A 700-Kb Physical Map of a Region of 16Q23.2 Homozygously Deleted in Multiple Cancers and Spanning the Common Fragile Site FRA16D1
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Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Identification of C3 As a Therapeutic Target for Diabetic Nephropathy By
www.nature.com/scientificreports OPEN Identifcation of C3 as a therapeutic target for diabetic nephropathy by bioinformatics analysis ShuMei Tang, XiuFen Wang, TianCi Deng, HuiPeng Ge & XiangCheng Xiao* The pathogenesis of diabetic nephropathy is not completely understood, and the efects of existing treatments are not satisfactory. Various public platforms already contain extensive data for deeper bioinformatics analysis. From the GSE30529 dataset based on diabetic nephropathy tubular samples, we identifed 345 genes through diferential expression analysis and weighted gene coexpression correlation network analysis. GO annotations mainly included neutrophil activation, regulation of immune efector process, positive regulation of cytokine production and neutrophil-mediated immunity. KEGG pathways mostly included phagosome, complement and coagulation cascades, cell adhesion molecules and the AGE-RAGE signalling pathway in diabetic complications. Additional datasets were analysed to understand the mechanisms of diferential gene expression from an epigenetic perspective. Diferentially expressed miRNAs were obtained to construct a miRNA-mRNA network from the miRNA profles in the GSE57674 dataset. The miR-1237-3p/SH2B3, miR-1238-5p/ ZNF652 and miR-766-3p/TGFBI axes may be involved in diabetic nephropathy. The methylation levels of the 345 genes were also tested based on the gene methylation profles of the GSE121820 dataset. The top 20 hub genes in the PPI network were discerned using the CytoHubba tool. Correlation analysis with GFR showed that SYK, CXCL1, LYN, VWF, ANXA1, C3, HLA-E, RHOA, SERPING1, EGF and KNG1 may be involved in diabetic nephropathy. Eight small molecule compounds were identifed as potential therapeutic drugs using Connectivity Map. It is estimated that a total of 451 million people sufered from diabetes by 2017, and the number is speculated to be 693 million by 2045 1. -
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SAN TA C RUZ BI OTEC HNOL OG Y, INC . LysRS (H-300): sc-98559 BACKGROUND APPLICATIONS The fidelity of protein synthesis requires efficient discrimination of amino LysRS (H-300) is recommended for detection of LysRS of mouse, rat and acid substrates by aminoacyl-tRNA synthetases. Aminoacyl-tRNA synthetases human origin by Western Blotting (starting dilution 1:200, dilution range function to catalyze the aminoacylation of tRNAs by their corresponding amino 1:100-1:1000), immunoprecipitation [1-2 µg per 100-500 µg of total protein acids, thus linking amino acids with tRNA-contained nucleotide triplets. LysRS (1 ml of cell lysate)], immunofluorescence (starting dilution 1:50, dilution (lysyl-tRNA synthetase), also known as KARS, KRS or KARS2, exists as both range 1:50-1:500) and solid phase ELISA (starting dilution 1:30, dilution mitochondrial and cytoplasmic isoforms (625 and 576 amino acids, respec - range 1:30-1:3000). tively) that belong to the tRNA synthetase family and are thought to play a LysRS (H-300) is also recommended for detection of LysRS in additional role in autoimmune diseases, such as polymyositis or dermatomyositis. The species, including equine, canine, bovine and porcine. gene encoding LysRS maps to human chromosome 16, which encodes over 900 genes and comprises nearly 3% of the human genome. Suitable for use as control antibody for LysRS siRNA (h): sc-75718, LysRS siRNA (m): sc-75719, LysRS shRNA Plasmid (h): sc-75718-SH, LysRS shRNA REFERENCES Plasmid (m): sc-75719-SH, LysRS shRNA (h) Lentiviral Particles: sc-75718-V and LysRS shRNA (m) Lentiviral Particles: sc-75719-V. -
A Master Autoantigen-Ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 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 4.0 International license. A Master Autoantigen-ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases Julia Y. Wang1*, Michael W. Roehrl1, Victor B. Roehrl1, and Michael H. Roehrl2* 1 Curandis, New York, USA 2 Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA * Correspondence: [email protected] or [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 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 4.0 International license. Abstract Chronic and debilitating autoimmune sequelae pose a grave concern for the post-COVID-19 pandemic era. Based on our discovery that the glycosaminoglycan dermatan sulfate (DS) displays peculiar affinity to apoptotic cells and autoantigens (autoAgs) and that DS-autoAg complexes cooperatively stimulate autoreactive B1 cell responses, we compiled a database of 751 candidate autoAgs from six human cell types. At least 657 of these have been found to be affected by SARS-CoV-2 infection based on currently available multi-omic COVID data, and at least 400 are confirmed targets of autoantibodies in a wide array of autoimmune diseases and cancer. -
"The Genecards Suite: from Gene Data Mining to Disease Genome Sequence Analyses". In: Current Protocols in Bioinformat
The GeneCards Suite: From Gene Data UNIT 1.30 Mining to Disease Genome Sequence Analyses Gil Stelzer,1,5 Naomi Rosen,1,5 Inbar Plaschkes,1,2 Shahar Zimmerman,1 Michal Twik,1 Simon Fishilevich,1 Tsippi Iny Stein,1 Ron Nudel,1 Iris Lieder,2 Yaron Mazor,2 Sergey Kaplan,2 Dvir Dahary,2,4 David Warshawsky,3 Yaron Guan-Golan,3 Asher Kohn,3 Noa Rappaport,1 Marilyn Safran,1 and Doron Lancet1,6 1Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel 2LifeMap Sciences Ltd., Tel Aviv, Israel 3LifeMap Sciences Inc., Marshfield, Massachusetts 4Toldot Genetics Ltd., Hod Hasharon, Israel 5These authors contributed equally to the paper 6Corresponding author GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better-targeted data queries, and friendlier user experience. It also provides a stronger foundation for the GeneCards suite of companion databases and analysis tools. Improved data unification includes gene-disease links via MalaCards and merged biological pathways via PathCards, as well as drug information and proteome expression. VarElect, another suite member, is a phenotype prioritizer for next-generation sequencing, leveraging the GeneCards and MalaCards knowledgebase. It au- tomatically infers direct and indirect scored associations between hundreds or even thousands of variant-containing genes and disease phenotype terms. Var- Elect’s capabilities, either independently or within TGex, our comprehensive variant analysis pipeline, help prepare for the challenge of clinical projects that involve thousands of exome/genome NGS analyses. -
Mutations in KARS, Encoding Lysyl-Trna Synthetase, Cause Autosomal-Recessive Nonsyndromic Hearing Impairment DFNB89
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector REPORT Mutations in KARS, Encoding Lysyl-tRNA Synthetase, Cause Autosomal-Recessive Nonsyndromic Hearing Impairment DFNB89 Regie Lyn P. Santos-Cortez,1,8 Kwanghyuk Lee,1,8 Zahid Azeem,2,3 Patrick J. Antonellis,4,5 Lana M. Pollock,4,6 Saadullah Khan,2 Irfanullah,2 Paula B. Andrade-Elizondo,1 Ilene Chiu,1 Mark D. Adams,6 Sulman Basit,2 Joshua D. Smith,7 University of Washington Center for Mendelian Genomics, Deborah A. Nickerson,7 Brian M. McDermott, Jr.,4,5,6 Wasim Ahmad,2 and Suzanne M. Leal1,* Previously, DFNB89, a locus associated with autosomal-recessive nonsyndromic hearing impairment (ARNSHI), was mapped to chromo- somal region 16q21–q23.2 in three unrelated, consanguineous Pakistani families. Through whole-exome sequencing of a hearing- impaired individual from each family, missense mutations were identified at highly conserved residues of lysyl-tRNA synthetase (KARS): the c.1129G>A (p.Asp377Asn) variant was found in one family, and the c.517T>C (p.Tyr173His) variant was found in the other two families. Both variants were predicted to be damaging by multiple bioinformatics tools. The two variants both segregated with the nonsyndromic-hearing-impairment phenotype within the three families, and neither mutation was identified in ethnically matched controls or within variant databases. Individuals homozygous for KARS mutations had symmetric, severe hearing impairment across all frequencies but did not show evidence of auditory or limb neuropathy. It has been demonstrated that KARS is expressed in hair cells of zebrafish, chickens, and mice. -
ADHD) Gene Networks in Children of Both African American and European American Ancestry
G C A T T A C G G C A T genes Article Rare Recurrent Variants in Noncoding Regions Impact Attention-Deficit Hyperactivity Disorder (ADHD) Gene Networks in Children of both African American and European American Ancestry Yichuan Liu 1 , Xiao Chang 1, Hui-Qi Qu 1 , Lifeng Tian 1 , Joseph Glessner 1, Jingchun Qu 1, Dong Li 1, Haijun Qiu 1, Patrick Sleiman 1,2 and Hakon Hakonarson 1,2,3,* 1 Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA; [email protected] (Y.L.); [email protected] (X.C.); [email protected] (H.-Q.Q.); [email protected] (L.T.); [email protected] (J.G.); [email protected] (J.Q.); [email protected] (D.L.); [email protected] (H.Q.); [email protected] (P.S.) 2 Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA 3 Department of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA * Correspondence: [email protected]; Tel.: +1-267-426-0088 Abstract: Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder with poorly understood molecular mechanisms that results in significant impairment in children. In this study, we sought to assess the role of rare recurrent variants in non-European populations and outside of coding regions. We generated whole genome sequence (WGS) data on 875 individuals, Citation: Liu, Y.; Chang, X.; Qu, including 205 ADHD cases and 670 non-ADHD controls. The cases included 116 African Americans H.-Q.; Tian, L.; Glessner, J.; Qu, J.; Li, (AA) and 89 European Americans (EA), and the controls included 408 AA and 262 EA. -
Ejhg2009157.Pdf
European Journal of Human Genetics (2010) 18, 342–347 & 2010 Macmillan Publishers Limited All rights reserved 1018-4813/10 $32.00 www.nature.com/ejhg ARTICLE Fine mapping and association studies of a high-density lipoprotein cholesterol linkage region on chromosome 16 in French-Canadian subjects Zari Dastani1,2,Pa¨ivi Pajukanta3, Michel Marcil1, Nicholas Rudzicz4, Isabelle Ruel1, Swneke D Bailey2, Jenny C Lee3, Mathieu Lemire5,9, Janet Faith5, Jill Platko6,10, John Rioux6,11, Thomas J Hudson2,5,7,9, Daniel Gaudet8, James C Engert*,2,7, Jacques Genest1,2,7 Low levels of high-density lipoprotein cholesterol (HDL-C) are an independent risk factor for cardiovascular disease. To identify novel genetic variants that contribute to HDL-C, we performed genome-wide scans and quantitative association studies in two study samples: a Quebec-wide study consisting of 11 multigenerational families and a study of 61 families from the Saguenay– Lac St-Jean (SLSJ) region of Quebec. The heritability of HDL-C in these study samples was 0.73 and 0.49, respectively. Variance components linkage methods identified a LOD score of 2.61 at 98 cM near the marker D16S515 in Quebec-wide families and an LOD score of 2.96 at 86 cM near the marker D16S2624 in SLSJ families. In the Quebec-wide sample, four families showed segregation over a 25.5-cM (18 Mb) region, which was further reduced to 6.6 Mb with additional markers. The coding regions of all genes within this region were sequenced. A missense variant in CHST6 segregated in four families and, with additional families, we observed a P value of 0.015 for this variant. -
Differential Co-Expression Analysis of Obesity-Associated Networks in Human Subcutaneous Adipose Tissue
Europe PMC Funders Group Author Manuscript Int J Obes (Lond). Author manuscript; available in PMC 2012 July 01. Published in final edited form as: Int J Obes (Lond). 2012 January ; 36(1): 137–147. doi:10.1038/ijo.2011.22. Europe PMC Funders Author Manuscripts Differential co-expression analysis of obesity-associated networks in human subcutaneous adipose tissue A.J. Walley1,*, P. Jacobson2,*, M. Falchi1,*, L. Bottolo1,3, J.C. Andersson1,2, E. Petretto3,4, A. Bonnefond5, E. Vaillant5, C. Lecoeur5, V. Vatin5, M. Jernas2, D. Balding1,6, M. Petteni1, Y.S. Park1, T. Aitman4, S. Richardson3, L. Sjostrom2, L. M. S. Carlsson2,*, and P. Froguel1,5,*,† 1 Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK 2 Department of Molecular and Clinical Medicine, The Sahlgrenska Academy, Gothenburg University, SE-413 07 Gothenburg, Sweden 3 Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Marys Hospital, 161 Norfolk Place, London, UK 4 MRC Clinical Sciences Centre, Division of Clinical Sciences, Imperial College London, Commonwealth Building, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK 5CNRS 8090-Institute of Biology, Pasteur Institute, Lille, France. 6Institute of Genetics, University College London, Kathleen Lonsdale Building, 5 Gower Place, London, WC1 E6B, UK Abstract Europe PMC Funders Author Manuscripts Objective—To use a unique obesity-discordant sib-pair study design to combine differential expression analysis, expression quantitative trait loci (eQTLs) mapping, and a co-expression regulatory network approach in subcutaneous human adipose tissue to identify genes relevant to the obese state. -
Increased Dosage of High-Affinity Kainate Receptor Gene Grik4alters Synaptic Transmission and Reproduces Autism Spectrum Disorde
The Journal of Neuroscience, October 7, 2015 • 35(40):13619–13628 • 13619 Cellular/Molecular Increased Dosage of High-Affinity Kainate Receptor Gene grik4 Alters Synaptic Transmission and Reproduces Autism Spectrum Disorders Features X M. Isabel Aller, Valeria Pecoraro, Ana V. Paternain, XSantiago Canals, and XJuan Lerma Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas, Universidad Miguel Herna´ndez de Elche, 03550 San Juan de Alicante, Spain The understanding of brain diseases requires the identification of the molecular, synaptic, and cellular disruptions underpinning the behavioral features that define the disease. The importance of genes related to synaptic function in brain disease has been implied in studies describing de novo germline mutations and copy number variants. Indeed, de novo copy number variations (deletion or dupli- cation of a chromosomal region) of synaptic genes have been recently implicated as risk factors for mental retardation or autism. Among these genes is GRIK4, a gene coding for a glutamate receptor subunit of the kainate type. Here we show that mice overexpressing grik4 in the forebrain displayed social impairment, enhanced anxiety, and depressive states, accompanied by altered synaptic transmission, showing more efficient information transfer through the hippocampal trisynaptic circuit. Together, these data indicate that a single gene variation in the glutamatergic system results in behavioral symptomatology consistent with autism spectrum disorders as well as in alterations in -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
Ewing Sarcoma Family of Tumors-Derived Small Extracellular Vesicle Proteomics Identify Potential Clinical Biomarkers
www.oncotarget.com Oncotarget, 2020, Vol. 11, (No. 31), pp: 2995-3012 Research Paper Ewing sarcoma family of tumors-derived small extracellular vesicle proteomics identify potential clinical biomarkers Glenson Samuel1,2,3,*, Jennifer Crow4,*, Jon B. Klein5,6, Michael L. Merchant5, Emily Nissen7, Devin C. Koestler3,7, Kris Laurence1, Xiaobo Liang4, Kathleen Neville8, Vincent Staggs2,9, Atif Ahmed2,10, Safinur Atay4,11 and Andrew K. Godwin3,4 1Division of Pediatric Hematology Oncology and Bone Marrow Transplantation, Children’s Mercy Hospital, Kansas City, MO, USA 2Department of Pediatrics, University of Missouri-Kansas City, Kansas City, MO, USA 3University of Kansas Cancer Center, Kansas City, MO, USA 4Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, USA 5Clinical Proteomics Laboratory, Department of Medicine, University of Louisville, Louisville, KY, USA 6Robley Rex VA Medical Center, Louisville, KY, USA 7Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA 8Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA 9Biostatistics & Epidemiology Core, Children’s Mercy Hospital, Kansas City, MO, USA 10Department of Pathology, Children’s Mercy Hospital, Kansas City, MO, USA 11Bristol-Myers Squibb, Cambridge, MA, USA *These authors contributed equally to this work Correspondence to: Andrew K. Godwin, email: [email protected] Keywords: Ewing sarcoma; EWS-ETS; biomarkers; extracellular vesicles; exosomes Received: April 18, 2020 Accepted: June 20, 2020 Published: August 04, 2020 Copyright: Samuel et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.