plates.
Growth media containing 1ng/ml of TGFβ1 was then added and cellular outgrowth from explants measured daily for 6 days. (A) Comparison of outgrowth distance of
Flii+/-, WT and FliiTg/+ explants. (B) TGFβ1 inhibited outgrowth migration in Flii+/- explants. (C) TGFβ1 increased outgrowth migration in WT explants. (D) TGFβ1 inhibited outgrowth migration in FliiTg/+ explants. Results represent mean ± S.E.M. n = 6,
*p < 0.05 vs WT (A) or Untreated (B-D).
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significantly decreased at day 5 onwards in response to TGFβ1 treatment (Figure 5.6B).
Conversely, TGFβ1 was observed to slightly increase migration in WT at day 6 (Figure
5.6C). TGFβ1 significantly increased migration in FliiTg/+ fibroblasts from day 4 to day 6
(Figure 5.6D).
5.3.6 MAPK inhibitors decrease fibroblasts outgrowth
Interactions between Flii and the MAPK pathway to regulate TGFβ has not been
studied before but will be investigated in this study using specific MAPK inhibitors and
the addition of TGFβ1. Firstly, the effects of inhibitor addition on WT fibroblasts
migration were determined. All inhibitors generally decreased outgrowth migration
(Figure 5.7A). MEK 1/2 inhibitor UO126 and Raf inhibitor PD98059-treated explants
showed significantly lesser outgrowth compared to the untreated explants, especially
from day 4 to day 6. There was no considerable difference in outgrowths in explants treated with inhibitors UO126 and PD98059. However, in explants treated with
JNK/SAPK inhibitor SP600125, fibroblast migration was not observed until day 6. This was also observed similarly in explants treated with PI3K inhibitor LY294002. The lack of outgrowth in these explants treated with SP600125 and LY294002 suggests that the
JNK/SAPK and PI3K signaling pathway is important in cellular migration.
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A WT Explants
300 Untreated 250 SP600125 LY694002 *w-ac 200 UO126
PD98059 150 *o-v
100 *g-n
*a-f Migration Distance Distance Migration (um) 50
0 1 2 3 4 5 6
Days
B WT Explants
300 Untreated 250 SP + b1 LY + b1 *t-x 200 UO + b1 150 PD + b1 *m-s *g-l 100 *a-f
Migration Distance Distance Migration (um) 50
0 1 2 3 4 5 6
Days
215
Figure 5.7
WT explants treated with MAPK inhibitors and TGFβ1 ligand. Full thickness skin
biopsies were taken from WT mice. Explants were cultured for a period of 6 days and
cellular outgrowth measured daily. (A) WT explants treated with MAPK inhibitors
only. Explants treated with either inhibitor UO126 or PD98059 had reduced cell
migration while inhibitors SP600125 or LY294002 drastically impaired cellular motility
(*a-ag respectively). (B) WT explants cultured with MAPK inhibitors and TGFβ1.
Addition of TGFβ1 increased outgrowths to that of untreated in explants treated with
inhibitor UO126 or PD98059 while inhibitors SP600125 or LY294002 significantly
impaired cellular motility, suggesting that TGFβ1 signaling is affected (*a-ab respectively). Results represent mean ± S.E.M. n = 12, *p < 0.05.
216
The addition of TGFβ1 to WT explants increased migration as shown in Figure 5.7C.
Addition of TGFβ1 in conjunction to inhibitor UO126-treated explants increased outgrowth to that of untreated explants (Figure 5.7B). This was similarly observed in inhibitor PD98059-treated explants where no difference in outgrowth was observed between PD98059-treated and untreated explants. In SP600125-treated explants, the
addition of TGFβ1 improved migration and outgrowth was observed at day 4 onwards.
However, no outgrowth was observed in LY294002-treated explants at the end of day 6.
Inhibitor treated Flii+/- explants showed similar results to the WT. The addition of
inhibitor PD98059 showed no difference in migration until day 5 where migration was
significantly decreased compared to the untreated fibroblasts (Figure 5.8A). UO126,
SP600125 and LY294002 all significantly slowed fibroblast outgrowth on day 2 onwards.
