Global Analysis of Kidney Glomerular Extracellular Matrix in Mice of Different Strains and Genders

Total Page:16

File Type:pdf, Size:1020Kb

Global Analysis of Kidney Glomerular Extracellular Matrix in Mice of Different Strains and Genders Global Analysis of Kidney Glomerular Extracellular Matrix in Mice of Different Strains and Genders A thesis submitted to the University of Manchester for the degree of MPhil in the Institute of Human Development, Faculty of Medical and Human Sciences September 2013 Thomas Robert Denny School of Medicine 2 Table of Contents Table of Contents .................................................................................................. 2 List of Figures ........................................................................................................ 6 List of Tables ......................................................................................................... 8 Abstract ..................................................................................................................... 9 Details and Declaration ........................................................................................ 10 Copyright ............................................................................................................. 11 Acknowledgements .............................................................................................. 12 Part 1: General Introduction .................................................................................... 13 The glomerulus .................................................................................................... 13 Albuminuria and glomerular pathologies .............................................................. 14 Different urinary albumin excretion rates in humans of different genetic backgrounds and sexes ....................................................................................... 15 Urinary albumin excretion rates vary in inbred mouse strains .............................. 16 Part 2: Glomerular Filtration Barrier Structure and Function .................................... 20 Podocytes ............................................................................................................ 22 Fenestrated Endothelial Cells .............................................................................. 22 Glomerular Mesangial Cells ................................................................................. 22 Glomerular extracellular matrix ............................................................................ 23 Laminins .............................................................................................................. 25 Collagens ............................................................................................................ 25 3 Nidogens ............................................................................................................. 26 Heparan Sulphate Proteoglycans ........................................................................ 26 Part 3: Methodologies ............................................................................................. 28 Proteomics .......................................................................................................... 28 Mass Spectrometry .............................................................................................. 29 Simplification of glomerular ECM Sample ............................................................ 30 RNA Array ........................................................................................................... 33 Bioinformatic Analysis .......................................................................................... 34 Aims and Hypotheses .......................................................................................... 36 Aims .................................................................................................................... 36 Hypotheses.......................................................................................................... 37 Methods .................................................................................................................. 38 Antibodies ............................................................................................................ 38 Isolation of mouse glomeruli by sieving ................................................................ 39 Isolation of mouse glomeruli by magnetic dynabeads .......................................... 39 Quantification of glomerular isolation method effectiveness ................................. 40 Enrichment of glomerular ECM proteins .............................................................. 40 Western blotting ................................................................................................... 41 In-gel proteolytic digestion ................................................................................... 42 Liquid chromatography–tandem mass spectrometry analysis .............................. 43 4 Bioinformatic Analysis .......................................................................................... 44 RNA Microarray analysis of isolated glomeruli ..................................................... 46 Analysis of RNA Microarray results ...................................................................... 46 Statistical analysis of RNA Microarray data.......................................................... 47 Comparison of Mass Spectrometric and RNA Microarray data sets ..................... 48 Results Part 1: Comparison of glomerular isolation methodologies ......................... 50 Discussion ........................................................................................................... 54 Results Part 2: Enrichment of Isolated Glomerular Extracellular Matrix Proteins ..... 57 Discussion ........................................................................................................... 59 Results Part 3: Analysis of Mass Spectrometric Data .............................................. 61 Discussion ........................................................................................................... 80 Results Part 4: Comparison of Mass Spectrometric and RNA Array Data Sets ....... 82 Discussion ........................................................................................................... 90 Overall Discussion .................................................................................................. 92 Genes of interest ................................................................................................. 93 Genes coding for proteins expressed in the female gender only .......................... 