A Multisubunit Factor, Cstf, Is Required for Polyadenylation of Mammalian Pre-Mrnas
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Subcellular RNA Profiling Links Splicing and Nuclear DICER1 to Alternative Cleavage and Polyadenylation
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Subcellular RNA profiling links splicing and nuclear DICER1 to alternative cleavage and polyadenylation Jonathan Neve1#, Kaspar Burger2#, Wencheng Li3, Mainul Hoque3, Radhika Patel1, Bin Tian3, Monika Gullerova2* and Andre Furger1* Affiliations: 1 Department of Biochemistry, South Parks Road, University of Oxford, OX1 3QU, UK 2 Sir William Dunn School of Pathology, South Parks Road, University of Oxford, OX1 3RE, UK 3Department of Biochemistry and Molecular Biology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA *Corresponding authors: Andre Furger Email: [email protected] Monika Gullerova Email: [email protected] # authors contributed equally Running Title: APA and subcellular fractionation Key words: alternative polyadenylation, mRNA, subcellular fractionation, DICER1 1 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Alternative cleavage and polyadenylation (APA) plays a crucial role in the regulation of gene expression across eukaryotes. Although APA is extensively studied, its regulation within cellular compartments and its physiological impact remains largely enigmatic. Here, we employed a rigorous subcellular fractionation approach to compare APA profiles of cytoplasmic and nuclear RNA fractions from human cell lines. This approach allowed us to extract APA isoforms that are subjected to differential regulation and provided us with a platform to interrogate the molecular regulatory pathways that shape APA profiles in different subcellular locations. Here we show that APA isoforms with shorter 3’UTRs tend to be overrepresented in the cytoplasm and appear to be cell type specific events. -
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 The copyright holder for this preprint i (which was not certified by peer review)“main” is the author/funder, — 2020/8/23 who has — granted 9:38 — bioRxiv page a1 license — #1 to display the preprint in perpetuity.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. -
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]). -
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. -
The Reciprocal Regulation Between Splicing and 3-End Processing
Advanced Review The reciprocal regulation between splicing and 30-end processing Daisuke Kaida* Most eukaryotic precursor mRNAs are subjected to RNA processing events, including 50-end capping, splicing and 30-end processing. These processing events were historically studied independently; however, since the early 1990s tremendous efforts by many research groups have revealed that these processing factors interact with each other to control each other’s functions. U1 snRNP and its components negatively regulate polyadenylation of precursor mRNAs. Impor- tantly, this function is necessary for protecting the integrity of the transcriptome and for regulating gene length and the direction of transcription. In addition, physical and functional interactions occur between splicing factors and 30-end processing factors across the last exon. These interactions activate or inhibit spli- cing and 30-end processing depending on the context. Therefore, splicing and 30- end processing are reciprocally regulated in many ways through the complex protein–protein interaction network. Although interesting questions remain, future studies will illuminate the molecular mechanisms underlying the recipro- cal regulation. © 2016 The Authors. WIREs RNA published by Wiley Periodicals, Inc. How to cite this article: WIREs RNA 2016, 7:499–511. doi: 10.1002/wrna.1348 INTRODUCTION regulate each other on the transcription apparatus. In addition, because these events are carried out co- n eukaryotic cells, most precursor mRNAs (pre- transcriptionally in most cases, such factors can exist ImRNAs) consist of protein-coding regions, exons, on pre-mRNA just after synthesis of the binding sites 1,2 and intervening regions, introns. The pre-mRNAs of processing factors, suggesting that the factors are subjected to splicing to remove introns and to affect each other on the pre-mRNA. -
The Differential Interaction of Snrnps with Pre-Mrna Reveals Splicing Kinetics in Living Cells
Published October 4, 2010 This article has original data in the JCB Data Viewer JCB: Article http://jcb-dataviewer.rupress.org/jcb/browse/3011 The differential interaction of snRNPs with pre-mRNA reveals splicing kinetics in living cells Martina Huranová,1 Ivan Ivani,1 Aleš Benda,2 Ina Poser,3 Yehuda Brody,4,5 Martin Hof,2 Yaron Shav-Tal,4,5 Karla M. Neugebauer,3 and David StanČk1 1Institute of Molecular Genetics and 2J. Heyrovský Institute of Physical Chemistry, Academy of Sciences of the Czech Republic, 142 20 Prague, Czech Republic 3Max Planck Institute for Molecular Cell Biology and Genetics, 01307 Dresden, Germany 4The Mina and Everard Goodman Faculty of Life Sciences and 5Institute for Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat Gan 52900, Israel recursor messenger RNA (pre-mRNA) splicing is Core components of the spliceosome, U2 and U5 snRNPs, catalyzed by the spliceosome, a large ribonucleo- associated with pre-mRNA for 15–30 s, indicating that protein (RNP) complex composed of five small nuclear splicing is accomplished within this time period. Additionally, P Downloaded from RNP particles (snRNPs) and additional proteins. Using live binding of U1 and U4/U6 snRNPs with pre-mRNA oc- cell imaging of GFP-tagged snRNP components expressed curred within seconds, indicating that the interaction of at endogenous levels, we examined how the spliceosome individual snRNPs with pre-mRNA is distinct. These results assembles in vivo. A comprehensive analysis of snRNP are consistent with the predictions of the step-wise model dynamics in the cell nucleus enabled us to determine of spliceosome assembly and provide an estimate on the snRNP diffusion throughout the nucleoplasm as well as rate of splicing in human cells. -