SP600125 and LY294002 treated Flii+/- fibroblasts showed almost no outgrowth
indicating that the inhibited pathways are important in cellular migration. At the end of
day 6, it was observed that PD98059-treated explants had reduced fibroblast migration
followed by UO126, SP600125 and LY294002 treated explants. TGFβ1 was shown to
decrease outgrowth migration in Flii+/- fibroblasts (Figure 5.6B). However, TGFβ1
treatment in conjunction with the treatment of inhibitors did not significantly affect
outgrowth of Flii+/- fibroblasts (Figure 5.8B). The outgrowth of Flii+/- treated explants with both inhibitors and TGFβ1 was similar to the outgrowth observed in explants
217
A Flii+/- Explants 300 Untreated *w-af 250 SP600125 LY294002 200 *m-v UO126 PD98059 150 *g-l
100 *a-f Migration Distance Distance Migration (um) 50
0 1 2 3 4 5 6
Days
B Flii+/- Explants
300 Untreated *y-ag 250 SP + b1 LY + b1 200 UO + b1 *p-x PD + b1 150 *g-o 100 *a-f Migration Distance Distance Migration (um) 50
0 1 2 3 4 5 6
Days
218
Figure 5.8
Flii+/- explants treated with MAPK inhibitors and TGFβ1 ligand. Full thickness skin
biopsies were taken from Flii+/-mice. Explants were cultured for a period of 6 days and
cellular outgrowth measured daily. (A) Flii+/- explants treated with MAPK inhibitors only. Explants treated with either inhibitor UO126 or PD98059 had reduced cell migration while inhibitors SP600125 or LY294002 drastically impaired cellular motility
(*a-af respectively). (B) Flii+/- explants cultured with MAPK inhibitors and TGFβ1.
Addition of TGFβ1 showed similar results to A, suggesting that TGFβ1 signaling is not
affected (*a-ag respectively). Results represent mean ± S.E.M. n = 12, *p < 0.05.
219
treated with inhibitors alone. Explants treated with PI3K inhibitor LY294002 showed no
outgrowth.
FliiTg/+ explants treated with inhibitors also showed decreased outgrowths (Figure 5.9A).
UO126 and PD98059 treated explants were observed to have similar outgrowths. FliiTg/+
explants treated with SP600125 and LY294002 inhibitors consistently showed significant
decrease in outgrowth which is similar to WT and Flii+/- explants. Outgrowth was only observed in inhibitor SP600125 treated explants from day 5 onwards. No outgrowth was observed in FliiTg/+ explants treated with inhibitor LY294002. From Figure 5.6D, it is
showed that TGFβ1 increase migration in FliiTg/+outgrowth migration. Similar to WT
explants, FliiTg/+ explants treated with inhibitors UO126 and TGFβ1 also increased
outgrowth migration to be comparable to that of the untreated explants (Figure 5.9B).
Similarly, no differences in outgrowth migration were observed in PD98059 and TGFβ1
treated explants compared to untreated. Conversely, the addition of TGFβ1 to inhibitor
SP600125 treated explants did not increase outgrowth. In fact, no outgrowths were
observed in TGFβ1 treated FliiTg/+ explants in the presence of either SP600125 or
LY294002 inhibitors.
220
A FliiTg/+ Explants
300 Untreated 250 SP600125 LY129004 *y-ag 200 UO126 150 PD98059 *p-x
100 *g-o *a-f
Migration Distance Distance Migration (um) 50
0 1 2 3 4 5 6
Days
B FliiTg/+ Explants
300 Untreated 250 SP + b1 LY + b1 *w-ab 200 UO + b1 150 PD + b1 *p-v
100 *h-o *a-g
Migration Distance Distance Migration (um) 50
0
1 2 3 4 5 6
Days
221
Figure 5.9
FliiTg/+ explants treated with MAPK inhibitors and TGFβ1 ligand. Full thickness skin
biopsies were taken from FliiTg/+ mice. Explants were cultured for a period of 6 days and
cellular outgrowth measured daily. (A) FliiTg/+ explants treated with MAPK inhibitors
only. Explants treated with either inhibitor UO126 or PD98059 had reduced cell
migration while inhibitors SP600125 or LY294002 drastically impaired cellular motility
(*a-ag respectively). (B) FliiTg/+ explants cultured with MAPK inhibitors and TGFβ1.
Addition of TGFβ1 increased outgrowths to that of untreated in explants treated with
inhibitor UO126 or PD98059 while inhibitors SP600125 or LY294002 significantly impair
cellular motility, suggesting that TGFβ1 signaling is affected (*a-ab respectively).
