RNA Components of the Spliceosome Regulate Tissue- and Cancer-Specific Alternative Splicing
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 The copyright holder for this preprint i (which was not certified by peer review)“main” is the author/funder, — 2020/8/23 who has — granted 9:38 — bioRxiv page a1 license — #1 to display the preprint in perpetuity.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). -
Coupling of Spliceosome Complexity to Intron Diversity
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.19.436190; this version posted March 20, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Coupling of spliceosome complexity to intron diversity Jade Sales-Lee1, Daniela S. Perry1, Bradley A. Bowser2, Jolene K. Diedrich3, Beiduo Rao1, Irene Beusch1, John R. Yates III3, Scott W. Roy4,6, and Hiten D. Madhani1,6,7 1Dept. of Biochemistry and Biophysics University of California – San Francisco San Francisco, CA 94158 2Dept. of Molecular and Cellular Biology University of California - Merced Merced, CA 95343 3Department of Molecular Medicine The Scripps Research Institute, La Jolla, CA 92037 4Dept. of Biology San Francisco State University San Francisco, CA 94132 5Chan-Zuckerberg Biohub San Francisco, CA 94158 6Corresponding authors: [email protected], [email protected] 7Lead Contact 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.19.436190; this version posted March 20, 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. SUMMARY We determined that over 40 spliceosomal proteins are conserved between many fungal species and humans but were lost during the evolution of S. cerevisiae, an intron-poor yeast with unusually rigid splicing signals. We analyzed null mutations in a subset of these factors, most of which had not been investigated previously, in the intron-rich yeast Cryptococcus neoformans. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
CRNKL1 Is a Highly Selective Regulator of Intron-Retaining HIV-1 and Cellular Mrnas
bioRxiv preprint doi: https://doi.org/10.1101/2020.02.04.934927; this version posted February 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 CRNKL1 is a highly selective regulator of intron-retaining HIV-1 and cellular mRNAs 2 3 4 Han Xiao1, Emanuel Wyler2#, Miha Milek2#, Bastian Grewe3, Philipp Kirchner4, Arif Ekici4, Ana Beatriz 5 Oliveira Villela Silva1, Doris Jungnickl1, Markus Landthaler2,5, Armin Ensser1, and Klaus Überla1* 6 7 1 Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander 8 Universität Erlangen-Nürnberg, Erlangen, Germany 9 2 Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the 10 Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany 11 3 Department of Molecular and Medical Virology, Ruhr-University, Bochum, Germany 12 4 Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen- 13 Nürnberg, Erlangen, Germany 14 5 IRI Life Sciences, Institute für Biologie, Humboldt Universität zu Berlin, Philippstraße 13, 10115, Berlin, 15 Germany 16 # these two authors contributed equally 17 18 19 *Corresponding author: 20 Prof. Dr. Klaus Überla 21 Institute of Clinical and Molecular Virology, University Hospital Erlangen 22 Friedrich-Alexander Universität Erlangen-Nürnberg 23 Schlossgarten 4, 91054 Erlangen 24 Germany 25 Tel: (+49) 9131-8523563 26 e-mail: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.02.04.934927; this version posted February 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
Mrna Turnover Philip Mitchell* and David Tollervey†
320 mRNA turnover Philip Mitchell* and David Tollervey† Nuclear RNA-binding proteins can record pre-mRNA are cotransported to the cytoplasm with the mRNP. These processing events in the structure of messenger proteins may preserve a record of the nuclear history of the ribonucleoprotein particles (mRNPs). During initial rounds of pre-mRNA in the cytoplasmic mRNP structure. This infor- translation, the mature mRNP structure is established and is mation can strongly influence the cytoplasmic fate of the monitored by mRNA surveillance systems. Competition for the mRNA and is used by mRNA surveillance systems that act cap structure links translation and subsequent mRNA as a checkpoint of mRNP integrity, particularly in the identi- degradation, which may also involve multiple deadenylases. fication of premature translation termination codons (PTCs). Addresses Cotransport of nuclear mRNA-binding proteins with mRNA Wellcome Trust Centre for Cell Biology, ICMB, University of Edinburgh, from the nucleus to the cytoplasm (nucleocytoplasmic shut- Kings’ Buildings, Edinburgh EH9 3JR, UK tling) was first observed for the heterogeneous nuclear *e-mail: [email protected] ribonucleoprotein (hnRNP) proteins. Some hnRNP proteins †e-mail: [email protected] are stripped from the mRNA at export [1], but hnRNP A1, Current Opinion in Cell Biology 2001, 13:320–325 A2, E, I and K are all exported (see [2]). Although roles for 0955-0674/01/$ — see front matter these hnRNP proteins in transport and translation have been © 2001 Elsevier Science Ltd. All rights reserved. reported [3•,4•], their affects on mRNA stability have been little studied. More is known about hnRNP D/AUF1 and Abbreviations AREs AU-rich sequence elements another nuclear RNA-binding protein, HuR, which act CBC cap-binding complex antagonistically to modulate the stability of a range of DAN deadenylating nuclease mRNAs containing AU-rich sequence elements (AREs) DSEs downstream sequence elements (reviewed in [2]). -
