Large Palindromes on the Primate X Chromosome Are Preserved by Natural Selection
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Genome Analysis and Knowledge
Dahary et al. BMC Medical Genomics (2019) 12:200 https://doi.org/10.1186/s12920-019-0647-8 SOFTWARE Open Access Genome analysis and knowledge-driven variant interpretation with TGex Dvir Dahary1*, Yaron Golan1, Yaron Mazor1, Ofer Zelig1, Ruth Barshir2, Michal Twik2, Tsippi Iny Stein2, Guy Rosner3,4, Revital Kariv3,4, Fei Chen5, Qiang Zhang5, Yiping Shen5,6,7, Marilyn Safran2, Doron Lancet2* and Simon Fishilevich2* Abstract Background: The clinical genetics revolution ushers in great opportunities, accompanied by significant challenges. The fundamental mission in clinical genetics is to analyze genomes, and to identify the most relevant genetic variations underlying a patient’s phenotypes and symptoms. The adoption of Whole Genome Sequencing requires novel capacities for interpretation of non-coding variants. Results: We present TGex, the Translational Genomics expert, a novel genome variation analysis and interpretation platform, with remarkable exome analysis capacities and a pioneering approach of non-coding variants interpretation. TGex’s main strength is combining state-of-the-art variant filtering with knowledge-driven analysis made possible by VarElect, our highly effective gene-phenotype interpretation tool. VarElect leverages the widely used GeneCards knowledgebase, which integrates information from > 150 automatically-mined data sources. Access to such a comprehensive data compendium also facilitates TGex’s broad variant annotation, supporting evidence exploration, and decision making. TGex has an interactive, user-friendly, and easy adaptive interface, ACMG compliance, and an automated reporting system. Beyond comprehensive whole exome sequence capabilities, TGex encompasses innovative non-coding variants interpretation, towards the goal of maximal exploitation of whole genome sequence analyses in the clinical genetics practice. This is enabled by GeneCards’ recently developed GeneHancer, a novel integrative and fully annotated database of human enhancers and promoters. -
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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
Role of RUNX1 in Aberrant Retinal Angiogenesis Jonathan D
Page 1 of 25 Diabetes Identification of RUNX1 as a mediator of aberrant retinal angiogenesis Short Title: Role of RUNX1 in aberrant retinal angiogenesis Jonathan D. Lam,†1 Daniel J. Oh,†1 Lindsay L. Wong,1 Dhanesh Amarnani,1 Cindy Park- Windhol,1 Angie V. Sanchez,1 Jonathan Cardona-Velez,1,2 Declan McGuone,3 Anat O. Stemmer- Rachamimov,3 Dean Eliott,4 Diane R. Bielenberg,5 Tave van Zyl,4 Lishuang Shen,1 Xiaowu Gai,6 Patricia A. D’Amore*,1,7 Leo A. Kim*,1,4 Joseph F. Arboleda-Velasquez*1 Author affiliations: 1Schepens Eye Research Institute/Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, 20 Staniford St., Boston, MA 02114 2Universidad Pontificia Bolivariana, Medellin, Colombia, #68- a, Cq. 1 #68305, Medellín, Antioquia, Colombia 3C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114 4Retina Service, Massachusetts Eye and Ear Infirmary, Department of Ophthalmology, Harvard Medical School, 243 Charles St., Boston, MA 02114 5Vascular Biology Program, Boston Children’s Hospital, Department of Surgery, Harvard Medical School, 300 Longwood Ave., Boston, MA 02115 6Center for Personalized Medicine, Children’s Hospital Los Angeles, Los Angeles, 4650 Sunset Blvd, Los Angeles, CA 90027, USA 7Department of Pathology, Harvard Medical School, 25 Shattuck St., Boston, MA 02115 Corresponding authors: Joseph F. Arboleda-Velasquez: [email protected] Ph: (617) 912-2517 Leo Kim: [email protected] Ph: (617) 912-2562 Patricia D’Amore: [email protected] Ph: (617) 912-2559 Fax: (617) 912-0128 20 Staniford St. Boston MA, 02114 † These authors contributed equally to this manuscript Word Count: 1905 Tables and Figures: 4 Diabetes Publish Ahead of Print, published online April 11, 2017 Diabetes Page 2 of 25 Abstract Proliferative diabetic retinopathy (PDR) is a common cause of blindness in the developed world’s working adult population, and affects those with type 1 and type 2 diabetes mellitus. -
An Integrated Genomic Analysis of Gene-Function Correlation on Schizophrenia Susceptibility Genes