Results represent mean ± S.E.M. n = 12, *p < 0.05.
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5.3.7 Comparison of WT, Flii+/- and FliiTg/+ outgrowths treated with MAPK inhibitors
The outgrowth migration of WT, Flii+/- and FliiTg/+ explants were compared against one another to determine if there was any difference in outgrowth after treatment with inhibitors and/or TGFβ1. In UO126-treated explants, there were no differences in WT,
Flii+/- and FliiTg/+ outgrowths (Figure 5.10A). However, Flii+/- explants showed a trend of
increased outgrowth migration over WT and FliiTg/+ explants. In PD98059-treated
explants, there were no differences in WT and FliiTg/+ outgrowth migration (Figure
5.10B). Flii+/- explants on the other hand showed significantly increased outgrowth
migration compared to WT and FliiTg/+ on day 4 until day 6. Little outgrowth was
observed in all WT, Flii+/- and FliiTg/+ explants treated with inhibitor SP600125 (Figure
5.10C). Although differences between the groups were observed, the differences were
not significant. This is also the case for WT, Flii+/- and FliiTg/+ explants treated with inhibitor LY294002 (Figure 5.10D). Explants treated with inhibitor LY294002 showed no outgrowth.
The addition of TGFβ1 to inhibitor UO126 treated WT, Flii+/- and FliiTg/+ explants did not
show any differences in outgrowth between them (Figure 5.11A). At day 4, Flii+/-
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A UO126 B PD98059 200 200 *e-f WT 150 Flii+/- 150 WT *c-d FliiTg/+ Flii+/- *a-b 100 100 *a FliiTg/+ 50 50 Migration Distance Distance Migration (um) 0 Distance Migration (um) 0 1 2 3 4 5 6 1 2 3 4 5 6
Days Days
C SP600125 D LY694002 200 WT 200 150 Flii+/- WT 150 FliiTg/+ Flii+/- 100 *f-g 100 FliiTg/+ *c-e 50 *a-b 50 *a-b *c-e
Distance Migration (um) 0 0 1 2 3 4 5 6 Distance Migration (um) 1 2 3 4 5 6 Days Days
224
Figure 5.10
Comparison of Flii+/-, WT and FliiTg/+ outgrowth in response to MAPK inhibitor
treatments. (A) Explants treated with MEK1/2 inhibitor UO126 showed no significant
differences between the groups. (B) Explants treated with Raf inhibitor PD98059.
Outgrowth migration was further for Flii+/- explants compared to WT and FliiTg/+
explants (*a-f respectively) (C) Explants treated with JNK/SAPK inhibitor SP600125
showed drastically reduced cellular motility. Flii+/- explants had slightly more
outgrowth than WT and FliiTg/+ explants (*a-g respectively) (D) Explants treated with
PI3K inhibitor LY694002 showed drastically reduced outgrowth (*a-e respectively).
Results represent mean ± S.E.M. n = 12, *p < 0.05.
225
A UO126 + TGFβ1 B PD98059 + TGFβ1 200 200 WT WT 150 Flii+/- 150 Flii+/- FliiTg/+ FliiTg/+ 100 *a-b 100
50 50 Migration Distance Distance Migration (um) 0 Distance Migration (um) 0 1 2 3 4 5 6 1 2 3 4 5 6
Days Days
C SP600125 + TGFβ1 D LY694002 + TGFβ1
200 200 WT WT 150 Flii+/- 150 Flii+/- FliiTg/+ FliiTg/+ 100 *e-f 100 *c-d 50 *a-b 50
Migration Distance Distance Migration (um) 0 Distance Migration (um) 0 1 2 3 4 5 6 1 2 3 4 5 6
Days Days
226
Figure 5.11
Comparison of Flii+/-, WT and FliiTg/+ outgrowth in response to MAPK inhibitor and
TGFβ1 ligand treatments. (A) Explants treated with TGFβ1 and MEK1/2 inhibitor
UO126. (B) Explants treated with TGFβ1 and Raf inhibitor PD98059. (C) Explants treated with TGFβ1 and JNK/SAPK inhibitor SP600125 drastically reduced outgrowth in FliiTg/+ explants compared to WT and Flii+/- explants (*a-f respectively) . (D) Explants
treated with TGFβ1 and PI3K inhibitor LY694002 showing no outgrowth in all groups.
