1
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Wu Q, Gu Z, Shang B, Wan D, Zhang Q, Zhang X, Xie P, Cheng S, Zhang W, Zhang K. Circulating tumor cell clustering modulates RNA splicing and polyadenylation to facilitate metastasis. Cancer Lett 2024; 588:216757. [PMID: 38417668 DOI: 10.1016/j.canlet.2024.216757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/07/2024] [Accepted: 02/20/2024] [Indexed: 03/01/2024]
Abstract
Circulating tumor cell (CTC) clusters exhibit significantly higher metastatic potential compared to single CTCs. However, the underlying mechanism behind this phenomenon remains unclear, and the role of posttranscriptional RNA regulation in CTC clusters has not been explored. Here, we conducted a comparative analysis of alternative splicing (AS) and alternative polyadenylation (APA) profiles between single CTCs and CTC clusters. We identified 994 and 836 AS events in single CTCs and CTC clusters, respectively, with ∼20% of AS events showing differential regulation between the two cell types. A key event in this differential splicing was observed in SRSF6, which disrupted AS profiles and contributed to the increased malignancy of CTC clusters. Regarding APA, we found a global lengthening of 3' UTRs in CTC clusters compared to single CTCs. This alteration was primarily governed by 14 core APA factors, particularly PPP1CA. The modified APA profiles facilitated the cell cycle progression of CTC clusters and indicated their reduced susceptibility to oxidative stress. Further investigation revealed that the proportion of H2AFY mRNA with long 3' UTR instead of short 3' UTR was higher in CTC clusters than single CTCs. The AU-rich elements (AREs) within the long 3' UTR of H2AFY mRNA enhance mRNA stability and translation activity, resulting in promoting cell proliferation and invasion, which potentially facilitate the establishment and rapid formation of metastatic tumors mediated by CTC clusters. These findings provide new insights into the mechanisms driving CTC cluster metastasis.
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Affiliation(s)
- Quanyou Wu
- Division of Abdominal Cancer, Department of Medical Oncology, Cancer Center and Laboratory of Molecular Targeted Therapy in Oncology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, China; State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zhaoru Gu
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Bingqing Shang
- Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Duo Wan
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Qi Zhang
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xiaoli Zhang
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Peipei Xie
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Shujun Cheng
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Wen Zhang
- Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Kaitai Zhang
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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Fanara S, Schloesser M, Joris M, De Franco S, Vandevenne M, Kerff F, Hanikenne M, Motte P. The Arabidopsis SR45 splicing factor bridges the splicing machinery and the exon-exon junction complex. J Exp Bot 2024; 75:2280-2298. [PMID: 38180875 DOI: 10.1093/jxb/erae002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/04/2024] [Indexed: 01/07/2024]
Abstract
The Arabidopsis splicing factor serine/arginine-rich 45 (SR45) contributes to several biological processes. The sr45-1 loss-of-function mutant exhibits delayed root development, late flowering, unusual numbers of floral organs, shorter siliques with decreased seed sets, narrower leaves and petals, and altered metal distribution. SR45 bears a unique RNA recognition motif (RRM) flanked by one serine/arginine-rich (RS) domain on both sides. Here, we studied the function of each SR45 domains by examining their involvement in: (i) the spatial distribution of SR45; (ii) the establishment of a protein-protein interaction network including spliceosomal and exon-exon junction complex (EJC) components; and (iii) the RNA binding specificity. We report that the endogenous SR45 promoter is active during vegetative and reproductive growth, and that the SR45 protein localizes in the nucleus. We demonstrate that the C-terminal arginine/serine-rich domain is a determinant of nuclear localization. We show that the SR45 RRM domain specifically binds purine-rich RNA motifs via three residues (H101, H141, and Y143), and is also involved in protein-protein interactions. We further show that SR45 bridges both mRNA splicing and surveillance machineries as a partner of EJC core components and peripheral factors, which requires phosphoresidues probably phosphorylated by kinases from both the CLK and SRPK families. Our findings provide insights into the contribution of each SR45 domain to both spliceosome and EJC assemblies.
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Affiliation(s)
- Steven Fanara
- InBioS-PhytoSystems, Functional Genomics and Plant Molecular Imaging, University of Liège, 4000, Liège, Belgium
| | - Marie Schloesser
- InBioS-PhytoSystems, Functional Genomics and Plant Molecular Imaging, University of Liège, 4000, Liège, Belgium
| | - Marine Joris
- InBioS-PhytoSystems, Functional Genomics and Plant Molecular Imaging, University of Liège, 4000, Liège, Belgium
| | - Simona De Franco
- InBioS-Center for Protein Engineering, Laboratory of Biological Macromolecules, University of Liège, 4000, Liège, Belgium
| | - Marylène Vandevenne
- InBioS-Center for Protein Engineering, Laboratory of Biological Macromolecules, University of Liège, 4000, Liège, Belgium
| | - Frédéric Kerff
- InBioS-Center for Protein Engineering, Laboratory of Crystallography, University of Liège, 4000, Liège, Belgium
| | - Marc Hanikenne
- InBioS-PhytoSystems, Translational Plant Biology, University of Liège, 4000, Liège, Belgium
| | - Patrick Motte
- InBioS-PhytoSystems, Functional Genomics and Plant Molecular Imaging, University of Liège, 4000, Liège, Belgium
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3
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Lewinski M, Steffen A, Kachariya N, Elgner M, Schmal C, Messini N, Köster T, Reichel M, Sattler M, Zarnack K, Staiger D. Arabidopsis thaliana GLYCINE RICH RNA-BINDING PROTEIN 7 interaction with its iCLIP target LHCB1.1 correlates with changes in RNA stability and circadian oscillation. Plant J 2024; 118:203-224. [PMID: 38124335 DOI: 10.1111/tpj.16601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 12/09/2023] [Indexed: 12/23/2023]
Abstract
The importance of RNA-binding proteins (RBPs) for plant responses to environmental stimuli and development is well documented. Insights into the portfolio of RNAs they recognize, however, clearly lack behind the understanding gathered in non-plant model organisms. Here, we characterize binding of the circadian clock-regulated Arabidopsis thaliana GLYCINE-RICH RNA-BINDING PROTEIN 7 (AtGRP7) to its target transcripts. We identified novel RNA targets from individual-nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP) data using an improved bioinformatics pipeline that will be broadly applicable to plant RBP iCLIP data. 2705 transcripts with binding sites were identified in plants expressing AtGRP7-GFP that were not recovered in plants expressing an RNA-binding dead variant or GFP alone. A conserved RNA motif enriched in uridine residues was identified at the AtGRP7 binding sites. NMR titrations confirmed the preference of AtGRP7 for RNAs with a central U-rich motif. Among the bound RNAs, circadian clock-regulated transcripts were overrepresented. Peak abundance of the LHCB1.1 transcript encoding a chlorophyll-binding protein was reduced in plants overexpressing AtGRP7 whereas it was elevated in atgrp7 mutants, indicating that LHCB1.1 was regulated by AtGRP7 in a dose-dependent manner. In plants overexpressing AtGRP7, the LHCB1.1 half-life was shorter compared to wild-type plants whereas in atgrp7 mutant plants, the half-life was significantly longer. Thus, AtGRP7 modulates circadian oscillations of its in vivo binding target LHCB1.1 by affecting RNA stability.
