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The Interactome of KRAB Zinc Finger Proteins Reveals the Evolutionary History of Their Functional Diversification
Resource The interactome of KRAB zinc finger proteins reveals the evolutionary history of their functional diversification Pierre-Yves Helleboid1,†, Moritz Heusel2,†, Julien Duc1, Cécile Piot1, Christian W Thorball1, Andrea Coluccio1, Julien Pontis1, Michaël Imbeault1, Priscilla Turelli1, Ruedi Aebersold2,3,* & Didier Trono1,** Abstract years ago (MYA) (Imbeault et al, 2017). Their products harbor an N-terminal KRAB (Kru¨ppel-associated box) domain related to that of Krüppel-associated box (KRAB)-containing zinc finger proteins Meisetz (a.k.a. PRDM9), a protein that originated prior to the diver- (KZFPs) are encoded in the hundreds by the genomes of higher gence of chordates and echinoderms, and a C-terminal array of zinc vertebrates, and many act with the heterochromatin-inducing fingers (ZNF) with sequence-specific DNA-binding potential (Urru- KAP1 as repressors of transposable elements (TEs) during early tia, 2003; Birtle & Ponting, 2006; Imbeault et al, 2017). KZFP genes embryogenesis. Yet, their widespread expression in adult tissues multiplied by gene and segment duplication to count today more and enrichment at other genetic loci indicate additional roles. than 350 and 700 representatives in the human and mouse Here, we characterized the protein interactome of 101 of the ~350 genomes, respectively (Urrutia, 2003; Kauzlaric et al, 2017). A human KZFPs. Consistent with their targeting of TEs, most KZFPs majority of human KZFPs including all primate-restricted family conserved up to placental mammals essentially recruit KAP1 and members target sequences derived from TEs, that is, DNA trans- associated effectors. In contrast, a subset of more ancient KZFPs posons, ERVs (endogenous retroviruses), LINEs, SINEs (long and rather interacts with factors related to functions such as genome short interspersed nuclear elements, respectively), or SVAs (SINE- architecture or RNA processing. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Role of the PTPRD Locus and Limited Pleiotropy with Other Neuropathologies
CORE Metadata, citation and similar papers at core.ac.uk Provided by Harvard University - DASH Susceptibility to neurofibrillary tangles: role of the PTPRD locus and limited pleiotropy with other neuropathologies The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Chibnik, L. B., C. C. White, S. Mukherjee, T. Raj, L. Yu, E. B. Larson, T. J. Montine, et al. 2017. “Susceptibility to neurofibrillary tangles: role of the PTPRD locus and limited pleiotropy with other neuropathologies.” Molecular psychiatry :10.1038/mp.2017.20. doi:10.1038/mp.2017.20. http://dx.doi.org/10.1038/mp.2017.20. Published Version doi:10.1038/mp.2017.20 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:34492045 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Mol Psychiatry Manuscript Author . Author Manuscript Author manuscript; available in PMC 2017 September 22. Susceptibility to neurofibrillary tangles: role of the PTPRD locus and limited pleiotropy with other neuropathologies Lori B Chibnik, PhD, MPH1,2,3,4, Charles C White, PhD1,3, Shubhabrata Mukherjee, PhD5, Towfique Raj, PhD1,3, Lei Yu, PhD6, Eric B. Larson, MD, MPH7, Thomas J. Montine, MD, PhD8, C. Dirk Keene, MD, PhD8, Joshua Sonnen, MD9, Julie A. Schneider, MD6, Paul K. Crane, MD, MPH5, Joshua M. -
Genetic Interactions Between ANLN and KDR Are Prognostic for Breast Cancer Survival
ONCOLOGY REPORTS 42: 2255-2266, 2019 Genetic interactions between ANLN and KDR are prognostic for breast cancer survival XIAOFENG DAI1*, XIAO CHEN2*, OLIVIER HAKIZIMANA2 and YI MEI2 1Wuxi School of Medicine, 2School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, P.R. China Received April 3, 2019; Accepted August 7, 2019 DOI: 10.3892/or.2019.7332 Abstract. Single nucleotide polymorphisms (SNPs) are the of ~627,000 annually estimated in 2018 (2). Uncontrolled most common genetic variation in mammalian cells with proliferative growth and angiogenesis are two basic cancer prognostic potential. Anillin-actin binding protein (ANLN) hallmarks governing the critical transitions towards malig- has been identified as being involved in PI3K/PTEN signaling, nancy during