1
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Kalamara V, Garinis GA. The epitranscriptome: reshaping the DNA damage response. Trends Cell Biol 2025; 35:294-304. [PMID: 39048401 DOI: 10.1016/j.tcb.2024.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/17/2024] [Accepted: 06/20/2024] [Indexed: 07/27/2024]
Abstract
Genomic instability poses a formidable threat to cellular vitality and wellbeing, prompting cells to deploy an intricate DNA damage response (DDR) mechanism. Recent evidence has suggested that RNA is intricately linked to the DDR by serving as template, scaffold, or regulator during the repair of DNA damage. Additionally, RNA molecules undergo modifications, contributing to the epitranscriptome, a dynamic regulatory layer influencing cellular responses to genotoxic stress. The intricate interplay between RNA and the DDR sheds new light on how the RNA epigenome contributes to the maintenance of genomic integrity and ultimately shapes the fate of damaged cells.
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Affiliation(s)
- Vivian Kalamara
- Department of Biology, University of Crete, Heraklion, Crete, Greece; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, GR70013, Heraklion, Crete, Greece
| | - George A Garinis
- Department of Biology, University of Crete, Heraklion, Crete, Greece; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, GR70013, Heraklion, Crete, Greece.
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2
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Forouzanfar F, Moreno DF, Plassard D, Furst A, Oliveira KA, Reina-San-Martin B, Tora L, Molina N, Mendoza M. Gene-specific transcript buffering revealed by perturbation of coactivator complexes. SCIENCE ADVANCES 2025; 11:eadr1492. [PMID: 40106549 PMCID: PMC11922027 DOI: 10.1126/sciadv.adr1492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 02/05/2025] [Indexed: 03/22/2025]
Abstract
Transcript buffering entails reciprocal modulation of mRNA synthesis and degradation to maintain stable RNA levels under varying cellular conditions. Current models depict a global connection between mRNA synthesis and degradation, but underlying mechanisms remain unclear. Here, we show that changes in RNA metabolism following depletion of TIP60/KAT5, the acetyltransferase subunit of the NuA4 transcriptional coactivator complex, reveal that transcript buffering occurs at a gene-specific level. By combining RNA sequencing of nuclear, cytoplasmic, and newly synthesized transcript fractions with biophysical modeling in mouse embryonic stem cells, we demonstrate that transcriptional changes caused by TIP60 depletion are offset by corresponding changes in RNA nuclear export and cytoplasmic stability, indicating gene-specific buffering. Disruption of the unrelated ATAC coactivator complex also causes gene-specific transcript buffering. We propose that cells dynamically adjust RNA splicing, export, and degradation in response to individual RNA synthesis alterations, thereby sustaining cellular homeostasis.
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Affiliation(s)
- Faezeh Forouzanfar
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
- Centre National de la Recherche Scientifique, UMR7104, Illkirch, France
- Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
- Université de Strasbourg, Strasbourg, France
| | - David F. Moreno
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
- Centre National de la Recherche Scientifique, UMR7104, Illkirch, France
- Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
- Université de Strasbourg, Strasbourg, France
| | - Damien Plassard
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
- Centre National de la Recherche Scientifique, UMR7104, Illkirch, France
- Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
- Université de Strasbourg, Strasbourg, France
| | - Audrey Furst
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
- Centre National de la Recherche Scientifique, UMR7104, Illkirch, France
- Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
- Université de Strasbourg, Strasbourg, France
| | - Karen A. Oliveira
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
- Centre National de la Recherche Scientifique, UMR7104, Illkirch, France
- Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
- Université de Strasbourg, Strasbourg, France
| | - Bernardo Reina-San-Martin
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
- Centre National de la Recherche Scientifique, UMR7104, Illkirch, France
- Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
- Université de Strasbourg, Strasbourg, France
| | - László Tora