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Affiliation(s)
- Martin Lewinski
- RNA Biology and Molecular Physiology, Faculty of Biology, Bielefeld University, Bielefeld, Germany
| | - Alexander Steffen
- RNA Biology and Molecular Physiology, Faculty of Biology, Bielefeld University, Bielefeld, Germany
| | - Nitin Kachariya
- Helmholtz Munich, Molecular Targets and Therapeutics Center, Institute of Structural Biology, Neuherberg, 85764, Germany
- Department of Bioscience, Bavarian NMR Center, Technical University of Munich, TUM School of Natural Sciences, Garching, 85747, Germany
| | - Mareike Elgner
- RNA Biology and Molecular Physiology, Faculty of Biology, Bielefeld University, Bielefeld, Germany
| | - Christoph Schmal
- Institute for Theoretical Biology, Humboldt-Universität zu Berlin and Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Niki Messini
- Helmholtz Munich, Molecular Targets and Therapeutics Center, Institute of Structural Biology, Neuherberg, 85764, Germany
- Department of Bioscience, Bavarian NMR Center, Technical University of Munich, TUM School of Natural Sciences, Garching, 85747, Germany
| | - Tino Köster
- RNA Biology and Molecular Physiology, Faculty of Biology, Bielefeld University, Bielefeld, Germany
| | - Marlene Reichel
- RNA Biology and Molecular Physiology, Faculty of Biology, Bielefeld University, Bielefeld, Germany
| | - Michael Sattler
- Helmholtz Munich, Molecular Targets and Therapeutics Center, Institute of Structural Biology, Neuherberg, 85764, Germany
- Department of Bioscience, Bavarian NMR Center, Technical University of Munich, TUM School of Natural Sciences, Garching, 85747, Germany
| | - Kathi Zarnack
- Buchmann Institute for Molecular Life Sciences (BMLS) & Institute of Molecular Biosciences, Goethe University Frankfurt, Frankfurt, Germany
| | - Dorothee Staiger
- RNA Biology and Molecular Physiology, Faculty of Biology, Bielefeld University, Bielefeld, Germany
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4
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McKeever PM, Sababi AM, Sharma R, Khuu N, Xu Z, Shen SY, Xiao S, McGoldrick P, Orouji E, Ketela T, Sato C, Moreno D, Visanji N, Kovacs GG, Keith J, Zinman L, Rogaeva E, Goodarzi H, Bader GD, Robertson J. Single-nucleus multiomic atlas of frontal cortex in amyotrophic lateral sclerosis with a deep learning-based decoding of alternative polyadenylation mechanisms. bioRxiv 2023:2023.12.22.573083. [PMID: 38187588 PMCID: PMC10769403 DOI: 10.1101/2023.12.22.573083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
The understanding of how different cell types contribute to amyotrophic lateral sclerosis (ALS) pathogenesis is limited. Here we generated a single-nucleus transcriptomic and epigenomic atlas of the frontal cortex of ALS cases with C9orf72 (C9) hexanucleotide repeat expansions and sporadic ALS (sALS). Our findings reveal shared pathways in C9-ALS and sALS, characterized by synaptic dysfunction in excitatory neurons and a disease-associated state in microglia. The disease subtypes diverge with loss of astrocyte homeostasis in C9-ALS, and a more substantial disturbance of inhibitory neurons in sALS. Leveraging high depth 3'-end sequencing, we found a widespread switch towards distal polyadenylation (PA) site usage across ALS subtypes relative to controls. To explore this differential alternative PA (APA), we developed APA-Net, a deep neural network model that uses transcript sequence and expression levels of RNA-binding proteins (RBPs) to predict cell-type specific APA usage and RBP interactions likely to regulate APA across disease subtypes.
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5
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Bryce-Smith S, Burri D, Gazzara MR, Herrmann CJ, Danecka W, Fitzsimmons CM, Wan YK, Zhuang F, Fansler MM, Fernández JM, Ferret M, Gonzalez-Uriarte A, Haynes S, Herdman C, Kanitz A, Katsantoni M, Marini F, McDonnel E, Nicolet B, Poon CL, Rot G, Schärfen L, Wu PJ, Yoon Y, Barash Y, Zavolan M. Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data. RNA 2023; 29:1839-1855. [PMID: 37816550 PMCID: PMC10653393 DOI: 10.1261/rna.079849.123] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 09/21/2023] [Indexed: 10/12/2023]
Abstract
The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, limitations, and consequently, of the efficacy and precision with which they solve specific tasks. Therefore, there is an increasing need for benchmarks, and for the provision of infrastructure for continuous method evaluation. APAeval is an international community effort, organized by the RNA Society in 2021, to benchmark tools for the identification and quantification of the usage of alternative polyadenylation (APA) sites from short-read, bulk RNA-sequencing (RNA-seq) data. Here, we reviewed 17 tools and benchmarked eight on their ability to perform APA identification and quantification, using a comprehensive set of RNA-seq experiments comprising real, synthetic, and matched 3'-end sequencing data. To support continuous benchmarking, we have incorporated the results into the OpenEBench online platform, which allows for continuous extension of the set of methods, metrics, and challenges. We envisage that our analyses will assist researchers in selecting the appropriate tools for their studies, while the containers and reproducible workflows could easily be deployed and extended to evaluate new methods or data sets.
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Affiliation(s)
- Sam Bryce-Smith
- Department of Neuromuscular Diseases, UCL Queen Square Motor Neuron Disease Centre, UCL Queen Square Institute of Neurology, UCL, London WC1N 3BG, United Kingdom
| | - Dominik Burri
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Matthew R Gazzara
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Christina J Herrmann
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Weronika Danecka
- Institute for Cell Biology, School of Biological Sciences, The University of Edinburgh, Edinburgh EH9 3FF, United Kingdom
| | - Christina M Fitzsimmons
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Yuk Kei Wan
- Genome Institute of Singapore, Buona Vista, Singapore 138672
- Yong Loo Lin School of Medicine, National University of Singapore, Kent Ridge, Singapore 119228
| | - Farica Zhuang
- Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Mervin M Fansler
- Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell Graduate Studies, New York, New York 10065, USA
- Cancer Biology and Genetics, Sloan-Kettering Institute, MSKCC, New York, New York 10065, USA
| | - José M Fernández
- Life Sciences Department, Barcelona Supercomputing Center, 08034 Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES), 28029 Madrid, Spain
| | - Meritxell Ferret
- Life Sciences Department, Barcelona Supercomputing Center, 08034 Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES), 28029 Madrid, Spain
| | - Asier Gonzalez-Uriarte
- Life Sciences Department, Barcelona Supercomputing Center, 08034 Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES), 28029 Madrid, Spain
| | - Samuel Haynes
- Institute for Cell Biology, School of Biological Sciences, The University of Edinburgh, Edinburgh EH9 3FF, United Kingdom
| | - Chelsea Herdman
- Department of Neurobiology, University of Utah, Salt Lake City, Utah 84132, USA
| | - Alexander Kanitz
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Maria Katsantoni
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Federico Marini
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, 55118 Mainz, Germany
| | - Euan McDonnel
- Leeds Institute for Data Analytics, School of Molecular and Cellular Biology, University of Leeds, Leeds LS2 9NL, United Kingdom
| | - Ben Nicolet
- Department of Hematopoiesis, Sanquin Research, Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, 1066 CX Amsterdam, The Netherlands
- Oncode Institute, 3521 AL Utrecht, The Netherlands
| | - Chi-Lam Poon
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, New York 10065, USA
| | - Gregor Rot
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland
| | - Leonard Schärfen
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, Connecticut 06520, USA
| | - Pin-Jou Wu
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, 72076 Tübingen, Germany
| | - Yoseop Yoon
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California Irvine, Irvine, California 92617, USA
| | - Yoseph Barash
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
- Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Mihaela Zavolan
- Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
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Yu P, Song S, Zhang X, Cui S, Wei G, Huang Z, Zeng L, Ni T, Sun A. Downregulation of apoptotic repressor AVEN exacerbates cardiac injury after myocardial infarction. Proc Natl Acad Sci U S A 2023; 120:e2302482120. [PMID: 37816050 PMCID: PMC10589712 DOI: 10.1073/pnas.2302482120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 09/06/2023] [Indexed: 10/12/2023] Open
Abstract
Myocardial infarction (MI) is a leading cause of heart failure (HF), associated with morbidity and mortality worldwide. As an essential part of gene expression regulation, the role of alternative polyadenylation (APA) in post-MI HF remains elusive. Here, we revealed a global, APA-mediated, 3' untranslated region (3' UTR)-lengthening pattern in both human and murine post-MI HF samples. Furthermore, the 3' UTR of apoptotic repressor gene, AVEN, is lengthened after MI, contributing to its downregulation. AVEN knockdown increased cardiomyocyte apoptosis, whereas restoration of AVEN expression substantially improved cardiac function. Mechanistically, AVEN 3' UTR lengthening provides additional binding sites for miR-30b-5p and miR-30c-5p, thus reducing AVEN expression. Additionally, PABPN1 (poly(A)-binding protein 1) was identified as a potential regulator of AVEN 3' UTR lengthening after MI. Altogether, our findings revealed APA as a unique mechanism regulating cardiac injury in response to MI and also indicated that the APA-regulated gene, AVEN, holds great potential as a critical therapeutic target for treating post-MI HF.