Journal of Human Genetics (2010) 55, 285–292 & 2010 The Japan Society of Human Genetics All rights reserved 1434-5161/10 $32.00 www.nature.com/jhg ORIGINAL ARTICLE An integrated genomic analysis of gene-function correlation on schizophrenia susceptibility genes Tearina T Chu and Ying Liu Schizophrenia is a highly complex inheritable disease characterized by numerous genetic susceptibility elements, each contributing a modest increase in risk for the disease. Although numerous linkage or association studies have identified a large set of schizophrenia-associated loci, many are controversial. In addition, only a small portion of these loci overlaps with the large cumulative pool of genes that have shown changes of expression in schizophrenia. Here, we applied a genomic gene-function approach to identify susceptibility loci that show direct effect on gene expression, leading to functional abnormalities in schizophrenia. We carried out an integrated analysis by cross-examination of the literature-based susceptibility loci with the schizophrenia-associated expression gene list obtained from our previous microarray study (Journal of Human Genetics (2009) 54: 665–75) using bioinformatic tools, followed by confirmation of gene expression changes using qPCR. We found nine genes (CHGB, SLC18A2, SLC25A27, ESD, C4A/C4B, TCP1, CHL1 and CTNNA2) demonstrate gene-function correlation involving: synapse and neurotransmission; energy metabolism and defense mechanisms; and molecular chaperone and cytoskeleton. Our findings further support the roles of these genes in genetic influence and functional consequences on the development of schizophrenia. It is interesting to note that four of the nine genes are located on chromosome 6, suggesting a special chromosomal vulnerability in schizophrenia. -
The Mouse Genome Database: Integration of and Access to Knowledge About the Laboratory Mouse Judith A
D810–D817 Nucleic Acids Research, 2014, Vol. 42, Database issue Published online 26 November 2013 doi:10.1093/nar/gkt1225 The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse Judith A. Blake*, Carol J. Bult, Janan T. Eppig, James A. Kadin and Joel E. Richardson The Mouse Genome Database Groupy Bioinformatics and Computational Biology, The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA Received October 1, 2013; Revised November 4, 2013; Accepted November 5, 2013 ABSTRACT genes and as a comprehensive data integration site and repository for mouse genetic, genomic and phenotypic The Mouse Genome Database (MGD) (http://www. data derived from primary literature as well as from informatics.jax.org) is the community model major data providers (1,2). organism database resource for the laboratory The central mission of the MGD is to support the trans- mouse, a premier animal model for the study of lation of information from experimental mouse models to genetic and genomic systems relevant to human uncover the genetic basis of human diseases. As a highly biology and disease. MGD maintains a comprehen- curated and comprehensive model organism database, sive catalog of genes, functional RNAs and other MGD provides web and programmatic access to a genome features as well as heritable phenotypes complete catalog of mouse genes and genome features and quantitative trait loci. The genome feature including genomic sequence and variant information. catalog is generated by the integration of computa- MGD curates and maintains the comprehensive listing of functional annotations for mouse genes using Gene tional and manual genome annotations generated Ontology (GO) terms and contributes to the development by NCBI, Ensembl and Vega/HAVANA. -
Mouse Genome Database (MGD): Knowledgebase for Mouse- Human Comparative Biology
The Jackson Laboratory The Mouseion at the JAXlibrary Faculty Research 2021 Faculty Research 1-8-2021 Mouse Genome Database (MGD): Knowledgebase for mouse- human comparative biology. Judith A. Blake Richard M. Baldarelli James A. Kadin Joel E Richardson Cynthia Smith See next page for additional authors Follow this and additional works at: https://mouseion.jax.org/stfb2021 Part of the Life Sciences Commons, and the Medicine and Health Sciences Commons Authors Judith A. Blake, Richard M. Baldarelli, James A. Kadin, Joel E Richardson, Cynthia Smith, Carol J Bult, and Mouse Genome Database Group Published online 24 November 2020 Nucleic Acids Research, 2021, Vol. 49, Database issue D981–D987 doi: 10.1093/nar/gkaa1083 Mouse Genome Database (MGD): Knowledgebase for mouse–human comparative biology Judith A. Blake *, Richard Baldarelli, James A. Kadin, Joel E. Richardson, Cynthia L. Smith , Carol J. Bult and the Mouse Genome Database Group The Jackson Laboratory, Bar Harbor, ME, USA Downloaded from https://academic.oup.com/nar/article/49/D1/D981/5999894 by Jackson Laboratory user on 28 January 2021 Received September 15, 2020; Revised October 18, 2020; Editorial Decision October 19, 2020; Accepted November 22, 2020 ABSTRACT lying human biology and disease. MGD serves three ma- jor user communities: (i) biomedical researchers who use The Mouse Genome Database (MGD; http://www. mouse experimentation to investigate genetic and molecu- informatics.jax.org) is the community model organ- lar principles of biology and disease processes, (ii) transla- ism knowledgebase for the laboratory mouse, a tional scientists who use the laboratory mouse to model hu- widely used animal model for comparative studies man disease and (iii) bioinformaticians/computational bi- of the genetic and genomic basis for human health ologists who use the rich integrated data MGD provides to and disease. -