carcinogenesis (3). PI3K/PTEN signaling, which is critical in cell life/death control, and kinase insert frequently altered in breast carcinoma (4), confers a survival domain receptor (KDR) encodes a key receptor mediating advantage to tumor cells (5). Anillin, encoded by anillin the cancer angiogenesis/metastasis switch. Knowledge of actin-binding protein (ANLN), is an actin-binding protein, the intrinsic connections between PI3K/PTEN and KDR which has been identified as being involved in the PI3K/PTEN signaling, which represent two critical transitions in carcino- pathway (6,7). It is an F‑actin binding protein, which maintains genesis, led the present study to investigate the effects of the podocyte cytoskeletal dynamics, cell motility and signaling potential synergy between ANLN and KDR on breast cancer through its interaction with CD2-associated protein, which outcome and identify relevant SNPs driving such a synergy stimulates the phosphorylation of AKT at serine 473 (6,8). -
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. -
Early Growth Response 1 Regulates Hematopoietic Support and Proliferation in Human Primary Bone Marrow Stromal Cells
Hematopoiesis SUPPLEMENTARY APPENDIX Early growth response 1 regulates hematopoietic support and proliferation in human primary bone marrow stromal cells Hongzhe Li, 1,2 Hooi-Ching Lim, 1,2 Dimitra Zacharaki, 1,2 Xiaojie Xian, 2,3 Keane J.G. Kenswil, 4 Sandro Bräunig, 1,2 Marc H.G.P. Raaijmakers, 4 Niels-Bjarne Woods, 2,3 Jenny Hansson, 1,2 and Stefan Scheding 1,2,5 1Division of Molecular Hematology, Department of Laboratory Medicine, Lund University, Lund, Sweden; 2Lund Stem Cell Center, Depart - ment of Laboratory Medicine, Lund University, Lund, Sweden; 3Division of Molecular Medicine and Gene Therapy, Department of Labora - tory Medicine, Lund University, Lund, Sweden; 4Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands and 5Department of Hematology, Skåne University Hospital Lund, Skåne, Sweden ©2020 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2019.216648 Received: January 14, 2019. Accepted: July 19, 2019. Pre-published: August 1, 2019. Correspondence: STEFAN SCHEDING - [email protected] Li et al.: Supplemental data 1. Supplemental Materials and Methods BM-MNC isolation Bone marrow mononuclear cells (BM-MNC) from BM aspiration samples were isolated by density gradient centrifugation (LSM 1077 Lymphocyte, PAA, Pasching, Austria) either with or without prior incubation with RosetteSep Human Mesenchymal Stem Cell Enrichment Cocktail (STEMCELL Technologies, Vancouver, Canada) for lineage depletion (CD3, CD14, CD19, CD38, CD66b, glycophorin A). BM-MNCs from fetal long bones and adult hip bones were isolated as reported previously 1 by gently crushing bones (femora, tibiae, fibulae, humeri, radii and ulna) in PBS+0.5% FCS subsequent passing of the cell suspension through a 40-µm filter. -
Research Article Clinic-Genomic Association Mining for Colorectal Cancer Using Publicly Available Datasets
Hindawi Publishing Corporation BioMed Research International Volume 2014, Article ID 170289, 10 pages http://dx.doi.org/10.1155/2014/170289 Research Article Clinic-Genomic Association Mining for Colorectal Cancer Using Publicly Available Datasets Fang Liu,1 Yaning Feng,1 Zhenye Li,2 Chao Pan,1 Yuncong Su,1 Rui Yang,1 Liying Song,1 Huilong Duan,1 and Ning Deng1 1 Department of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, China 2 General Hospital of Ningxia Medical University, Yinchuan 750004, China Correspondence should be addressed to Ning Deng; [email protected] Received 30 March 2014; Accepted 12 May 2014; Published 2 June 2014 Academic Editor: Degui Zhi Copyright © 2014 Fang Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In recent years, a growing number of researchers began to focus on how to establish associations between clinical and genomic data. However, up to now, there is lack of research mining clinic-genomic associations by comprehensively analysing available gene expression data for a single disease. Colorectal cancer is one of the malignant tumours. A number of genetic syndromes have been proven to be associated with colorectal cancer. This paper presents our research on mining clinic-genomic associations for colorectal cancer under biomedical big data environment. The proposed method is engineered with multiple technologies, including extracting clinical concepts using the unified medical language system (UMLS), extracting genes through the literature mining, and mining clinic-genomic associations through statistical analysis. -
Region Based Gene Expression Via Reanalysis of Publicly Available Microarray Data Sets
University of Louisville ThinkIR: The University of Louisville's Institutional Repository Electronic Theses and Dissertations 5-2018 Region based gene expression via reanalysis of publicly available microarray data sets. Ernur Saka University of Louisville Follow this and additional works at: https://ir.library.louisville.edu/etd Part of the Bioinformatics Commons, Computational Biology Commons, and the Other Computer Sciences Commons Recommended Citation Saka, Ernur, "Region based gene expression via reanalysis of publicly available microarray data sets." (2018). Electronic Theses and Dissertations. Paper 2902. https://doi.org/10.18297/etd/2902 This Doctoral Dissertation is brought to you for free and open access by ThinkIR: The University of Louisville's Institutional Repository. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of ThinkIR: The University of Louisville's Institutional Repository. This title appears here courtesy of the author, who has retained all other copyrights. For more information, please contact [email protected]. REGION BASED GENE EXPRESSION VIA REANALYSIS OF PUBLICLY AVAILABLE MICROARRAY DATA SETS By Ernur Saka B.S. (CEng), University of Dokuz Eylul, Turkey, 2008 M.S., University of Louisville, USA, 2011 A Dissertation Submitted To the J. B. Speed School of Engineering in Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Computer Science and Engineering Department of Computer Engineering and Computer Science University of Louisville Louisville, Kentucky May 2018 Copyright 2018 by Ernur Saka All rights reserved REGION BASED GENE EXPRESSION VIA REANALYSIS OF PUBLICLY AVAILABLE MICROARRAY DATA SETS By Ernur Saka B.S. (CEng), University of Dokuz Eylul, Turkey, 2008 M.S., University of Louisville, USA, 2011 A Dissertation Approved On April 20, 2018 by the following Committee __________________________________ Dissertation Director Dr. -
Immunomic Analysis of Human Renal Cell Carcinoma
Immunomic analysis of human renal cell carcinoma Zur Erlangung des akademischen Grades eines DOKTORS DER NATURWISSENSCHAFTEN (Dr. rer. nat.) der Fakultät für Chemie und Biowissenschaften der Universität Karlsruhe (TH) vorgelegte DISSERTATION von Gerard Devitt aus Cork, Irland Dekan: Prof. Dr. Manfred Kappes Referent: Prof. Dr. Margot Zöller Korreferent: Prof. Dr. Jonathan Sleeman Tag der mündlichen Prüfung: 19th July 2004 For James, Roseanne, Niall, Owen and Nadia Zusammenfassung - 3 – Das Nierenzellkarzinom ist der am häufigsten in den Nieren vorkommende Tumor. Er macht bis zu 3% aller malignen Erkrankungen bei Erwachsenen aus. Die Zahl der Nierenzellkarzinompatienten steigt jährlich. Bisher gibt es keine international standardisierte Therapie für das metastasierende Nierenzellkarzinom und die vollständige Entfernung der betroffenen Niere ist zur Zeit die einzige Behandlungsmöglichkeit. Das Nierenzellkarzinom ist sehr resistent gegen Bestrahlung und Chemotherapie, zeigt aber in manchen Untersuchungen eine spontane Regression, die auf Immunogenität des Tumors schließen lässt. Die Identifikation von nierenzellkarzinomassoziierten immunogenen Molekülen ist daher wichtig, um 1.) die grundlegenden Mechanismen der Immunogenität des Nierenzellkarzinoms zu verstehen, 2.) für mögliche neue Ansätze in Diagnose, Prognose und Therapie. In dieser Arbeit wurden drei Techniken eingesetzt, um nierenzellkarzinomassoziierte Gene und Antigene zu erkennen: 1) Suppression substractive hybridization (SSH), 2) Serological analysis of recombinant cDNA expression -
The DNA Sequence and Comparative Analysis of Human Chromosome 20