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Affiliation(s)
- Peng Yu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
| | - Shuai Song
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
| | - Xiaokai Zhang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
| | - Shujun Cui
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
| | - Gang Wei
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
| | - Zihang Huang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
| | - Linqi Zeng
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
| | - Ting Ni
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai200040, China
- State key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institutes of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot010021, China
- Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai201203, China
| | - Aijun Sun
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
- Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai201203, China
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7
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Zhang Z, Bae B, Cuddleston WH, Miura P. Coordination of alternative splicing and alternative polyadenylation revealed by targeted long read sequencing. Nat Commun 2023; 14:5506. [PMID: 37679364 PMCID: PMC10484994 DOI: 10.1038/s41467-023-41207-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 08/25/2023] [Indexed: 09/09/2023] Open
Abstract
Nervous system development is associated with extensive regulation of alternative splicing (AS) and alternative polyadenylation (APA). AS and APA have been extensively studied in isolation, but little is known about how these processes are coordinated. Here, the coordination of cassette exon (CE) splicing and APA in Drosophila was investigated using a targeted long-read sequencing approach we call Pull-a-Long-Seq (PL-Seq). This cost-effective method uses cDNA pulldown and Nanopore sequencing combined with an analysis pipeline to quantify inclusion of alternative exons in connection with alternative 3' ends. Using PL-Seq, we identified genes that exhibit significant differences in CE splicing depending on connectivity to short versus long 3'UTRs. Genomic long 3'UTR deletion was found to alter upstream CE splicing in short 3'UTR isoforms and ELAV loss differentially affected CE splicing depending on connectivity to alternative 3'UTRs. This work highlights the importance of considering connectivity to alternative 3'UTRs when monitoring AS events.
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Affiliation(s)
- Zhiping Zhang
- Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
- Department of Biology, University of Nevada, Reno, Reno, NV, USA
| | - Bongmin Bae
- Department of Biology, University of Nevada, Reno, Reno, NV, USA
| | | | - Pedro Miura
- Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
- Department of Biology, University of Nevada, Reno, Reno, NV, USA.
- Institute for System Genomics, University of Connecticut, Storrs, CT, USA.
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8
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Li D, Yu W, Lai M. Towards understandings of serine/arginine-rich splicing factors. Acta Pharm Sin B 2023; 13:3181-3207. [PMID: 37655328 PMCID: PMC10465970 DOI: 10.1016/j.apsb.2023.05.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 04/13/2023] [Accepted: 05/06/2023] [Indexed: 09/02/2023] Open
Abstract
Serine/arginine-rich splicing factors (SRSFs) refer to twelve RNA-binding proteins which regulate splice site recognition and spliceosome assembly during precursor messenger RNA splicing. SRSFs also participate in other RNA metabolic events, such as transcription, translation and nonsense-mediated decay, during their shuttling between nucleus and cytoplasm, making them indispensable for genome diversity and cellular activity. Of note, aberrant SRSF expression and/or mutations elicit fallacies in gene splicing, leading to the generation of pathogenic gene and protein isoforms, which highlights the therapeutic potential of targeting SRSF to treat diseases. In this review, we updated current understanding of SRSF structures and functions in RNA metabolism. Next, we analyzed SRSF-induced aberrant gene expression and their pathogenic outcomes in cancers and non-tumor diseases. The development of some well-characterized SRSF inhibitors was discussed in detail. We hope this review will contribute to future studies of SRSF functions and drug development targeting SRSFs.
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Affiliation(s)
- Dianyang Li
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 210009, China
| | - Wenying Yu
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
| | - Maode Lai
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 210009, China
- Department of Pathology, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Science (2019RU042), Key Laboratory of Disease Proteomics of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, China
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9
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Lyons LC, Vanrobaeys Y, Abel T. Sleep and memory: The impact of sleep deprivation on transcription, translational control, and protein synthesis in the brain. J Neurochem 2023; 166:24-46. [PMID: 36802068 PMCID: PMC10919414 DOI: 10.1111/jnc.15787] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 02/20/2023]
Abstract
In countries around the world, sleep deprivation represents a widespread problem affecting school-age children, teenagers, and adults. Acute sleep deprivation and more chronic sleep restriction adversely affect individual health, impairing memory and cognitive performance as well as increasing the risk and progression of numerous diseases. In mammals, the hippocampus and hippocampus-dependent memory are vulnerable to the effects of acute sleep deprivation. Sleep deprivation induces changes in molecular signaling, gene expression and may cause changes in dendritic structure in neurons. Genome wide studies have shown that acute sleep deprivation alters gene transcription, although the pool of genes affected varies between brain regions. More recently, advances in research have drawn attention to differences in gene regulation between the level of the transcriptome compared with the pool of mRNA associated with ribosomes for protein translation following sleep deprivation. Thus, in addition to transcriptional changes, sleep deprivation also affects downstream processes to alter protein translation. In this review, we focus on the multiple levels through which acute sleep deprivation impacts gene regulation, highlighting potential post-transcriptional and translational processes that may be affected by sleep deprivation. Understanding the multiple levels of gene regulation impacted by sleep deprivation is essential for future development of therapeutics that may mitigate the effects of sleep loss.
