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Versican V2 Assembles the Extracellular Matrix Surrounding the Nodes of Ranvier in the CNS
The Journal of Neuroscience, June 17, 2009 • 29(24):7731–7742 • 7731 Cellular/Molecular Versican V2 Assembles the Extracellular Matrix Surrounding the Nodes of Ranvier in the CNS María T. Dours-Zimmermann,1 Konrad Maurer,2 Uwe Rauch,3 Wilhelm Stoffel,4 Reinhard Fa¨ssler,5 and Dieter R. Zimmermann1 Institutes of 1Surgical Pathology and 2Anesthesiology, University Hospital Zurich, CH-8091 Zurich, Switzerland, 3Vascular Wall Biology, Department of Experimental Medical Science, University of Lund, S-221 00 Lund, Sweden, 4Center for Biochemistry, Medical Faculty, University of Cologne, D-50931 Cologne, Germany, and 5Department of Molecular Medicine, Max Planck Institute of Biochemistry, D-82152 Martinsried, Germany The CNS-restricted versican splice-variant V2 is a large chondroitin sulfate proteoglycan incorporated in the extracellular matrix sur- rounding myelinated fibers and particularly accumulating at nodes of Ranvier. In vitro, it is a potent inhibitor of axonal growth and therefore considered to participate in the reduction of structural plasticity connected to myelination. To study the role of versican V2 during postnatal development, we designed a novel isoform-specific gene inactivation approach circumventing early embryonic lethality of the complete knock-out and preventing compensation by the remaining versican splice variants. These mice are viable and fertile; however, they display major molecular alterations at the nodes of Ranvier. While the clustering of nodal sodium channels and paranodal structures appear in versican V2-deficient mice unaffected, the formation of the extracellular matrix surrounding the nodes is largely impaired. The conjoint loss of tenascin-R and phosphacan from the perinodal matrix provide strong evidence that versican V2, possibly controlled by a nodal receptor, organizes the extracellular matrix assembly in vivo. -
Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle
Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle Slim Ben-Jemaa, Gabriele Senczuk, Elena Ciani, Roberta Ciampolini, Gennaro Catillo, Mekki Boussaha, Fabio Pilla, Baldassare Portolano, Salvatore Mastrangelo To cite this version: Slim Ben-Jemaa, Gabriele Senczuk, Elena Ciani, Roberta Ciampolini, Gennaro Catillo, et al.. Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle. Frontiers in Genetics, Frontiers, 2021, 10.3389/fgene.2021.675569. hal-03210766 HAL Id: hal-03210766 https://hal.inrae.fr/hal-03210766 Submitted on 28 Apr 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License ORIGINAL RESEARCH published: 28 April 2021 doi: 10.3389/fgene.2021.675569 Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle Slim Ben-Jemaa 1, Gabriele Senczuk 2, Elena Ciani 3, Roberta -
List of Genes Associated with Sudden Cardiac Death (Scdgseta) Gene
List of genes associated with sudden cardiac death (SCDgseta) mRNA expression in normal human heart Entrez_I Gene symbol Gene name Uniprot ID Uniprot name fromb D GTEx BioGPS SAGE c d e ATP-binding cassette subfamily B ABCB1 P08183 MDR1_HUMAN 5243 √ √ member 1 ATP-binding cassette subfamily C ABCC9 O60706 ABCC9_HUMAN 10060 √ √ member 9 ACE Angiotensin I–converting enzyme P12821 ACE_HUMAN 1636 √ √ ACE2 Angiotensin I–converting enzyme 2 Q9BYF1 ACE2_HUMAN 59272 √ √ Acetylcholinesterase (Cartwright ACHE P22303 ACES_HUMAN 43 √ √ blood group) ACTC1 Actin, alpha, cardiac muscle 1 P68032 ACTC_HUMAN 70 √ √ ACTN2 Actinin alpha 2 P35609 ACTN2_HUMAN 88 √ √ √ ACTN4 Actinin alpha 4 O43707 ACTN4_HUMAN 81 √ √ √ ADRA2B Adrenoceptor alpha 2B P18089 ADA2B_HUMAN 151 √ √ AGT Angiotensinogen P01019 ANGT_HUMAN 183 √ √ √ AGTR1 Angiotensin II receptor type 1 P30556 AGTR1_HUMAN 185 √ √ AGTR2 Angiotensin II receptor type 2 P50052 AGTR2_HUMAN 186 √ √ AKAP9 A-kinase anchoring protein 9 Q99996 AKAP9_HUMAN 10142 √ √ √ ANK2/ANKB/ANKYRI Ankyrin 2 Q01484 ANK2_HUMAN 287 √ √ √ N B ANKRD1 Ankyrin repeat domain 1 Q15327 ANKR1_HUMAN 27063 √ √ √ ANKRD9 Ankyrin repeat domain 9 Q96BM1 ANKR9_HUMAN 122416 √ √ ARHGAP24 Rho GTPase–activating protein 24 Q8N264 RHG24_HUMAN 83478 √ √ ATPase Na+/K+–transporting ATP1B1 P05026 AT1B1_HUMAN 481 √ √ √ subunit beta 1 ATPase sarcoplasmic/endoplasmic ATP2A2 P16615 AT2A2_HUMAN 488 √ √ √ reticulum Ca2+ transporting 2 AZIN1 Antizyme inhibitor 1 O14977 AZIN1_HUMAN 51582 √ √ √ UDP-GlcNAc: betaGal B3GNT7 beta-1,3-N-acetylglucosaminyltransfe Q8NFL0 -
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. -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
Meta-Analyses of Expression Profiling Data in the Postmortem
