Unmasking Alternative Splicing Inside Protein-Coding Exons Defines Exitrons and Their Role in Proteome Plasticity
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Differential Analysis of Gene Expression and Alternative Splicing
i bioRxiv preprint doi: https://doi.org/10.1101/2020.08.23.234237; this version posted August 24, 2020. The copyright holder for this preprint i (which was not certified by peer review)“main” is the author/funder, — 2020/8/23 who has — granted 9:38 — bioRxiv page a1 license — #1 to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. i i EmpiReS: Differential Analysis of Gene Expression and Alternative Splicing Gergely Csaba∗, Evi Berchtold*,y, Armin Hadziahmetovic, Markus Gruber, Constantin Ammar and Ralf Zimmer Department of Informatics, Ludwig-Maximilians-Universitat¨ Munchen,¨ 80333, Munich, Germany ABSTRACT to translation. Different transcripts of the same gene are often expressed at the same time, possibly at different abundance, While absolute quantification is challenging in high- yielding a defined mixture of isoforms. Changes to this throughput measurements, changes of features composition are further referred to as differential alternative between conditions can often be determined with splicing (DAS). Various diseases can be linked to DAS high precision. Therefore, analysis of fold changes events (3). Most hallmarks of cancer like tumor progression is the standard method, but often, a doubly and immune escape (4, 5) can be attributed to changes in differential analysis of changes of changes is the transcript composition (6). DAS plays a prominent role required. Differential alternative splicing is an in various types of muscular dystrophy (MD) (7), splicing example of a doubly differential analysis, i.e. fold intervention by targeted exon removal is a therapeutic option changes between conditions for different isoforms in Duchenne MD (8). -
1 Lessons from Non-Canonical Splicing 1 2 Christopher R Sibley1,2*, Lorea Blazquez1* and Jernej Ule1 3 4 Addresses: 5
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UCL Discovery 1 Lessons from non-canonical splicing 2 3 Christopher R Sibley1,2*, Lorea Blazquez1* and Jernej Ule1 4 5 Addresses: 6 1Department of Molecular Neuroscience, UCL Institute of Neurology, Russell 7 Square House, Russell Square, London, WC1B 5EH, UK 8 9 2Division of Brain Sciences, Imperial College, Burlington Danes, DuCane Road, 10 London W12 0NN, UK 11 12 13 Additional information: 14 * These authors contributed equally to this work 15 16 17 Correspondence to JU 18 19 E-mail: [email protected] 20 21 22 DOI: 10.1038/nrgXXXX [office use only] 1 Abstract Recent improvements in experimental and computational techniques used to study the transcriptome have enabled an unprecedented view of RNA processing, revealing many previously unknown non-canonical splicing events. 5 This includes cryptic events located far from the currently annotated exons, and unconventional splicing mechanisms that have important roles in regulating gene expression. These non-canonical splicing events are a major source of newly emerging transcripts during evolution, especially when they involve sequences derived from transposable elements. They are therefore under precise 10 regulation and quality control, which minimises their potential to disrupt gene expression. While non-canonical splicing can lead to aberrant transcripts that cause many diseases, we also explain how it can be exploited for new therapeutic strategies. 15 Introduction The vast majority of human genes contain more than one exon, and therefore introns need to be spliced from the nascent transcript and exons joined to form an mRNA that can be translated into a protein. -
Splicing and Editing of Ionotropic Glutamate Receptors: a Comprehensive Analysis Based on Human RNA‑Seq Data
Cellular and Molecular Life Sciences (2021) 78:5605–5630 https://doi.org/10.1007/s00018-021-03865-z Cellular andMolecular Life Sciences ORIGINAL ARTICLE Splicing and editing of ionotropic glutamate receptors: a comprehensive analysis based on human RNA‑Seq data Robin Herbrechter1 · Nadine Hube1 · Raoul Buchholz1 · Andreas Reiner1 Received: 20 March 2021 / Revised: 12 May 2021 / Accepted: 22 May 2021 / Published online: 8 June 2021 © The Author(s) 2021 Abstract Ionotropic glutamate receptors (iGluRs) play key roles for signaling in the central nervous system. Alternative splicing and RNA editing are well-known mechanisms to increase iGluR diversity and to provide context-dependent regulation. Earlier work on isoform identifcation has focused on the analysis of cloned transcripts, mostly from rodents. We here set out to obtain a systematic overview of iGluR splicing and editing in human brain based on RNA-Seq data. Using data from two large-scale transcriptome studies, we established a workfow for the de novo identifcation and quantifcation of alternative splice and editing events. We detected all canonical iGluR splice junctions, assessed the abundance of alternative events described in the literature, and identifed new splice events in AMPA, kainate, delta, and NMDA receptor subunits. Notable events include an abundant transcript encoding the GluA4 amino-terminal domain, GluA4-ATD, a novel C-terminal GluD1 (delta receptor 1) isoform, GluD1-b, and potentially new GluK4 and GluN2C isoforms. C-terminal GluN1 splicing may be controlled by inclusion of a cassette exon, which shows preference for one of the two acceptor sites in the last exon. Moreo- ver, we identifed alternative untranslated regions (UTRs) and species-specifc diferences in splicing. -
RNA Components of the Spliceosome Regulate Tissue- and Cancer-Specific Alternative Splicing
Downloaded from genome.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press Research RNA components of the spliceosome regulate tissue- and cancer-specific alternative splicing Heidi Dvinge,1,2,4 Jamie Guenthoer,3 Peggy L. Porter,3 and Robert K. Bradley1,2 1Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA; 2Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA; 3Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA Alternative splicing of pre-mRNAs plays a pivotal role during the establishment and maintenance of human cell types. Characterizing the trans-acting regulatory proteins that control alternative splicing has therefore been the focus of much research. Recent work has established that even core protein components of the spliceosome, which are required for splicing to proceed, can nonetheless contribute to splicing regulation by modulating splice site choice. We here show that the RNA components of the spliceosome likewise influence alternative splicing decisions. Although these small nuclear RNAs (snRNAs), termed U1, U2, U4, U5, and U6 snRNA, are present in equal stoichiometry within the spliceosome, we found that their relative levels vary by an order of magnitude during development, across tissues, and across cancer samples. Physiologically relevant perturbation of individual snRNAs drove widespread gene-specific differences in alternative splic- ing but not transcriptome-wide splicing failure. Genes that were particularly sensitive to variations in snRNA abundance in a breast cancer cell line model were likewise preferentially misspliced within a clinically diverse cohort of invasive breast ductal carcinomas. -
Splicing Graphs and RNA-Seq Data
Splicing graphs and RNA-seq data Herv´ePag`es Daniel Bindreither Marc Carlson Martin Morgan Last modified: January 2019; Compiled: May 19, 2021 Contents 1 Introduction 1 2 Splicing graphs 2 2.1 Definitions and example . .2 2.2 Details about nodes and edges . .2 2.3 Uninformative nodes . .5 3 Computing splicing graphs from annotations 6 3.1 Choosing and loading a gene model . .6 3.2 Generating a SplicingGraphs object . .6 3.3 Basic manipulation of a SplicingGraphs object . .8 3.4 Extracting and plotting graphs from a SplicingGraphs object . 12 4 Splicing graph bubbles 15 4.1 Some definitions . 15 4.2 Computing the bubbles of a splicing graph . 17 4.3 AScodes ............................................... 18 4.4 Tabulating all the AS codes for Human chromosome 14 . 19 5 Counting reads 20 5.1 Assigning reads to the edges of a SplicingGraphs object . 22 5.2 How does read assignment work? . 23 5.3 Counting and summarizing the assigned reads . 25 6 Session Information 26 1 Introduction The SplicingGraphs package allows the user to create and manipulate splicing graphs [1] based on annotations for a given organism. Annotations must describe a gene model, that is, they need to contain the following information: The exact exon/intron structure (i.e., genomic coordinates) for the known transcripts. The grouping of transcripts by gene. Annotations need to be provided as a TxDb or GRangesList object, which is how a gene model is typically represented in Bioconductor. 1 The SplicingGraphs package defines the SplicingGraphs container for storing the splicing graphs together with the gene model that they are based on. -
A Collection of Pre-Mrna Splicing Mutants in Arabidopsis Thaliana
G3: Genes|Genomes|Genetics Early Online, published on April 7, 2020 as doi:10.1534/g3.119.400998 1 1 A collection of pre-mRNA splicing mutants in Arabidopsis thaliana 2 3 4 Tatsuo Kanno1,a, Peter Venhuizen2,a, Ming-Tsung Wu3, Phebe Chiou1, Chia-Liang Chang1, 5 Maria Kalyna2,c, Antonius J.M. Matzke1,c and Marjori Matzke1,c 6 7 1Institute of Plant and Microbial Biology, Academia Sinica, 128, Sec. 2, Academia Rd., Nangang 8 District, Taipei, 11529 Taiwan 9 10 2Department of Applied Genetics and Cell Biology, University of Natural Resources and Life 11 Sciences - BOKU, Muthgasse 18, 1190 Vienna, Austria 12 13 3Department of Plant Sciences, University of Cambridge, Downing Street, CB2 3EA Cambridge, 14 UK 15 16 athese authors should be regarded as joint first authors 17 18 19 cCorresponding authors: 20 Antonius J.M. Matzke ([email protected]) 21 Tel: +886-2787-1135 22 Marjori Matzke ([email protected]) 23 Tel: +886-2787-1135 24 Maria Kalyna ([email protected]) 25 Tel: +43-1-47654-94112 26 27 28 29 30 31 32 © The Author(s) 2020. Published by the Genetics Society of America. 2 33 34 Running title: Arabidopsis pre-mRNA splicing mutants 35 36 Key words: Arabidopsis thaliana, CBP80. miRNAs, mutant screen, pre-mRNA splicing 37 38 39 40 Corresponding authors: 41 Antonius J.M. Matzke ([email protected]), Institute of Plant and Microbial 42 Biology, Academia Sinica, 128, Sec. 2, Academia Rd., Nangang District, Taipei, 11529 Taiwan 43 Tel: +886-2787-1135 44 45 Marjori Matzke ([email protected]), Institute of Plant and Microbial Biology, 46 Academia Sinica, 128, Sec. -
An Ancient Germ Cell-Specific RNA-Binding Protein Protects
RESEARCH ARTICLE An ancient germ cell-specific RNA-binding protein protects the germline from cryptic splice site poisoning Ingrid Ehrmann1, James H Crichton2, Matthew R Gazzara3,4, Katherine James5, Yilei Liu1,6, Sushma Nagaraja Grellscheid1,7, TomazˇCurk8, Dirk de Rooij9,10, Jannetta S Steyn11, Simon Cockell11, Ian R Adams2, Yoseph Barash3,12*, David J Elliott1* 1Institute of Genetic Medicine, Newcastle University, Newcastle, United Kingdom; 2MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom; 3Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States; 4Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States; 5Life Sciences, Natural History Museum, London, United Kingdom; 6Department of Plant and Microbial Biology, University of Zu¨ rich, Zu¨ rich, Switzerland; 7School of Biological and Biomedical Sciences, University of Durham, Durham, United Kingdom; 8Laboratory of Bioinformatics, Faculty of Computer and Information Sciences, University of Ljubljana, Ljubljana, Slovenia; 9Reproductive Biology Group, Division of Developmental Biology, Department of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands; 10Center for Reproductive Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands; 11Bioinformatics Support Unit, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom; 12Department of Computer and Information Science, University of Pennsylvania, Philadelphia, United States *For correspondence: [email protected] (YB); [email protected] (DJE) Competing interests: The Abstract Male germ cells of all placental mammals express an ancient nuclear RNA binding authors declare that no protein of unknown function called RBMXL2. Here we find that deletion of the retrogene encoding competing interests exist. -
RNA Splicing in the Transition from B Cells
RNA Splicing in the Transition from B Cells to Antibody-Secreting Cells: The Influences of ELL2, Small Nuclear RNA, and Endoplasmic Reticulum Stress This information is current as of September 24, 2021. Ashley M. Nelson, Nolan T. Carew, Sage M. Smith and Christine Milcarek J Immunol 2018; 201:3073-3083; Prepublished online 8 October 2018; doi: 10.4049/jimmunol.1800557 Downloaded from http://www.jimmunol.org/content/201/10/3073 Supplementary http://www.jimmunol.org/content/suppl/2018/10/05/jimmunol.180055 http://www.jimmunol.org/ Material 7.DCSupplemental References This article cites 44 articles, 16 of which you can access for free at: http://www.jimmunol.org/content/201/10/3073.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 24, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2018 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology RNA Splicing in the Transition from B Cells to Antibody-Secreting Cells: The Influences of ELL2, Small Nuclear RNA, and Endoplasmic Reticulum Stress Ashley M. -
What Is a Gene, Post-ENCODE? History and Updated Definition
Downloaded from genome.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press Perspective What is a gene, post-ENCODE? History and updated definition Mark B. Gerstein,1,2,3,9 Can Bruce,2,4 Joel S. Rozowsky,2 Deyou Zheng,2 Jiang Du,3 Jan O. Korbel,2,5 Olof Emanuelsson,6 Zhengdong D. Zhang,2 Sherman Weissman,7 and Michael Snyder2,8 1Program in Computational Biology & Bioinformatics, Yale University, New Haven, Connecticut 06511, USA; 2Molecular Biophysics & Biochemistry Department, Yale University, New Haven, Connecticut 06511, USA; 3Computer Science Department, Yale University, New Haven, Connecticut 06511, USA; 4Center for Medical Informatics, Yale University, New Haven, Connecticut 06511, USA; 5European Molecular Biology Laboratory, 69117 Heidelberg, Germany; 6Stockholm Bioinformatics Center, Albanova University Center, Stockholm University, SE-10691 Stockholm, Sweden; 7Genetics Department, Yale University, New Haven, Connecticut 06511, USA; 8Molecular, Cellular, & Developmental Biology Department, Yale University, New Haven, Connecticut 06511, USA While sequencing of the human genome surprised us with how many protein-coding genes there are, it did not fundamentally change our perspective on what a gene is. In contrast, the complex patterns of dispersed regulation and pervasive transcription uncovered by the ENCODE project, together with non-genic conservation and the abundance of noncoding RNA genes, have challenged the notion of the gene. To illustrate this, we review the evolution of operational definitions of a gene over the past century—from the abstract elements of heredity of Mendel and Morgan to the present-day ORFs enumerated in the sequence databanks. We then summarize the current ENCODE findings and provide a computational metaphor for the complexity. -
Control of Alternative Splicing in Immune Responses: Many
Nicole M. Martinez Control of alternative splicing in Kristen W. Lynch immune responses: many regulators, many predictions, much still to learn Authors’ address Summary: Most mammalian pre-mRNAs are alternatively spliced in a Nicole M. Martinez1, Kristen W. Lynch1 manner that alters the resulting open reading frame. Consequently, 1Department of Biochemistry and Biophysics, University of alternative pre-mRNA splicing provides an important RNA-based layer Pennsylvania Perelman School of Medicine, Philadelphia, of protein regulation and cellular function. The ubiquitous nature of PA, USA. alternative splicing coupled with the advent of technologies that allow global interrogation of the transcriptome have led to an increasing Correspondence to: awareness of the possibility that widespread changes in splicing Kristen W. Lynch patterns contribute to lymphocyte function during an immune Department of Biochemistry and Biophysics response. Indeed, a few notable examples of alternative splicing have University of Pennsylvania Perelman School of Medicine clearly been demonstrated to regulate T-cell responses to antigen. 