94 Umod ................................................................................................................... 94 Fras1 ................................................................................................................... 95 Genes coding for proteins expressed in the FVB strain only ................................ 96 Fgf2 ..................................................................................................................... 96 Serpina3k and Agrin ............................................................................................ 97 5 Comparison of Mass Spectrometric and RNA data .............................................. 98 Main Conclusions .................................................................................................... 99 Future Directions of Investigation ....................................................................... 100 References ............................................................................................................... 102 Zhang B. Zhou K. K. and Ma J. (2010) Inhibition of Connective Tissue Growth Factor Overexpression in Diabetic Retinopathy by SERPINA3K via Blocking the WNT/β- Catenin Pathway, Diabetes, 59: 1809–1816. ............................................................ 113 Appendices ............................................................................................................... 115 Appendix 1: Tables of glomerular extracellular matrix proteins detected by mass spectrometry in male FVB, female FVB, male C57 and female C57 mice .......... 115 Appendix 2: Visual comparison of data (MS NSC/RNA RFU) ............................ 124 Words: 27,079 6 List of Figures Figure 1 Graphs showing glomerular number per kidney (A) and urinary 18 albumin excretion rate (B) in male (M) and female (F) mice from the C57 and FVB strains. Figure 2 The glomerulus 21 Figure 3 Coomassie stained gel and Western blots showing enrichment 32 of glomerular ECM proteins Figure 4 Light microscope image of a relatively pure glomerular isolate 51 Figure 5 Mean numbers of whole glomeruli from sieving and Dynabead 53 based isolation methods Figure 6 A Workflow of sieving-based glomerular isolation method 55 Figure 6 B Workflow of Dynabead-based glomerular isolation method 56 Figure 7 Coomassie stained gel and Western blots showing enrichment 58 of glomerular ECM proteins Figure 8 Venn diagram of MS analysis of enriched glomerular isolates 62 from male and female mice from the C57 and FVB strains Figure 9 Bar charts summarizing MS data values for protein products of 68 selected genes characteristic of one sex or one strain Figure 10 Total numbers of glomerular ECM proteins that are unique to 70 each group and classes of glomerular ECM protein that are unique to each mouse group Figure 11 Bar Relative sizes of the four protein classes in the common 73 7 matrisome Figure 12 Percentages that each of the protein classes contribute to the 75 glomerular matrisomes Figure 13 Mean
Recommended publications
  • Supervised Group Lasso with Applications to Microarray Data Analysis
    SUPERVISED GROUP LASSO WITH APPLICATIONS TO MICROARRAY DATA ANALYSIS Shuangge Ma1, Xiao Song2, and Jian Huang3 1Department of Epidemiology and Public Health, Yale University 2Department of Health Administration, Biostatistics and Epidemiology, University of Georgia 3Departments of Statistics and Actuarial Science, and Biostatistics, University of Iowa March 2007 The University of Iowa Department of Statistics and Actuarial Science Technical Report No. 375 1 Supervised group Lasso with applications to microarray data analysis Shuangge Ma¤1 Xiao Song 2and Jian Huang 3 1 Department of Epidemiology and Public Health, Yale University, New Haven, CT 06520, USA 2 Department of Health Administration, Biostatistics and Epidemiology, University of Georgia, Athens, GA 30602, USA 3 Department of Statistics and Actuarial Science, University of Iowa, Iowa City, IA 52242, USA Email: Shuangge Ma¤- [email protected]; Xiao Song - [email protected]; Jian Huang - [email protected]; ¤Corresponding author Abstract Background: A tremendous amount of e®orts have been devoted to identifying genes for diagnosis and prognosis of diseases using microarray gene expression data. It has been demonstrated that gene expression data have cluster structure, where the clusters consist of co-regulated genes which tend to have coordinated functions. However, most available statistical methods for gene selection do not take into consideration the cluster structure. Results: We propose a supervised group Lasso approach that takes into account the cluster structure in gene expression data for gene selection and predictive model building. For gene expression data without biological cluster information, we ¯rst divide genes into clusters using the K-means approach and determine the optimal number of clusters using the Gap method.
    [Show full text]
  • Exercise Training-Induced Extracellular Matrix Protein Adaptation in Locomotor Muscles: a Systematic Review
    cells Systematic Review Exercise Training-Induced Extracellular Matrix Protein Adaptation in Locomotor Muscles: A Systematic Review Efpraxia Kritikaki 1, Rhiannon Asterling 1, Lesley Ward 1 , Kay Padget 1, Esther Barreiro 2 and Davina C. M. Simoes 1,* 1 Faculty of Health and Life Sciences, Northumbria University Newcastle, Newcastle upon Tyne NE1 8ST, UK; effi[email protected] (E.K.); [email protected] (R.A.); [email protected] (L.W.); [email protected] (K.P.) 2 Pulmonology Department, Lung Cancer and Muscle Research Group, Hospital del Mar-IMIM, Parc de Salut Mar, Health and Experimental Sciences Department (CEXS), Universitat Pompeu Fabra (UPF), CIBERES, 08002 Barcelona, Spain; [email protected] * Correspondence: [email protected] Abstract: Exercise training promotes muscle adaptation and remodelling by balancing the processes of anabolism and catabolism; however, the mechanisms by which exercise delays accelerated muscle wasting are not fully understood. Intramuscular extracellular matrix (ECM) proteins are essential to tissue structure and function, as they create a responsive environment for the survival and repair of the muscle fibres. However, their role in muscle adaptation is underappreciated and underinvesti- gated. The PubMed, COCHRANE, Scopus and CIHNAL databases were systematically searched from inception until February 2021. The inclusion criteria were on ECM adaptation after exercise training in healthy adult population. Evidence from 21 studies on 402 participants demonstrates that exercise training induces muscle remodelling, and this is accompanied by ECM adaptation. All types Citation: Kritikaki, E.; Asterling, R.; of exercise interventions promoted a widespread increase in collagens, glycoproteins and proteo- Ward, L.; Padget, K.; Barreiro, E.; C.