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
- Centre National de la Recherche Scientifique, UMR7104, Illkirch, France
- Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
- Université de Strasbourg, Strasbourg, France
| | - Nacho Molina
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
- Centre National de la Recherche Scientifique, UMR7104, Illkirch, France
- Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
- Université de Strasbourg, Strasbourg, France
| | - Manuel Mendoza
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France
- Centre National de la Recherche Scientifique, UMR7104, Illkirch, France
- Institut National de la Santé et de la Recherche Médicale, U964, Illkirch, France
- Université de Strasbourg, Strasbourg, France
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3
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Bellutti L, Chan Sock Peng E, Cluzet V, Guerquin MJ, Rolland A, Messiaen S, Llano E, Dereli I, Martini E, Tóth A, Pendás A, Chalmel F, Livera G. Genome-wide transcriptional silencing and mRNA stabilization allow the coordinated expression of the meiotic program in mice. Nucleic Acids Res 2025; 53:gkaf146. [PMID: 40103226 PMCID: PMC11915508 DOI: 10.1093/nar/gkaf146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 02/06/2025] [Accepted: 03/13/2025] [Indexed: 03/20/2025] Open
Abstract
The transcriptional dynamic of mammalian cells when these transit from the ubiquitous mitotic to a meiotic-specific program is key to understand this switch central to sexual reproduction. By quantifying active RNA polymerase II and nascent transcripts using single cell dataset and ethynyl-uridine pool-down with sorted cells from synchronized testes, we detailed the transcriptional activity of murine male germ cells. When spermatogonia differentiate, transcription slows down, reaching minimal activity at meiotic entry and resumes during pachytene stage. This event, we termed EMLT (for early meiotic low transcription), is distinct from the silencing of sex chromosomes as it is independent of Setdb1, though it is accompanied by the same chromatin mark, H3K9me3. EMLT is delayed in Stra8KO but occurs in mutants altering meiotic chromosome structure or double-strand break formation or repair. By comparing transcript abundance and nascent transcription we unveil a massive event of messenger RNA stabilization that parallels EMLT. Altogether our data indicate that meiosis is initiated with a nearly silent genome, and we propose that the stabilization of transcripts at that time facilitates the meiotic entry by synchronizing the expression of several meiotic subprograms.
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Affiliation(s)
- Laura Bellutti
- Université Paris Cité, CEA, Genetic Stability Stem Cells and Radiation, Laboratory of Development of the Gonads, F-92265 Fontenay-aux-Roses, France
- Université Paris-Saclay, CEA, Genetic Stability Stem Cells and Radiation, LDG/IRCM/IBFJ, F-92265 Fontenay-aux-Roses, France
| | - Edith Chan Sock Peng
- Inserm, EHESP, Univ Rennes, Irset (Institut de recherche en santé, environnement et travail)—UMR_S 1085, Rennes, France
| | - Victoria Cluzet
- Université Paris Cité, CEA, Genetic Stability Stem Cells and Radiation, Laboratory of Development of the Gonads, F-92265 Fontenay-aux-Roses, France
- Université Paris-Saclay, CEA, Genetic Stability Stem Cells and Radiation, LDG/IRCM/IBFJ, F-92265 Fontenay-aux-Roses, France
| | - Marie-Justine Guerquin
- Université Paris Cité, CEA, Genetic Stability Stem Cells and Radiation, Laboratory of Development of the Gonads, F-92265 Fontenay-aux-Roses, France
- Université Paris-Saclay, CEA, Genetic Stability Stem Cells and Radiation, LDG/IRCM/IBFJ, F-92265 Fontenay-aux-Roses, France
| | - Antoine Rolland
- Inserm, EHESP, Univ Rennes, Irset (Institut de recherche en santé, environnement et travail)—UMR_S 1085, Rennes, France
| | - Sébastien Messiaen
- Université Paris Cité, CEA, Genetic Stability Stem Cells and Radiation, Laboratory of Development of the Gonads, F-92265 Fontenay-aux-Roses, France
- Université Paris-Saclay, CEA, Genetic Stability Stem Cells and Radiation, LDG/IRCM/IBFJ, F-92265 Fontenay-aux-Roses, France
| | - Elena Llano
- Molecular Mechanism Program, Centro de Investigation del Cancer (Universidad de Salamanca-CSIC), 37007 Salamanca, Spain
| | - Ihsan Dereli
- Institute of Physiological Chemistry, Faculty of Medicine at the TU Dresden, Fiedlerstrasse 42 01307 Dresden, Germany
| | - Emmanuelle Martini
- Université Paris Cité, CEA, Genetic Stability Stem Cells and Radiation, Laboratory of Development of the Gonads, F-92265 Fontenay-aux-Roses, France