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. -
POLYADENYLATION REGULATION of U1A Mrna: CHARACTERIZING
STUDIES OF POLYADENYLATION REGULATION OF U1A mRNA BY AN RNP COMPLEX CONTAINING U1A AND U1 snRNP By ROSE MARIE CARATOZZOLO A dissertation submitted to the Graduate School – New Brunswick Rutgers, The State University of New Jersey and The Graduate School of Biomedical Sciences University of Medicine and Dentistry of New Jersey In partial fulfillment of the requirements for the degree of Doctor of Philosophy Graduate Program in Biochemistry Written under the direction of Samuel I. Gunderson, Ph.D., And approved by _____________________________ _____________________________ _____________________________ _____________________________ New Brunswick, New Jersey January, 2011 ABSTRACT OF THE DISSERTATION STUDIES OF POLYADENYLATION REGULATION OF U1A mRNA BY AN RNP COMPLEX CONTAINING U1A AND U1 snRNP By Rose Marie Caratozzolo Dissertation Director: Samuel I. Gunderson, Ph.D. The 3’-end processing of nearly all eukaryotic pre-mRNAs comprises multiple steps which culminate in the addition of a poly(A) tail, which is essential for mRNA stability, translation, and export. Consequently, polyadenylation regulation is an important component of gene expression. One way to regulate polyadenylation is to inhibit the activity of a single poly(A) site, as exemplified by the U1A protein that negatively autoregulates itself by binding to a Polyadenylation Inhibitory Element (PIE) site within the 3’ UTR of its own pre-mRNA. U1 snRNP, which is primarily involved in splice site recognition, inhibits poly(A) site activity in papillomaviruses by binding to 5’ splice site-like sequences, which have recently been named “U1-sites”. Here, a recently identified U1-site in the human U1A 3'UTR is examined and shown to synergize with the adjacent PIE site to inhibit polyadenylation. -
Targeted Cleavage and Polyadenylation of RNA by CRISPR-Cas13
bioRxiv preprint doi: https://doi.org/10.1101/531111; this version posted January 26, 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-ND 4.0 International license. Targeted Cleavage and Polyadenylation of RNA by CRISPR-Cas13 Kelly M. Anderson1,2, Pornthida Poosala1,2, Sean R. Lindley 1,2 and Douglas M. Anderson1,2,* 1Center for RNA Biology, 2Aab Cardiovascular Research Institute, University of Rochester School of Medicine and Dentistry, Rochester, New York, U.S.A., 14642 *Corresponding Author: Douglas M. Anderson: [email protected] Keywords: NUDT21, PspCas13b, PAS, CPSF, CFIm, Poly(A), SREBP1 1 bioRxiv preprint doi: https://doi.org/10.1101/531111; this version posted January 26, 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-ND 4.0 International license. Post-transcriptional cleavage and polyadenylation of messenger and long noncoding RNAs is coordinated by a supercomplex of ~20 individual proteins within the eukaryotic nucleus1,2. Polyadenylation plays an essential role in controlling RNA transcript stability, nuclear export, and translation efficiency3-6. More than half of all human RNA transcripts contain multiple polyadenylation signal sequences that can undergo alternative cleavage and polyadenylation during development and cellular differentiation7,8. Alternative cleavage and polyadenylation is an important mechanism for the control of gene expression and defects in 3’ end processing can give rise to myriad human diseases9,10. -
Widespread Mrna Polyadenylation Events in Introns Indicate Dynamic Interplay Between Polyadenylation and Splicing
Downloaded from genome.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Letter Widespread mRNA polyadenylation events in introns indicate dynamic interplay between polyadenylation and splicing Bin Tian,1 Zhenhua Pan, and Ju Youn Lee Department of Biochemistry and Molecular Biology, New Jersey Medical School, University of Medicine and Dentistry of New Jersey, Newark, New Jersey 07101, USA mRNA polyadenylation and pre-mRNA splicing are two essential steps for the maturation of most human mRNAs. Studies have shown that some genes generate mRNA variants involving both alternative polyadenylation and alternative splicing. Polyadenylation in introns can lead to conversion of an internal exon to a 3Ј terminal exon, which is termed composite terminal exon, or usage of a 3Ј terminal exon that is otherwise skipped, which is termed skipped terminal exon. Using cDNA/EST and genome sequences, we identified polyadenylation sites in introns for all currently known human genes. We found that ∼20% human genes have at least one intronic polyadenylation event that can potentially lead to mRNA variants, most of which encode different protein products. The conservation of human intronic poly(A) sites in mouse and rat genomes is lower than that of poly(A) sites in 3Ј-most exons. Quantitative analysis of a number of mRNA variants generated by intronic poly(A) sites suggests that the intronic polyadenylation activity can vary under different cellular conditions for most genes. Furthermore, we found that weak 5Ј splice site and large intron size are the determining factors controlling the usage of composite terminal exon poly(A) sites, whereas skipped terminal exon poly(A) sites tend to be associated with strong polyadenylation signals.