Immature Truncated O-Glycophenotype of Cancer Directly
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ARVC-Variants.Pdf
Updated gene list responsible for ARVC/D pathology Subtype Gene Location Reference ARVC1 TGFB3 14q24.3 Beffagna G, Occhi G, Nava A, et al. Regulatory mutations in transforming growth factor-beta3 gene cause arrhythmogenic right ventricular cardiomyopathy type 1. Cardiovasc Res. 2005;65:366–73. ARVC2 RYR2 1q43 Tiso N, Stephan DA, Nava A, et al. Identification of mutations in the cardiac ryanodine receptor gene in families affected with arrhythmogenic right ventricular cardiomyopathy type 2 (ARVD2). Hum Mol Genet. 2001;10:189–94. ARVC3 Unknown 14q12-q22 Severini GM, Krajinovic M, Pinamonti B, et al. A new locus for arrhythmogenic right ventricular dysplasia on the long arm of chromosome 14. Genomics. 1996;31:193–200. ARVC4 TTN 2q32.1-q32.3 Taylor M, Graw S, Sinagra G, et al. Genetic variation in titin in arrhythmogenic right ventricular cardiomyopathy-overlap syndromes. Circulation. 2011;124:876–85. ARVC5 TMEM43 3p25.1 Merner ND, Hodgkinson KA, Haywood AF, et al. Arrhythmogenic right ventricular cardiomyopathy type 5 is a fully penetrant, lethal arrhythmic disorder caused by a missense mutation in the TMEM43 gene. Am J Hum Genet. 2008;82:809–21. ARVC6 Unknown 10p14-p12 Li D, Ahmad F, Gardner MJ, et al. The locus of a novel gene responsible for arrhythmogenic right- ventricular dysplasia characterized by early onset and high penetrance maps to chromosome 10p12-p14. Am J Hum Genet. 2000;66:148–56. ARVC7 DES 2q35 Klauke B, Kossmann S, Gaertner A, et al. De novo desmin-mutation N116S is associated with arrhythmogenic right ventricular cardiomyopathy. Hum Mol Genet. 2010;19:4595–607. -
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, -
Plakophilin-2 Haploinsufficiency Causes Calcium Handling
International Journal of Molecular Sciences Article Plakophilin-2 Haploinsufficiency Causes Calcium Handling Deficits and Modulates the Cardiac Response Towards Stress Chantal J.M. van Opbergen 1 , Maartje Noorman 1, Anna Pfenniger 2, Jaël S. Copier 1, Sarah H. Vermij 2,3 , Zhen Li 2, Roel van der Nagel 1, Mingliang Zhang 2, Jacques M.T. de Bakker 1,4, Aaron M. Glass 5, Peter J. Mohler 6,7, Steven M. Taffet 5, Marc A. Vos 1, Harold V.M. van Rijen 1, Mario Delmar 2 and Toon A.B. van Veen 1,* 1 Department of Medical Physiology, Division of Heart & Lungs, University Medical Center Utrecht, Yalelaan 50, 3584CM Utrecht, The Netherlands 2 Division of Cardiology, NYU School of Medicine, New York, NY 10016, USA 3 Institute of Biochemistry and Molecular Medicine, University of Bern, 3012 Bern, Switzerland 4 Department of Medical Biology, Academic Medical Center Amsterdam, 1105AZ Amsterdam, The Netherlands 5 Department of Microbiology and Immunology, SUNY Upstate Medical University, Syracuse, NY 13210, USA 6 Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University College of Medicine and Wexner Medical Center, Columbus, OH 43210, USA 7 Departments of Physiology & Cell Biology and Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University College of Medicine Wexner Medical Center, Columbus, OH 43210, USA * Correspondence: [email protected] Received: 1 August 2019; Accepted: 19 August 2019; Published: 21 August 2019 Abstract: Human variants in plakophilin-2 (PKP2) associate with most cases of familial arrhythmogenic cardiomyopathy (ACM). Recent studies show that PKP2 not only maintains intercellular coupling, but also regulates transcription of genes involved in Ca2+ cycling and cardiac rhythm. -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
Fra-2 Overexpression Upregulates Pro-Metastatic Cell-Adhesion
Fra-2 Overexpression Upregulates Pro-metastatic Cell-adhesion Molecules, Promotes Pulmonary Metastasis and Reduces Survival in a Spontaneous Xenograft Model of Human Breast Cancer Sabrina Arnold University Medical Center Hamburg-Eppendorf: Universitatsklinikum Hamburg-Eppendorf Jan Kortland University Medical Center Hamburg-Eppendorf: Universitatsklinikum Hamburg-Eppendorf Diana V. Maltseva National Faculty of Biology and Biotechnology, National Research University Higher School of Economics Timur R. Samatov Evotec International GmbH Susanne Lezius University Medical Center Hamburg-Eppendorf: Universitatsklinikum Hamburg-Eppendorf Alexander G. Tonevitsky Far Eastern Federal University Karin Milde-Langosch University Medical Center Hamburg-Eppendorf: Universitatsklinikum Hamburg-Eppendorf Daniel Wicklein University Medical Center Hamburg-Eppendorf: Universitatsklinikum Hamburg-Eppendorf Udo Schumacher University Medical Center Hamburg-Eppendorf: Universitatsklinikum Hamburg-Eppendorf Christine Stürken ( [email protected] ) endorf: Universitatsklinikum Hamburg-Eppendorf https://orcid.org/0000-0003-3997-3304 Research Article Keywords: Breast Cancer, Transcription factor, AP-1, Fra-2, Metastasis Posted Date: June 15th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-592522/v1 Page 1/33 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 2/33 Abstract Purpose: The transcription factor Fra-2 affects the invasive potential of breast cancer cells by dysregulating adhesion molecules in vitro. Previous results suggested that it upregulates the expression of E- and P- selectin ligands. Such selectin ligands are important members of the leukocyte adhesion cascade, which govern the adhesion and transmigration of cancer cells into the stroma of the host organ of metastasis. As so far, no in vivo data are available, this study was designed to elucidate the role of Fra-2 expression in a spontaneous breast cancer metastasis xenograft model. -
Identification of Key Pathways and Genes in Dementia Via Integrated Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.18.440371; this version posted July 19, 2021. 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. Identification of Key Pathways and Genes in Dementia via Integrated Bioinformatics Analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.04.18.440371; this version posted July 19, 2021. 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. Abstract To provide a better understanding of dementia at the molecular level, this study aimed to identify the genes and key pathways associated with dementia by using integrated bioinformatics analysis. Based on the expression profiling by high throughput sequencing dataset GSE153960 derived from the Gene Expression Omnibus (GEO), the differentially expressed genes (DEGs) between patients with dementia and healthy controls were identified. With DEGs, we performed a series of functional enrichment analyses. Then, a protein–protein interaction (PPI) network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network was constructed, analyzed and visualized, with which the hub genes miRNAs and TFs nodes were screened out. Finally, validation of hub genes was performed by using receiver operating characteristic curve (ROC) analysis. -
Apoptotic Cells Inflammasome Activity During the Uptake of Macrophage
Downloaded from http://www.jimmunol.org/ by guest on September 29, 2021 is online at: average * The Journal of Immunology , 26 of which you can access for free at: 2012; 188:5682-5693; Prepublished online 20 from submission to initial decision 4 weeks from acceptance to publication April 2012; doi: 10.4049/jimmunol.1103760 http://www.jimmunol.org/content/188/11/5682 Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E. Benoit, Elizabeth V. Clarke, Pedro Morgado, Deborah A. Fraser and Andrea J. Tenner J Immunol cites 56 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription http://www.jimmunol.org/content/suppl/2012/04/20/jimmunol.110376 0.DC1 This article http://www.jimmunol.org/content/188/11/5682.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 29, 2021. The Journal of Immunology Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E. -
Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in -
Urinary Proteomics for the Early Diagnosis of Diabetic Nephropathy in Taiwanese Patients Authors
