DOCSLIB.ORG

Tumour-Stroma Signalling in Cancer Cell Motility and Metastasis

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Tumour-Stroma Signalling in Cancer Cell Motility and Metastasis Tumour-Stroma Signalling in Cancer Cell Motility and Metastasis by Valbona Luga A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy, Department of Molecular Genetics, University of Toronto © Copyright by Valbona Luga, 2013 Tumour-Stroma Signalling in Cancer Cell Motility and Metastasis Valbona Luga Doctor of Philosophy Department of Molecular Genetics University of Toronto 2013 Abstract The tumour-associated stroma, consisting of fibroblasts, inflammatory cells, vasculature and extracellular matrix proteins, plays a critical role in tumour growth, but how it regulates cancer cell migration and metastasis is poorly understood. The Wnt-planar cell polarity (PCP) pathway regulates convergent extension movements in vertebrate development. However, it is unclear whether this pathway also functions in cancer cell migration. In addition, the factors that mobilize long-range signalling of Wnt morphogens, which are tightly associated with the plasma membrane, have yet to be completely characterized. Here, I show that fibroblasts secrete membrane microvesicles of endocytic origin, termed exosomes, which promote tumour cell protrusive activity, motility and metastasis via the exosome component Cd81. In addition, I demonstrate that fibroblast exosomes activate autocrine Wnt-PCP signalling in breast cancer cells as detected by the association of Wnt with Fzd receptors and the asymmetric distribution of Fzd-Dvl and Vangl-Pk complexes in exosome-stimulated cancer cell protrusive structures. Moreover, I show that Pk expression in breast cancer cells is essential for fibroblast-stimulated cancer cell metastasis. Lastly, I reveal that trafficking in cancer cells promotes tethering of autocrine Wnt11 to fibroblast exosomes. These studies further our understanding of the role of ii the tumour-associated stroma in cancer metastasis and bring us closer to a more targeted approach for the treatment of cancer spread. iii Acknowledgements My journey as a PhD student has been an amazing learning experience. This would not have been possible without a number of people who were there for me to share both the challenges and rewards of my scientific endeavours. Jeff, it has been an honour and privilege to be your student. I am deeply grateful to you for believing in me and helping me realize that science is my call in life. Your passion, brilliance and mastery of science will always be an inspiration to me. Lil, thank you for your support and advice. You are an important role model to me and I am very grateful for your mentorship. Thanks to my committee members, Dr. Igor Jurisica, Dr. David Kaplan and Dr. Rama Khokha, for their suggestions and support. Thank you to all the past and current members of the Wrana and Attisano labs. I spent the last nine years of my life mainly in the lab and many of you became my friends and family. John, thank you for your mentorship during my first year in the lab when I barely knew about science. Christine, thank you for teaching me as a young student, aka your “little One”, how to properly design and carry out experiments. You are a remarkable scientist and I am particularly proud to be your friend. Miriam, I will always be thankful to you for your support and encouragment during my search for the “Luga factors”. Your wisdom and advice have been greatly helpful to me throughout my PhD career. I deeply cherish our friendship and will sorely miss our laughs. Abi, thanks for being a good friend and I will miss our chats by the phosphoimager. Liang, thank you for your help; it was a pleasure working with you. Alicia, thank you for your help and friendship. To everyone else, thank you for your support and friendship. I will miss all of you. To my family, thank you for your unconditional love and helping me become the person I am today. Dad, you taught me to dream big and believe in myself. Rovi, your intelligence, talent and search for perfection have been deeply inspirational to me. Koli, your bigheartedness and sense of justice are your best virtues and I look up to you for that. Calvin, Jason, Brandon, Laetitia and Delora, I thank you for bringing pure joy to my life. Mom, your love and devotion iv to your children is unparalleled. You taught me early in my life to work hard and be thorough; these lessons served me well during my PhD. I dedicate this thesis to you. Finally, Rohit, thank you for being by my side for the last eleven years. Your wisdom, patience and love have been crucial for my professional and personal growth. Words cannot express my gratitude and love for you and I look forward to our life journey together. v Table of Contents Abstract .......................................................................................................................... ii Acknowledgements ...................................................................................................... iv Table of Contents .......................................................................................................... vi List of Figures and Tables ........................................................................................... ix List of Abbreviations and Symbols .............................................................................. x Chapter 1 : General Introduction .................................................................................. 1 1.1. Cell Motility and Cancer .................................................................................................. 