Genomic Locus Modulating IOP in the BXD RI Mouse Strains
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Propranolol-Mediated Attenuation of MMP-9 Excretion in Infants with Hemangiomas
Supplementary Online Content Thaivalappil S, Bauman N, Saieg A, Movius E, Brown KJ, Preciado D. Propranolol-mediated attenuation of MMP-9 excretion in infants with hemangiomas. JAMA Otolaryngol Head Neck Surg. doi:10.1001/jamaoto.2013.4773 eTable. List of All of the Proteins Identified by Proteomics This supplementary material has been provided by the authors to give readers additional information about their work. © 2013 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 10/01/2021 eTable. List of All of the Proteins Identified by Proteomics Protein Name Prop 12 mo/4 Pred 12 mo/4 Δ Prop to Pred mo mo Myeloperoxidase OS=Homo sapiens GN=MPO 26.00 143.00 ‐117.00 Lactotransferrin OS=Homo sapiens GN=LTF 114.00 205.50 ‐91.50 Matrix metalloproteinase‐9 OS=Homo sapiens GN=MMP9 5.00 36.00 ‐31.00 Neutrophil elastase OS=Homo sapiens GN=ELANE 24.00 48.00 ‐24.00 Bleomycin hydrolase OS=Homo sapiens GN=BLMH 3.00 25.00 ‐22.00 CAP7_HUMAN Azurocidin OS=Homo sapiens GN=AZU1 PE=1 SV=3 4.00 26.00 ‐22.00 S10A8_HUMAN Protein S100‐A8 OS=Homo sapiens GN=S100A8 PE=1 14.67 30.50 ‐15.83 SV=1 IL1F9_HUMAN Interleukin‐1 family member 9 OS=Homo sapiens 1.00 15.00 ‐14.00 GN=IL1F9 PE=1 SV=1 MUC5B_HUMAN Mucin‐5B OS=Homo sapiens GN=MUC5B PE=1 SV=3 2.00 14.00 ‐12.00 MUC4_HUMAN Mucin‐4 OS=Homo sapiens GN=MUC4 PE=1 SV=3 1.00 12.00 ‐11.00 HRG_HUMAN Histidine‐rich glycoprotein OS=Homo sapiens GN=HRG 1.00 12.00 ‐11.00 PE=1 SV=1 TKT_HUMAN Transketolase OS=Homo sapiens GN=TKT PE=1 SV=3 17.00 28.00 ‐11.00 CATG_HUMAN Cathepsin G OS=Homo -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Learning from Cadherin Structures and Sequences: Affinity Determinants and Protein Architecture
Learning from cadherin structures and sequences: affinity determinants and protein architecture Klára Fels ıvályi Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Klara Felsovalyi All rights reserved ABSTRACT Learning from cadherin structures and sequences: affinity determinants and protein architecture Klara Felsovalyi Cadherins are a family of cell-surface proteins mediating adhesion that are important in development and maintenance of tissues. The family is defined by the repeating cadherin domain (EC) in their extracellular region, but they are diverse in terms of protein size, architecture and cellular function. The best-understood subfamily is the type I classical cadherins, which are found in vertebrates and have five EC domains. Among the five different type I classical cadherins, the binding interactions are highly specific in their homo- and heterophilic binding affinities, though their sequences are very similar. As previously shown, E- and N-cadherins, two prototypic members of the subfamily, differ in their homophilic K D by about an order of magnitude, while their heterophilic affinity is intermediate. To examine the source of the binding affinity differences among type I cadherins, we used crystal structures, analytical ultracentrifugation (AUC), surface plasmon resonance (SPR), and electron paramagnetic resonance (EPR) studies. Phylogenetic analysis and binding affinity behavior show that the type I cadherins can be further divided into two subgroups, with E- and N-cadherin representing each. In addition to the affinity differences in their wild-type binding through the strand-swapped interface, a second interface also shows an affinity difference between E- and N-cadherin. -
Human Prostate Cancer Cell Apoptosis
HUMAN PROSTATE CANCER CELL APOPTOSIS INDUCED BY INTERFERON-γ AND DOUBLE-STRANDED RNA AND STUDIES ON THE BIOLOGICAL ROLES OF TRANSMEMBRANE AND COILED-COIL DOMAINS 1 HAIYAN TAN Bachelor of Science in Medicine Norman Bethune University of Medical Sciences, China July, 1995 Submitted in partial fulfillment of the requirements for the degree DOCTOR OF PHILOSOPHY IN CLINICAL AND BIOANALYTICAL CHEMISTRY at the CLEVEALND STATE UNIVERSTIY August, 2010 This dissertation has been approved for the Department of Chemistry and the College of Graduate Studies by Dissertation Committee Chairperson, Dr. Aimin Zhou Department & Date Dr. David Anderson Department & Date Dr. Xue-long Sun Department & Date Dr. Crystal M Weyman Department & Date Dr. Sihe Wang Department & Date ACKNOWLEDGEMENTS First and foremost, I want to heartily thank my advisor, Dr. Aimin Zhou, for his exceptional mentorship and constant support throughout my Ph.D. work. He was always available to listen to and discuss my ideas and questions, and showed me different ways to research problems. Most importantly, he taught me the need to be persistent to accomplish any goal, and his optimistic attitude toward his career and life has deeply affected me. I would like to express my special appreciation to my advisory committee, Dr. David Anderson, Dr. Crystal M Weyman, Dr. Sihe Wang, and Dr. Xue-long Sun, for their advice, encouragement, and support. Dr. Anderson provided me with a lot of encouragement and support. His instruction for my first job interview in the United States really touched me. Dr. Weyman is a model of a successful woman scientist and her instruction is always helpful. -