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Affiliation(s)
- Lisa C Lyons
- Program in Neuroscience, Department of Biological Science, Florida State University, Tallahassee, Florida, USA
| | - Yann Vanrobaeys
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
- Iowa Neuroscience Institute, Iowa City, Iowa, USA
- Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, Iowa, USA
| | - Ted Abel
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
- Iowa Neuroscience Institute, Iowa City, Iowa, USA
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10
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Bryce-Smith S, Burri D, Gazzara MR, Herrmann CJ, Danecka W, Fitzsimmons CM, Wan YK, Zhuang F, Fansler MM, Fernández JM, Ferret M, Gonzalez-Uriarte A, Haynes S, Herdman C, Kanitz A, Katsantoni M, Marini F, McDonnel E, Nicolet B, Poon CL, Rot G, Schärfen L, Wu PJ, Yoon Y, Barash Y, Zavolan M. Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data. bioRxiv 2023:2023.06.23.546284. [PMID: 37425672 PMCID: PMC10327023 DOI: 10.1101/2023.06.23.546284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, and limitations and consequently, of the efficacy and precision with which they solve specific tasks. Therefore, there is an increasing need for benchmarks, and for the provision of infrastructure for continuous method evaluation. APAeval is an international community effort, organized by the RNA Society in 2021, to benchmark tools for the identification and quantification of the usage of alternative polyadenylation (APA) sites from short-read, bulk RNA-sequencing (RNA-seq) data. Here, we reviewed 17 tools and benchmarked eight on their ability to perform APA identification and quantification, using a comprehensive set of RNA-seq experiments comprising real, synthetic, and matched 3'-end sequencing data. To support continuous benchmarking, we have incorporated the results into the OpenEBench online platform, which allows for seamless extension of the set of methods, metrics, and challenges. We envisage that our analyses will assist researchers in selecting the appropriate tools for their studies. Furthermore, the containers and reproducible workflows generated in the course of this project can be seamlessly deployed and extended in the future to evaluate new methods or datasets.
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Affiliation(s)
- Sam Bryce-Smith
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Dominik Burri
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Matthew R. Gazzara
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Christina J. Herrmann
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Weronika Danecka
- Institute for Cell Biology, School of Biological Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | - Christina M. Fitzsimmons
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Yuk Kei Wan
- Genome Institute of Singapore, Buona Vista, Singapore
- National University of Singapore, Kent Ridge, Singapore
| | - Farica Zhuang
- Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, USA
| | - Mervin M. Fansler
- Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell GraduateStudies, New York, NY, USA
- Cancer Biology and Genetics, Sloan-Kettering Institute, MSKCC, New York, NY, USA
| | - José M. Fernández
- Barcelona Supercomputing Center, Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES)
| | - Meritxell Ferret
- Barcelona Supercomputing Center, Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES)
| | - Asier Gonzalez-Uriarte
- Barcelona Supercomputing Center, Barcelona, Spain
- Spanish National Bioinformatics Institute (INB/ELIXIR-ES)
| | - Samuel Haynes
- Institute for Cell Biology, School of Biological Sciences, The University of Edinburgh, Edinburgh, United Kingdom
| | | | - Alexander Kanitz
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Maria Katsantoni
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Federico Marini
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI) - UniversityMedical Center of the Johannes Gutenberg, University Mainz, Germany
| | - Euan McDonnel
- Leeds Institute for Data Analytics, School of Molecular and Cellular Biology, University of Leeds, United Kingdom
| | - Ben Nicolet
- Department of Hematopoiesis, Sanquin Research, Landsteiner Laboratory, AmsterdamUMC, University of Amsterdam, and Oncode Institute, Amsterdam, The Netherlands
| | | | - Gregor Rot
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Molecular Life Sciences, Zurich, Switzerland
| | - Leonard Schärfen
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven CT, USA
| | - Pin-Jou Wu
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Germany
| | - Yoseop Yoon
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California Irvine, Irvine, California, USA
| | - Yoseph Barash
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
- Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, USA
| | - Mihaela Zavolan
- Biozentrum, University of Basel, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
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11
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Cao J, Kuyumcu-Martinez MN. Alternative polyadenylation regulation in cardiac development and cardiovascular disease. Cardiovasc Res 2023; 119:1324-1335. [PMID: 36657944 PMCID: PMC10262186 DOI: 10.1093/cvr/cvad014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/01/2022] [Accepted: 11/28/2022] [Indexed: 01/21/2023] Open
Abstract
Cleavage and polyadenylation of pre-mRNAs is a necessary step for gene expression and function. Majority of human genes exhibit multiple polyadenylation sites, which can be alternatively used to generate different mRNA isoforms from a single gene. Alternative polyadenylation (APA) of pre-mRNAs is important for the proteome and transcriptome landscape. APA is tightly regulated during development and contributes to tissue-specific gene regulation. Mis-regulation of APA is linked to a wide range of pathological conditions. APA-mediated gene regulation in the heart is emerging as a new area of research. Here, we will discuss the impact of APA on gene regulation during heart development and in cardiovascular diseases. First, we will briefly review how APA impacts gene regulation and discuss molecular mechanisms that control APA. Then, we will address APA regulation during heart development and its dysregulation in cardiovascular diseases. Finally, we will discuss pre-mRNA targeting strategies to correct aberrant APA patterns of essential genes for the treatment or prevention of cardiovascular diseases. The RNA field is blooming due to advancements in RNA-based technologies. RNA-based vaccines and therapies are becoming the new line of effective and safe approaches for the treatment and prevention of human diseases. Overall, this review will be influential for understanding gene regulation at the RNA level via APA in the heart and will help design RNA-based tools for the treatment of cardiovascular diseases in the future.
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Affiliation(s)
- Jun Cao
- Faculty of Environment and Life, Beijing University of Technology, Xueyuan Road, Haidian District, Beijing 100124, PR China
| | - Muge N Kuyumcu-Martinez
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77573, USA
- Department of Neurobiology, University of Texas Medical Branch, Galveston, TX 77555, USA
- Institute for Translational Sciences, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77573, USA
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12
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Abstract
Serine/arginine rich splicing factor 3 (SRSF3) is an important multi-functional splicing factor, and has attracted increasing attentions in the past thirty years. The importance of SRSF3 is evidenced by its impressively conserved protein sequences in all animals and alternative exon 4 which represents an autoregulatory mechanism to maintain its proper cellular expression level. New functions of SRSF3 have been continuously discovered recently, especially its oncogenic function. SRSF3 plays essential roles in many cellular processes by regulating almost all aspects of RNA biogenesis and processing of many target genes, and thus, contributes to tumorigenesis when overexpressed or disregulated. This review updates and highlights the gene, mRNA, and protein structure of SRSF3, the regulatory mechanisms of SRSF3 expression, and the characteristics of SRSF3 targets and binding sequences that contribute to SRSF3's diverse molecular and cellular functions in tumorigenesis and human diseases.
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Affiliation(s)
- Rong Jia
- The State Key Laboratory Breeding Base of Basic Science of Stomatology & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, Hubei, China
| | - Zhi-Ming Zheng
- Tumor Virus RNA Biology Section, HIV Dynamics and Replication Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland, USA
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13
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Liu L, Yu AM, Wang X, Soles LV, Chen Y, Yoon Y, Sarkan KSK, Valdez MC, Linder J, Marazzi I, Yu Z, Qiao F, Li W, Seelig G, Shi Y. The anti-cancer compound JTE-607 reveals hidden sequence specificity of the mRNA 3' processing machinery. bioRxiv 2023:2023.04.11.536453. [PMID: 37090613 PMCID: PMC10120630 DOI: 10.1101/2023.04.11.536453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
JTE-607 is a small molecule compound with anti-inflammation and anti-cancer activities. Upon entering the cell, it is hydrolyzed to Compound 2, which directly binds to and inhibits CPSF73, the endonuclease for the cleavage step in pre-mRNA 3' processing. Although CPSF73 is universally required for mRNA 3' end formation, we have unexpectedly found that Compound 2- mediated inhibition of pre-mRNA 3' processing is sequence-specific and that the sequences flanking the cleavage site (CS) are a major determinant for drug sensitivity. By using massively parallel in vitro assays, we have measured the Compound 2 sensitivities of over 260,000 sequence variants and identified key sequence features that determine drug sensitivity. A machine learning model trained on these data can predict the impact of JTE-607 on poly(A) site (PAS) selection and transcription termination genome-wide. We propose a biochemical model in which CPSF73 and other mRNA 3' processing factors bind to RNA of the CS region in a sequence-specific manner and the affinity of such interaction determines the Compound 2 sensitivity of a PAS. As the Compound 2-resistant CS sequences, characterized by U/A-rich motifs, are prevalent in PASs from yeast to human, the CS region sequence may have more fundamental functions beyond determining drug resistance. Together, our study not only characterized the mechanism of action of a compound with clinical implications, but also revealed a previously unknown and evolutionarily conserved sequence-specificity of the mRNA 3' processing machinery.