Dosage Compensation in Mammals: Fine-Tuning the Expression of the X Chromosome
Downloaded from genesdev.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW Dosage compensation in mammals: fine-tuning the expression of the X chromosome Edith Heard1,3 and Christine M. Disteche2,4 1CNRS UMR218, Curie Institute, 75248 Paris, Cedex 05, France; 2Department of Pathology and Department of Medicine, University of Washington, Seattle, Washington 98195, USA Mammalian females have two X chromosomes and somes. In eutherians, X-chromosome inactivation (XCI) males have only one. This has led to the evolution of affects the paternal or maternal X chromosome ran- special mechanisms of dosage compensation. The inac- domly during early development, and the inactive state tivation of one X chromosome in females equalizes gene is then stably inherited, giving rise to adults that are expression between the sexes. This process of X-chromo- mosaics for two cell types, expressing one or the other X some inactivation (XCI) is a remarkable example of long- chromosome. The initiation of X inactivation is con- range, monoallelic gene silencing and facultative hetero- trolled by the X-inactivation center (Xic), which pro- chromatin formation, and the questions surrounding it duces the noncoding Xist transcript responsible for trig- have fascinated biologists for decades. How does the in- gering silencing in cis. In marsupials and in the extraem- activation of more than a thousand genes on one X chro- bryonic tissues of some placental mammals such as mosome take place while the other X chromosome, rodents, XCI is imprinted, with the paternal X chromo- present in the same nucleus, remains genetically active? some (Xp) being inactivated. -
Mouse Genome Informatics (MGI) Resource: Genetic, Genomic, and Biological Knowledgebase for the Laboratory Mouse Janan T
ILAR Journal, 2017, Vol. 58, No. 1, 17–41 doi: 10.1093/ilar/ilx013 Article Mouse Genome Informatics (MGI) Resource: Genetic, Genomic, and Biological Knowledgebase for the Laboratory Mouse Janan T. Eppig Janan T. Eppig, PhD, is Professor Emeritus at The Jackson Laboratory in Bar Harbor, Maine. Address correspondence to Dr. Janan T. Eppig, The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609 or email [email protected] Abstract The Mouse Genome Informatics (MGI) Resource supports basic, translational, and computational research by providing high-quality, integrated data on the genetics, genomics, and biology of the laboratory mouse. MGI serves a strategic role for the scientific community in facilitating biomedical, experimental, and computational studies investigating the genetics and processes of diseases and enabling the development and testing of new disease models and therapeutic interventions. This review describes the nexus of the body of growing genetic and biological data and the advances in computer technology in the late 1980s, including the World Wide Web, that together launched the beginnings of MGI. MGI develops and maintains a gold-standard resource that reflects the current state of knowledge, provides semantic and contextual data integration that fosters hypothesis testing, continually develops new and improved tools for searching and analysis, and partners with the scientific community to assure research data needs are met. Here we describe one slice of MGI relating to the development of community-wide large-scale mutagenesis and phenotyping projects and introduce ways to access and use these MGI data. References and links to additional MGI aspects are provided. Key words: database; genetics; genomics; human disease model; informatics; model organism; mouse; phenotypes Introduction strains and special purpose strains that have been developed The laboratory mouse is an essential model for understanding provide fertile ground for population studies and the potential human biology, health, and disease. -
22Q11.2 Duplications North Carolina, 27526, Ontario, USA Canada on P4N 6N5 Tel +1 (919) 567-8167 [email protected] Or [email protected]
