Transcriptional Profiling of Inductive Mesenchyme to Identify Molecules Involved in Prostate Development and Disease
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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, -
DIPPER, a Spatiotemporal Proteomics Atlas of Human Intervertebral Discs
TOOLS AND RESOURCES DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics Vivian Tam1,2†, Peikai Chen1†‡, Anita Yee1, Nestor Solis3, Theo Klein3§, Mateusz Kudelko1, Rakesh Sharma4, Wilson CW Chan1,2,5, Christopher M Overall3, Lisbet Haglund6, Pak C Sham7, Kathryn Song Eng Cheah1, Danny Chan1,2* 1School of Biomedical Sciences, , The University of Hong Kong, Hong Kong; 2The University of Hong Kong Shenzhen of Research Institute and Innovation (HKU-SIRI), Shenzhen, China; 3Centre for Blood Research, Faculty of Dentistry, University of British Columbia, Vancouver, Canada; 4Proteomics and Metabolomics Core Facility, The University of Hong Kong, Hong Kong; 5Department of Orthopaedics Surgery and Traumatology, HKU-Shenzhen Hospital, Shenzhen, China; 6Department of Surgery, McGill University, Montreal, Canada; 7Centre for PanorOmic Sciences (CPOS), The University of Hong Kong, Hong Kong Abstract The spatiotemporal proteome of the intervertebral disc (IVD) underpins its integrity *For correspondence: and function. We present DIPPER, a deep and comprehensive IVD proteomic resource comprising [email protected] 94 genome-wide profiles from 17 individuals. To begin with, protein modules defining key †These authors contributed directional trends spanning the lateral and anteroposterior axes were derived from high-resolution equally to this work spatial proteomes of intact young cadaveric lumbar IVDs. They revealed novel region-specific Present address: ‡Department profiles of regulatory activities -
Discovery and Systematic Characterization of Risk Variants and Genes For
medRxiv preprint doi: https://doi.org/10.1101/2021.05.24.21257377; this version posted June 2, 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 4.0 International license . 1 Discovery and systematic characterization of risk variants and genes for 2 coronary artery disease in over a million participants 3 4 Krishna G Aragam1,2,3,4*, Tao Jiang5*, Anuj Goel6,7*, Stavroula Kanoni8*, Brooke N Wolford9*, 5 Elle M Weeks4, Minxian Wang3,4, George Hindy10, Wei Zhou4,11,12,9, Christopher Grace6,7, 6 Carolina Roselli3, Nicholas A Marston13, Frederick K Kamanu13, Ida Surakka14, Loreto Muñoz 7 Venegas15,16, Paul Sherliker17, Satoshi Koyama18, Kazuyoshi Ishigaki19, Bjørn O Åsvold20,21,22, 8 Michael R Brown23, Ben Brumpton20,21, Paul S de Vries23, Olga Giannakopoulou8, Panagiota 9 Giardoglou24, Daniel F Gudbjartsson25,26, Ulrich Güldener27, Syed M. Ijlal Haider15, Anna 10 Helgadottir25, Maysson Ibrahim28, Adnan Kastrati27,29, Thorsten Kessler27,29, Ling Li27, Lijiang 11 Ma30,31, Thomas Meitinger32,33,29, Sören Mucha15, Matthias Munz15, Federico Murgia28, Jonas B 12 Nielsen34,20, Markus M Nöthen35, Shichao Pang27, Tobias Reinberger15, Gudmar Thorleifsson25, 13 Moritz von Scheidt27,29, Jacob K Ulirsch4,11,36, EPIC-CVD Consortium, Biobank Japan, David O 14 Arnar25,37,38, Deepak S Atri39,3, Noël P Burtt4, Maria C Costanzo4, Jason Flannick40, Rajat M 15 Gupta39,3,4, Kaoru Ito18, Dong-Keun Jang4, -
Deciphering the Molecular Profile of Plaques, Memory Decline And