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14
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Le MN, Nguyen TD, Nguyen TA. SRSF7 and SRSF3 depend on RNA sequencing motifs and secondary structures to regulate Microprocessor. Life Sci Alliance 2023; 6:e202201779. [PMID: 36750366 PMCID: PMC9905709 DOI: 10.26508/lsa.202201779] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/09/2023] Open
Abstract
Human Microprocessor cleaves pri-miRNAs to initiate miRNA biogenesis. The accuracy and efficiency of Microprocessor cleavage ensure appropriate miRNA sequence and expression and thus its proper gene regulation. However, Microprocessor cleaves many pri-miRNAs incorrectly, so it requires assistance from many cofactors. For example, SRSF3 enhances Microprocessor cleavage by interacting with the CNNC motif in pri-miRNAs. However, whether SRSF3 can function with other motifs and/or requires the motifs in a certain secondary structure is unknown. In addition, the function of SRSF7 (a paralog of SRSF3) in miRNA biogenesis still needs to be discovered. Here, we demonstrated that SRSF7 could stimulate Microprocessor cleavage. In addition, by conducting high-throughput pri-miRNA cleavage assays for Microprocessor and SRSF7 or SRSF3, we demonstrated that SRSF7 and SRSF3 function with the CRC and CNNC motifs, adopting certain secondary structures. In addition, SRSF7 and SRSF3 affect the Microprocessor cleavage sites in human cells. Our findings demonstrate the roles of SRSF7 in miRNA biogenesis and provide a comprehensive view of the molecular mechanism of SRSF7 and SRSF3 in enhancing Microprocessor cleavage.
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Affiliation(s)
- Minh Ngoc Le
- Division of Life Science, The Hong Kong University of Science & Technology, Hong Kong, China
| | - Trung Duc Nguyen
- Division of Life Science, The Hong Kong University of Science & Technology, Hong Kong, China
| | - Tuan Anh Nguyen
- Division of Life Science, The Hong Kong University of Science & Technology, Hong Kong, China
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15
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Kowalski MH, Wessels HH, Linder J, Choudhary S, Hartman A, Hao Y, Mascio I, Dalgarno C, Kundaje A, Satija R. CPA-Perturb-seq: Multiplexed single-cell characterization of alternative polyadenylation regulators. bioRxiv 2023:2023.02.09.527751. [PMID: 36798324 PMCID: PMC9934614 DOI: 10.1101/2023.02.09.527751] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Most mammalian genes have multiple polyA sites, representing a substantial source of transcript diversity that is governed by the cleavage and polyadenylation (CPA) regulatory machinery. To better understand how these proteins govern polyA site choice we introduce CPA-Perturb-seq, a multiplexed perturbation screen dataset of 42 known CPA regulators with a 3' scRNA-seq readout that enables transcriptome-wide inference of polyA site usage. We develop a statistical framework to specifically identify perturbation-dependent changes in intronic and tandem polyadenylation, and discover modules of co-regulated polyA sites exhibiting distinct functional properties. By training a multi-task deep neural network (APARENT-Perturb) on our dataset, we delineate a cis-regulatory code that predicts responsiveness to perturbation and reveals interactions between distinct regulatory complexes. Finally, we leverage our framework to re-analyze published scRNA-seq datasets, identifying new regulators that affect the relative abundance of alternatively polyadenylated transcripts, and characterizing extensive cellular heterogeneity in 3' UTR length amongst antibody-producing cells. Our work highlights the potential for multiplexed single-cell perturbation screens to further our understanding of post-transcriptional regulation in vitro and in vivo.
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Affiliation(s)
- Madeline H. Kowalski
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- New York University Grossman School of Medicine, New York, NY, USA
| | - Hans-Hermann Wessels
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | - Johannes Linder
- Department of Genetics, Stanford University, Stanford USA
- Department of Computer Science, Stanford University, Stanford USA
| | - Saket Choudhary
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | | | - Yuhan Hao
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | - Isabella Mascio
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | | | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford USA
- Department of Computer Science, Stanford University, Stanford USA
| | - Rahul Satija
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- New York University Grossman School of Medicine, New York, NY, USA
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16
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Wen H, Chen W, Chen Y, Wei G, Ni T. Integrative analysis of Iso-Seq and RNA-seq reveals dynamic changes of alternative promoter, alternative splicing and alternative polyadenylation during Angiotensin II-induced senescence in rat primary aortic endothelial cells. Front Genet 2023; 14:1064624. [PMID: 36741323 PMCID: PMC9892061 DOI: 10.3389/fgene.2023.1064624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/10/2023] [Indexed: 01/21/2023] Open
Abstract
In eukaryotes, alternative promoter (AP), alternative splicing (AS), and alternative polyadenylation (APA) are three crucial regulatory mechanisms that modulate message RNA (mRNA) diversity. Although AP, AS and APA are involved in diverse biological processess, whether they have dynamic changes in Angiotensin II (Ang II) induced senescence in rat primary aortic endothelial cells (RAECs), an important cellular model for studying cardiovascular disease, remains unclear. Here we integrated both PacBio single-molecule long-read isoform sequencing (Iso-Seq) and Illumina short-read RNA sequencing (RNA-seq) to analyze the changes of AP, AS and APA in Ang II-induced senescent RAECs. Iso-Seq generated 36,278 isoforms from 10,145 gene loci and 65.81% of these isoforms are novel, which were further cross-validated by public data obtained by other techonologies such as CAGE, PolyA-Seq and 3'READS. APA contributed most to novel isoforms, followed by AS and AP. Further investigation showed that AP, AS and APA could all contribute to the regulation of isoform, but AS has more dynamic changes compared to AP and APA upon Ang II stimulation. Genes undergoing AP, AS and APA in Ang II-treated cells are enriched in various pathways related to aging or senescence, suggesting that these molecular changes are involved in functional alterations during Ang II-induced senescence. Together, the present study largely improved the annotation of rat genome and revealed gene expression changes at isoform level, extending the understanding of the complexity of gene regulation in Ang II-treated RAECs, and also provided novel clues for discovering the regulatory mechanism undelying Ang II caused vascular senescence and diseases.