2 1.1.1. Overview of cancer hallmarks .................................................................................................... 2 1.1.2. Autonomous cancer hallmarks ................................................................................................... 2 1.1.3. Neovascularization and suppression of the immune system ..................................................... 5 1.1.4. Apical-basolateral cell polarity as a barrier to tumour cell invasiveness .................................... 8 1.1.5. Tumour cell migration .............................................................................................................. 12 1.1.6. Metastasis – colonization of distant organs ............................................................................. 22 1.1.7. The tumour microenvironment ................................................................................................. 27 1.1.8. Fibroblasts as components of the tumour microenvironment .................................................. 30 1.1.9. Identification and function of cancer stem-like cells ................................................................. 32 1.2. Noncanonical Wnt-Planar Cell Polarity Pathway ........................................................ 33 1.2.1. Planar cell polarity and its manifestations ................................................................................ 33 1.2.2. Molecular PCP components in the fly ...................................................................................... 36 1.2.3. Models of PCP signalling in the fly ........................................................................................... 37 1.2.4. PCP signalling in vertebrates ................................................................................................... 39 1.2.5. Wnt structure and post-translational modifications .................................................................. 44 1.2.6. Wnt signalling pathways .......................................................................................................... 46 1.2.7. Role of PCP in cell motility and cancer .................................................................................... 49 1.3. Exosomes as Potent Mediators of Intercellular Communication .............................. 50 1.3.1. Modes of intercellular communication ...................................................................................... 50 1.3.2. Introduction to exosomes ......................................................................................................... 50 1.3.3. Exosome biogenesis ................................................................................................................ 51 1.3.4. Exosome components ............................................................................................................. 54 1.3.5. Exosome functions ................................................................................................................... 55 1.3.6. Exosomes as biomarkers for disease ...................................................................................... 57 1.3.7. Exosomes as therapeutic tools ................................................................................................ 57 vi 1.3.8. Tetraspanins – masters of multiple biological functions ........................................................... 58 1.3.9. Cd81 – an exemplary tetraspanin ............................................................................................ 63 1.4. Overview of Thesis ........................................................................................................ 67 Chapter 2 : Fibroblast-secreted Exosomes Regulate Breast Cancer Cell Motility and Metastasis ............................................................................................................. 69 2.1. Introduction .................................................................................................................... 70 2.2. Materials
Load more

Recommended publications
  • Datasheet Blank Template
    SAN TA C RUZ BI OTEC HNOL OG Y, INC . DIP2A (L-16): sc-67555 BACKGROUND APPLICATIONS DIP2A (Disco-interacting protein 2 homolog A), also known as DIP2, is a 1,571 DIP2A (L-16) is recommended for detection of DIP2A of human origin by amino acid nuclear protein. It is one of three human homologs (DIP2A, DIP2B Western Blotting (starting dilution 1:200, dilution range 1:100-1:1000), and DIP2C) of the Drosophila dip2 (disconnected-interacting protein 2) protein. immunoprecipitation [1-2 µg per 100-500 µg of total protein (1 ml of cell In Drosophila , dip2 interacts with disco, a protein required for neuronal con - lysate)], immunofluorescence (starting dilution 1:50, dilution range 1:50- nections in the visual systems of larvae and adults. The closest vertebrate 1:500) and solid phase ELISA (starting dilution 1:30, dilution range 1:30- homologs to disco are the basonuclin genes. In mice, DIP2 homologs show 1:3000). restricted expression to the brain. This suggests that, similar to the function DIP2A (L-16) is also recommended for detection of DIP2A, also designated of Drosphila dip2, vertebrate DIP2 homologs may play a role in the develop - Disco-interacting protein 2 homolog A, in additional species, including ment of the nervous system. Expressed ubiquitously with highest expression canine. in the brain, DIP2A is thought to function in signaling throughout the central nervous system by providing positional clues for axon patterning and pathfind - Suitable for use as control antibody for DIP2A siRNA (h): sc-62212, DIP2A ing . Four isoforms of DIP2A exist due to alternative splicing events.