Results represent mean ± S.E.M. n = 12, *p < 0.05.
227
explants showed a small increase in outgrowth compared to WT and FliiTg/+ explants but
on day 5 and day 6, no significant difference was observed between the groups. TGFβ1
addition to inhibitor PD98059 treated explants showed no difference in outgrowth in
WT and FliiTg/+ explants (Figure 5.11B). However, both WT and FliiTg/+ outgrowth was
significantly lower than that of Flii+/- explants where it could be clearly observed that
Flii+/- explants treated with inhibitor PD98059 and TGFβ1 had increased outgrowth
migration from day 4 onwards to day 6. In inhibitor SP600125-treated explants in the
presence of TGFβ1, no outgrowth was observed in FliiTg/+ explants (Figure 5.11C). WT and Flii+/- explants had minimal outgrowth and there was no differences in outgrowth
between them. Finally, for explants treated with inhibitor LY294002 and TGFβ1, no
outgrowth was observed in all explant groups (Figure 5.11D). This indicated the
importance of PI3K in cellular migration where the inhibition of this signaling pathway
stops migration even in the presence of TGFβ1.
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5.4 Discussion
Flii has been implicated as a signaling molecule and is involved in the regulation of
TGFβ expression which consequently affects wound healing. Understanding the
cellular mechanism involved in the process where Flii regulates TGFβ could lead to
therapeutic approaches aimed at improving wound healing and thus scar formation.
TGFβ is an important molecule in the regulation of cellular processes and plays
important roles such as apoptosis, proliferation and migration 185,222,223. Consequently, the action of TGFβs will greatly affect the outcome of wound healing which heavily rely on cellular proliferation and migration, such as keratinocyte migration during re- epithelialization, inflammatory cells influx, fibroblasts migration into the wound matrix and the subsequent production of matrix proteins 111. In previous chapters, the
relationship between Flii and TGFβ has been established, as well as the physical
interactions between Flii and proteins involved in TGFβ signaling. Given that Flii can
interact with Ras proteins 109, implicating Flii in the MAPK signaling pathway which
can also regulate TGFβ signaling, and we set out to study the underlying mechanism by
which Flii regulate TGFβs through the MAPK and PI3K pathways.
The TGFβ signaling pathway requires a well coordinated set of 'activators' such as the
229
binding of cFos and cJun proteins to its promoter and downstream 'effectors' such as the MAPK signaling pathway and Smad proteins 168,201,203. It was first determined whether Flii could affect these proteins by knocking down the expression of the Flii gene. Indeed, cFos and cJun gene expression was decreased in response to the reduction of Flii, suggesting that manipulation of Flii is able to affect the expression of AP-1 proteins, cFos and cJun. As a result, the flow on effects of cFos and cJun expression are likely to impact on the transcriptional activity on the TGFβ promoter to influence TGFβ expression. Smad proteins which signal downstream of TGFβs were also investigated.
Under normal conditions, receptor activated Smad 3 will form complexes with Smad 4 and translocate into the cell nucleus to activate target genes 139. This process is negatively regulated by Smad 7 which prevents the activation of Smad 3 224,225.
Interestingly, the expression of Smad 3 and Smad 4 were found to be down regulated in response to Flii gene reduction. Inhibitory Smad 7 gene expression was however elevated. This implies that cells with reduced Flii could be less responsive to the negative effects of TGFβ signals due to the lack of Smad 3 and Smad 4 proteins and the increase in inhibitory Smad 7.
The effects of TGFβ1 addition to fibroblasts derived from WT, mice heterozygous (Flii+/-) and over-expressing (FliiTg/+) Flii mice was determined. Firstly, the expression of myofibroblasts marker α-smooth muscle actin (α-SMA) was assessed. In unwounded
230
cells, α-SMA expression was found to be highest in FliiTg/+ cells even when TGFβ1 was added. Interestingly, there was no difference in α-SMA expression in any of the groups investigated. As TGFβ1 is known to induce differentiation of fibroblasts into myofibroblasts 226, it was expected that treatment with TGFβ1 would lead to a
significant increase in α-SMA expression in these cells. However, since these cells were
obtained from skin explants, the migrating cells from the explants may have already
differentiated into myofibroblasts therefore mitigating the effects of TGFβ1. In
wounded cells, there were no differences in αSMA expression between WT, Flii+/- and
FliiTg/+ cells suggesting that the fibroblasts have already differentiated into
myofibroblasts. However, the addition of TGFβ1 to Flii+/- fibroblasts increased α-SMA
expression indicating that Flii+/- fibroblasts have less differentiated fibroblasts than WT
and FliiTg/+ cells. This is consistent with the finding that reduction of Flii expression results in a decrease in TGFβ1 expression levels, which may therefore lead to less differentiation of fibroblasts.