    [Show full text]
  • Extracellular Matrix Composition of Connective Tissues: Systematic Review and Meta- Analysis
    1 Extracellular matrix composition of connective tissues: systematic review and meta- analysis Turney McKee, Dentistry Division of Biomedical Sciences, McGill University, Montreal Submitted April, 2018 A thesis submitted to McGill University in partial fulfillment of the requirements of the degree of Master of Science © Turney McKee 2018 2 Table of Contents Abstract • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • 3 Acknowledgements • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • 6 Contribution of Authors • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • 6 Introduction and Objectives • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • 7 Review of the Literature Connective tissue, general introduction • • • • • • • • • • • • • • • • • • • • • • • 9 Extracellular matrix and its components • • • • • • • • • • • • • • • • • • • • • • 9 ECM remodeling and structural requirements • • • • • • • • • • • • • • • • • • 12 Adipose tissue • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • 13 Tendon and ligament • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • •14 Bone • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • 15 Articular Cartilage • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • 15 IVD • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • 17 Relevance and importance of proteomic composition • • • • • • • • • • • • • • • 18 Methods
    [Show full text]
  • Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected]
    University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School July 2017 Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Pathology Commons Scholar Commons Citation Mohamed, Mai, "Role of Amylase in Ovarian Cancer" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6907 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Role of Amylase in Ovarian Cancer by Mai Mohamed A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Pathology and Cell Biology Morsani College of Medicine University of South Florida Major Professor: Patricia Kruk, Ph.D. Paula C. Bickford, Ph.D. Meera Nanjundan, Ph.D. Marzenna Wiranowska, Ph.D. Lauri Wright, Ph.D. Date of Approval: June 29, 2017 Keywords: ovarian cancer, amylase, computational analyses, glycocalyx, cellular invasion Copyright © 2017, Mai Mohamed Dedication This dissertation is dedicated to my parents, Ahmed and Fatma, who have always stressed the importance of education, and, throughout my education, have been my strongest source of encouragement and support. They always believed in me and I am eternally grateful to them. I would also like to thank my brothers, Mohamed and Hussien, and my sister, Mariam. I would also like to thank my husband, Ahmed.
    [Show full text]
  • Human PRELP ELISA Kit (ARG82754)
    Product datasheet [email protected] ARG82754 Package: 96 wells Human PRELP ELISA Kit Store at: 4°C Component Cat. No. Component Name Package Temp ARG82754-001 Antibody-coated 8 X 12 strips 4°C. Unused strips microplate should be sealed tightly in the air-tight pouch. ARG82754-002 Standard 2 X 10 ng/vial 4°C ARG82754-003 Standard/Sample 30 ml (Ready to use) 4°C diluent ARG82754-004 Antibody conjugate 1 vial (100 µl) 4°C concentrate (100X) ARG82754-005 Antibody diluent 12 ml (Ready to use) 4°C buffer ARG82754-006 HRP-Streptavidin 1 vial (100 µl) 4°C concentrate (100X) ARG82754-007 HRP-Streptavidin 12 ml (Ready to use) 4°C diluent buffer ARG82754-008 25X Wash buffer 20 ml 4°C ARG82754-009 TMB substrate 10 ml (Ready to use) 4°C (Protect from light) ARG82754-010 STOP solution 10 ml (Ready to use) 4°C ARG82754-011 Plate sealer 4 strips Room temperature Summary Product Description ARG82754 Human PRELP ELISA Kit is an Enzyme Immunoassay kit for the quantification of Human PRELP in serum, plasma (EDTA, heparin, citrate) and cell culture supernatants. Tested Reactivity Hu Tested Application ELISA Target Name PRELP Conjugation HRP Conjugation Note Substrate: TMB and read at 450 nm. Sensitivity 50 pg/ml Sample Type Serum, plasma (EDTA, heparin, citrate) and cell culture supernatants. Standard Range 93.8 - 6000 pg/ml Sample Volume 100 µl Precision Intra-Assay CV: 5.8% Inter-Assay CV: 6.3% www.arigobio.com 1/2 Alternate Names MST161; SLRR2A; Prolargin; Proline-arginine-rich end leucine-rich repeat protein; MSTP161 Application Instructions Assay Time ~ 5 hours Properties Form 96 well Storage instruction Store the kit at 2-8°C.