articles The DNA sequence and comparative analysis of human chromosome 20 P. Deloukas, L. H. Matthews, J. Ashurst, J. Burton, J. G. R. Gilbert, M. Jones, G. Stavrides, J. P. Almeida, A. K. Babbage, C. L. Bagguley, J. Bailey, K. F. Barlow, K. N. Bates, L. M. Beard, D. M. Beare, O. P. Beasley, C. P. Bird, S. E. Blakey, A. M. Bridgeman, A. J. Brown, D. Buck, W. Burrill, A. P. Butler, C. Carder, N. P. Carter, J. C. Chapman, M. Clamp, G. Clark, L. N. Clark, S. Y. Clark, C. M. Clee, S. Clegg, V. E. Cobley, R. E. Collier, R. Connor, N. R. Corby, A. Coulson, G. J. Coville, R. Deadman, P. Dhami, M. Dunn, A. G. Ellington, J. A. Frankland, A. Fraser, L. French, P. Garner, D. V. Grafham, C. Grif®ths, M. N. D. Grif®ths, R. Gwilliam, R. E. Hall, S. Hammond, J. L. Harley, P. D. Heath, S. Ho, J. L. Holden, P. J. Howden, E. Huckle, A. R. Hunt, S. E. Hunt, K. Jekosch, C. M. Johnson, D. Johnson, M. P. Kay, A. M. Kimberley, A. King, A. Knights, G. K. Laird, S. Lawlor, M. H. Lehvaslaiho, M. Leversha, C. Lloyd, D. M. Lloyd, J. D. Lovell, V. L. Marsh, S. L. Martin, L. J. McConnachie, K. McLay, A. A. McMurray, S. Milne, D. Mistry, M. J. F. Moore, J. C. Mullikin, T. Nickerson, K. Oliver, A. Parker, R. Patel, T. A. V. Pearce, A. I. Peck, B. J. C. T. Phillimore, S. R. Prathalingam, R. W. Plumb, H. Ramsay, C. M. -
Evolutionary Analysis of Viral Sequences in Eukaryotic Genomes
Evolutionary analysis of viral sequences in eukaryotic genomes Sean Schneider A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2014 Reading Committee: James H. Thomas, Chair Willie Swanson Phil Green Program Authorized to Offer Degree: Genome Sciences ©Copyright 2014 Sean Schneider University of Washington Abstract Evolutionary analysis of viral sequences in eukaryotic genomes Sean Schneider Chair of the supervisory committee: Professor James H. Thomas Genome Sciences The focus of this work is several evolutionary analyses of endogenous viral sequences in eukaryotic genomes. Endogenous viral sequences can provide key insights into the past forms and evolutionary history of viruses, as well as the responses of host organisms they infect. In this work I have examined viral sequences in a diverse assortment of eukaryotic hosts in order to study coevolution between hosts and the organisms that infect them. This research consisted of two major lines of investigation. In the first portion of this work, I outline the hypothesis that the C2H2 zinc finger gene family in vertebrates has evolved by birth-death evolution in response to sporadic retroviral infection. The hypothesis suggests an evolutionary model in which newly duplicated zinc finger genes are retained by selection in response to retroviral infection. This hypothesis is supported by a strong association (R2=0.67) between the number of endogenous retroviruses and the number of zinc fingers in diverse vertebrate genomes. Based on this and other evidence, the zinc finger gene family appears to act as a “genomic immune system” against retroviral infections. The other major line of investigation in this work examines endogenous virus sequences utilized by parasitic wasps to disable hosts that they infect. -
Genome-Wide Identification of Splicing Qtls in the Human Brain and Their
ARTICLE Received 25 Aug 2016 | Accepted 6 Jan 2017 | Published 27 Feb 2017 DOI: 10.1038/ncomms14519 OPEN Genome-wide identification of splicing QTLs in the human brain and their enrichment among schizophrenia-associated loci Atsushi Takata1,2, Naomichi Matsumoto2 & Tadafumi Kato1 Detailed analyses of transcriptome have revealed complexity in regulation of alternative splicing (AS). These AS events often undergo modulation by genetic variants. Here we analyse RNA-sequencing data of prefrontal cortex from 206 individuals in combination with their genotypes and identify cis-acting splicing quantitative trait loci (sQTLs) throughout the genome. These sQTLs are enriched among exonic and H3K4me3-marked regions. Moreover, we observe significant enrichment of sQTLs among disease-associated loci identified by GWAS, especially in schizophrenia risk loci. Closer examination of each schizophrenia- associated loci revealed four regions (each encompasses NEK4, FXR1, SNAP91 or APOPT1), where the index SNP in GWAS is in strong linkage disequilibrium with sQTL SNP(s), sug- gesting dysregulation of AS as the underlying mechanism of the association signal. Our study provides an informative resource of sQTL SNPs in the human brain, which can facilitate understanding of the genetic architecture of complex brain disorders such as schizophrenia. 1 Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan. 2 Department of Human Genetics, Yokohama City University Graduate School of Medicine,