- Université Paris-Saclay, CEA, Genetic Stability Stem Cells and Radiation, LDG/IRCM/IBFJ, F-92265 Fontenay-aux-Roses, France
| | - Attila Tóth
- Institute of Physiological Chemistry, Faculty of Medicine at the TU Dresden, Fiedlerstrasse 42 01307 Dresden, Germany
| | - Alberto M Pendás
- Molecular Mechanism Program, Centro de Investigation del Cancer (Universidad de Salamanca-CSIC), 37007 Salamanca, Spain
| | - Frederic Chalmel
- Inserm, EHESP, Univ Rennes, Irset (Institut de recherche en santé, environnement et travail)—UMR_S 1085, Rennes, France
| | - Gabriel Livera
- Université Paris Cité, CEA, Genetic Stability Stem Cells and Radiation, Laboratory of Development of the Gonads, F-92265 Fontenay-aux-Roses, France
- Université Paris-Saclay, CEA, Genetic Stability Stem Cells and Radiation, LDG/IRCM/IBFJ, F-92265 Fontenay-aux-Roses, France
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4
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Harper NW, Birdsall GA, Honeywell ME, Pai AA, Lee MJ. Pol II degradation activates cell death independently from the loss of transcription. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2024.12.09.627542. [PMID: 39713309 PMCID: PMC11661175 DOI: 10.1101/2024.12.09.627542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2024]
Abstract
Pol II-mediated transcription is essential for eukaryotic life. While loss of transcription is thought to be universally lethal, the associated mechanisms promoting cell death are not yet known. Here, we show that death following loss of Pol II is not caused by dysregulated gene expression. Instead, death occurs in response to the loss of Pol II protein itself, specifically loss of the enzymatic subunit, Rbp1. Loss of Pol II exclusively activates apoptosis, and expression of a transcriptionally inactive version of Rpb1 rescues cell viability. Using functional genomics, we identify a previously uncharacterized mechanism that regulates lethality following loss of Pol II, which we call the Pol II Degradation-dependent Apoptotic Response (PDAR). Using the genetic dependencies of PDAR, we identify clinically used drugs that owe their efficacy to a PDAR-dependent mechanism. Our findings unveil a novel apoptotic signaling response that contributes to the efficacy of a wide array of anti-cancer therapies.
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Affiliation(s)
- Nicholas W. Harper
- Department of Systems Biology, UMass Chan Medical School; Worcester, MA, USA
| | - Gavin A. Birdsall
- Department of Systems Biology, UMass Chan Medical School; Worcester, MA, USA
| | - Megan E. Honeywell
- Department of Systems Biology, UMass Chan Medical School; Worcester, MA, USA
| | - Athma A. Pai
- RNA Therapeutics Institute, UMass Chan Medical School; Worcester, MA, USA
| | - Michael J. Lee
- Department of Systems Biology, UMass Chan Medical School; Worcester, MA, USA
- Program in Molecular Medicine, and Department of Molecular, Cell and Cancer Biology, UMass Chan Medical School; Worcester, MA, USA
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5
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Gupta H, Lee JR, Hoffman KB, Min KW, Yoon JH. RNA Decay Assay: 5-Ethynyl-Uridine Labeling and Chasing. Methods Mol Biol 2025; 2863:139-149. [PMID: 39535709 DOI: 10.1007/978-1-0716-4176-7_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Eukaryotic RNA synthesis and degradation are intricately regulated, impacting on gene expression dynamics. RNA stability varies in individual transcripts and is modulated by trans-acting factors such as microRNAs, long noncoding RNAs, and RNA-binding proteins, which determine protein output and subsequent cellular processes. To measure RNA decay rate, accurate and reliable methodologies are essential in the field of RNA biology. Transcription inhibition and metabolic labeling enable comprehensive investigations on RNA decay, offering critical insights into dynamic regulation of RNA decay. Transcription shut-off has been employed widely by using various approaches, such as treatment with chemical inhibitors or generation of temperature-sensitive mutants of RNA polymerases. However, it has limitations, providing a static view and lacking real-time dynamics as well as precise measurement of decay rate. Metabolic labeling, a method of incorporating modified nucleotides into RNA transcripts, complements shut-off approaches, allowing selective monitoring of newly synthesized RNA and tracing decay intermediates. The purpose of the protocol described in this chapter is to assess the kinetics and statics of newly synthesized RNA and its decay by 5-ethynyl uridine labeling.