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Affiliation(s)
- Haimei Wen
- Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China,Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Wei Chen
- Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Yu Chen
- Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Gang Wei
- Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China,Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China,*Correspondence: Ting Ni, ; Gang Wei,
| | - Ting Ni
- Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China,*Correspondence: Ting Ni, ; Gang Wei,
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17
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Abstract
Alternative cleavage and polyadenylation (APA) is a widespread mechanism to generate mRNA isoforms with alternative 3' untranslated regions (UTRs). The expression of alternative 3' UTR isoforms is highly cell type specific and is further controlled in a gene-specific manner by environmental cues. In this Review, we discuss how the dynamic, fine-grained regulation of APA is accomplished by several mechanisms, including cis-regulatory elements in RNA and DNA and factors that control transcription, pre-mRNA cleavage and post-transcriptional processes. Furthermore, signalling pathways modulate the activity of these factors and integrate APA into gene regulatory programmes. Dysregulation of APA can reprogramme the outcome of signalling pathways and thus can control cellular responses to environmental changes. In addition to the regulation of protein abundance, APA has emerged as a major regulator of mRNA localization and the spatial organization of protein synthesis. This role enables the regulation of protein function through the addition of post-translational modifications or the formation of protein-protein interactions. We further discuss recent transformative advances in single-cell RNA sequencing and CRISPR-Cas technologies, which enable the mapping and functional characterization of alternative 3' UTRs in any biological context. Finally, we discuss new APA-based RNA therapeutics, including compounds that target APA in cancer and therapeutic genome editing of degenerative diseases.
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Affiliation(s)
- Sibylle Mitschka
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christine Mayr
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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18
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Pieraccioli M, Caggiano C, Mignini L, Zhong C, Babini G, Lattanzio R, Di Stasi S, Tian B, Sette C, Bielli P. The transcriptional terminator XRN2 and the RNA-binding protein Sam68 link alternative polyadenylation to cell cycle progression in prostate cancer. Nat Struct Mol Biol 2022; 29:1101-1112. [PMID: 36344846 PMCID: PMC9872553 DOI: 10.1038/s41594-022-00853-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 09/27/2022] [Indexed: 11/09/2022]
Abstract
Alternative polyadenylation (APA) yields transcripts differing in their 3'-end, and its regulation is altered in cancer, including prostate cancer. Here we have uncovered a mechanism of APA regulation impinging on the interaction between the exonuclease XRN2 and the RNA-binding protein Sam68, whose increased expression in prostate cancer is promoted by the transcription factor MYC. Genome-wide transcriptome profiling revealed a widespread impact of the Sam68/XRN2 complex on APA. XRN2 promotes recruitment of Sam68 to its target transcripts, where it competes with the cleavage and polyadenylation specificity factor for binding to strong polyadenylation signals at distal ends of genes, thus promoting usage of suboptimal proximal polyadenylation signals. This mechanism leads to 3' untranslated region shortening and translation of transcripts encoding proteins involved in G1/S progression and proliferation. Thus, our findings indicate that the APA program driven by Sam68/XRN2 promotes cell cycle progression and may represent an actionable target for therapeutic intervention.
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Affiliation(s)
- Marco Pieraccioli
- Department of Neuroscience, Section of Human Anatomy, Catholic University of the Sacred Hearth, Rome, Italy.,GSTEP-Organoids Core Facility, Fondazione Policlinico Agostino Gemelli IRCCS, Rome, Italy
| | - Cinzia Caggiano
- Department of Neuroscience, Section of Human Anatomy, Catholic University of the Sacred Hearth, Rome, Italy.,GSTEP-Organoids Core Facility, Fondazione Policlinico Agostino Gemelli IRCCS, Rome, Italy
| | - Luca Mignini
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Chuwei Zhong
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA, USA
| | - Gabriele Babini
- GSTEP-Organoids Core Facility, Fondazione Policlinico Agostino Gemelli IRCCS, Rome, Italy
| | - Rossano Lattanzio
- Department of Innovative Technologies in Medicine & Dentistry, G. d’Annunzio University, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), G. d’Annunzio University, Chieti, Italy
| | - Savino Di Stasi
- Department of Experimental Medicine and Surgery, University of Rome Tor Vergata, Rome, Italy
| | - Bin Tian
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA, USA
| | - Claudio Sette
- Department of Neuroscience, Section of Human Anatomy, Catholic University of the Sacred Hearth, Rome, Italy. .,GSTEP-Organoids Core Facility, Fondazione Policlinico Agostino Gemelli IRCCS, Rome, Italy.
| | - Pamela Bielli
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy. .,Laboratory of Neuroembryology, IRCCS Fondazione Santa Lucia, Rome, Italy.
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19
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Tseng HW, Mota-Sydor A, Leventis R, Jovanovic P, Topisirovic I, Duchaine T. Distinct, opposing functions for CFIm59 and CFIm68 in mRNA alternative polyadenylation of Pten and in the PI3K/Akt signalling cascade. Nucleic Acids Res 2022; 50:9397-9412. [PMID: 35993810 PMCID: PMC9458458 DOI: 10.1093/nar/gkac704] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 07/29/2022] [Accepted: 08/18/2022] [Indexed: 12/24/2022] Open
Abstract
Precise maintenance of PTEN dosage is crucial for tumor suppression across a wide variety of cancers. Post-transcriptional regulation of Pten heavily relies on regulatory elements encoded by its 3'UTR. We previously reported the important diversity of 3'UTR isoforms of Pten mRNAs produced through alternative polyadenylation (APA). Here, we reveal the direct regulation of Pten APA by the mammalian cleavage factor I (CFIm) complex, which in turn contributes to PTEN protein dosage. CFIm consists of the UGUA-binding CFIm25 and APA regulatory subunits CFIm59 or CFIm68. Deep sequencing analyses of perturbed (KO and KD) cell lines uncovered the differential regulation of Pten APA by CFIm59 and CFIm68 and further revealed that their divergent functions have widespread impact for APA in transcriptomes. Differentially regulated genes include numerous factors within the phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) signalling pathway that PTEN counter-regulates. We further reveal a stratification of APA dysregulation among a subset of PTEN-driven cancers, with recurrent alterations among PI3K/Akt pathway genes regulated by CFIm. Our results refine the transcriptome selectivity of the CFIm complex in APA regulation, and the breadth of its impact in PTEN-driven cancers.
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Affiliation(s)
- Hsin-Wei Tseng
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal H3G 1Y6, Canada,Department of Biochemistry, McGill University, Montréal,H3G 1Y6, Canada
| | - Anthony Mota-Sydor
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal H3G 1Y6, Canada,Department of Biochemistry, McGill University, Montréal,H3G 1Y6, Canada
| | - Rania Leventis
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal H3G 1Y6, Canada,Department of Biochemistry, McGill University, Montréal,H3G 1Y6, Canada
| | - Predrag Jovanovic
- Lady Davis Institute for Medical Research, Montréal H3T 1E2, Canada,Department of Medicine, Division of Experimental Medicine, McGill University, Montréal H4A 3J1, Canada
| | - Ivan Topisirovic
- Department of Biochemistry, McGill University, Montréal,H3G 1Y6, Canada,Lady Davis Institute for Medical Research, Montréal H3T 1E2, Canada,Gerald Bronfman Department of Oncology, McGill University, Montréal H4A 3T2, Canada,Department of Medicine, Division of Experimental Medicine, McGill University, Montréal H4A 3J1, Canada
| | - Thomas F Duchaine
- To whom correspondence should be addressed. Tel: +1 514 918 0639; Fax: +1 514 398 6769;
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20
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Jobbins AM, Haberman N, Artigas N, Amourda C, Paterson HAB, Yu S, Blackford SJI, Montoya A, Dore M, Wang YF, Sardini A, Cebola I, Zuber J, Rashid ST, Lenhard B, Vernia S. Dysregulated RNA polyadenylation contributes to metabolic impairment in non-alcoholic fatty liver disease. Nucleic Acids Res 2022; 50:3379-3393. [PMID: 35293570 PMCID: PMC8989518 DOI: 10.1093/nar/gkac165] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 02/16/2022] [Accepted: 03/09/2022] [Indexed: 11/19/2022] Open
Abstract
Pre-mRNA processing is an essential mechanism for the generation of mature mRNA and the regulation of gene expression in eukaryotic cells. While defects in pre-mRNA processing have been implicated in a number of diseases their involvement in metabolic pathologies is still unclear. Here, we show that both alternative splicing and alternative polyadenylation, two major steps in pre-mRNA processing, are significantly altered in non-alcoholic fatty liver disease (NAFLD). Moreover, we find that Serine and Arginine Rich Splicing Factor 10 (SRSF10) binding is enriched adjacent to consensus polyadenylation motifs and its expression is significantly decreased in NAFLD, suggesting a role mediating pre-mRNA dysregulation in this condition. Consistently, inactivation of SRSF10 in mouse and human hepatocytes in vitro, and in mouse liver in vivo, was found to dysregulate polyadenylation of key metabolic genes such as peroxisome proliferator-activated receptor alpha (PPARA) and exacerbate diet-induced metabolic dysfunction. Collectively our work implicates dysregulated pre-mRNA polyadenylation in obesity-induced liver disease and uncovers a novel role for SRSF10 in this process.
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Affiliation(s)
- Andrew M Jobbins
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Nejc Haberman
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Natalia Artigas
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Christopher Amourda
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Helen A B Paterson
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Sijia Yu
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Samuel J I Blackford
- Department of Metabolism, Digestion & Reproduction, Imperial College London, London W12 0NN, UK
| | - Alex Montoya
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Marian Dore
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Yi-Fang Wang
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Alessandro Sardini
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Inês Cebola
- Section of Genetics and Genomics, Department of Metabolism, Digestion & Reproduction, Imperial College London, London W12 0NN, UK
| | - Johannes Zuber
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), 1030 Vienna, Austria
| | - Sheikh Tamir Rashid
- Department of Metabolism, Digestion & Reproduction, Imperial College London, London W12 0NN, UK
| | - Boris Lenhard
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
| | - Santiago Vernia
- MRC London Institute of Medical Sciences, Du Cane Road, London W12 0NN, UK.,Institute of Clinical Sciences, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, UK
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21
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Ghosh S, Ataman M, Bak M, Börsch A, Schmidt A, Buczak K, Martin G, Dimitriades B, Herrmann CJ, Kanitz A, Zavolan M. CFIm-mediated alternative polyadenylation remodels cellular signaling and miRNA biogenesis. Nucleic Acids Res 2022; 50:3096-3114. [PMID: 35234914 PMCID: PMC8989530 DOI: 10.1093/nar/gkac114] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 01/31/2022] [Accepted: 02/04/2022] [Indexed: 12/13/2022] Open
Abstract
The mammalian cleavage factor I (CFIm) has been implicated in alternative polyadenylation (APA) in a broad range of contexts, from cancers to learning deficits and parasite infections. To determine how the CFIm expression levels are translated into these diverse phenotypes, we carried out a multi-omics analysis of cell lines in which the CFIm25 (NUDT21) or CFIm68 (CPSF6) subunits were either repressed by siRNA-mediated knockdown or over-expressed from stably integrated constructs. We established that >800 genes undergo coherent APA in response to changes in CFIm levels, and they cluster in distinct functional classes related to protein metabolism. The activity of the ERK pathway traces the CFIm concentration, and explains some of the fluctuations in cell growth and metabolism that are observed upon CFIm perturbations. Furthermore, multiple transcripts encoding proteins from the miRNA pathway are targets of CFIm-dependent APA. This leads to an increased biogenesis and repressive activity of miRNAs at the same time as some 3′ UTRs become shorter and presumably less sensitive to miRNA-mediated repression. Our study provides a first systematic assessment of a core set of APA targets that respond coherently to changes in CFIm protein subunit levels (CFIm25/CFIm68). We describe the elicited signaling pathways downstream of CFIm, which improve our understanding of the key role of CFIm in integrating RNA processing with other cellular activities.
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Affiliation(s)
- Souvik Ghosh
- Computational and Systems Biology, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Meric Ataman
- Computational and Systems Biology, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland.,Swiss Institute of Bioinformatics, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Maciej Bak
- Computational and Systems Biology, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland.,Swiss Institute of Bioinformatics, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Anastasiya Börsch
- Computational and Systems Biology, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland.,Swiss Institute of Bioinformatics, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Alexander Schmidt
- Proteomics Core Facility, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Katarzyna Buczak
- Proteomics Core Facility, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Georges Martin
- Computational and Systems Biology, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Beatrice Dimitriades
- Computational and Systems Biology, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Christina J Herrmann
- Computational and Systems Biology, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland.,Swiss Institute of Bioinformatics, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Alexander Kanitz
- Computational and Systems Biology, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland.,Swiss Institute of Bioinformatics, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
| | - Mihaela Zavolan
- Computational and Systems Biology, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland.,Swiss Institute of Bioinformatics, Biozentrum, University of Basel, Spitalstrasse 41, 4056 Basel, Switzerland
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22
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Abstract
The process of alternative polyadenylation (APA) generates multiple 3' UTR isoforms for a given locus, which can alter regulatory capacity and on occasion change coding potential. APA was initially characterized for a few genes, but in the past decade, has been found to be the rule for metazoan genes. While numerous differences in APA profiles have been catalogued across genetic conditions, perturbations, and diseases, our knowledge of APA mechanisms and biology is far from complete. In this review, we highlight recent findings regarding the role of the conserved ELAV/Hu family of RNA binding proteins (RBPs) in generating the broad landscape of lengthened 3' UTRs that is characteristic of neurons. We relate this to their established roles in alternative splicing, and summarize ongoing directions that will further elucidate the molecular strategies for neural APA, the in vivo functions of ELAV/Hu RBPs, and the phenotypic consequences of these regulatory paradigms in neurons.
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Affiliation(s)
- Lu Wei
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Eric C. Lai
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, United States
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23
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Slišković I, Eich H, Müller-McNicoll M. Exploring the multifunctionality of SR proteins. Biochem Soc Trans 2021:BST20210325. [PMID: 34940860 DOI: 10.1042/BST20210325] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/01/2021] [Accepted: 12/02/2021] [Indexed: 12/31/2022]
Abstract
Members of the arginine–serine-rich protein family (SR proteins) are multifunctional RNA-binding proteins that have emerged as key determinants for mRNP formation, identity and fate. They bind to pre-mRNAs early during transcription in the nucleus and accompany bound transcripts until they are translated or degraded in the cytoplasm. SR proteins are mostly known for their essential roles in constitutive splicing and as regulators of alternative splicing. However, many additional activities of individual SR proteins, beyond splicing, have been reported in recent years. We will summarize the different functions of SR proteins and discuss how multifunctionality can be achieved. We will also highlight the difficulties of studying highly versatile SR proteins and propose approaches to disentangle their activities, which is transferrable to other multifunctional RBPs.