Homozygous Frameshift Mutation in TMCO1 Causes a Syndrome with Craniofacial Dysmorphism, Skeletal Anomalies, and Mental Retardation
Homozygous frameshift mutation in TMCO1 causes a syndrome with craniofacial dysmorphism, skeletal anomalies, and mental retardation Baozhong Xina, Erik G. Puffenbergerb,c, Susan Turbena, Haiyan Tand, Aimin Zhoud, and Heng Wanga,e,f,1 aDDC Clinic for Special Needs Children, Middlefield, OH 44062; bThe Clinic for Special Children, Strasburg, PA 17579; cDepartment of Biology, Franklin and Marshall College, Lancaster, PA 17603; dDepartment of Chemistry, Cleveland State University, Cleveland, OH 44115; eDepartment of Pediatrics, Rainbow Babies and Children’s Hospital, Cleveland, OH 44106; and fDepartment of Molecular Cardiology, Cleveland Clinic, Cleveland, OH 44195 Edited by Albert de la Chapelle, Ohio State University Comprehensive Cancer Center, Columbus, OH, and approved November 18, 2009 (received for review July 27, 2009) We identified an autosomal recessive condition in 11 individuals Results in the Old Order Amish of northeastern Ohio. The syndrome was Clinical Phenotype. TMCO1 defect syndrome was diagnosed in 11 characterized by distinctive craniofacial dysmorphism, skeletal individuals (6 males, 5 females) ranging in age from 3 to 39 years. anomalies, and mental retardation. The typical craniofacial dys- All 11 patients demonstrated Old Order Amish ancestry, and morphism included brachycephaly, highly arched bushy eye- genealogical analyses revealed multiple lines of common descent brows, synophrys, long eyelashes, low-set ears, microdontism of between all parents of affected children (Fig. 1). The phenotype primary teeth, and generalized gingival hyperplasia, whereas was not observed in the parents or 23 unaffected siblings. Sprengel deformity of scapula, fusion of spine, rib abnormities, A history of first trimester spontaneous abortions was reported pectus excavatum, and pes planus represented skeletal anomalies. -
Integrative Epigenomic and Genomic Analysis of Malignant Pheochromocytoma
EXPERIMENTAL and MOLECULAR MEDICINE, Vol. 42, No. 7, 484-502, July 2010 Integrative epigenomic and genomic analysis of malignant pheochromocytoma Johanna Sandgren1,2* Robin Andersson3*, pression examination in a malignant pheochromocy- Alvaro Rada-Iglesias3, Stefan Enroth3, toma sample. The integrated analysis of the tumor ex- Goran̈ Akerstro̊ m̈ 1, Jan P. Dumanski2, pression levels, in relation to normal adrenal medulla, Jan Komorowski3,4, Gunnar Westin1 and indicated that either histone modifications or chromo- somal alterations, or both, have great impact on the ex- Claes Wadelius2,5 pression of a substantial fraction of the genes in the in- vestigated sample. Candidate tumor suppressor 1Department of Surgical Sciences genes identified with decreased expression, a Uppsala University, Uppsala University Hospital H3K27me3 mark and/or in regions of deletion were for SE-75185 Uppsala, Sweden 2 instance TGIF1, DSC3, TNFRSF10B, RASSF2, HOXA9, Department of Genetics and Pathology Rudbeck Laboratory, Uppsala University PTPRE and CDH11. More genes were found with in- SE-75185 Uppsala, Sweden creased expression, a H3K4me3 mark, and/or in re- 3The Linnaeus Centre for Bioinformatics gions of gain. Potential oncogenes detected among Uppsala University those were GNAS, INSM1, DOK5, ETV1, RET, NTRK1, SE-751 24 Uppsala, Sweden IGF2, and the H3K27 trimethylase gene EZH2. Our ap- 4Interdisciplinary Centre for Mathematical and proach to associate histone methylations and DNA Computational Modelling copy number changes to gene expression revealed ap- Warsaw University parent impact on global gene transcription, and en- PL-02-106 Warszawa, Poland abled the identification of candidate tumor genes for 5Corresponding author: Tel, 46-18-471-40-76; further exploration. -
Cadherin-11 Mediates Cancer Hijacking Fibroblasts
