Supplementary Table S1 . 939 Differentially Expressed Genes in Invasive Cells with EGFR Over-Expression and P53 Mutation
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1 1 Alpha-Smooth Muscle Actin (ACTA2) Is Required for Metastatic Potential of Human 1 Lung Adenocarcinoma 2 3 Hye Won Lee*1,2,3
Author Manuscript Published OnlineFirst on August 30, 2013; DOI: 10.1158/1078-0432.CCR-13-1181 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. 1 1 Alpha-smooth muscle actin (ACTA2) is required for metastatic potential of human 2 lung adenocarcinoma 3 4 Hye Won Lee*1,2,3, Young Mi Park*3,4, Se Jeong Lee1,4,5, Hyun Jung Cho1,2, Duk-Hwan Kim6,7, 5 Jung-Il Lee2, Myung-Soo Kang3, Ho Jun Seol2, Young Mog Shim8, Do-Hyun Nam1,2,3, Hyeon 6 Ho Kim3,4, Kyeung Min Joo1,3,4,5 7 8 Authors’ Affiliations: 9 1Cancer Stem Cell Research Center, 2Department of Neurosurgery, 3Department of Health 10 Sciences and Technology, Samsung Advanced Institute for Health Sciences and 11 Technology (SAIHST), 4Samsung Biomedical Research Institute, 5Department of Anatomy 12 and Cell Biology, 6Department of Molecular Cell Biology, 7Center for Genome Research, 13 8Department of Thoracic Surgery, Samsung Medical Center, Sungkyunkwan University 14 School of Medicine, Seoul, Korea 15 16 *These authors contributed equally to this work. 17 18 Running title: ACTA2 confers metastatic potential on lung adenocarcinoma 19 Keywords: Non-small cell lung adenocarcinoma, alpha-smooth muscle actin, migration, 20 invasion, metastasis 1 Downloaded from clincancerres.aacrjournals.org on September 26, 2021. © 2013 American Association for Cancer Research. Author Manuscript Published OnlineFirst on August 30, 2013; DOI: 10.1158/1078-0432.CCR-13-1181 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. 2 1 Financial support: This study was supported by a grant from the Korea Healthcare 2 Technology R&D Project, Ministry for Health & Welfare Affairs, Republic of Korea (A092255), 3 and the Basic Science Research Program, National Research Foundation of Korea by the 4 Ministry of Education, Science, and Technology (2011-009329 to H. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.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 © 2016 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 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
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. -
ATP6V0C Rabbit Pab
Leader in Biomolecular Solutions for Life Science ATP6V0C Rabbit pAb Catalog No.: A16350 Basic Information Background Catalog No. This gene encodes a component of vacuolar ATPase (V-ATPase), a multisubunit enzyme A16350 that mediates acidification of eukaryotic intracellular organelles. V-ATPase dependent organelle acidification is necessary for such intracellular processes as protein sorting, Observed MW zymogen activation, receptor-mediated endocytosis, and synaptic vesicle proton 16kDa gradient generation. V-ATPase is composed of a cytosolic V1 domain and a transmembrane V0 domain. The V1 domain consists of three A and three B subunits, two Calculated MW G subunits plus the C, D, E, F, and H subunits. The V1 domain contains the ATP catalytic 15kDa site. The V0 domain consists of five different subunits: a, c, c', c", and d. This gene encodes the V0 subunit c. Alternative splicing results in transcript variants. Pseudogenes Category have been identified on chromosomes 6 and 17. Primary antibody Applications WB, IF Cross-Reactivity Mouse, Rat Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 527 P27449 IF 1:50 - 1:100 Immunogen A synthetic peptide corresponding to a sequence within amino acids 1-100 of human ATP6V0C (NP_001185498.1). Synonyms ATP6V0C;ATP6C;ATP6L;ATPL;VATL;VPPC;Vma3 Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of various cell lines, using ATP6V0C Rabbit pAb (A16350) at 1:1000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony
Supplementary Data Th2 and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in UBIOPRED Chih-Hsi Scott Kuo1.2, Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony Rowe3, Iaonnis Pandis2, Ana Sousa4, Julie Corfield5, Ratko Djukanovic6, Rene 7 7 8 2 1† Lutter , Peter J. Sterk , Charles Auffray , Yike Guo , Ian M. Adcock & Kian Fan 1†* # Chung on behalf of the U-BIOPRED consortium project team 1Airways Disease, National Heart & Lung Institute, Imperial College London, & Biomedical Research Unit, Biomedical Research Unit, Royal Brompton & Harefield NHS Trust, London, United Kingdom; 2Department of Computing & Data Science Institute, Imperial College London, United Kingdom; 3Janssen Research and Development, High Wycombe, Buckinghamshire, United Kingdom; 4Respiratory Therapeutic Unit, GSK, Stockley Park, United Kingdom; 5AstraZeneca R&D Molndal, Sweden and Areteva R&D, Nottingham, United Kingdom; 6Faculty of Medicine, Southampton University, Southampton, United Kingdom; 7Faculty of Medicine, University of Amsterdam, Amsterdam, Netherlands; 8European Institute for Systems Biology and Medicine, CNRS-ENS-UCBL, Université de Lyon, France. †Contributed equally #Consortium project team members are listed under Supplementary 1 Materials *To whom correspondence should be addressed: [email protected] 2 List of the U-BIOPRED Consortium project team members Uruj Hoda & Christos Rossios, Airways Disease, National Heart & Lung Institute, Imperial College London, UK & Biomedical Research Unit, Biomedical Research Unit, Royal -
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. -
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, -
Wnt/Β-Catenin Signaling Regulates Regeneration in Diverse Tissues of the Zebrafish
Wnt/β-catenin Signaling Regulates Regeneration in Diverse Tissues of the Zebrafish Nicholas Stockton Strand A dissertation Submitted in partial fulfillment of the Requirements for the degree of Doctor of Philosophy University of Washington 2016 Reading Committee: Randall Moon, Chair Neil Nathanson Ronald Kwon Program Authorized to Offer Degree: Pharmacology ©Copyright 2016 Nicholas Stockton Strand University of Washington Abstract Wnt/β-catenin Signaling Regulates Regeneration in Diverse Tissues of the Zebrafish Nicholas Stockton Strand Chair of the Supervisory Committee: Professor Randall T Moon Department of Pharmacology The ability to regenerate tissue after injury is limited by species, tissue type, and age of the organism. Understanding the mechanisms of endogenous regeneration provides greater insight into this remarkable biological process while also offering up potential therapeutic targets for promoting regeneration in humans. The Wnt/β-catenin signaling pathway has been implicated in zebrafish regeneration, including the fin and nervous system. The body of work presented here expands upon the role of Wnt/β-catenin signaling in regeneration, characterizing roles for Wnt/β-catenin signaling in multiple tissues. We show that cholinergic signaling is required for blastema formation and Wnt/β-catenin signaling initiation in the caudal fin, and that overexpression of Wnt/β-catenin ligand is sufficient to rescue blastema formation in fins lacking cholinergic activity. Next, we characterized the glial response to Wnt/β-catenin signaling after spinal cord injury, demonstrating that Wnt/β-catenin signaling is necessary for recovery of motor function and the formation of bipolar glia after spinal cord injury. Lastly, we defined a role for Wnt/β-catenin signaling in heart regeneration, showing that cardiomyocyte proliferation is regulated by Wnt/β-catenin signaling. -
Dietary Protein Restriction Rapidly Reduces Transforming Growth Factor
Proc. Natl. Acad. Sci. USA Vol. 88, pp. 9765-9769, November 1991 Medical Sciences Dietary protein restriction rapidly reduces transforming growth factor p1 expression in experimental glomerulonephritis (extraceliular matrix/transforming growth factor 8/glomerulonephritis) SEIYA OKUDA*, TAKAMICHI NAKAMURA*, TATSUO YAMAMOTO*, ERKKI RUOSLAHTIt, AND WAYNE A. BORDER*t *Division of Nephrology, University of Utah School of Medicine, Salt Lake City, UT 84132; and tCancer Research Center, La Jolla Cancer Research Foundation, La Jolla, CA 92037 Communicated by Eugene Roberts, August 19, 1991 (receivedfor review April 29, 1991) ABSTRACT Dietary protein restriction has been shown to TGF-/31 on both cell types is to regulate the synthesis of two slow the rate of loss of kidney function in humans with chondroitin/dermatan sulfate proteoglycans, biglycan and progressive glomerulosclerosis due to glomerulonephritis or decorin, both of which can bind TGF-P1 (23). In an experi- diabetes mellitus. A central feature of glomerulosclerosis is the mental model ofglomerulonephritis in the rat, we have found pathological accumulation of extracellular matrix within the a close association between elevated expression of the diseased glomeruli. Transforming growth factor j1 (TGF-.81) TGF-131 gene and the development of glomerulonephritis is known to have widespread regulatory effects on extracellular (10). Seven days after glomerular injury, at the time of matrix and has been implicated as a major cause of increased significant extracellular matrix accumulation, the glomeruli extracellular matrix synthesis and buildup of pathological showed a 5-fold increase in TGF-f31 mRNA and a nearly matrix within glomeruli in experimental glomerulonephritis. 50-fold increase in production ofbiglycan and decorin. -
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.