Urinary Proteomics for the Early Diagnosis of Diabetic Nephropathy in Taiwanese Patients Authors: Wen-Ling Liao1,2, Chiz-Tzung Chang3,4, Ching-Chu Chen5,6, Wen-Jane Lee7,8, Shih-Yi Lin3,4, Hsin-Yi Liao9, Chia-Ming Wu10, Ya-Wen Chang10, Chao-Jung Chen1,9,+,*, Fuu-Jen Tsai6,10,11,+,* 1 Graduate Institute of Integrated Medicine, China Medical University, Taichung, 404, Taiwan 2 Center for Personalized Medicine, China Medical University Hospital, Taichung, 404, Taiwan 3 Division of Nephrology and Kidney Institute, Department of Internal Medicine, China Medical University Hospital, Taichung, 404, Taiwan 4 Institute of Clinical Medical Science, China Medical University College of Medicine, Taichung, 404, Taiwan 5 Division of Endocrinology and Metabolism, Department of Medicine, China Medical University Hospital, Taichung, 404, Taiwan 6 School of Chinese Medicine, China Medical University, Taichung, 404, Taiwan 7 Department of Medical Research, Taichung Veterans General Hospital, Taichung, 404, Taiwan 8 Department of Social Work, Tunghai University, Taichung, 404, Taiwan 9 Proteomics Core Laboratory, Department of Medical Research, China Medical University Hospital, Taichung, 404, Taiwan 10 Human Genetic Center, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 404, Taiwan 11 Department of Health and Nutrition Biotechnology, Asia University, Taichung, 404, Taiwan + Fuu-Jen Tsai and Chao-Jung Chen contributed equally to this work. Correspondence: Fuu-Jen Tsai, MD, PhD and Chao-Jung Chen, PhD FJ Tsai: Genetic Center, China Medical University Hospital, No.2 Yuh-Der Road, 404 Taichung, Taiwan; Telephone: 886-4-22062121 Ext. 2041; Fax: 886-4-22033295; E-mail: [email protected] CJ Chen: Graduate Institute of Integrated Medicine, China Medical University, No.91, Hsueh-Shih Road, 404, Taichung, Taiwan; Telephone: 886-4-22053366 Ext. -
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. -
Rna-Sequencing Applications: Gene Expression Quantification and Methylator Phenotype Identification
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 8-2013 RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION Guoshuai Cai Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Bioinformatics Commons, Computational Biology Commons, and the Medicine and Health Sciences Commons Recommended Citation Cai, Guoshuai, "RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION" (2013). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 386. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/386 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION -
Mapping Transmembrane Binding Partners for E-Cadherin Ectodomains
Mapping transmembrane binding partners for E-cadherin ectodomains Omer Shafraza, Bin Xieb, Soichiro Yamadaa, and Sanjeevi Sivasankara,b,1 aDepartment of Biomedical Engineering, University of California, Davis, CA 95616; and bBiophysics Graduate Group, University of California, Davis, CA 95616 Edited by Barry Honig, Howard Hughes Medical Institute, Columbia University, New York, NY, and approved October 28, 2020 (received for review May 22, 2020) We combine proximity labeling and single molecule binding assays proteins that directly interact with a transmembrane bait would to discover transmembrane protein interactions in cells. We first be positioned in close proximity to both the bait’s ectodomain screen for candidate binding partners by tagging the extracellular and cytoplasmic regions. Consequently, if the proximity-based and cytoplasmic regions of a “bait” protein with BioID biotin ligase labeling enzyme was fused to both the bait’s extracellular and and identify proximal proteins that are biotin tagged on both their cytoplasmic regions, identifying transmembrane proteins that extracellular and intracellular regions. We then test direct binding are biotinylated in both regions would enable us to narrow interactions between proximal proteins and the bait, using single down the list of possible binding partners for subsequent AFM molecule atomic force microscope binding assays. Using this ap- binding measurements. Furthermore, an integrated extracellu- proach, we identify binding partners for the extracellular region lar and cytoplasmic BioID measurement would significantly of E-cadherin, an essential cell–cell adhesion protein. We show that increase the precision of the screen by dramatically reducing the desmosomal proteins desmoglein-2 and desmocollin-3, the focal the number of false positive hits.