    [Show full text]
  • Clinical Impact of Copy Number Variation Changes in Bladder Cancer Samples
    EXPERIMENTAL AND THERAPEUTIC MEDICINE 22: 901, 2021 Clinical impact of copy number variation changes in bladder cancer samples VICTORIA SPASOVA1, BORIS MLADENOV2, SIMEON RANGELOV3, ZORA HAMMOUDEH1, DESISLAVA NESHEVA1, DIMITAR SERBEZOV1, RADA STANEVA1,4, SAVINA HADJIDEKOVA1,4, MIHAIL GANEV1, LUBOMIR BALABANSKI1,5, RADOSLAVA VAZHAROVA5,6, CHAVDAR SLAVOV3, DRAGA TONCHEVA1 and OLGA ANTONOVA1 1Department of Medical Genetics, Medical University‑Sofia, 1431 Sofia;2 Department of Urology, UMBALSM N.I. Pirogov, 1606 Sofia; 3Department of Urology, Tsaritsa Yoanna University Hospital, 1527 Sofia; 4Medical Genetics Laboratory, Nadezhda Women's Health Hospital, 1373 Sofia; 5Medical Genetics Laboratory, GARH Malinov, 1680 Sofia; 6Department of Biology, Medical Genetics and Microbiology, Faculty of Medicine, Sofia University St. Kliment Ohridski, 1407 Sofia, Bulgaria Received November 30, 2019; Accepted February 18, 2021 DOI: 10.3892/etm.2021.10333 Abstract. The aim of the present study was to detect copy uroepithelial tumours may lay a foundation for implementing number variations (CNVs) related to tumour progression and molecular CNV profiling of bladder tumours as part of a metastasis of urothelial carcinoma through whole‑genome routine progression risk estimation strategy, thus expanding scanning. A total of 30 bladder cancer samples staged from the personalized therapeutic approach. pTa to pT4 were included in the study. DNA was extracted from freshly frozen tissue via standard phenol‑chloroform extraction Introduction and CNV analysis was performed on two alternative platforms (CytoChip Oligo aCGH, 4x44K and Infinium OncoArray‑500K The most successful approach to treating a disease has BeadChip; Illumina, Inc.). Data were analysed with BlueFuse always been etiological therapy. In the case of bladder Multi software and Karyostudio, respectively.
    [Show full text]
  • Proteomics Analysis of Brain AVM Endothelium Post Irradiation in Pursuit of Targets for AVM Molecular Therapy
    Proteomics analysis of brain AVM endothelium post irradiation in pursuit of targets for AVM molecular therapy Margaret Simonian, BSc, MPhil A thesis presented for the degree of Doctor of Philosophy Australian School of Advanced Medicine Faculty of Medicine and Health Sciences Macquarie University Table of Contents LIST OF FIGURES AND TABLES ......................................................................................... 6 DECLARATION......................................................................................................................11 ACKNOWLEDGMENT ......................................................................................................... 12 Summary .................................................................................................................................. 13 Chapter1. General Introduction ............................................................................................... 14 1.1. Arteriovenous malformations and goals of project ........................................................... 15 1.1.1. Treatment options .......................................................................................................... 16 1.1.2. Development of new treatments for brain AVMs ........................................................... 20 1.2. Vascular endothelium ....................................................................................................... 24 1.2.1. Function of vascular endothelium ................................................................................
    [Show full text]
  • GSTT1 Copy Number Gain and ZNF Overexpression Are Predictors of Poor Response to Imatinib in Gastrointestinal Stromal Tumors
    GSTT1 Copy Number Gain and ZNF Overexpression Are Predictors of Poor Response to Imatinib in Gastrointestinal Stromal Tumors Eui Jin Lee1¤☯, Guhyun Kang1,4☯, Shin Woo Kang1,5, Kee-Taek Jang1, Jeeyun Lee2, Joon Oh Park2, Cheol Keun Park1, Tae Sung Sohn3, Sung Kim3, Kyoung-Mee Kim1* 1 Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, 2 Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, 3 Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, 4 Department of Pathology, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea, 5 Department of Mathematics, Korea University, Seoul, Korea Abstract Oncogenic mutations in gastrointestinal stromal tumors (GISTs) predict prognosis and therapeutic responses to imatinib. In wild-type GISTs, the tumor-initiating events are still unknown, and wild-type GISTs are resistant to imatinib therapy. We performed an association study between copy number alterations (CNAs) identified from array CGH and gene expression analyses results for four wild-type GISTs and an imatinib-resistant PDGFRA D842V mutant GIST, and compared the results to those obtained from 27 GISTs with KIT mutations. All wild-type GISTs had multiple CNAs, and CNAs in 1p and 22q that harbor the SDHB and GSTT1 genes, respectively, correlated well with expression levels of these genes. mRNA expression levels of all SDH gene subunits were significantly lower (P≤0.041), whereas mRNA expression levels of VEGF (P=0.025), IGF1R (P=0.026), and ZNFs (P<0.05) were significantly higher in GISTs with wild-type/PDGFRA D842V mutations than GISTs with KIT mutations.
    [Show full text]
  • Cell-Deposited Matrix Improves Retinal Pigment Epithelium Survival on Aged Submacular Human Bruch’S Membrane
    Retinal Cell Biology Cell-Deposited Matrix Improves Retinal Pigment Epithelium Survival on Aged Submacular Human Bruch’s Membrane Ilene K. Sugino,1 Vamsi K. Gullapalli,1 Qian Sun,1 Jianqiu Wang,1 Celia F. Nunes,1 Noounanong Cheewatrakoolpong,1 Adam C. Johnson,1 Benjamin C. Degner,1 Jianyuan Hua,1 Tong Liu,2 Wei Chen,2 Hong Li,2 and Marco A. Zarbin1 PURPOSE. To determine whether resurfacing submacular human most, as cell survival is the worst on submacular Bruch’s Bruch’s membrane with a cell-deposited extracellular matrix membrane in these eyes. (Invest Ophthalmol Vis Sci. 2011;52: (ECM) improves retinal pigment epithelial (RPE) survival. 1345–1358) DOI:10.1167/iovs.10-6112 METHODS. Bovine corneal endothelial (BCE) cells were seeded onto the inner collagenous layer of submacular Bruch’s mem- brane explants of human donor eyes to allow ECM deposition. here is no fully effective therapy for the late complications of age-related macular degeneration (AMD), the leading Control explants from fellow eyes were cultured in medium T cause of blindness in the United States. The prevalence of only. The deposited ECM was exposed by removing BCE. Fetal AMD-associated choroidal new vessels (CNVs) and/or geo- RPE cells were then cultured on these explants for 1, 14, or 21 graphic atrophy (GA) in the U.S. population 40 years and older days. The explants were analyzed quantitatively by light micros- is estimated to be 1.47%, with 1.75 million citizens having copy and scanning electron microscopy. Surviving RPE cells from advanced AMD, approximately 100,000 of whom are African explants cultured for 21 days were harvested to compare bestro- American.1 The prevalence of AMD increases dramatically with phin and RPE65 mRNA expression.
    [Show full text]
  • Proteoglycan Form and Function: a Comprehensive Nomenclature of Proteoglycans
    HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Matrix Biol Manuscript Author . Author manuscript; Manuscript Author available in PMC 2016 May 06. Published in final edited form as: Matrix Biol. 2015 March ; 42: 11–55. doi:10.1016/j.matbio.2015.02.003. Proteoglycan form and function: A comprehensive nomenclature of proteoglycans Renato V. Iozzo1 and Liliana Schaefer2 1Department of Pathology, Anatomy and Cell Biology and the Cancer Cell Biology and Signaling Program, Kimmel Cancer Center, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA 19107, USA 2Pharmazentrum Frankfurt/ZAFES, Institut für Allgemeine Pharmakologie und Toxikologie, Klinikum der Goethe-Universität Frankfurt am Main, Frankfurt am Main, Germany Abstract We provide a comprehensive classification of the proteoglycan gene families and respective protein cores. This updated nomenclature is based on three criteria: Cellular and subcellular location, overall gene/protein homology, and the utilization of specific protein modules within their respective protein cores. These three signatures were utilized to design four major classes of proteoglycans with distinct forms and functions: the intracellular, cell-surface, pericellular and extracellular proteoglycans. The proposed nomenclature encompasses forty-three distinct proteoglycan-encoding genes and many alternatively-spliced variants. The biological functions of these four proteoglycan families are critically assessed in development, cancer and angiogenesis, and in various acquired and genetic diseases where their expression is aberrant. Keywords Proteoglycan; Glycosaminoglycan; Cancer growth; Angiogenesis; Growth factor modulation Introduction It has been nearly 20 years since the original publication of a comprehensive classification of proteoglycan gene families [1]. For the most part, these classes have been widely accepted. However, a broad and current taxonomy of the various proteoglycan gene families and their products is not available.