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24
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Kawachi T, Masuda A, Yamashita Y, Takeda JI, Ohkawara B, Ito M, Ohno K. Regulated splicing of large exons is linked to phase-separation of vertebrate transcription factors. EMBO J 2021; 40:e107485. [PMID: 34605568 DOI: 10.15252/embj.2020107485] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 09/06/2021] [Accepted: 09/14/2021] [Indexed: 12/30/2022] Open
Abstract
Although large exons cannot be readily recognized by the spliceosome, many are evolutionarily conserved and constitutively spliced for inclusion in the processed transcript. Furthermore, whether large exons may be enriched in a certain subset of proteins, or mediate specific functions, has remained unclear. Here, we identify a set of nearly 3,000 SRSF3-dependent large constitutive exons (S3-LCEs) in human and mouse cells. These exons are enriched for cytidine-rich sequence motifs, which bind and recruit the splicing factors hnRNP K and SRSF3. We find that hnRNP K suppresses S3-LCE splicing, an effect that is mitigated by SRSF3 to thus achieve constitutive splicing of S3-LCEs. S3-LCEs are enriched in genes for components of transcription machineries, including mediator and BAF complexes, and frequently contain intrinsically disordered regions (IDRs). In a subset of analyzed S3-LCE-containing transcription factors, SRSF3 depletion leads to deletion of the IDRs due to S3-LCE exon skipping, thereby disrupting phase-separated assemblies of these factors. Cytidine enrichment in large exons introduces proline/serine codon bias in intrinsically disordered regions and appears to have been evolutionarily acquired in vertebrates. We propose that layered splicing regulation by hnRNP K and SRSF3 ensures proper phase-separation of these S3-LCE-containing transcription factors in vertebrates.
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Affiliation(s)
- Toshihiko Kawachi
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akio Masuda
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshihiro Yamashita
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Jun-Ichi Takeda
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Bisei Ohkawara
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mikako Ito
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kinji Ohno
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
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25
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Jin S, Xue Z, Zhang J, Wang Z, Zhang J, Chen D, Liu W, Lin J. Identification of SRSF3 target mRNAs using inducible TRIBE. Biochem Biophys Res Commun 2021; 578:21-7. [PMID: 34534741 DOI: 10.1016/j.bbrc.2021.09.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/06/2021] [Accepted: 09/08/2021] [Indexed: 11/22/2022]
Abstract
Serine and arginine-rich splicing factor 3 (SRSF3), the smallest member of the Ser/Arg-rich (SR) RNA-binding protein family, regulates multiple aspects of post-transcriptional gene expression program. Although SRSF3 is essential for early embryo development, reprogramming, and pluripotency maintenance, the RNA targets and specificity of RNA recognition of SRSF3 are not well understood in human pluripotent stem cells. In this study, we used inducible TRIBE (targets of RNA binding sites by editing) to identify RNA targets and binding motifs of SRSF3 in human embryonic stem cells (hESCs). We identified 3888 confident binding sites of SRSF3, corresponding to 1222 gene targets. Our results showed that nearly half of the binding sites were distributed in exons, reflecting the alternative splicing function of SRSF3. Motif analysis demonstrated that two of the SRSF3 recognition sequences were the same as the motifs identified in mouse embryonic stem cells, suggesting the recognition sequences of SRSF3 may be conserved in mammals. Overall, our analyses revealed the RNA targets of SRSF3 and uncovered its RNA recognition specificity, providing a valuable resource for understanding the function of SRSF3 in human embryonic stem cells.
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26
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Navarro E, Mallén A, Hueso M. Dynamic Variations of 3'UTR Length Reprogram the mRNA Regulatory Landscape. Biomedicines 2021; 9:1560. [PMID: 34829789 DOI: 10.3390/biomedicines9111560] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/10/2021] [Accepted: 10/15/2021] [Indexed: 12/16/2022] Open
Abstract
This paper concerns 3′-untranslated regions (3′UTRs) of mRNAs, which are non-coding regulatory platforms that control stability, fate and the correct spatiotemporal translation of mRNAs. Many mRNAs have polymorphic 3′UTR regions. Controlling 3′UTR length and sequence facilitates the regulation of the accessibility of functional effectors (RNA binding proteins, miRNAs or other ncRNAs) to 3′UTR functional boxes and motifs and the establishment of different regulatory landscapes for mRNA function. In this context, shortening of 3′UTRs would loosen miRNA or protein-based mechanisms of mRNA degradation, while 3′UTR lengthening would strengthen accessibility to these effectors. Alterations in the mechanisms regulating 3′UTR length would result in widespread deregulation of gene expression that could eventually lead to diseases likely linked to the loss (or acquisition) of specific miRNA binding sites. Here, we will review the mechanisms that control 3′UTR length dynamics and their alterations in human disorders. We will discuss, from a mechanistic point of view centered on the molecular machineries involved, the generation of 3′UTR variability by the use of alternative polyadenylation and cleavage sites, of mutually exclusive terminal alternative exons (exon skipping) as well as by the process of exonization of Alu cassettes to generate new 3′UTRs with differential functional features.
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27
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Gaine ME, Bahl E, Chatterjee S, Michaelson JJ, Abel T, Lyons LC. Altered hippocampal transcriptome dynamics following sleep deprivation. Mol Brain 2021; 14:125. [PMID: 34384474 PMCID: PMC8361790 DOI: 10.1186/s13041-021-00835-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 07/27/2021] [Indexed: 12/13/2022] Open
Abstract
Widespread sleep deprivation is a continuing public health problem in the United States and worldwide affecting adolescents and adults. Acute sleep deprivation results in decrements in spatial memory and cognitive impairments. The hippocampus is vulnerable to acute sleep deprivation with changes in gene expression, cell signaling, and protein synthesis. Sleep deprivation also has long lasting effects on memory and performance that persist after recovery sleep, as seen in behavioral studies from invertebrates to humans. Although previous research has shown that acute sleep deprivation impacts gene expression, the extent to which sleep deprivation affects gene regulation remains unknown. Using an unbiased deep RNA sequencing approach, we investigated the effects of acute sleep deprivation on gene expression in the hippocampus. We identified 1,146 genes that were significantly dysregulated following sleep deprivation with 507 genes upregulated and 639 genes downregulated, including protein coding genes and long non-coding RNAs not previously identified as impacted by sleep deprivation. Notably, genes significantly upregulated after sleep deprivation were associated with RNA splicing and the nucleus. In contrast, downregulated genes were associated with cell adhesion, dendritic localization, the synapse, and postsynaptic membrane. Furthermore, we found through independent experiments analyzing a subset of genes that three hours of recovery sleep following acute sleep deprivation was sufficient to normalize mRNA abundance for most genes, although exceptions occurred for some genes that may affect RNA splicing or transcription. These results clearly demonstrate that sleep deprivation differentially regulates gene expression on multiple transcriptomic levels to impact hippocampal function.
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Affiliation(s)
- Marie E Gaine
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Department of Pharmaceutical Sciences and Experimental Therapeutics (PSET), College of Pharmacy, University of Iowa, Iowa City, IA, USA
| | - Ethan Bahl
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, IA, USA
| | - Snehajyoti Chatterjee
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Jacob J Michaelson
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Department of Biomedical Engineering, College of Engineering, University of Iowa, Iowa City, IA, USA
- Department of Communication Sciences and Disorders, College of Liberal Arts and Sciences, University of Iowa, Iowa City, IA, USA
- Iowa Institute of Human Genetics, University of Iowa, Iowa City, IA, USA
| | - Ted Abel
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Lisa C Lyons
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
- Department of Biological Science, Program in Neuroscience, Florida State University, Tallahassee, FL, USA.
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28
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Faulkner GJ. The evolving gene regulatory landscape-a tinkerer of complex creatures. Genome Biol 2021; 22:199. [PMID: 34238343 PMCID: PMC8265009 DOI: 10.1186/s13059-021-02412-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Geoffrey J Faulkner
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, 4072, Australia. .,Mater Research Institute - University of Queensland, TRI Building, Woolloongabba, QLD, 4102, Australia.
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