    [Show full text]
  • Small Cell Ovarian Carcinoma: Genomic Stability and Responsiveness to Therapeutics
    Gamwell et al. Orphanet Journal of Rare Diseases 2013, 8:33 http://www.ojrd.com/content/8/1/33 RESEARCH Open Access Small cell ovarian carcinoma: genomic stability and responsiveness to therapeutics Lisa F Gamwell1,2, Karen Gambaro3, Maria Merziotis2, Colleen Crane2, Suzanna L Arcand4, Valerie Bourada1,2, Christopher Davis2, Jeremy A Squire6, David G Huntsman7,8, Patricia N Tonin3,4,5 and Barbara C Vanderhyden1,2* Abstract Background: The biology of small cell ovarian carcinoma of the hypercalcemic type (SCCOHT), which is a rare and aggressive form of ovarian cancer, is poorly understood. Tumourigenicity, in vitro growth characteristics, genetic and genomic anomalies, and sensitivity to standard and novel chemotherapeutic treatments were investigated in the unique SCCOHT cell line, BIN-67, to provide further insight in the biology of this rare type of ovarian cancer. Method: The tumourigenic potential of BIN-67 cells was determined and the tumours formed in a xenograft model was compared to human SCCOHT. DNA sequencing, spectral karyotyping and high density SNP array analysis was performed. The sensitivity of the BIN-67 cells to standard chemotherapeutic agents and to vesicular stomatitis virus (VSV) and the JX-594 vaccinia virus was tested. Results: BIN-67 cells were capable of forming spheroids in hanging drop cultures. When xenografted into immunodeficient mice, BIN-67 cells developed into tumours that reflected the hypercalcemia and histology of human SCCOHT, notably intense expression of WT-1 and vimentin, and lack of expression of inhibin. Somatic mutations in TP53 and the most common activating mutations in KRAS and BRAF were not found in BIN-67 cells by DNA sequencing.
    [Show full text]
  • Urabe VK, Et Al. Influences on U2 Snrna Structure U2
    bioRxiv preprint doi: https://doi.org/10.1101/2021.07.05.451154; this version posted July 6, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Urabe VK, et al. Influences on U2 snRNA structure U2 snRNA structure is influenced by SF3A and SF3B proteins but not by SF3B inhibitors Veronica K. Urabe1, Meredith Stevers1, Arun K. Ghosh3 and Melissa S. Jurica1,2 * 1Department of Molecular Cell and Developmental Biology and 2Center for Molecular Biology of RNA, University of California, Santa Cruz, California, United States of America 3Department of Chemistry and Department of Medicinal Chemistry, Purdue University, West Lafayette, Indiana United States of America *Corresponding author E-mail: [email protected] (MSJ) bioRxiv preprint doi: https://doi.org/10.1101/2021.07.05.451154; this version posted July 6, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Urabe VK, et al. Influences on U2 snRNA structure Abstract U2 snRNP is an essential component of the spliceosome. It is responsible for branch point recognition in the spliceosome A-complex via base-pairing of U2 snRNA with an intron to form the branch helix. Small molecule inhibitors target the SF3B component of the U2 snRNP and interfere with A-complex formation during spliceosome assembly.