TGFβ1 is a known inducer of collagen secretion in fibroblasts 227. In unwounded
fibroblasts, FliiTg/+ fibroblasts secrete significantly more collagen than WT and Flii+/-
fibroblasts. Collagen secretion is increased in response to wounding in WT and FliiTg/+
fibroblasts but Flii+/- fibroblasts collagen secretion remained the same. In cells treated
with TGFβ1, collagen secretion increased significantly with FliiTg/+ fibroblasts secreting
231
the highest levels of collagen. However, collagen secretion in Flii+/- fibroblasts were equivalent to the amount secreted by FliiTg/+ fibroblasts suggesting that Flii+/- fibroblasts
have an internal mechanism preventing collagen production perhaps by suppressing
TGFβ1 expression but adding exogenous TGFβ1 overrides that mechanism therefore
increasing collagen levels in Flii+/- fibroblasts. This may also explain the impairment of
wound healing in FliiTg/+ mice 111 as excessive collagen production in FliiTg/+ fibroblasts
lead to fibrosis which contributes to impaired wound healing 228.
Cellular proliferation is key to the wound healing process. Proliferation in primary
fibroblasts was determined following the addition of MAPK inhibitors and TGFβ1.
Increased proliferation of Flii+/- fibroblasts was consistent with previous results showing
highest proliferation in Flii+/- fibroblasts followed by WT and FliiTg/+ fibroblasts 111. A
dose response concentration of 500pg/ml, 1000pg/ml and 2000pg/ml of TGFβ1 were
added to the cells representing low, physiological and high concentrations respectively.
Proliferation in WT and Flii+/- fibroblasts was increased in response to TGFβ1 addition
in all concentrations indicating the sensitivity of cellular proliferation to TGFβ1. FliiTg/+
fibroblasts proliferation on the other hand was decreased. This experiment showed that
addition of TGFβ1 have different effects in cells expressing different levels of Flii.
232
MAPK pathway inhibitors were used to investigate the underlying mechanism of TGFβ
regulation by Flii. It is noted that the non-specific nature of the MAPK inhibitors used in this study are taken into consideration such that these inhibitors do not specifically target a single signaling pathway. It is more likely that MAPK inhibitors such as
SP600125 can inhibit other kinase activities, which results in different cellular responses
229. In addition, there are a huge number of kinases that exists and these inhibitors have
only been tested for a small percentage of them. Therefore, there is a need to confirm the data using different approaches such as using different inhibitors targeting the same kinase activity and using more specific methods including targeted knockdown of the kinase.
As the MAPK signaling pathway regulates cellular proliferation 153, there is no doubt
that proliferation in WT, Flii+/- and FliiTg/+ fibroblasts will be affected. The addition of
MAPK inhibitors (UO126, PD98059, SP600125 and LY294002) to WT fibroblasts resulted
in an increase in proliferation opposite to FliiTg/+ fibroblasts where reduced proliferation
was observed. This is interesting as it was expected that the addition of inhibitors
would decrease proliferation. However, it could be due to the multiple signaling cross-
talks within the MAPK signaling pathway 230. As a result, other signaling pathways may compensate for the loss of one signaling column. Proliferation in Flii+/- fibroblasts were significantly increased in all inhibitor treatments except for fibroblasts treated with the
233
JNK/SAPK inhibitor SP600125. In fact, only the addition of this inhibitor prevented the increase in proliferation characteristic of Flii+/- fibroblasts indicating that Flii+/- fibroblasts may be dependent on the activity of the JNK/SAPK signaling pathway for its effects on proliferation to occur.