    [Show full text]
  • Chondrocyte Secretome: a Source of Novel Insights and Exploratory Biomarkers of Osteoarthritis
    Osteoarthritis and Cartilage xxx (2017) 1e11 Review Chondrocyte secretome: a source of novel insights and exploratory biomarkers of osteoarthritis * C. Sanchez yz , A.-C. Bay-Jensen zx,T.Papzk, M. Dvir-Ginzberg z ¶, H. Quasnichka zyy, R. Barrett-Jolley z #, A. Mobasheri zyyzzxxkk, Y. Henrotin yz y Bone and Cartilage Research Unit, Arthropole^ Liege, University of Liege, CHU Sart-Tilman, Belgium z The D-BOARD European Consortium for Biomarker Discovery x Department of Rheumatology, Biomarkers and Research, Nordic Bioscience, Herlev Hovedgade 207, 2730, Herlev, Denmark k Institute of Experimental Musculoskeletal Medicine, University Hospital Munster, Domagkstrasse 3, D-48149, Munster, Germany ¶ Institute of Dental Sciences, Faculty of Dental Medicine, Hebrew University of Jerusalem, P.O. Box 12272, Jerusalem, 91120, Israel # Department of Musculoskeletal Biology, Institute of Ageing and Chronic Disease, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, United Kingdom yy Department of Veterinary Pre-Clinical Sciences, School of Veterinary Medicine, University of Surrey, Guildford, GU2 7AL, United Kingdom zz Faculty of Health and Medical Sciences, Duke of Kent Building, University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom xx Arthritis Research UK Centre for Sport, Exercise and Osteoarthritis, Queen's Medical Centre, Nottingham, NG7 2UH, United Kingdom kk Center of Excellence in Genomic Medicine Research (CEGMR), King Fahd Medical Research Center (KFMRC), Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 21589, Saudi Arabia article info summary Article history: The extracellular matrix (ECM) of articular cartilage is comprised of complex networks of proteins and Received 30 November 2016 glycoproteins, all of which are expressed by its resident cell, the chondrocyte.
    [Show full text]
  • Mapping the Differential Distribution of Proteoglycan Core Proteins in the Adult Human Retina, Choroid, and Sclera
    Anatomy and Pathology Mapping the Differential Distribution of Proteoglycan Core Proteins in the Adult Human Retina, Choroid, and Sclera Tiarnan D. L. Keenan,1,3,4 Simon J. Clark,1,4 Richard D. Unwin,4 Liam A. Ridge,2 Anthony J. Day,*,2 and Paul N. Bishop*,1,3,4 PURPOSE. To examine the presence and distribution of comprehensive analysis of the presence and distribution of proteoglycan (PG) core proteins in the adult human retina, PG core proteins throughout the human retina, choroid, and choroid, and sclera. sclera. This complements our knowledge of glycosaminoglycan chain distribution in the human eye, and has important METHODS. Postmortem human eye tissue was dissected into Bruch’s membrane/choroid complex, isolated Bruch’s mem- implications for understanding the structure and functional brane, or neurosensory retina. PGs were extracted and partially regulation of the eye in health and disease. (Invest Ophthalmol 2012;53:7528–7538) DOI:10.1167/iovs.12-10797 purified by anion exchange chromatography. Trypsinized Vis Sci. peptides were analyzed by tandem mass spectrometry and PG core proteins identified by database search. The distribu- roteoglycans (PGs) are present in mammalian tissues, both tion of PGs was examined by immunofluorescence microscopy Pon cell surfaces and in the extracellular matrix, where they on human macular tissue sections. play crucial roles in development, homeostasis, and disease.1,2 RESULTS. The basement membrane PGs perlecan, agrin, and PGs are composed of a core protein covalently bound to one or collagen-XVIII were identified in the human retina, and were more glycosaminoglycan (GAG) chains, where the core protein present in the internal limiting membrane, blood vessel walls, typically consists of multiple domains with distinct structural and Bruch’s membrane.
    [Show full text]