ORIGINAL RESEARCH ARTICLE published: 16 April 2014 AGING NEUROSCIENCE doi: 10.3389/fnagi.2014.00075 Deciphering the molecular profile of plaques, memory decline and neuron loss in two mouse models for Alzheimer’s disease by deep sequencing Yvonne Bouter 1†,Tim Kacprowski 2,3†, Robert Weissmann4, Katharina Dietrich1, Henning Borgers 1, Andreas Brauß1, Christian Sperling 4, Oliver Wirths 1, Mario Albrecht 2,5, Lars R. Jensen4, Andreas W. Kuss 4* andThomas A. Bayer 1* 1 Division of Molecular Psychiatry, Georg-August-University Goettingen, University Medicine Goettingen, Goettingen, Germany 2 Department of Bioinformatics, Institute of Biometrics and Medical Informatics, University Medicine Greifswald, Greifswald, Germany 3 Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany 4 Human Molecular Genetics, Department for Human Genetics of the Institute for Genetics and Functional Genomics, Institute for Human Genetics, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany 5 Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria Edited by: One of the central research questions on the etiology of Alzheimer’s disease (AD) is the Isidro Ferrer, University of Barcelona, elucidation of the molecular signatures triggered by the amyloid cascade of pathological Spain events. Next-generation sequencing allows the identification of genes involved in disease Reviewed by: Isidro Ferrer, University of Barcelona, processes in an unbiased manner. We have combined this technique with the analysis of Spain two AD mouse models: (1) The 5XFAD model develops early plaque formation, intraneu- Dietmar R. Thal, University of Ulm, ronal Ab aggregation, neuron loss, and behavioral deficits. (2)TheTg4–42 model expresses Germany N-truncated Ab4–42 and develops neuron loss and behavioral deficits albeit without plaque *Correspondence: formation. -
A Concise Review of Human Brain Methylome During Aging and Neurodegenerative Diseases
BMB Rep. 2019; 52(10): 577-588 BMB www.bmbreports.org Reports Invited Mini Review A concise review of human brain methylome during aging and neurodegenerative diseases Renuka Prasad G & Eek-hoon Jho* Department of Life Science, University of Seoul, Seoul 02504, Korea DNA methylation at CpG sites is an essential epigenetic mark position of carbon in the cytosine within CG dinucleotides that regulates gene expression during mammalian development with resultant formation of 5mC. The symmetrical CG and diseases. Methylome refers to the entire set of methylation dinucleotides are also called as CpG, due to the presence of modifications present in the whole genome. Over the last phosphodiester bond between cytosine and guanine. The several years, an increasing number of reports on brain DNA human genome contains short lengths of DNA (∼1,000 bp) in methylome reported the association between aberrant which CpG is commonly located (∼1 per 10 bp) in methylation and the abnormalities in the expression of critical unmethylated form and referred as CpG islands; they genes known to have critical roles during aging and neuro- commonly overlap with the transcription start sites (TSSs) of degenerative diseases. Consequently, the role of methylation genes. In human DNA, 5mC is present in approximately 1.5% in understanding neurodegenerative diseases has been under of the whole genome and CpG base pairs are 5-fold enriched focus. This review outlines the current knowledge of the human in CpG islands than other regions of the genome (3, 4). CpG brain DNA methylomes during aging and neurodegenerative islands have the following salient features. In the human diseases. -
Drosophila STING Protein Has a Role in Lipid Metabolism
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.04.429825; this version posted February 5, 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-NC-ND 4.0 International license. Drosophila STING protein has a role in lipid metabolism. Katarina Akhmetova, Maxim Balasov and Igor Chesnokov*. Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, School of Medicine, 720 20th Street South, Birmingham, Alabama 35294 Running head: The role of dSTING in metabolism. *Corresponding Author. Mailing address: Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, School of Medicine, 720 20th Street South, Birmingham, Alabama 35294. Phone: (205) 934- 6974. Fax: (205) 934-0758. E-mail: [email protected]. bioRxiv preprint doi: https://doi.org/10.1101/2021.02.04.429825; this version posted February 5, 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-NC-ND 4.0 International license. ABSTRACT Stimulator of interferon genes (STING) plays an important role in innate immunity by controlling type I interferon response against invaded pathogens. In this work we describe a direct but previously unknown role of STING in lipid metabolism in Drosophila. Flies with STING deletion are sensitive to starvation and oxidative stress, have reduced lipid storage and downregulated expression of lipid metabolism genes. -
Transdifferentiation of Human Mesenchymal Stem Cells
Transdifferentiation of Human Mesenchymal Stem Cells Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Julius-Maximilians-Universität Würzburg vorgelegt von Tatjana Schilling aus San Miguel de Tucuman, Argentinien Würzburg, 2007 Eingereicht am: Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Martin J. Müller Gutachter: PD Dr. Norbert Schütze Gutachter: Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am: Hiermit erkläre ich ehrenwörtlich, dass ich die vorliegende Dissertation selbstständig angefertigt und keine anderen als die von mir angegebenen Hilfsmittel und Quellen verwendet habe. Des Weiteren erkläre ich, dass diese Arbeit weder in gleicher noch in ähnlicher Form in einem Prüfungsverfahren vorgelegen hat und ich noch keinen Promotionsversuch unternommen habe. Gerbrunn, 4. Mai 2007 Tatjana Schilling Table of contents i Table of contents 1 Summary ........................................................................................................................ 1 1.1 Summary.................................................................................................................... 1 1.2 Zusammenfassung..................................................................................................... 2 2 Introduction.................................................................................................................... 4 2.1 Osteoporosis and the fatty degeneration of the bone marrow..................................... 4 2.2 Adipose and bone -
Proteoglycan Form and Function: a Comprehensive Nomenclature of Proteoglycans
HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Matrix Biol Manuscript Author . Author manuscript; Manuscript Author available in PMC 2016 May 06. Published in final edited form as: Matrix Biol. 2015 March ; 42: 11–55. doi:10.1016/j.matbio.2015.02.003. Proteoglycan form and function: A comprehensive nomenclature of proteoglycans Renato V. Iozzo1 and Liliana Schaefer2 1Department of Pathology, Anatomy and Cell Biology and the Cancer Cell Biology and Signaling Program, Kimmel Cancer Center, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA 19107, USA 2Pharmazentrum Frankfurt/ZAFES, Institut für Allgemeine Pharmakologie und Toxikologie, Klinikum der Goethe-Universität Frankfurt am Main, Frankfurt am Main, Germany Abstract We provide a comprehensive classification of the proteoglycan gene families and respective protein cores. This updated nomenclature is based on three criteria: Cellular and subcellular location, overall gene/protein homology, and the utilization of specific protein modules within their respective protein cores. These three signatures were utilized to design four major classes of proteoglycans with distinct forms and functions: the intracellular, cell-surface, pericellular and extracellular proteoglycans. The proposed nomenclature encompasses forty-three distinct proteoglycan-encoding genes and many alternatively-spliced variants. The biological functions of these four proteoglycan families are critically assessed in development, cancer and angiogenesis, and in various acquired and genetic diseases where their expression is aberrant. Keywords Proteoglycan; Glycosaminoglycan; Cancer growth; Angiogenesis; Growth factor modulation Introduction It has been nearly 20 years since the original publication of a comprehensive classification of proteoglycan gene families [1]. For the most part, these classes have been widely accepted. However, a broad and current taxonomy of the various proteoglycan gene families and their products is not available. -