TGFβ1 addition to primary explants were also found to have different effects on WT,
Flii+/- and FliiTg/+ outgrowth migration. In normal untreated explants, Flii+/- explants had the greatest outgrowth response followed by WT and FliiTg/+ explants, which is consistent with the proliferation results and study showing improved migration in Flii knockdown cells 111. The effects of TGFβ1 on cellular migration is still a debatable topic where it has been shown to either increase or decrease cellular migration 185,186,231,232. WT and FliiTg/+ explants treated with TGFβ1 showed increased outgrowth but Flii+/- explants showed decreased outgrowth. With similarity to the proliferation result, the addition of
TGFβ1 appeared to have different effects on cells expressing differential Flii levels.
Having established the effects of TGFβ1 addition on WT, Flii+/- and FliiTg/+ outgrowth migration, we now investigated the effects of MAPK inhibitors on WT, Flii+/- and FliiTg/+ outgrowth migration. The addition of MAPK kinase inhibitor to explants decrease outgrowth in all WT, Flii+/- and FliiTg/+ explants which shows that the MAPK signaling pathway plays an important role in cellular migration 154. Inhibitor PD98059 and UO126 which inhibits Raf and MEK 1/2 respectively affected migration to a lesser degree than
234
JNK/SAPK inhibitor SP600125 or PI3K inhibitor LY294002. These results indicated that
cellular migration can be more dependent on a MAPK signaling column such as the
activation of JNK/SAPK or PI3K signaling pathways, without which would lead to
significant loss of motility. On the other hand, MAPK signaling columns such as ERK
are also important but can be compensated by other signaling pathways via the
accessibility of multiple cross-talks present in the MAPK signaling pathway 233.
The addition of TGFβ1 to MAPK inhibitor treated explants allowed us to investigate whether TGFβ1 would still have an effect on cellular outgrowth when the MAPK signaling pathway is inhibited. In all WT, Flii+/- and FliiTg/+ explants, the treatment with
inhibitors SP600125 or LY294002 results in negligible outgrowth even when treated
with TGFβ1. This shows that TGFβ1 by itself is not sufficient to affect cellular
outgrowth; it also requires the cooperation of MAPK signaling pathways in order to
have an effect. Therefore, it is possible that the feedback loop of TGFβ1 activating
MAPK pathway may also contribute to its activity and efficacy 234. This observation is
consistently seen in all WT, Flii+/- and FliiTg/+ explants treated with inhibitors and TGFβ1.
Comparing WT, Flii+/- and FliiTg/+ explants treated with UO126 did not yield any differences between the groups. UO126 inhibits the phosphorylation of ERK1/2 from
MEK 158. As ERK is known to be involved in cellular migration 235 and Flii may be acting
through this pathway, the inhibition of this ERK will have an impact on the
235
downstream processes of Flii. Therefore, this may be the reason why there are no
differences between WT, Flii+/- and FliiTg/+ outgrowth migration. This is also similar to
the addition of Raf inhibitor PD98059. However, the outgrowth of cells in Flii+/- explants
went further than WT and FliiTg/+ explants. This suggests that although the inhibition of
MEK by Raf causes lesser outgrowth, compensation from other signaling cross-talks can
offset the decreased outgrowth. This indicated that increased in outgrowth migration of
Flii+/- explants is not heavily dependent on Raf activity.
In summary, we have shown that manipulation of Flii expression also affects genes
important for TGFβ expressions and activities. We have also shown that MAPK
signaling pathway is important in cellular proliferation and migration and inhibition of
any pathway within the MAPKs affects both cellular processes. Addition of PI3K
inhibitor LY294002 and JNK/SAPK inhibitor SP600125 results in severe outgrowth
inhibition. This indicated that these two pathways are essential in allowing cellular
migration to proceed. The treatment of Raf inhibitor PD98059 or Mek 1/2 inhibitor
UO126 also affected outgrowth migration but to a lesser degree. As cross-talks are prevalent in these signaling pathways, the inhibition of these pathways may be compensated for by other MAPK signaling cascades 230,233. The similarities between WT,
Flii+/- and FliiTg/+ groups treated with inhibitors could be explained by the activity of Flii.
Its effect is not mediated through just one specific pathway. It requires the cooperation
236
between MAPK signaling pathways to affect downstream processes such as migration.
Therefore the inhibition of a specific pathway results in little or no significant differences between the groups. In conclusion, the regulation of TGFβ by Flii is most likely mediated through the MAPK signaling pathway.
