Long Non-Coding Rnas in Multiple Myeloma
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Genome-Wide Screen of Otosclerosis in Population Biobanks
medRxiv preprint doi: https://doi.org/10.1101/2020.11.15.20227868; this version posted November 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.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 . 1 Genome-wide Screen of Otosclerosis in 2 Population Biobanks: 18 Loci and Shared 3 Heritability with Skeletal Structure 4 Joel T. Rämö1, Tuomo Kiiskinen1, Juha Karjalainen1,2,3,4, Kristi Krebs5, Mitja Kurki1,2,3,4, Aki S. 5 Havulinna6, Eija Hämäläinen1, Paavo Häppölä1, Heidi Hautakangas1, FinnGen, Konrad J. 6 Karczewski1,2,3,4, Masahiro Kanai1,2,3,4, Reedik Mägi5, Priit Palta1,5, Tõnu Esko5, Andres Metspalu5, 7 Matti Pirinen1,7,8, Samuli Ripatti1,2,7, Lili Milani5, Antti Mäkitie9, Mark J. Daly1,2,3,4,10, and Aarno 8 Palotie1,2,3,4 9 1. Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of 10 Helsinki, Helsinki, Finland 11 2. Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, 12 Massachusetts, USA 13 3. Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, 14 USA 15 4. Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA 16 5. Estonian Genome Center, University of Tartu, Tartu, Estonia, Institute of Molecular and Cell Biology, 17 University of Tartu, Tartu, Estonia 18 6. Finnish Institute for Health and Welfare, Helsinki, Finland 19 7. Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland 20 8. -
Snps) Distant from Xenobiotic Response Elements Can Modulate Aryl Hydrocarbon Receptor Function: SNP-Dependent CYP1A1 Induction S
Supplemental material to this article can be found at: http://dmd.aspetjournals.org/content/suppl/2018/07/06/dmd.118.082164.DC1 1521-009X/46/9/1372–1381$35.00 https://doi.org/10.1124/dmd.118.082164 DRUG METABOLISM AND DISPOSITION Drug Metab Dispos 46:1372–1381, September 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Single Nucleotide Polymorphisms (SNPs) Distant from Xenobiotic Response Elements Can Modulate Aryl Hydrocarbon Receptor Function: SNP-Dependent CYP1A1 Induction s Duan Liu, Sisi Qin, Balmiki Ray,1 Krishna R. Kalari, Liewei Wang, and Richard M. Weinshilboum Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics (D.L., S.Q., B.R., L.W., R.M.W.) and Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.K.), Mayo Clinic, Rochester, Minnesota Received April 22, 2018; accepted June 28, 2018 ABSTRACT Downloaded from CYP1A1 expression can be upregulated by the ligand-activated aryl fashion. LCLs with the AA genotype displayed significantly higher hydrocarbon receptor (AHR). Based on prior observations with AHR-XRE binding and CYP1A1 mRNA expression after 3MC estrogen receptors and estrogen response elements, we tested treatment than did those with the GG genotype. Electrophoretic the hypothesis that single-nucleotide polymorphisms (SNPs) map- mobility shift assay (EMSA) showed that oligonucleotides with the ping hundreds of base pairs (bp) from xenobiotic response elements AA genotype displayed higher LCL nuclear extract binding after (XREs) might influence AHR binding and subsequent gene expres- 3MC treatment than did those with the GG genotype, and mass dmd.aspetjournals.org sion. -
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, -
Análise Integrativa De Perfis Transcricionais De Pacientes Com
UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. -
Investigating the Molecular Mechanisms of Splicing-Perturbing Small Molecules with Massively Parallel Sequencing in a Myotonic Dystrophy 1 Model
INVESTIGATING THE MOLECULAR MECHANISMS OF SPLICING-PERTURBING SMALL MOLECULES WITH MASSIVELY PARALLEL SEQUENCING IN A MYOTONIC DYSTROPHY 1 MODEL by MATTHEW TANNER A THESIS Presented to the Department of Chemistry and Biochemistry and the Robert D. Clark Honors College in partial fulfillment of the requirements for the degree of Bachelor of Science June, 2014 An Abstract of the Thesis of Matthew Tanner for the degree of Bachelor of Science in the Department of Chemistry and Biochemistry to be taken June, 2014 Title: Investigating the Molecular Mechanisms of Splicing-Perturbing Small Molecules with Massively Parallel Sequencing in a Myotonic Dystrophy 1 Model Approved: 4 fhh 73cJ-i J. Andrew Berglund Myotonic dystrophy is the most common form of adult-onset muscular dystrophy and appears in two forms: myotonic dystrophy 1 (OM 1) and 2 (DM2). Both diseases arc characterized by progressive muscle degeneration, myotonia. iridescent cataracts, and in severe cases neurodcgcncration and cardiac dysfunction. Both fonns of myotonic dystrophy arc caused by an expansion of repeat DNA in distinct loci in the genome. In DM 1, a CTG repeat is expanded from less than 50 repeats in nonnal individuals to up to several thousand repeats in DM 1 patients. The molecular basis of this disease relics on the transcription of these repeats from DNA into RNA. Small molecules that can specifically target the repeats at the DNA level and inhibit their transcription - and thus alleviate the disease symptoms - represent a prime target for the development of therapeutics. This study investigates the capacity of two small molecules, pentamidine and actinomycin D, to reverse the molecular symptoms of DM I through transcriptional inhibition and provides insight into their DNA target specificity and potential mechanisms of action. -
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 -
Gene Regulation Underlies Environmental Adaptation in House Mice
Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Research Gene regulation underlies environmental adaptation in house mice Katya L. Mack,1 Mallory A. Ballinger,1 Megan Phifer-Rixey,2 and Michael W. Nachman1 1Department of Integrative Biology and Museum of Vertebrate Zoology, University of California, Berkeley, California 94720, USA; 2Department of Biology, Monmouth University, West Long Branch, New Jersey 07764, USA Changes in cis-regulatory regions are thought to play a major role in the genetic basis of adaptation. However, few studies have linked cis-regulatory variation with adaptation in natural populations. Here, using a combination of exome and RNA- seq data, we performed expression quantitative trait locus (eQTL) mapping and allele-specific expression analyses to study the genetic architecture of regulatory variation in wild house mice (Mus musculus domesticus) using individuals from five pop- ulations collected along a latitudinal cline in eastern North America. Mice in this transect showed clinal patterns of variation in several traits, including body mass. Mice were larger in more northern latitudes, in accordance with Bergmann’s rule. We identified 17 genes where cis-eQTLs were clinal outliers and for which expression level was correlated with latitude. Among these clinal outliers, we identified two genes (Adam17 and Bcat2) with cis-eQTLs that were associated with adaptive body mass variation and for which expression is correlated with body mass both within and between populations. Finally, we per- formed a weighted gene co-expression network analysis (WGCNA) to identify expression modules associated with measures of body size variation in these mice. -
Many Lncrnas, 5'Utrs, and Pseudogenes Are Translated
RESEARCH ARTICLE Many lncRNAs, 5’UTRs, and pseudogenes are translated and some are likely to express functional proteins Zhe Ji1,2†, Ruisheng Song1†, Aviv Regev2,3, Kevin Struhl1* 1Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, United States; 2Broad Institute of MIT and Harvard, Cambridge, United States; 3Department of Biology, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, United States Abstract Using a new bioinformatic method to analyze ribosome profiling data, we show that 40% of lncRNAs and pseudogene RNAs expressed in human cells are translated. In addition, ~35% of mRNA coding genes are translated upstream of the primary protein-coding region (uORFs) and 4% are translated downstream (dORFs). Translated lncRNAs preferentially localize in the cytoplasm, whereas untranslated lncRNAs preferentially localize in the nucleus. The translation efficiency of cytoplasmic lncRNAs is nearly comparable to that of mRNAs, suggesting that cytoplasmic lncRNAs are engaged by the ribosome and translated. While most peptides generated from lncRNAs may be highly unstable byproducts without function, ~9% of the peptides are conserved in ORFs in mouse transcripts, as are 74% of pseudogene peptides, 24% of uORF peptides and 32% of dORF peptides. Analyses of synonymous and nonsynonymous substitution rates of these conserved peptides show that some are under stabilizing selection, suggesting potential functional importance. DOI: 10.7554/eLife.08890.001 *For correspondence: kevin@ hms.harvard.edu †These authors contributed Introduction equally to this work In the central dogma, mRNAs are translated into proteins that carry out biological functions. On a Competing interest: See genomic scale, translated regions are identified as open reading frames (ORFs) that are longer (typi- page 18 cally >100 amino acids) than expected by chance, given sequence composition. -
Antisense Oligonucleotide-Based Therapeutic Against Menin for Triple-Negative Breast Cancer Treatment
biomedicines Article Antisense Oligonucleotide-Based Therapeutic against Menin for Triple-Negative Breast Cancer Treatment Dang Tan Nguyen 1,†, Thi Khanh Le 1,2,† , Clément Paris 1,†, Chaïma Cherif 1 , Stéphane Audebert 3 , Sandra Oluchi Udu-Ituma 1,Sébastien Benizri 4 , Philippe Barthélémy 4 , François Bertucci 1, David Taïeb 1,5 and Palma Rocchi 1,* 1 Predictive Oncology Laboratory, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm UMR 1068, CNRS UMR 7258, Institut Paoli-Calmettes, Aix-Marseille University, 27 Bd. Leï Roure, 13273 Marseille, France; [email protected] (D.T.N.); [email protected] (T.K.L.); [email protected] (C.P.); [email protected] (C.C.); [email protected] (S.O.U.-I.); [email protected] (F.B.); [email protected] (D.T.) 2 Department of Life Science, University of Science and Technology of Hanoi (USTH), Hanoi 000084, Vietnam 3 Marseille Protéomique, Centre de Recherche en Cancérologie de Marseille, INSERM, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France; [email protected] 4 ARNA Laboratory, INSERM U1212, CNRS UMR 5320, University of Bordeaux, 33076 Bordeaux, France; [email protected] (S.B.); [email protected] (P.B.) 5 Biophysics and Nuclear Medicine Department, La Timone University Hospital, European Center for Research in Medical Imaging, Aix-Marseille University, 13005 Marseille, France * Correspondence: [email protected]; Tel.: +33-626-941-287 † These authors contributed equally. Citation: Nguyen, D.T.; Le, T.K.; Paris, C.; Cherif, C.; Audebert, S.; Abstract: The tumor suppressor menin has dual functions, acting either as a tumor suppressor or Oluchi Udu-Ituma, S.; Benizri, S.; as an oncogene/oncoprotein, depending on the oncological context. -
Functional Interpretation of Gene Lists
Functional interpretation of gene lists Bing Zhang Department of Biomedical Informatics Vanderbilt University [email protected] Microarray data analysis workflow log2(ratio) 92546_r_at 92545_f_at 96055_at 102105_f_at 102700_at -log10(p value) 161361_s_at Microarray data Differential 92202_g_at expression 103548_at 100947_at 101869_s_at 102727_at 160708_at …... Normalization Clustering Lists of genes with potential biological interest 2 Applied Bioinformatics, Spring 2013 Omics studies generate gene/protein lists n Genomics q Genome Wide Association Study (GWAS) q Next generation sequencing (NGS) n Transcriptomics q mRNA profiling ……….. n Microarrays ……….. ……….. n Serial analysis of gene expression (SAGE) ……….. n RNA-Seq ………. q Protein-DNA interaction ………. n Chromatin immunoprecipitation ………. n Proteomics ………. ……… q Protein profiling n LC-MS/MS ……… ……… q Protein-protein interaction n Yeast two hybrid n Affinity pull-down/LC-MS/MS 3 Applied Bioinformatics, Spring 2013 Microarray experiment comparing metastatic and non- metastatic colon cancer cell lines Parental cell line Affymetrix RNA Mouse430_2 Metastatic cell line Smith et al., Gastroenterology, 138:958-968, 2010 4 Applied Bioinformatics, Spring 2013 Data matrix and differential expression analysis 863 significant probe set IDs (adjp<0.01 and fold-change>2), out of 45,101 probe sets *because the data are log2 based, fold-change>2 means abs(logFC)>1 5 Applied Bioinformatics, Spring 2013 Understanding a gene list n Level I 1451263_a_at 1436486_x_at q What are the genes behind the IDs and 1451780_at what do we know about the function of the 1438237_at 1417023_a_at genes? 1441054_at 1416203_at 1416295_a_at 1435012_x_at 1416069_at 1436485_s_at 1438148_at 1452740_at 1422184_a_at …… 6 Applied Bioinformatics, Spring 2013 One-gene-at-a-time information systems 7 Applied Bioinformatics, Spring 2013 Biomart: a batch information retrieval system n In contrast to the “one-gene-at-a-time” systems, e.g. -
Transcriptional Landscape of Pulmonary Lymphatic Endothelial Cells During Fetal Gestation
RESEARCH ARTICLE Transcriptional landscape of pulmonary lymphatic endothelial cells during fetal gestation 1,2 3 1 1,4 Timothy A. Norman, Jr.ID *, Adam C. Gower , Felicia Chen , Alan Fine 1 Pulmonary Center, Boston University School of Medicine, Boston, Massachusetts, United States of America, 2 Pathology & Laboratory Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America, 3 Clinical and Translational Science Institute, Boston University School of Medicine, Boston, Massachusetts, United States of America, 4 Boston Veteran's Hospital, West Roxbury, a1111111111 Massachusetts, United States of America a1111111111 a1111111111 * [email protected] a1111111111 a1111111111 Abstract The genetic programs responsible for pulmonary lymphatic maturation prior to birth are not known. To address this gap in knowledge, we developed a novel cell sorting strategy to col- OPEN ACCESS lect fetal pulmonary lymphatic endothelial cells (PLECs) for global transcriptional profiling. Citation: Norman TA, Jr., Gower AC, Chen F, Fine A We identified PLECs based on their unique cell surface immunophenotype (CD31+/Vegfr3 (2019) Transcriptional landscape of pulmonary lymphatic endothelial cells during fetal gestation. +/Lyve1+/Pdpn+) and isolated them from murine lungs during late gestation (E16.5, E17.5, PLoS ONE 14(5): e0216795. https://doi.org/ E18.5). Gene expression profiling was performed using whole-genome microarrays, and 10.1371/journal.pone.0216795 1,281 genes were significantly differentially expressed with respect to time (FDR q < 0.05) Editor: Vladimir V. Kalinichenko, Cincinnati and grouped into six clusters. Two clusters containing a total of 493 genes strongly upregu- Children's Hospital Medical Center, UNITED lated at E18.5 were significantly enriched in genes with functional annotations correspond- STATES ing to innate immune response, positive regulation of angiogenesis, complement & Received: October 19, 2018 coagulation cascade, ECM/cell-adhesion, and lipid metabolism. -
Variation in Protein Coding Genes Identifies Information Flow
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number.