University of Cincinnati
UNIVERSITY OF CINCINNATI January 3, 2002 I, Arthur M. Barrie, III, hereby submit this as part of the requirements for the degree of: Doctorate of Philosophy (Ph.D.) in: the Graduate Program in Molecular and Developmental Biology It is entitled: " The Role and Regulation of the Anti-Inflammatory Mouse Apolipoprotein J Gene" Approved by: Dr. Bruce Aronow, Ph.D. Dr. John Bissler, M.D. Dr. Robert Colbert, M.D., Ph.D. Dr. Sandra Degen, Ph.D Dr. Jun Ma, Ph.D. THE ROLE AND REGULATION OF THE ANTI-INFLAMMATORY MOUSE APOLIPOPROTEIN J GENE A dissertation submitted to the Division of Research and Advanced Studies of the University of Cincinnati in partial fulfillment of the requirements for the degree of DOCTORATE OF PHILOSOPHY (Ph.D.) in the Graduate Program in Molecular and Developmental Biology of the College of Medicine 2001 by Arthur M. Barrie, III B.S., The Ohio State University, 1995 Committee chair: Dr. Bruce Aronow, Ph.D. Abstract Apolipoprotein J (apoJ) is a secreted protein with chaperone homology found in vertebrates and is induced and deposited in both physiologic and pathologic states. ApoJ is hypothesized to be a novel extracellular heat shock protein. I characterized the stress response regulation of the mouse apoJ gene. Cell culture experiments verified the essential roles of an apoJ promoter heat shock element (HSE) and the heat shock transcription factor 1 (HSF1) in heat shock-dependent apoJ gene activation. My studies identified multiple cooperating cis-elements, including a promoter activator protein-1 (AP-1) binding motif, an intron 1 enhancer, and a downstream silencer, that together conferred the full range of apoJ gene expression. -
Identifying Rare Genetic Variation in Obsessive-Compulsive Disorder
Yale University EliScholar – A Digital Platform for Scholarly Publishing at Yale Yale Medicine Thesis Digital Library School of Medicine January 2020 Identifying Rare Genetic Variation In Obsessive-Compulsive Disorder Sarah Abdallah Follow this and additional works at: https://elischolar.library.yale.edu/ymtdl Recommended Citation Abdallah, Sarah, "Identifying Rare Genetic Variation In Obsessive-Compulsive Disorder" (2020). Yale Medicine Thesis Digital Library. 3876. https://elischolar.library.yale.edu/ymtdl/3876 This Open Access Thesis is brought to you for free and open access by the School of Medicine at EliScholar – A Digital Platform for Scholarly Publishing at Yale. It has been accepted for inclusion in Yale Medicine Thesis Digital Library by an authorized administrator of EliScholar – A Digital Platform for Scholarly Publishing at Yale. For more information, please contact [email protected]. Identifying Rare Genetic Variation in Obsessive-Compulsive Disorder A Thesis Submitted to the Yale University School of Medicine in Partial Fulfillment of the Requirements for the Degree of Doctor of Medicine by Sarah Barbara Abdallah 2020 ABSTRACT IDENTIFYING RARE GENETIC VARIATION IN OBSESSIVE-COMPULSIVE DISORDER Sarah B. Abdallah, Carolina Cappi, Emily Olfson, and Thomas V. Fernandez. Child Study Center, Yale University School of Medicine, New Haven, CT Obsessive-compulsive disorder (OCD) is a neuropsychiatric developmental disorder with known heritability (estimates ranging from 27%-80%) but poorly understood etiology. Current treatments are not fully effective in addressing chronic functional impairments and distress caused by the disorder, providing an impetus to study the genetic basis of OCD in the hopes of identifying new therapeutic targets. We previously demonstrated a significant contribution to OCD risk from likely damaging de novo germline DNA sequence variants, which arise spontaneously in the parental germ cells or zygote instead of being inherited from a parent, and we successfully used these identified variants to implicate new OCD risk genes. -