237
CHAPTER SIX
General discussion
6.1 Discussion
Wound healing is orchestrated by a complex interplay between different cells including
inflammatory cells, keratinocytes and fibroblasts, which are governed by a cocktail of
signaling molecules such as hormones and cytokines. In addition, the actin cytoskeleton
is the underlying structure integral to the wound healing process as cells require the
actin cytoskeleton to migrate by forming protusions such as lamellipodias and
filopodias. The actin cytoskeleton is regulated by the gelsolin family of actin remodeling
proteins. Although the gelsolin family has been identified as the chief regulator of actin,
this thesis has identified additional roles for members of the gelsolin family involved in
wound healing. This thesis aims to examine the roles of two proteins in the gelsolin family of actin binding proteins, gelsolin and Flii in the process of wound healing. The insignificant outcome of the gelsolin study meant that the thesis is split into two parts with more emphasis on the latter.
6.1.1 Gelsolin and the AR
Several studies have identified gelsolin as a AR co-activator 81,89,178,236, which lead to the
prediction that gelsolin is of importance in the androgen mediated wound healing
238
process. This study has looked at possible roles of gelsolin in the androgen mediated wound repair by using gelsolin siRNA knock down fibroblasts and the addition of hormone, DHT. The knockdown of gelsolin in HFFs resulted in decreased proliferation and impaired migration. However, the addition of hormone DHT reversed the effect and cellular proliferation and migration were increased. When this hypothesize was subsequently shown to be inaccurate, the alternative explanation was that even though gelsolin is an co-activator of AR, it is not directly involved in DHT stimulated cellular proliferation and migration. A second possibility is that functional redundancy may have occurred. This implies that the co-activating function of gelsolin can be compensated by the availability of other co-activators including members of the gelsolin family such as supervillin which is also a co-activator for AR 177. However, it is unknown whether gelsolin localization into the nucleus following hormone stimulation have any additional roles as it seems unlikely that nuclear gelsolin has redundant functions in evolutionary advance mammals. In addition, the importance of gelsolin interaction with AR may not lie in the androgen mediated wound healing process but in other cellular processes. It is also interesting to see whether gelsolin is also a co- activator for other signaling proteins. This may be of interest for future research to fully understand the complete function of the gelsolin family.
239
6.1.2 Flii and TGFβs
Following studies reporting the negative effects of TGFβ1 and the beneficial effects of
TGFβ3 116,117,192, chapter 3 aims to identify the relationship between Flii and the TGFβs by using an in vivo wound healing model and detecting TGFβ isoforms expression throughout the wound healing time-course. Here, we found that Flii deficiency mice correlates with low to high ratios of TGFβ1 to TGFβ3 expression. Conversely, in Flii over-expressing mice correlates with high to low ratios of TGFβ1 to TGFβ3. To further substantiate the finding that Flii deficiency results in low TGFβ1 to high TGFβ3 expression ratios, we used Flii siRNA gene silencing technology to knockdown Flii gene expression. Consistent to the in vivo wound healing results, reducing Flii gene expression is also correlated with lower levels of TGFβ1 and higher levels of TGFβ3.
This showed that manipulation of Flii could lead to different expression of TGFβ isoforms. Given the beneficial effects of TGFβ3, this could explain the improved healing in mice heterozygous for Flii. The opposite could also be said for mice over-expressing
Flii. As the relationship between Flii and TGFβ has been established, it will be interesting to determine whether the manipulation of Flii in TGFβ null mice will have any differences in the outcome of wound healing.
In chapter 4 and chapter 5, the underlying mechanisms for Flii regulation of TGFβ were
240
investigated. As proteins with a LRR domain interacts with other proteins, it is
therefore likely that Flii will interact with proteins given that Flii also has a LRR
domain. It was revealed that Flii directly associates with multiple proteins involved in
TGFβ expression and signaling as well as TGFβ itself. Flii associates with c-Fos and c-
Jun proteins which are involved in the regulation of TGFβ expression. In addition, it
was also found that Flii associates with Akt and Smad proteins involved in downstream
TGFβ signaling. These results indicated a potential mechanistic link suggesting that Flii could potentially regulate TGFβs.
Here, two possible roles that Flii can act as a regulator for wound healing are proposed.