bioRxiv preprint doi: https://doi.org/10.1101/729491; this version posted August 9, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Post-EMT: Cadherin-11 mediates cancer hijacking fibroblasts Weirong Kang1Ϯ, Yibo Fan1Ϯ, Yinxiao Du1Ϯ, Elina A. Tonkova2, Yi-Hsin Hsu3, Kel Vin Tan4, Stephanie Alexander5, Bin Sheng Wong6, Haocheng Yang1, Jingyuan Luo1, Kuo Yao1, Jiayao Yang1, Xin Hu7, Tingting Liu8, Yu Gan8, Jian Zhang9, Jean J. Zhao10,11, Konstantinos Konstantopoulos6, Peter Friedl5, Pek Lan Khong4, Aiping Lu1, Mien-Chie Hung3,12, Michael B. Brenner2, Jeffrey E. Segall13, Zhizhan Gu1,2,6,10,13,# 1Centre for Cancer and Inflammation Research, Institute of Integrated Bioinformedicine and Translational Science, and School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China 2Division of Rheumatology, Immunology, and Allergy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA 3Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center Houston, TX, USA 4Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China 5Department of Cell Biology, RIMLS, Radboud University Medical Center, Nijmegen, The Netherlands; David H. Koch Center for Applied Research of Genitourinary Cancers, Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, -
Minimal 16Q Genomic Loss Implicates Cadherin-11 in Retinoblastoma
Minimal 16q Genomic Loss Implicates Cadherin-11 in Retinoblastoma Mellone N. Marchong,1,2 Danian Chen,1,6 Timothy W. Corson,1,3 Cheong Lee,1 Maria Harmandayan,1 Ella Bowles,1 Ning Chen,5 and Brenda L. Gallie1,2,3,4,5 1Divisions of Cancer Informatics and Cellular and Molecular Biology, Ontario Cancer Institute/Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada; Departments of 2Medical Biophysics, 3Molecular and Medical Genetics, and 4Ophthalmology, University of Toronto, Toronto, Ontario, Canada; 5Retinoblastoma Solutions, Toronto, Ontario, Canada; and 6Department of Ophthalmology, West China Hospital, Faculty of Medicine, Sichuan University, Chengdu, People’s Republic of China Abstract compared with normal adult human retina. Our analyses Retinoblastoma is initiated by loss of both RB1 alleles. implicate CDH11, but not CDH13, as a potential tumor Previous studies have shown that retinoblastoma suppressor gene in retinoblastoma. (Mol Cancer Res tumors also show further genomic gains and losses. We 2004;2(9):495–503) now define a 2.62 Mbp minimal region of genomic loss of chromosome 16q22, which is likely to contain tumor suppressor gene(s), in 76 retinoblastoma tumors, using Introduction loss of heterozygosity (30 of 76 tumors) and quantitative Retinoblastoma is the most common intraocular tumor in multiplex PCR (71 of 76 tumors). The sequence-tagged children. Mutations of both alleles (M1 and M2) of the RB1 site WI-5835 within intron 2 of the cadherin-11 (CDH11) gene at chromosome 13q14 are necessary (1) for retinoblastoma gene showed the highest frequency of loss (54%, 22 of tumor initiation but not sufficient for malignant transformation 41 samples tested). -
Cell Adhesion Molecules in Normal Skin and Melanoma
biomolecules Review Cell Adhesion Molecules in Normal Skin and Melanoma Cian D’Arcy and Christina Kiel * Systems Biology Ireland & UCD Charles Institute of Dermatology, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland; [email protected] * Correspondence: [email protected]; Tel.: +353-1-716-6344 Abstract: Cell adhesion molecules (CAMs) of the cadherin, integrin, immunoglobulin, and selectin protein families are indispensable for the formation and maintenance of multicellular tissues, espe- cially epithelia. In the epidermis, they are involved in cell–cell contacts and in cellular interactions with the extracellular matrix (ECM), thereby contributing to the structural integrity and barrier for- mation of the skin. Bulk and single cell RNA sequencing data show that >170 CAMs are expressed in the healthy human skin, with high expression levels in melanocytes, keratinocytes, endothelial, and smooth muscle cells. Alterations in expression levels of CAMs are involved in melanoma propagation, interaction with the microenvironment, and metastasis. Recent mechanistic analyses together with protein and gene expression data provide a better picture of the role of CAMs in the context of skin physiology and melanoma. Here, we review progress in the field and discuss molecular mechanisms in light of gene expression profiles, including recent single cell RNA expression information. We highlight key adhesion molecules in melanoma, which can guide the identification of pathways and Citation: D’Arcy, C.; Kiel, C. Cell strategies for novel anti-melanoma therapies. Adhesion Molecules in Normal Skin and Melanoma. Biomolecules 2021, 11, Keywords: cadherins; GTEx consortium; Human Protein Atlas; integrins; melanocytes; single cell 1213. https://doi.org/10.3390/ RNA sequencing; selectins; tumour microenvironment biom11081213 Academic Editor: Sang-Han Lee 1. -
CDH2 and CDH11 Act As Regulators of Stem Cell Fate Decisions Stella Alimperti A, Stelios T