Support and Information Rare Chromosome Disorder Support Group The Stables, Station Road West, Oxted, Surrey RH8 9EE, United Kingdom Tel: +44(0)1883 723356 [email protected] I www.rarechromo.org Join Unique for family links, information and support. Unique is a charity without government funding, existing entirely on donations and grants. If you can, please make a donation via our website at www.rarechromo.org/donate Please help us to help you! Chromosome 22 Central www.c22c.org or c/o Murney Rinholm, c/o Stephanie St-Pierre, 7108 Partinwood Drive, 338 Spruce Street North, Fuquay-Varina, Timmins, 22q11.2 duplications North Carolina, 27526, Ontario, USA Canada ON P4N 6N5 Tel +1 (919) 567-8167 [email protected] or [email protected] Facebook www.facebook.com/groups/214854295210303 This guide was developed by Unique with generous support from the James Tudor Foundation. Unique lists external message boards and websites in order to be helpful to families looking for information and support. This does not imply that we endorse their content or have any responsibility for it. This information guide is not a substitute for personal medical advice. Families should consult a medically qualified clinician in all matters relating to genetic diagnosis, management and health. Information on genetic changes is a very fast-moving field and while the information in this guide is believed to be the best available at the time of publication, some facts may later change. Unique does its best to keep abreast of changing information and to review its published guides as needed. The guide was compiled by Unique and reviewed by Dr Melissa Carter, Clinical Geneticist specializing in developmental disabilities at The Hospital for Sick Children in Toronto, Canada , and by Professor Maj Hultén, Professor of Medical Genetics, University of Warwick, UK and Karolinska Institutet, Stockholm, Sweden. -
LARGE Expression in Different Types of Muscular Dystrophies Other Than Dystroglycanopathy Burcu Balci-Hayta1*, Beril Talim2, Gulsev Kale2 and Pervin Dincer1
Balci-Hayta et al. BMC Neurology (2018) 18:207 https://doi.org/10.1186/s12883-018-1207-0 RESEARCHARTICLE Open Access LARGE expression in different types of muscular dystrophies other than dystroglycanopathy Burcu Balci-Hayta1*, Beril Talim2, Gulsev Kale2 and Pervin Dincer1 Abstract Background: Alpha-dystroglycan (αDG) is an extracellular peripheral glycoprotein that acts as a receptor for both extracellular matrix proteins containing laminin globular domains and certain arenaviruses. An important enzyme, known as Like-acetylglucosaminyltransferase (LARGE), has been shown to transfer repeating units of -glucuronic acid-β1,3-xylose-α1,3- (matriglycan) to αDG that is required for functional receptor as an extracellular matrix protein scaffold. The reduction in the amount of LARGE-dependent matriglycan result in heterogeneous forms of dystroglycanopathy that is associated with hypoglycosylation of αDG and a consequent lack of ligand-binding activity. Our aim was to investigate whether LARGE expression showed correlation with glycosylation of αDG and histopathological parameters in different types of muscular dystrophies, except for dystroglycanopathies. Methods: The expression level of LARGE and glycosylation status of αDG were examined in skeletal muscle biopsies from 26 patients with various forms of muscular dystrophy [Duchenne muscular dystrophy (DMD), Becker muscular dystrophy (BMD), sarcoglycanopathy, dysferlinopathy, calpainopathy, and merosin and collagen VI deficient congenital muscular dystrophies (CMDs)] and correlation of results with different histopathological features was investigated. Results: Despite the fact that these diseases are not caused by defects of glycosyltransferases, decreased expression of LARGE was detected in many patient samples, partly correlating with the type of muscular dystrophy. Although immunolabelling of fully glycosylated αDG with VIA4–1 was reduced in dystrophinopathy patients, no significant relationship between reduction of LARGE expression and αDG hypoglycosylation was detected. -
Human Tagged ORF Clone – RG212703
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RG212703 Trophinin (TRO) (NM_177556) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: Trophinin (TRO) (NM_177556) Human Tagged ORF Clone Tag: TurboGFP Symbol: TRO Synonyms: MAGE-d3; MAGED3 Vector: pCMV6-AC-GFP (PS100010) E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: Neomycin This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 4 Trophinin (TRO) (NM_177556) Human Tagged ORF Clone – RG212703 ORF Nucleotide >RG212703 representing NM_177556 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGGATAGGAGAAATGACTACGGATATAGGGTGCCTCTATTTCAGGGCCCTCTGCCTCCCCCGGGGAGCC TGGGGCTTCCCTTCCCTCCAGATATACAGACTGAGACCACAGAAGAGGACAGTGTCCTGCTGATGCATAC CCTGTTGGCGGCAACCAAGGACTCCCTGGCCATGGACCCACCAGTTGTCAACCGGCCTAAGAAAAGCAAG ACCAAGAAGGCCCCTATAAAGACTATTACTAAGGCTGCACCTGCTGCCCCTCCAGTCCCAGCTGCCAATG AGATTGCCACCAACAAGCCCAAAATAACTTGGCAGGCTTTAAACCTGCCAGTCATTACCCAGATCAGCCA GGCTTTACCTACCACTGAGGTAACCAATACTCAGGCTTCTTCAGTCACTGCTCAGCCTAAGAAAGCCAAC AAGATGAAGAGAGTTACTGCCAAGGCAGCCCAAGGCTCCCAATCCCCAACTGGCCATGAGGGTGGCACTA TACAGCTGAAGTCACCCTTGCAGGTCCTAAAGCTACCAGTCATCTCACAGAATATTCACGCTCCAATTGC CAATGAGTCAGCCAGTTCCCAAGCCTTGATAACCTCTATCAAGCCTAAGAAAGCTTCCAAGGCTAAGAAG