U5 Snrnp Role in Cancer
Cell S f ign l o a a li n n r g u o J ISSN: 2576-1471 Journal of Cell Signaling Editorial U5 snRNP Role in Cancer Abdul Rahman Asif* Department of Clinical Chemistry/Central Laboratory, Georg-August-University, Gottingen, Germany EDITORIAL NOTE U5 snRNP and human disease. In particular, the tissue-specific and distinct phenotypic consequences of genetic variants in Pre-mRNA splicing is performed by the spliceosome, a dynamic different, but interacting, proteins of the same spliceosomal macromolecular complex consisting of five small uridine-rich complex-RP and craniofacial disorders-remains arguably the ribonucleoprotein complexes are U1, U2, U4, U5, and U6 biggest enigma in this field. Also, the association of certain U5 snRNPs and numerous auxiliary splicing factors. A plethora of snRNP proteins with cancer, including proteins also linked to human disorders are caused by genetic variants affecting the RP or craniofacial defects, introduces an additional layer of function and/or expression of splicing factors, including the complexity as mutations in and/or altered expression levels of core snRNP proteins. Alternatives in the genes encoding the same protein can have very different phenotypic outcomes. proteins of the U5 snRNP cause two distinct and tissue-specific RP and the craniofacial disorders MFDGA and BMKS, much human disease phenotypes variants in PRPF6, PRPF8, and evidence from disease modelling supports the mis-splicing of SNRP200 are connected with retinitis pigmentosa, while distinct subsets of genes which may be involved in retinal variants in EFTUD2 and TXNL4A cause the craniofacial function or craniofacial growth, respectively. It may be that at disorders mandibulofacial dysostosis Guion-Almeida type and least some of these mis-spliced genes are mainly or only Burn-McKeown syndrome, respectively. -
Comprehensive Protein Interactome Analysis of a Key RNA Helicase: Detection of Novel Stress Granule Proteins
Biomolecules 2015, 5, 1441-1466; doi:10.3390/biom5031441 OPEN ACCESS biomolecules ISSN 2218-273X www.mdpi.com/journal/biomolecules/ Article Comprehensive Protein Interactome Analysis of a Key RNA Helicase: Detection of Novel Stress Granule Proteins Rebecca Bish 1,†, Nerea Cuevas-Polo 1,†, Zhe Cheng 1, Dolores Hambardzumyan 2, Mathias Munschauer 3, Markus Landthaler 3 and Christine Vogel 1,* 1 Center for Genomics and Systems Biology, Department of Biology, New York University, 12 Waverly Place, New York, NY 10003, USA; E-Mails: [email protected] (R.B.); [email protected] (N.C.-P.); [email protected] (Z.C.) 2 The Cleveland Clinic, Department of Neurosciences, Lerner Research Institute, 9500 Euclid Avenue, Cleveland, OH 44195, USA; E-Mail: [email protected] 3 RNA Biology and Post-Transcriptional Regulation, Max-Delbrück-Center for Molecular Medicine, Berlin-Buch, Robert-Rössle-Str. 10, Berlin 13092, Germany; E-Mails: [email protected] (M.M.); [email protected] (M.L.) † These authors contributed equally to this work. * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-212-998-3976; Fax: +1-212-995-4015. Academic Editor: André P. Gerber Received: 10 May 2015 / Accepted: 15 June 2015 / Published: 15 July 2015 Abstract: DDX6 (p54/RCK) is a human RNA helicase with central roles in mRNA decay and translation repression. To help our understanding of how DDX6 performs these multiple functions, we conducted the first unbiased, large-scale study to map the DDX6-centric protein-protein interactome using immunoprecipitation and mass spectrometry. Using DDX6 as bait, we identify a high-confidence and high-quality set of protein interaction partners which are enriched for functions in RNA metabolism and ribosomal proteins. -
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. -
Nuclear PTEN Safeguards Pre-Mrna Splicing to Link Golgi Apparatus for Its Tumor Suppressive Role