Firstly, Flii may function as a co-activator for target gene expression. Since co-activating
functions for Flii been previously described 105, it is therefore possible that the
interactions of Flii with transcriptional activators such as Smad 2/3 or cFos and cJun dimers, have co-activating roles. These interactions could represent the formation of a
co-activator complex, which is part of a larger transcriptional activating complex that
binds to DNA and regulate the expression of target genes (Figure 6.1). The second
possible role of Flii involves the sequestering of the target protein, which affects
downstream signaling activities. For example, B23 is a protein that play important roles
in cellular proliferation and cell death 237. The binding of Akt to B23 stabilizes B23 and
prevent it from degradation by caspases. In this case, Flii can complete with B23 for Akt
241
Stimulant Flii Akt
Protein Activities
Flii Flii TGFβ
Flii Flii 4 2/3 2/3 Transcription Fos/Jun Transcription X Factors Dimers X Factors Smad Smad Smad
Gene Expression Gene Expression
Figure 6.1
Theoretical representation of Flii interactions and functions.
242
which affects the outcome of cellular proliferation or cell death. As a result, these interactions may account for the differences in wound healing observed in WT, Flii+/- and FliiTg/+ mice.
In addition to direct interaction, manipulation of Flii can also affect the gene expression of cFos, cJun, Akt and Smad 2/3 proteins. Since TGFβ can be regulated by the flow through effects of the MAPK signaling pathway and that Flii has links to the MAPK pathway, there is a high possibility that Flii may regulate TGFβ expression through the
MAPK signaling pathway. We first investigated the effects of TGFβ1 addition to primary fibroblasts derived from Flii heterozygous and over-expressing mice. It was found that the addition of TGFβ1 increases proliferation in Flii+/- fibroblasts but decreases outgrowth migration and vice versa in FliiTg/+ fibroblasts. This study showed that cellular responses to TGFβ1 ligand addition differ between WT, Flii+/- and FliiTg/+ fibroblasts. Treatment with MAPK inhibitors, UO126 (Mek1/2 inhibitor), PD98059 (Raf inhibitor), SP600125 (JNK/SAPK inhibitor) and LY294002 (PI3K inhibitor) did not yield any significant migratory differences between WT, Flii+/- and FliiTg/+ groups. This is also similarly observed if TGFβ1 ligand was added to the inhibitor treated cells. However, fibroblasts treated with MAPK inhibitors showed decreased proliferation in Flii+/- but increased proliferation in FliiTg/+ cells. The results from chapter 5 suggest that TGFβ regulation by Flii is mediated through the MAPK signaling pathway. It is also
243
interesting to speculate that since Flii can directly interact as well as influence the expression of cFos, cJun, Akt and Smad 2/3 proteins, Flii could therefore have direct and indirect roles in the regulation of TGFβ. Taken together, this thesis has reveal several novel findings and has contributed to the better understanding of Flii involvement in the wound healing process. This will contribute to a better therapeutic design by which wound healing might be improved.
6.1.3 Future Directions
At time of writing, a number of interacting proteins have now been identified for Flii including those revealed in this thesis. It would be worthwhile to determine precisely where the regions of interactions are located. This can be done using various Flii point mutants and GST-pulldown techniques. As Flii is regarded as a negative regulator for wound healing 110,111, the interactions of Flii with proteins identified in this chapter may be of a repressive nature. Therefore, by determining the significance of interactions on
Flii, it will provide an insight into the roles played by Flii such that if point mutation in
Flii results in the specific disruption of one individual interaction and not the others.
The analysis of changes in gene expression in response to Flii depletion indicated a role of Flii in the cell nucleus and possibly have roles in the MAPK signaling pathway given that Flii has links to the pathway via its interaction with Ras proteins 109. It will be
244
interesting to investigate this possibility in future studies using MAPK pathway inhibitors and in vitro reporter assays. Another point to consider is the specificity of the inhibitors used in this study. Since current MAPK inhibitors can affect unknown kinase activities, other methods including the use of more specific approach such as targeted knockdown of the kinase should be employed to confirm the results from this study.
These studies will contribute to the confidence on how Flii is working through the various signaling pathways. The establishment of a role for Flii in the MAPK signaling pathway will open new doors for research into the function of Flii in many aspects of cellular processes other than wound healing.
245
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