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Affiliation(s)
- Haripriya Gupta
- Department of Oncology Science, University of Oklahoma, Oklahoma City, OK, USA
| | - Jayden R Lee
- Department of Oncology Science, University of Oklahoma, Oklahoma City, OK, USA
| | - Kane B Hoffman
- Department of Oncology Science, University of Oklahoma, Oklahoma City, OK, USA
| | - Kyung-Won Min
- Department of Biology, Gangneung-Wonju National University, Gangneung, Republic of Korea.
| | - Je-Hyun Yoon
- Department of Oncology Science, University of Oklahoma, Oklahoma City, OK, USA.
- Department of Pathology, University of Oklahoma, Oklahoma City, OK, USA.
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6
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Aldrete CA, An C, Call CC, Gao XJ, Vlahos AE. Perspectives on Synthetic Protein Circuits in Mammalian Cells. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2024; 32:100555. [PMID: 39372446 PMCID: PMC11448451 DOI: 10.1016/j.cobme.2024.100555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
Mammalian synthetic biology aims to engineer cellular behaviors for therapeutic applications, such as enhancing immune cell efficacy against cancers or improving cell transplantation outcomes. Programming complex biological functions necessitates an understanding of molecular mechanisms governing cellular responses to stimuli. Traditionally, synthetic biology has focused on transcriptional circuits, but recent advances have led to the development of synthetic protein circuits, leveraging programmable binding, proteolysis, or phosphorylation to modulate protein interactions and cellular functions. These circuits offer advantages including robust performance, rapid functionality, and compact design, making them suitable for cellular engineering or gene therapies. This review outlines the post-translational toolkit, emphasizing synthetic protein components utilizing proteolysis or phosphorylation to program mammalian cell behaviors. Finally, we focus on key differences between rewiring native signaling pathways and creating orthogonal behaviors, alongside a proposed framework for translating synthetic protein circuits from tool development to pre-clinical applications in biomedicine.
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Affiliation(s)
- Carlos A. Aldrete
- Department of Chemical Engineering, Stanford University, CA, USA, 94305
| | - Connie An
- Department of Chemical Engineering, Stanford University, CA, USA, 94305
| | - Connor C. Call
- Department of Chemical Engineering, Stanford University, CA, USA, 94305
| | - Xiaojing J. Gao
- Department of Chemical Engineering, Stanford University, CA, USA, 94305
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7
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Zhu XT, Sanz-Jimenez P, Ning XT, Tahir Ul Qamar M, Chen LL. Direct RNA sequencing in plants: Practical applications and future perspectives. PLANT COMMUNICATIONS 2024; 5:101064. [PMID: 39155503 PMCID: PMC11589328 DOI: 10.1016/j.xplc.2024.101064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/17/2024] [Accepted: 08/14/2024] [Indexed: 08/20/2024]
Abstract
The transcriptome serves as a bridge that links genomic variation to phenotypic diversity. A vast number of studies using next-generation RNA sequencing (RNA-seq) over the last 2 decades have emphasized the essential roles of the plant transcriptome in response to developmental and environmental conditions, providing numerous insights into the dynamic changes, evolutionary traces, and elaborate regulation of the plant transcriptome. With substantial improvement in accuracy and throughput, direct RNA sequencing (DRS) has emerged as a new and powerful sequencing platform for precise detection of native and full-length transcripts, overcoming many limitations such as read length and PCR bias that are inherent to short-read RNA-seq. Here, we review recent advances in dissecting the complexity and diversity of plant transcriptomes using DRS as the main technological approach, covering many aspects of RNA metabolism, including novel isoforms, poly(A) tails, and RNA modification, and we propose a comprehensive workflow for processing of plant DRS data. Many challenges to the application of DRS in plants, such as the need for machine learning tools tailored to plant transcriptomes, remain to be overcome, and together we outline future biological questions that can be addressed by DRS, such as allele-specific RNA modification. This technology provides convenient support on which the connection of distinct RNA features is tightly built, sustainably refining our understanding of the biological functions of the plant transcriptome.