ARTICLE DOI: 10.1038/s41467-018-04760-1 OPEN Nuclear PTEN safeguards pre-mRNA splicing to link Golgi apparatus for its tumor suppressive role Shao-Ming Shen1, Yan Ji2, Cheng Zhang1, Shuang-Shu Dong2, Shuo Yang1, Zhong Xiong1, Meng-Kai Ge1, Yun Yu1, Li Xia1, Meng Guo1, Jin-Ke Cheng3, Jun-Ling Liu1,3, Jian-Xiu Yu1,3 & Guo-Qiang Chen1 Dysregulation of pre-mRNA alternative splicing (AS) is closely associated with cancers. However, the relationships between the AS and classic oncogenes/tumor suppressors are 1234567890():,; largely unknown. Here we show that the deletion of tumor suppressor PTEN alters pre-mRNA splicing in a phosphatase-independent manner, and identify 262 PTEN-regulated AS events in 293T cells by RNA sequencing, which are associated with significant worse outcome of cancer patients. Based on these findings, we report that nuclear PTEN interacts with the splicing machinery, spliceosome, to regulate its assembly and pre-mRNA splicing. We also identify a new exon 2b in GOLGA2 transcript and the exon exclusion contributes to PTEN knockdown-induced tumorigenesis by promoting dramatic Golgi extension and secretion, and PTEN depletion significantly sensitizes cancer cells to secretion inhibitors brefeldin A and golgicide A. Our results suggest that Golgi secretion inhibitors alone or in combination with PI3K/Akt kinase inhibitors may be therapeutically useful for PTEN-deficient cancers. 1 Department of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine (SJTU-SM), Shanghai 200025, China. 2 Institute of Health Sciences, Shanghai Institutes for Biological Sciences of Chinese Academy of Sciences and SJTU-SM, Shanghai 200025, China. -
Messenger RNA Reprogramming by Spliceosome-Mediated RNA Trans-Splicing
Messenger RNA reprogramming by spliceosome-mediated RNA trans-splicing Mariano A. Garcia-Blanco J Clin Invest. 2003;112(4):474-480. https://doi.org/10.1172/JCI19462. Perspective Series In the human genome, the majority of protein-encoding genes are interrupted by introns, which are removed from primary transcripts by a macromolecular enzyme known as the spliceosome. Spliceosomes can constitutively remove all the introns in a primary transcript to yield a fully spliced mRNA or alternatively splice primary transcripts leading to the production of many different mRNAs from one gene. This review examines how spliceosomes can recombine two primary transcripts in trans to reprogram messenger RNAs. Find the latest version: https://jci.me/19462/pdf PERSPECTIVE SERIES Genetic repair | Bruce A. Sullenger, Series Editor Messenger RNA reprogramming by spliceosome-mediated RNA trans-splicing Mariano A. Garcia-Blanco Department of Molecular Genetics and Microbiology and Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA In the human genome, the majority of protein-encoding genes are interrupted by introns, which are removed from primary transcripts by a macromolecular enzyme known as the spliceosome. Spliceo- somes can constitutively remove all the introns in a primary transcript to yield a fully spliced mRNA or alternatively splice primary transcripts leading to the production of many different mRNAs from one gene. This review examines how spliceosomes can recombine two primary transcripts in trans to reprogram messenger RNAs. J. Clin. Invest. 112:474–480 (2003). doi:10.1172/JCI200319462. Reprogramming of mRNA mediated RNA trans-splicing (SMaRT) has been used The reprogramming of mRNA is a form of gene ther- to reprogram mRNAs in animal cells in culture, in apy that modifies mRNA without directly changing xenografts, and in animals (9–13). -
Conserved Long-Range RNA Structures Associated with Pre-Mrna
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.05.076927; this version posted January 20, 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. Conserved long-range base pairings are associated with pre-mRNA processing of human genes Svetlana Kalmykova1,2, Marina Kalinina1, Stepan Denisov1, Alexey Mironov1, Dmitry Skvortsov3, Roderic Guigo´4, and Dmitri Pervouchine1,* 1Skolkovo Institute of Science and Technology, Moscow 143026, Russia 2Institute of Pathology, Charite´ Universitatsmedizin¨ Berlin, 10117, Berlin, Germany 3Faculty of Chemistry, Moscow State University, Moscow 119234, Russia 4Center for Genomic Regulation and UPF, Barcelona 08003, Spain *e-mail: [email protected] Abstract The ability of nucleic acids to form double-stranded structures is essential for all liv- ing systems on Earth. While DNA employs it for genome replication, RNA molecules fold into complicated secondary and tertiary structures. Current knowledge on functional RNA structures in human protein-coding genes is focused on locally-occurring base pairs. However, chemical crosslinking and proximity ligation experiments have demonstrated that long-range RNA structures are highly abundant. Here, we present the most complete to- date catalog of conserved long-range RNA structures in the human transcriptome, which consists of 916,360 pairs of conserved complementary regions (PCCRs). PCCRs tend to occur within introns proximally to splice sites, suppress intervening exons, circumscribe circular RNAs, and exert an obstructive effect on cryptic and inactive splice sites. -
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.