Stem Cell Research (2015) 14, 270–282 Available online at www.sciencedirect.com ScienceDirect www.elsevier.com/locate/scr REVIEW CDH2 and CDH11 act as regulators of stem cell fate decisions Stella Alimperti a, Stelios T. Andreadis a,b,⁎ a Bioengineering Laboratory, Department of Chemical and Biological Engineering, University at Buffalo, State University of New York, Amherst, NY 14260-4200, USA b Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14203, USA Received 18 September 2014; received in revised form 24 January 2015; accepted 10 February 2015 Abstract Accumulating evidence suggests that the mechanical and biochemical signals originating from cell–cell adhesion are critical for stem cell lineage specification. In this review, we focus on the role of cadherin mediated signaling in development and stem cell differentiation, with emphasis on two well-known cadherins, cadherin-2 (CDH2) (N-cadherin) and cadherin-11 (CDH11) (OB-cadherin). We summarize the existing knowledge regarding the role of CDH2 and CDH11 during development and differentiation in vivo and in vitro. We also discuss engineering strategies to control stem cell fate decisions by fine-tuning the extent of cell–cell adhesion through surface chemistry and microtopology. These studies may be greatly facilitated by novel strategies that enable monitoring of stem cell specification in real time. We expect that better understanding of how intercellular adhesion signaling affects lineage specification may impact biomaterial and scaffold design to control stem cell fate decisions in three-dimensional context with potential implications for tissue engineering and regenerative medicine. © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). -
A Novel Role for Cadherin-11
Mechanobiology of Cardiac Disease and Fibrosis: a Novel Role for Cadherin-11 By Alison Koelle Schroer Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Biomedical Engineering December, 2016 Nashville, Tennessee Approved: W. David Merryman, Ph.D. John Wikswo, Ph.D. Michael Miga, Ph.D. Jeffrey Davidson, Ph.D. Antonis Hatzopoulos, Ph.D. Copyright © 2016 by Alison K Schroer All Rights Reserved ii ACKNOWLEDGEMENTS The heart has its reasons, of which reason knows nothing - Pascal I must acknowledge my coauthors on the manuscripts which have been adapted and included in this dissertation. First and foremost, my advisor Dave Merryman. Also Larisa Rhyzhova, Cyndi Clark, Hind Lal, Qinkun Zhang, Tom Force, John Wikswo, Veniamin Sidorov, Matthew Shotwell, Annabelle Manalo, and David Bader. I would also acknowledge Josh Bender and Claire Lafferty, undergraduate research assistants who assisted in the collection of some of the data included in this work. I would also like to acknowledge Meghan Bowler, Mark Vander Roest, Caleb Snider, Allison Price, and Jeffrey Davidson for their editorial comments on the work included in this dissertation. I would like to acknowledge my funding sources, especially the NSF and the AHA. Also, the ever wonderful Merryman Lab, members both past and present, who have been my comrades and friends throughout the last five years. Finally, I must acknowledge my family, my friends, and my God, without whom I never could have done all this. Keep your heart with all vigilance, for from it flow the springs of life. -
A Systems-Genetics Analyses of Complex Phenotypes
A systems-genetics analyses of complex phenotypes A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Life Sciences 2015 David Ashbrook Table of contents Table of contents Table of contents ............................................................................................... 1 Tables and figures ........................................................................................... 10 General abstract ............................................................................................... 14 Declaration ....................................................................................................... 15 Copyright statement ........................................................................................ 15 Acknowledgements.......................................................................................... 16 Chapter 1: General introduction ...................................................................... 17 1.1 Overview................................................................................................... 18 1.2 Linkage, association and gene annotations .............................................. 20 1.3 ‘Big data’ and ‘omics’ ................................................................................ 22 1.4 Systems-genetics ..................................................................................... 24 1.5 Recombinant inbred (RI) lines and the BXD .............................................. 25 Figure 1.1: