Maser: One-Stop Platform for NGS Big Data from Analysis to Visualization
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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. -
CCT2 Antibody A
Revision 5 C 0 2 - t CCT2 Antibody a e r o t S Orders: 877-616-CELL (2355) [email protected] Support: 877-678-TECH (8324) 1 6 Web: [email protected] 5 www.cellsignal.com 3 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source: UniProt ID: Entrez-Gene Id: WB, IP H M R Mk Endogenous 54 Rabbit P78371 10576 Product Usage Information 6. McCormack, E.A. et al. (2001) J Struct Biol 135, 198-204. Application Dilution Western Blotting 1:1000 Immunoprecipitation 1:100 Storage Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA and 50% glycerol. Store at –20°C. Do not aliquot the antibody. Specificity / Sensitivity CCT2 Antibody detects endogenous levels of total CCT2 protein. Species Reactivity: Human, Mouse, Rat, Monkey Source / Purification Polyclonal antibodies are produced by immunizing animals with a synthetic peptide corresponding to human CCT2. Antibodies are purified by protein A and peptide affinity chromatography. Background CCT2 is one of eight largely unrelated subunit proteins found in a protein chaperone complex known as the chaperonin-containing TCP-1 (CCT) or TRiC complex. The CCT complex is an abundanct cytoslic component that is credited with helping newly synthesized polypeptides adopt the correct conformation (1). Proteins that fold and assemble with the help of CCT include the cytoskeletal proteins actin and tubulin as well as up to 15% of newly synthesized eukaryotic proteins (2). CCT2 is the β-subunit of the chaperone complex and is one of several CCT proteins that exhibit increased expression in response to stress. -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
The Unfolded Protein Response and Its Potential Role In
F1000Research 2016, 4:103 Last updated: 22 JUL 2020 RESEARCH ARTICLE The unfolded protein response and its potential role in Huntington's disease elucidated by a systems biology approach [version 2; peer review: 2 approved] Ravi Kiran Reddy Kalathur1, Joaquin Giner-Lamia1, Susana Machado1, Tania Barata1, Kameshwar R S Ayasolla1, Matthias E. Futschik1,2 1Centre for Biomedical Research, University of Algarve, Faro, 8005-139, Portugal 2Centre of Marine Sciences, University of Algarve, Faro, 8005-139, Portugal First published: 01 May 2015, 4:103 Open Peer Review v2 https://doi.org/10.12688/f1000research.6358.1 Latest published: 02 Mar 2016, 4:103 https://doi.org/10.12688/f1000research.6358.2 Reviewer Status Abstract Invited Reviewers Huntington ́s disease (HD) is a progressive, neurodegenerative disease 1 2 with a fatal outcome. Although the disease-causing gene (huntingtin) has been known for over 20 years, the exact mechanisms leading to neuronal version 2 cell death are still controversial. One potential mechanism contributing to (revision) report the massive loss of neurons observed in the brain of HD patients could be 02 Mar 2016 the unfolded protein response (UPR) activated by accumulation of misfolded proteins in the endoplasmic reticulum (ER). As an adaptive response to counter-balance accumulation of un- or misfolded proteins, the version 1 UPR upregulates transcription of chaperones, temporarily attenuates new 01 May 2015 report report translation, and activates protein degradation via the proteasome. However, persistent ER stress and an activated UPR can also cause apoptotic cell death. Although different studies have indicated a role for the Scott Zeitlin, University of Virginia, UPR in HD, the evidence remains inconclusive. -
BBS6, BBS10, and BBS12 Form a Complex with CCT/Tric Family Chaperonins and Mediate Bbsome Assembly
BBS6, BBS10, and BBS12 form a complex with CCT/TRiC family chaperonins and mediate BBSome assembly Seongjin Seoa,c, Lisa M. Bayeb, Nathan P. Schulza,c, John S. Becka,c, Qihong Zhanga,c, Diane C. Slusarskib, and Val C. Sheffielda,c,1 aDepartment of Pediatrics, bDepartment of Biology, and cHoward Hughes Medical Institute, University of Iowa, Iowa City, IA 52242 Edited by Kathryn V. Anderson, Sloan-Kettering Institute, New York, NY, and approved November 25, 2009 (received for review September 9, 2009) Bardet-Biedl syndrome (BBS) is a human genetic disorder resulting one component of the BBSome, BBS1, directly interacts with the in obesity, retinal degeneration, polydactyly, and nephropathy. leptin receptor and that leptin signaling is attenuated in BBS Recent studies indicate that trafficking defects to the ciliary mem- gene knockout mice, implicating BBS function in a broad range brane are involved in this syndrome. Here, we show that a novel of membrane receptor signaling (33). complex composed of three chaperonin-like BBS proteins (BBS6, Three of the remaining BBS proteins (BBS6, BBS10, and BBS10, and BBS12) and CCT/TRiC family chaperonins mediates BBS12) have sequence homology to the CCT (also known as BBSome assembly, which transports vesicles to the cilia. Chaperonin- TRiC) family of group II chaperonins (17, 24, 25). CCT proteins like BBS proteins interact with a subset of BBSome subunits and form an ≈900 kDa hetero-oligomeric complex that mediates promote their association with CCT chaperonins. CCT activity is protein folding in an ATP-dependent manner (34, 35). The CCT essential for BBSome assembly, and knockdown of CCT chaperonins complex consists of two stacked rings, each of which is composed in zebrafish results in BBS phenotypes. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase. -
Novel Targets of Apparently Idiopathic Male Infertility
International Journal of Molecular Sciences Review Molecular Biology of Spermatogenesis: Novel Targets of Apparently Idiopathic Male Infertility Rossella Cannarella * , Rosita A. Condorelli , Laura M. Mongioì, Sandro La Vignera * and Aldo E. Calogero Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy; [email protected] (R.A.C.); [email protected] (L.M.M.); [email protected] (A.E.C.) * Correspondence: [email protected] (R.C.); [email protected] (S.L.V.) Received: 8 February 2020; Accepted: 2 March 2020; Published: 3 March 2020 Abstract: Male infertility affects half of infertile couples and, currently, a relevant percentage of cases of male infertility is considered as idiopathic. Although the male contribution to human fertilization has traditionally been restricted to sperm DNA, current evidence suggest that a relevant number of sperm transcripts and proteins are involved in acrosome reactions, sperm-oocyte fusion and, once released into the oocyte, embryo growth and development. The aim of this review is to provide updated and comprehensive insight into the molecular biology of spermatogenesis, including evidence on spermatogenetic failure and underlining the role of the sperm-carried molecular factors involved in oocyte fertilization and embryo growth. This represents the first step in the identification of new possible diagnostic and, possibly, therapeutic markers in the field of apparently idiopathic male infertility. Keywords: spermatogenetic failure; embryo growth; male infertility; spermatogenesis; recurrent pregnancy loss; sperm proteome; DNA fragmentation; sperm transcriptome 1. Introduction Infertility is a widespread condition in industrialized countries, affecting up to 15% of couples of childbearing age [1]. It is defined as the inability to achieve conception after 1–2 years of unprotected sexual intercourse [2]. -
A Unique Collection of Neurodevelopmental Genes
7586 • The Journal of Neuroscience, August 17, 2005 • 25(33):7586–7600 Development/Plasticity/Repair Telencephalic Embryonic Subtractive Sequences: A Unique Collection of Neurodevelopmental Genes Alessandro Bulfone,2 Pietro Carotenuto,1,3* Andrea Faedo,2* Veruska Aglio,1* Livia Garzia,1,3 Anna Maria Bello,1 Andrea Basile,2 Alessandra Andre`,1 Massimo Cocchia,3 Ombretta Guardiola,1 Andrea Ballabio,3 John L. R. Rubenstein,4 and Massimo Zollo1 1Centro di Ingegneria Genetica e Biotecnologie Avanzate, 80145 Napoli, Italy, 2Stem Cell Research Institute–Hospital San Raffaele, Istituto Scientifico San Raffaele, 20132 Milan, Italy, 3Telethon Institute of Genetics and Medicine, 80131 Naples, Italy, and 4Nina Ireland Laboratory of Developmental Neurobiology, Center for Neurobiology and Psychiatry Genetics, University of California at San Francisco, San Francisco, California 94143-2611 The vertebrate telencephalon is composed of many architectonically and functionally distinct areas and structures, with billions of neurons that are precisely connected. This complexity is fine-tuned during development by numerous genes. To identify genes involved in the regulation of telencephalic development, a specific subset of differentially expressed genes was characterized. Here, we describe a set of cDNAs encoded by genes preferentially expressed during development of the mouse telencephalon that was identified through a functional genomics approach. Of 832 distinct transcripts found, 223 (27%) are known genes. Of the remaining, 228 (27%) correspond to expressed sequence tags of unknown function, 58 (7%) are homologs or orthologs of known genes, and 323 (39%) correspond to novel rare transcripts, including 48 (14%) new putative noncoding RNAs. As an example of this latter group of novel precursor transcripts of micro-RNAs, telencephalic embryonic subtractive sequence (TESS) 24.E3 was functionally characterized, and one of its targets was identified: the zinc finger transcription factor ZFP9. -
Powerful Gene-Based Testing by Integrating Long-Range Chromatin Interactions and Knockoff Genotypes
medRxiv preprint doi: https://doi.org/10.1101/2021.07.14.21260405; this version posted July 18, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes Shiyang Ma1, James L. Dalgleish1, Justin Lee2, Chen Wang1, Linxi Liu3, Richard Gill4;5, Joseph D. Buxbaum6, Wendy Chung7, Hugues Aschard8, Edwin K. Silverman9, Michael H. Cho9, Zihuai He2;10, Iuliana Ionita-Laza1;# 1 Department of Biostatistics, Columbia University, New York, NY, 10032, USA 2 Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94305, USA 3 Department of Statistics, University of Pittsburgh, Pittsburgh, PA, 15260, USA 4 Department of Human Genetics, Genentech, South San Francisco, CA, 94080, USA 5 Department of Epidemiology, Columbia University, New York, NY, 10032, USA 6 Departments of Psychiatry, Neuroscience, and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA 7 Department of Pediatrics and Medicine, Herbert Irving Comprehensive Cancer Center, Columbia Uni- versity Irving Medical Center, New York, NY, 10032, USA 8 Department of Computational Biology, Institut Pasteur, Paris, France 9 Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA 10 Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA # e-mail: [email protected] Abstract Gene-based tests are valuable techniques for identifying genetic factors in complex traits. -
Whole Genome Analyses of a Well-Differentiated Liposarcoma Reveals Novel SYT1 and DDR2 Rearrangements
Whole Genome Analyses of a Well-Differentiated Liposarcoma Reveals Novel SYT1 and DDR2 Rearrangements Jan B. Egan1, Michael T. Barrett2, Mia D. Champion3,4, Sumit Middha5, Elizabeth Lenkiewicz2, Lisa Evers2, Princy Francis 6 Jessica Schmidt 6 Chang-Xin , Shi 6 , Scott Van Wier, 6 Sandra, Badar 6 , Gregory Ahmann 6 K., Martin Kortuem 7 , Nicole J. Boczek8 , Rafael Fonseca 1 , 9, David W. Craig10, John D. Carpten11, Mitesh J. Borad1,9, A. Keith Stewart1,9* 1 Comprehensive Cancer Center, Mayo Clinic, Scottsdale, Arizona, United States of America, 2 Clinical Translational Research Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America, 3 Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America, 4 Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America, 5 Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America, 6 Research, Mayo Clinic, Scottsdale, Arizona, United States of America, 7 Hematology, Mayo Clinic, Scottsdale, Arizona, United States of America, 8 Mayo Graduate School, Mayo Clinic, Rochester, Minnesota, United States of America, 9 Division of Hematology/Oncology Mayo Clinic, Scottsdale, Arizona, United States of America, 10 Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America, 11 Integrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America Abstract Liposarcoma is the most common soft tissue sarcoma, but little is known about the genomic basis of this disease. Given the low cell content of this tumor type, we utilized flow cytometry to isolate the diploid normal and aneuploid tumor populations from a well-differentiated liposarcoma prior to array comparative genomic hybridization and whole genome sequencing. -
The Architecture and Evolution of Cancer Neochromosomes
Cancer Cell Article The Architecture and Evolution of Cancer Neochromosomes Dale W. Garsed,1,8,9,15 Owen J. Marshall,5,15,17 Vincent D.A. Corbin,2,3,13,15 Arthur Hsu,2,15 Leon Di Stefano,2 Jan Schro¨ der,2,3 Jason Li,1 Zhi-Ping Feng,2,3 Bo W. Kim,5 Mark Kowarsky,2 Ben Lansdell,2 Ross Brookwell,6 Ola Myklebost,10 Leonardo Meza-Zepeda,10 Andrew J. Holloway,1 Florence Pedeutour,7 K.H. Andy Choo,5 Michael A. Damore,11 Andrew J. Deans,12 Anthony T. Papenfuss,2,3,4,8,13,16,* and David M. Thomas1,8,14,16,* 1Cancer Genomics, Peter MacCallum Cancer Centre, East Melbourne, VIC 3002, Australia 2Bioinformatics Division, The Walter & Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia 3Department of Medical Biology, University of Melbourne, VIC 3010, Australia 4Department of Mathematics and Statistics, University of Melbourne, VIC, 3010, Australia 5Chromosome Research, Murdoch Childrens Research Institute, and Department of Paediatrics, Royal Children’s Hospital, University of Melbourne, Parkville, VIC 3052, Australia 6Sullivan Nicolaides Pathology, Indooroopilly, QLD 4068, Australia 7Laboratory of Solid Tumors Genetics, Nice University Hospital, Nice 06107, France 8Sir Peter MacCallum Department of Oncology, University of Melbourne, VIC 3010, Australia 9Department of Pathology, University of Melbourne, VIC 3010, Australia 10Department of Tumor Biology, Oslo University Hospital, Norwegian Radium Hospital, Oslo 0424, Norway 11Amgen, Thousand Oaks, CA 91320, USA 12St Vincent’s Institute, Fitzroy, VIC 3065, Australia 13Bioinformatics -
Network-Assisted Analysis of Primary Sjögren's Syndrome GWAS Data In
Network-assisted analysis of primary Sjögren’s syndrome GWAS data in Han Chinese Kechi Fang, Kunlin Zhang, Jing Wang* Address: Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China. Email: Kechi Fang – [email protected]; Kunlin Zhang – [email protected]; Jing Wang – [email protected] *Corresponding author 1 Supplementary materials Page 3 – Page 5: Supplementary Figure S1. The direct network formed by the module genes from DAPPLE. Page 6: Supplementary Figure S2. Transcript expression heatmap. Page 7: Supplementary Figure S3. Transcript enrichment heatmap. Page 8: Supplementary Figure S4. Workflow of network-assisted analysis of pSS GWAS data to identify candidate genes. Page 9 – Page 734: Supplementary Table S1. A full list of PPI pairs involved in the node-weighted pSS interactome. Page 735 – Page 737: Supplementary Table S2. Detailed information about module genes and sigMHC-genes. Page 738: Supplementary Table S3. GO terms enriched by module genes. 2 NFKBIE CFLAR NFKB1 STAT4 JUN HSF1 CCDC90B SUMO2 STAT1 PAFAH1B3 NMI GTF2I 2e−04 CDKN2C LAMA4 8e−04 HDAC1 EED 0.002 WWOX PSMD7 0.008 TP53 PSMA1 HR 0.02 RPA1 0.08 UBC ARID3A PTTG1 0.2 TSC22D4 ERH NIF3L1 0.4 MAD2L1 DMRTB1 1 ERBB4 PRMT2 FXR2 MBL2 CBS UHRF2 PCNP VTA1 3 DNMT3B DNMT1 RBBP4 DNMT3A RFC3 DDB1 THRA CBX5 EED NR2F2 RAD9A HUS1 RFC4 DDB2 HDAC2 HCFC1 CDC45L PPP1CA MLLSMARCA2 PGR SP3 EZH2 CSNK2B HIST1H4C HIST1H4F HNRNPUL1 HR HIST4H4 TAF1C HIST1H4A ENSG00000206300 APEX1 TFDP1 RHOA ENSG00000206406 RPF2 E2F4 HIST1H4IHIST1H4B HIST1H4D