A Concise Review of Human Brain Methylome During Aging and Neurodegenerative Diseases
BMB Rep. 2019; 52(10): 577-588 BMB www.bmbreports.org Reports Invited Mini Review A concise review of human brain methylome during aging and neurodegenerative diseases Renuka Prasad G & Eek-hoon Jho* Department of Life Science, University of Seoul, Seoul 02504, Korea DNA methylation at CpG sites is an essential epigenetic mark position of carbon in the cytosine within CG dinucleotides that regulates gene expression during mammalian development with resultant formation of 5mC. The symmetrical CG and diseases. Methylome refers to the entire set of methylation dinucleotides are also called as CpG, due to the presence of modifications present in the whole genome. Over the last phosphodiester bond between cytosine and guanine. The several years, an increasing number of reports on brain DNA human genome contains short lengths of DNA (∼1,000 bp) in methylome reported the association between aberrant which CpG is commonly located (∼1 per 10 bp) in methylation and the abnormalities in the expression of critical unmethylated form and referred as CpG islands; they genes known to have critical roles during aging and neuro- commonly overlap with the transcription start sites (TSSs) of degenerative diseases. Consequently, the role of methylation genes. In human DNA, 5mC is present in approximately 1.5% in understanding neurodegenerative diseases has been under of the whole genome and CpG base pairs are 5-fold enriched focus. This review outlines the current knowledge of the human in CpG islands than other regions of the genome (3, 4). CpG brain DNA methylomes during aging and neurodegenerative islands have the following salient features. In the human diseases. -
Supplementary Table 1 Double Treatment Vs Single Treatment
Supplementary table 1 Double treatment vs single treatment Probe ID Symbol Gene name P value Fold change TC0500007292.hg.1 NIM1K NIM1 serine/threonine protein kinase 1.05E-04 5.02 HTA2-neg-47424007_st NA NA 3.44E-03 4.11 HTA2-pos-3475282_st NA NA 3.30E-03 3.24 TC0X00007013.hg.1 MPC1L mitochondrial pyruvate carrier 1-like 5.22E-03 3.21 TC0200010447.hg.1 CASP8 caspase 8, apoptosis-related cysteine peptidase 3.54E-03 2.46 TC0400008390.hg.1 LRIT3 leucine-rich repeat, immunoglobulin-like and transmembrane domains 3 1.86E-03 2.41 TC1700011905.hg.1 DNAH17 dynein, axonemal, heavy chain 17 1.81E-04 2.40 TC0600012064.hg.1 GCM1 glial cells missing homolog 1 (Drosophila) 2.81E-03 2.39 TC0100015789.hg.1 POGZ Transcript Identified by AceView, Entrez Gene ID(s) 23126 3.64E-04 2.38 TC1300010039.hg.1 NEK5 NIMA-related kinase 5 3.39E-03 2.36 TC0900008222.hg.1 STX17 syntaxin 17 1.08E-03 2.29 TC1700012355.hg.1 KRBA2 KRAB-A domain containing 2 5.98E-03 2.28 HTA2-neg-47424044_st NA NA 5.94E-03 2.24 HTA2-neg-47424360_st NA NA 2.12E-03 2.22 TC0800010802.hg.1 C8orf89 chromosome 8 open reading frame 89 6.51E-04 2.20 TC1500010745.hg.1 POLR2M polymerase (RNA) II (DNA directed) polypeptide M 5.19E-03 2.20 TC1500007409.hg.1 GCNT3 glucosaminyl (N-acetyl) transferase 3, mucin type 6.48E-03 2.17 TC2200007132.hg.1 RFPL3 ret finger protein-like 3 5.91E-05 2.17 HTA2-neg-47424024_st NA NA 2.45E-03 2.16 TC0200010474.hg.1 KIAA2012 KIAA2012 5.20E-03 2.16 TC1100007216.hg.1 PRRG4 proline rich Gla (G-carboxyglutamic acid) 4 (transmembrane) 7.43E-03 2.15 TC0400012977.hg.1 SH3D19