    [Show full text]
  • Impact of Natural HIV-1 Nef Alleles and Polymorphisms on SERINC3/5 Downregulation
    Impact of natural HIV-1 Nef alleles and polymorphisms on SERINC3/5 downregulation by Steven W. Jin B.Sc., Simon Fraser University, 2016 Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Master of Science Program Faculty of Health Sciences © Steven W. Jin 2019 SIMON FRASER UNIVERSITY Spring 2019 Copyright in this work rests with the author. Please ensure that any reproduction or re-use is done in accordance with the relevant national copyright legislation. Approval Name: Steven W. Jin Degree: Master of Science Title: Impact of natural HIV-1 Nef alleles and polymorphisms on SERINC3/5 downregulation Examining Committee: Chair: Kanna Hayashi Assistant Professor Mark Brockman Senior Supervisor Associate Professor Masahiro Niikura Supervisor Associate Professor Ralph Pantophlet Supervisor Associate Professor Lisa Craig Examiner Professor Department of Molecular Biology and Biochemistry Date Defended/Approved: April 25, 2019 ii Ethics Statement iii Abstract HIV-1 Nef is a multifunctional accessory protein required for efficient viral pathogenesis. It was recently identified that the serine incorporators (SERINC) 3 and 5 are host restriction factors that decrease the infectivity of HIV-1 when incorporated into newly formed virions. However, Nef counteracts these effects by downregulating SERINC from the cell surface. Currently, there lacks a comprehensive study investigating the impact of primary Nef alleles on SERINC downregulation, as most studies to date utilize lab- adapted or reference HIV strains. In this thesis, I characterized and compared SERINC downregulation from >400 Nef alleles isolated from patients with distinct clinical outcomes and subtypes. I found that primary Nef alleles displayed a dynamic range of SERINC downregulation abilities, thus allowing naturally-occurring polymorphisms that modulate this activity to be identified.
    [Show full text]
  • Transcriptome Analyses of Rhesus Monkey Pre-Implantation Embryos Reveal A
    Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Transcriptome analyses of rhesus monkey pre-implantation embryos reveal a reduced capacity for DNA double strand break (DSB) repair in primate oocytes and early embryos Xinyi Wang 1,3,4,5*, Denghui Liu 2,4*, Dajian He 1,3,4,5, Shengbao Suo 2,4, Xian Xia 2,4, Xiechao He1,3,6, Jing-Dong J. Han2#, Ping Zheng1,3,6# Running title: reduced DNA DSB repair in monkey early embryos Affiliations: 1 State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 2 Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China 3 Yunnan Key Laboratory of Animal Reproduction, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 4 University of Chinese Academy of Sciences, Beijing, China 5 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China 6 Primate Research Center, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China * Xinyi Wang and Denghui Liu contributed equally to this work 1 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press # Correspondence: Jing-Dong J. Han, Email: [email protected]; Ping Zheng, Email: [email protected] Key words: rhesus monkey, pre-implantation embryo, DNA damage 2 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Pre-implantation embryogenesis encompasses several critical events including genome reprogramming, zygotic genome activation (ZGA) and cell fate commitment.