META-ANALYSES OF EXPRESSION PROFILING DATA IN THE POSTMORTEM HUMAN BRAIN by Meeta Mistry B.Sc., McMaster University, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE FACULTY OF GRADUATE STUDIES (Bioinformatics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) July 2012 © Meeta Mistry, 2012 Abstract Schizophrenia is a severe psychiatric illness for which the precise etiology remains unknown. Studies using postmortem human brain have become increasingly important in schizophrenia research, providing an opportunity to directly investigate the diseased brain tissue. Gene expression profiling technologies have been used by a number of groups to explore the postmortem human brain and seek genes which show changes in expression correlated with schizophrenia. While this has been a valuable means of generating hypotheses, there is a general lack of consensus in the findings across studies. Expression profiling of postmortem human brain tissue is difficult due to the effect of various factors that can confound the data. The first aim of this thesis was to use control postmortem human cortex for identification of expression changes associated with several factors, specifically: age, sex, brain pH and postmortem interval. I conducted a meta-analysis across the control arm of eleven microarray datasets (representing over 400 subjects), and identified a signature of genes associated with each factor. These genes provide critical information towards the identification of problematic genes when investigating postmortem human brain in schizophrenia and other neuropsychiatric illnesses. The second aim of this thesis was to evaluate gene expression patterns in the prefrontal cortex associated with schizophrenia by exploring two methods of analysis: differential expression and coexpression. -
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, -
Product Datasheet Qprest
Product Datasheet QPrEST PRODUCT SPECIFICATION Product Name QPrEST TMM98 Mass Spectrometry Protein Standard Product Number QPrEST39234 Protein Name Transmembrane protein 98 Uniprot ID Q9Y2Y6 Gene TMEM98 Product Description Stable isotope-labeled standard for absolute protein quantification of Transmembrane protein 98. Lys (13C and 15N) and Arg (13C and 15N) metabolically labeled recombinant human protein fragment. Application Absolute protein quantification using mass spectrometry Sequence (excluding CRQRYCRPRDLLQRYDSKPIVDLIGAMETQSEPSELELDDVVITNPHIEA fusion tag) ILENEDWIEDASGLMSHCIAILKICHTLTEKLVAMTMGSGAKMKTSASVS Theoretical MW 28997 Da including N-terminal His6ABP fusion tag Fusion Tag A purification and quantification tag (QTag) consisting of a hexahistidine sequence followed by an Albumin Binding Protein (ABP) domain derived from Streptococcal Protein G. Expression Host Escherichia coli LysA ArgA BL21(DE3) Purification IMAC purification Purity >90% as determined by Bioanalyzer Protein 230 Purity Assay Isotopic Incorporation >99% Concentration >5 μM after reconstitution in 100 μl H20 Concentration Concentration determined by LC-MS/MS using a highly pure amino acid analyzed internal Determination reference (QTag), CV ≤10%. Amount >0.5 nmol per vial, two vials supplied. Formulation Lyophilized in 100 mM Tris-HCl 5% Trehalose, pH 8.0 Instructions for Spin vial before opening. Add 100 μL ultrapure H2O to the vial. Vortex thoroughly and spin Reconstitution down. For further dilution, see Application Protocol. Shipping Shipped at ambient temperature Storage Lyophilized product shall be stored at -20°C. See COA for expiry date. Reconstituted product can be stored at -20°C for up to 4 weeks. Avoid repeated freeze-thaw cycles. Notes For research use only Product of Sweden. For research use only. Not intended for pharmaceutical development, diagnostic, therapeutic or any in vivo use. -
Blood-Based Molecular Biomarker Signatures in Alzheimer's
bioRxiv preprint doi: https://doi.org/10.1101/481879; this version posted December 31, 2018. 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. Article Blood-based molecular biomarker signatures in Alzheimer’s disease: insights from systems biomedicine perspective Tania Islam 1,#, Md. Rezanur Rahman 2,#,*, Md. Shahjaman3, Toyfiquz Zaman2, Md. Rezaul Karim2, Julian M.W. Quinn4, R.M. Damian Holsinger5,6, and Mohammad Ali Moni 6,* 1Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh; [email protected](T.I.). 2 Department of Biochemistry and Biotechnology, School of Biomedical Science, Khwaja Yunus Ali University, Sirajgonj, Bangladesh; [email protected](M.R.R.). 3 Department of Statistics, Begum Rokeya University, Rangpur, Bangladesh; [email protected] (M.S.). 4 Bone Biology Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia;[email protected](J.W.W.Q.). 5 Laboratory of Molecular Neuroscience and Dementia, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia; [email protected] (R.M.D.H.). 6 Discipline of Biomedical Science, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia; [email protected] (M.A.M.). #These two authors have made an equal contribution and hold joint first authorship for this work. * Correspondence: [email protected] (M.R.R.) or [email protected] (M.A.M.). Abstract: Background and objectives: Alzheimer’s disease (AD) is the progressive neurodegenerative disease characterized by dementia, but no peripheral biomarkers available yet that can detect the AD. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