422 Curie Blvd. Moreover, several proteins key to the regulation of splicing in T cells Philadelphia, PA 19104-6059, USA have recently been identified. However, much remains to be done to Tel.: +1 215 573 7749 truly identify the spectrum of genes that are regulated at the level of Fax: +1 215 573 8899 splicing in immune cells and to determine how many of these are con- e-mail: [email protected] trolled by currently known factors and pathways versus unknown mechanisms. Here, we describe the proteins, pathways, and mecha- Acknowledgements nisms that have been shown to regulate alternative splicing in human K. -
University of Southampton Research Repository
University of Southampton Research Repository Copyright © and Moral Rights for this thesis and, where applicable, any accompanying data are retained by the author and/or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This thesis and the accompanying data cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder/s. The content of the thesis and accompanying research data (where applicable) must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holder/s. When referring to this thesis and any accompanying data, full bibliographic details must be given, e.g. Thesis: Ana Lages (2018) "Characterization of parallel G-quadruplex formation by highly conserved G-rich motifs in INS intron 1", University of Southampton, Faculty of Medicine, PhD Thesis, pagination. FACULTY OF MEDICINE Human Development and Health Characterization of parallel G-quadruplex formation by highly conserved G-rich motifs in INS intron 1 by Ana Luísa Gonçalves das Lages Thesis for the degree of Doctor of Philosophy June 2018 UNIVERSITY OF SOUTHAMPTON ABSTRACT FACULTY OF MEDICINE Human Development and Health Thesis for the degree of Doctor of Philosophy CHARACTERIZATION OF PARALLEL G-QUADRUPLEX FORMATION BY HIGHLY CONSERVED G-RICH MOTIFS IN INS INTRON 1 Ana Luísa Gonçalves das Lages Individuals predisposed to type 1 diabetes (T1DM) carry an adenine allele at rs689, a T-to-A genetic variant located 6 nucleotides upstream of the 3’ splice site of INS intron 1. -
Post Transcriptional Modification Dr
AQC-321 Post Transcriptional Modification Dr. Mamta Singh Assistant Professor COF (BASU), Kishanganj Post Transcriptional Modification Prokaryotes: RNA transcribed from DNA template and used immediately in protein synthesis Eukaryotes: Primary transcript (hn RNA) must undergo certain modifications to produce mature mRNA (active form) for protein synthesis. “Post-transcriptional modification is a set of biological processes common to most eukaryotic cells by which an primary RNA transcript is chemically altered following transcription from a gene to produce a mature, functional RNA molecule that can then leave the nucleus and perform any of a variety of different functions in the cell.” Post Transcriptional Modifications • Post transcriptional modifications are also responsible for changes in rRNA, tRNA and other special RNA like srpRNA, snRNA, snoRNA, miRNA etc. Important Post Transcriptional Modifications for Production of Mature mRNA 1. 5’ Capping 2. 3' maturation (Cleavage & Polyadenylation) 3. Splicing 4. Transport of RNA to Cytoplasm 5. Stabilization/Destabilization of mRNA Likely order of events in producing a mature mRNA from a pre-mRNA. 5’ RNA Capping 1. Occurs before the pre-mRNA is 30 nt long. 2. The modification that occurs at the 5' end of the primary transcript is called the 5' cap. 3. In this modification, a 7-methylguanylate residue is attached to the first nucleotide of the pre-mRNA by a 5'-5' linkage. 4. The 2'-hydroxyl groups of the ribose residues of the first 2 nucleotides may also be methylated. Order of events or “RNA triphosphatase” and enzymes in 5’ Capping AdoMet = S-adenosylmethionine, Product is Cap 0 the methyl donor Product is Cap 1 5’ Cap Functions Cap provides: 1.