    [Show full text]
  • Supplementary Table S1. Upregulated Genes Differentially
    Supplementary Table S1. Upregulated genes differentially expressed in athletes (p < 0.05 and 1.3-fold change) Gene Symbol p Value Fold Change 221051_s_at NMRK2 0.01 2.38 236518_at CCDC183 0.00 2.05 218804_at ANO1 0.00 2.05 234675_x_at 0.01 2.02 207076_s_at ASS1 0.00 1.85 209135_at ASPH 0.02 1.81 228434_at BTNL9 0.03 1.81 229985_at BTNL9 0.01 1.79 215795_at MYH7B 0.01 1.78 217979_at TSPAN13 0.01 1.77 230992_at BTNL9 0.01 1.75 226884_at LRRN1 0.03 1.74 220039_s_at CDKAL1 0.01 1.73 236520_at 0.02 1.72 219895_at TMEM255A 0.04 1.72 201030_x_at LDHB 0.00 1.69 233824_at 0.00 1.69 232257_s_at 0.05 1.67 236359_at SCN4B 0.04 1.64 242868_at 0.00 1.63 1557286_at 0.01 1.63 202780_at OXCT1 0.01 1.63 1556542_a_at 0.04 1.63 209992_at PFKFB2 0.04 1.63 205247_at NOTCH4 0.01 1.62 1554182_at TRIM73///TRIM74 0.00 1.61 232892_at MIR1-1HG 0.02 1.61 204726_at CDH13 0.01 1.6 1561167_at 0.01 1.6 1565821_at 0.01 1.6 210169_at SEC14L5 0.01 1.6 236963_at 0.02 1.6 1552880_at SEC16B 0.02 1.6 235228_at CCDC85A 0.02 1.6 1568623_a_at SLC35E4 0.00 1.59 204844_at ENPEP 0.00 1.59 1552256_a_at SCARB1 0.02 1.59 1557283_a_at ZNF519 0.02 1.59 1557293_at LINC00969 0.03 1.59 231644_at 0.01 1.58 228115_at GAREM1 0.01 1.58 223687_s_at LY6K 0.02 1.58 231779_at IRAK2 0.03 1.58 243332_at LOC105379610 0.04 1.58 232118_at 0.01 1.57 203423_at RBP1 0.02 1.57 AMY1A///AMY1B///AMY1C///AMY2A///AMY2B// 208498_s_at 0.03 1.57 /AMYP1 237154_at LOC101930114 0.00 1.56 1559691_at 0.01 1.56 243481_at RHOJ 0.03 1.56 238834_at MYLK3 0.01 1.55 213438_at NFASC 0.02 1.55 242290_at TACC1 0.04 1.55 ANKRD20A1///ANKRD20A12P///ANKRD20A2///
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Advancing a Clinically Relevant Perspective of the Clonal Nature of Cancer
    Advancing a clinically relevant perspective of the clonal nature of cancer Christian Ruiza,b, Elizabeth Lenkiewicza, Lisa Eversa, Tara Holleya, Alex Robesona, Jeffrey Kieferc, Michael J. Demeurea,d, Michael A. Hollingsworthe, Michael Shenf, Donna Prunkardf, Peter S. Rabinovitchf, Tobias Zellwegerg, Spyro Moussesc, Jeffrey M. Trenta,h, John D. Carpteni, Lukas Bubendorfb, Daniel Von Hoffa,d, and Michael T. Barretta,1 aClinical Translational Research Division, Translational Genomics Research Institute, Scottsdale, AZ 85259; bInstitute for Pathology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; cGenetic Basis of Human Disease, Translational Genomics Research Institute, Phoenix, AZ 85004; dVirginia G. Piper Cancer Center, Scottsdale Healthcare, Scottsdale, AZ 85258; eEppley Institute for Research in Cancer and Allied Diseases, Nebraska Medical Center, Omaha, NE 68198; fDepartment of Pathology, University of Washington, Seattle, WA 98105; gDivision of Urology, St. Claraspital and University of Basel, 4058 Basel, Switzerland; hVan Andel Research Institute, Grand Rapids, MI 49503; and iIntegrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, AZ 85004 Edited* by George F. Vande Woude, Van Andel Research Institute, Grand Rapids, MI, and approved June 10, 2011 (received for review March 11, 2011) Cancers frequently arise as a result of an acquired genomic insta- on the basis of morphology alone (8). Thus, the application of bility and the subsequent clonal evolution of neoplastic cells with purification methods such as laser capture microdissection does variable patterns of genetic aberrations. Thus, the presence and not resolve the complexities of many samples. A second approach behaviors of distinct clonal populations in each patient’s tumor is to passage tumor biopsies in tissue culture or in xenografts (4, 9– may underlie multiple clinical phenotypes in cancers.