X-Linked Diseases: Susceptible Females
REVIEW ARTICLE X-linked diseases: susceptible females Barbara R. Migeon, MD 1 The role of X-inactivation is often ignored as a prime cause of sex data include reasons why women are often protected from the differences in disease. Yet, the way males and females express their deleterious variants carried on their X chromosome, and the factors X-linked genes has a major role in the dissimilar phenotypes that that render women susceptible in some instances. underlie many rare and common disorders, such as intellectual deficiency, epilepsy, congenital abnormalities, and diseases of the Genetics in Medicine (2020) 22:1156–1174; https://doi.org/10.1038/s41436- heart, blood, skin, muscle, and bones. Summarized here are many 020-0779-4 examples of the different presentations in males and females. Other INTRODUCTION SEX DIFFERENCES ARE DUE TO X-INACTIVATION Sex differences in human disease are usually attributed to The sex differences in the effect of X-linked pathologic variants sex specific life experiences, and sex hormones that is due to our method of X chromosome dosage compensation, influence the function of susceptible genes throughout the called X-inactivation;9 humans and most placental mammals – genome.1 5 Such factors do account for some dissimilarities. compensate for the sex difference in number of X chromosomes However, a major cause of sex-determined expression of (that is, XX females versus XY males) by transcribing only one disease has to do with differences in how males and females of the two female X chromosomes. X-inactivation silences all X transcribe their gene-rich human X chromosomes, which is chromosomes but one; therefore, both males and females have a often underappreciated as a cause of sex differences in single active X.10,11 disease.6 Males are the usual ones affected by X-linked For 46 XY males, that X is the only one they have; it always pathogenic variants.6 Females are biologically superior; a comes from their mother, as fathers contribute their Y female usually has no disease, or much less severe disease chromosome. -
Characterization of Genetic Aberrations in a Single Case of Metastatic Thymic Adenocarcinoma Yeonghun Lee1, Sehhoon Park2, Se-Hoon Lee2,3* and Hyunju Lee1*
Lee et al. BMC Cancer (2017) 17:330 DOI 10.1186/s12885-017-3282-9 RESEARCH ARTICLE Open Access Characterization of genetic aberrations in a single case of metastatic thymic adenocarcinoma Yeonghun Lee1, Sehhoon Park2, Se-Hoon Lee2,3* and Hyunju Lee1* Abstract Background: Thymic adenocarcinoma is an extremely rare subtype of thymic epithelial tumors. Due to its rarity, there is currently no sequencing approach for thymic adenocarcinoma. Methods: We performed whole exome and transcriptome sequencing on a case of thymic adenocarcinoma and performed subsequent validation using Sanger sequencing. Results: The case of thymic adenocarcinoma showed aggressive behaviors with systemic bone metastases. We identified a high incidence of genetic aberrations, which included somatic mutations in RNASEL, PEG10, TNFSF15, TP53, TGFB2, and FAT1. Copy number analysis revealed a complex chromosomal rearrangement of chromosome 8, which resulted in gene fusion between MCM4 and SNTB1 and dramatic amplification of MYC and NDRG1. Focal deletion was detected at human leukocyte antigen (HLA) class II alleles, which was previously observed in thymic epithelial tumors. We further investigated fusion transcripts using RNA-seq data and found an intergenic splicing event between the CTBS and GNG5 transcript. Finally, enrichment analysis using all the variants represented the immune system dysfunction in thymic adenocarcinoma. Conclusion: Thymic adenocarcinoma shows highly malignant characteristics with alterations in several cancer- related genes. Keywords: Thymic adenocarcinoma, Thymic epithelial tumors, Whole exome sequencing, Somatic mutations, Somatic copy number alterations Background With their distinct entities, thymic adenocarcinomas Thymic adenocarcinoma is an extremely rare subtype of have shown higher malignancy than other thymic epi- thymic carcinoma. Thirty-five cases have been reported thelial tumors (TETs).