    [Show full text]
  • Epigenetic Mechanisms of Lncrnas Binding to Protein in Carcinogenesis
    cancers Review Epigenetic Mechanisms of LncRNAs Binding to Protein in Carcinogenesis Tae-Jin Shin, Kang-Hoon Lee and Je-Yoel Cho * Department of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul 08826, Korea; [email protected] (T.-J.S.); [email protected] (K.-H.L.) * Correspondence: [email protected]; Tel.: +82-02-800-1268 Received: 21 September 2020; Accepted: 9 October 2020; Published: 11 October 2020 Simple Summary: The functional analysis of lncRNA, which has recently been investigated in various fields of biological research, is critical to understanding the delicate control of cells and the occurrence of diseases. The interaction between proteins and lncRNA, which has been found to be a major mechanism, has been reported to play an important role in cancer development and progress. This review thus organized the lncRNAs and related proteins involved in the cancer process, from carcinogenesis to metastasis and resistance to chemotherapy, to better understand cancer and to further develop new treatments for it. This will provide a new perspective on clinical cancer diagnosis, prognosis, and treatment. Abstract: Epigenetic dysregulation is an important feature for cancer initiation and progression. Long non-coding RNAs (lncRNAs) are transcripts that stably present as RNA forms with no translated protein and have lengths larger than 200 nucleotides. LncRNA can epigenetically regulate either oncogenes or tumor suppressor genes. Nowadays, the combined research of lncRNA plus protein analysis is gaining more attention. LncRNA controls gene expression directly by binding to transcription factors of target genes and indirectly by complexing with other proteins to bind to target proteins and cause protein degradation, reduced protein stability, or interference with the binding of other proteins.
    [Show full text]
  • Dual Regulation of Planar Polarization by Secreted Wnts and Vangl2 in the Developing Mouse Cochlea Elvis Huarcaya Najarro1, Jennifer Huang1, Adrian Jacobo2, Lee A
    © 2020. Published by The Company of Biologists Ltd | Development (2020) 147, dev191981. doi:10.1242/dev.191981 RESEARCH ARTICLE Dual regulation of planar polarization by secreted Wnts and Vangl2 in the developing mouse cochlea Elvis Huarcaya Najarro1, Jennifer Huang1, Adrian Jacobo2, Lee A. Quiruz1, Nicolas Grillet1 and Alan G. Cheng1,* ABSTRACT on the other. Flamingo (Fmi/Celsr1, Fmi/Celsr2 and Fmi/Celsr3) is Planar cell polarity (PCP) proteins localize asymmetrically to instruct present on both poles of the cell. Defective PCP signaling cell polarity within the tissue plane, with defects leading to deformities represented by a lack of polarized PCP components leads to of the limbs, neural tube and inner ear. Wnt proteins are evolutionarily congenital heart and tracheal abnormalities, skeletal dysplasia, conserved polarity cues, yet Wnt mutants display variable PCP neural tube defects as well as cochlear deformities (Butler and defects; thus, how Wnts regulate PCP remains unresolved. Here, we Wallingford, 2017; White et al., 2018). Despite their crucial roles, have used the developing cochlea as a model system to show that our understanding of upstream signals orchestrating PCP signaling secreted Wnts regulate PCP through polarizing a specific subset of is rather limited. PCP proteins. Conditional deletion of Wntless or porcupine, both of Wnt proteins have been implicated as upstream polarity cues for which are essential for secretion of Wnts, caused misrotated sensory PCP signaling. For example, limb morphogenesis in mice requires a cells and shortened cochlea – both hallmarks of PCP defects. gradient of Wnt5a, which has been reported to act as an instructive Wntless-deficient cochleae lacked the polarized PCP components cue to establish PCP (Gao et al., 2018, 2011).
    [Show full text]
  • 1 Supporting Information for a Microrna Network Regulates
    Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia.
    [Show full text]
  • Supplemental Information
    Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig.
    [Show full text]