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Affiliation(s)
- Xi-Tong Zhu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Science and Technology, Guangxi University, Nanning 530004, China.
| | - Pablo Sanz-Jimenez
- National Key Laboratory of Crop Genetic Improvement, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiao-Tong Ning
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Science and Technology, Guangxi University, Nanning 530004, China
| | - Muhammad Tahir Ul Qamar
- Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Ling-Ling Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Science and Technology, Guangxi University, Nanning 530004, China.
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8
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Zhang L, Chen Z, Sun G, Li C, Wu P, Xu W, Zhu H, Zhang Z, Tang Y, Li Y, Li Y, Xu S, Li H, Chen M, Xiao F, Zhang Y, Zhang W. Dynamic landscape of m6A modifications and related post-transcriptional events in muscle-invasive bladder cancer. J Transl Med 2024; 22:912. [PMID: 39380003 PMCID: PMC11460118 DOI: 10.1186/s12967-024-05701-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Accepted: 09/23/2024] [Indexed: 10/10/2024] Open
Abstract
BACKGROUND Muscle-invasive bladder carcinoma (MIBC) is a serious and more advanced stage of bladder carcinoma. N6-Methyladenosine (m6A) is a dynamic and reversible modifications that primarily affects RNA stability and alternative splicing. The dysregulation of m6A in MIBC can be potential target for clinical interventions, but there have been limited studies on m6A modifications in MIBC and their associations with post-transcriptional regulatory processes. METHODS Paired tumor and adjacent-normal tissues were obtained from three patients with MIBC following radical cystectomy. The additional paired tissues for validation were obtained from patients underwent transurethral resection. Utilizing Nanopore direct-RNA sequencing, we characterized the m6A RNA methylation landscape in MIBC, with a focus on identifying post-transcriptional events potentially affected by changes in m6A sites. This included an examination of differential transcript usage, polyadenylation signal sites, and variations in poly(A) tail length, providing insights into the broader impact of m6A alterations on RNA processing in MIBC. RESULTS The prognostic-related m6A genes and m6A-risk model constructed by machine learning enables the stratification of high and low-risk patients with precision. A novel m6A modification site in the 3' untranslated region (3'UTR) of IGLL5 gene were identified, characterized by a lower m6A methylation ratio, elongated poly(A) tails, and a notable bias in transcript usage. Furthermore, we discovered two particular transcripts, VWA1-203 and CEBPB-201. VWA1-203 displayed diminished m6A methylation levels, a truncated 3'UTR, and an elongated poly(A) tail, whereas CEBPB-201 showed opposite trends, highlighting the complex interplay between m6A modifications and RNA processing. Source code was provided on GitHub ( https://github.com/lelelililele/Nanopore-m6A-analysis ). CONCLUSIONS The state-of-the-art Nanopore direct-RNA sequencing and machine learning techniques enables comprehensive identification of m6A modification and provided insights into the potential post-transcriptional regulation mechanisms on the development and progression in MIBC.
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Affiliation(s)
- Lili Zhang
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ziwei Chen
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Gaoyuan Sun
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chang Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Pengjie Wu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Wenrui Xu
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Hui Zhu
- Department of Nuclear Medicine, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Zaifeng Zhang
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yongbin Tang
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yayu Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- University of Chinese Academy of Sciences Medical School, Beijing, China
| | - Yifei Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Siyuan Xu
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Hexin Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Meng Chen
- National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei Xiao
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
| | - Yaqun Zhang
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
| | - Wei Zhang
- Department of Pathology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
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9
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Coscujuela Tarrero L, Famà V, D'Andrea G, Maestri S, de Polo A, Biffo S, Furlan M, Pelizzola M. Nanodynamo quantifies subcellular RNA dynamics revealing extensive coupling between steps of the RNA life cycle. Nat Commun 2024; 15:7725. [PMID: 39231948 PMCID: PMC11375098 DOI: 10.1038/s41467-024-51917-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 08/20/2024] [Indexed: 09/06/2024] Open
Abstract
The coordinated action of transcriptional and post-transcriptional machineries shapes gene expression programs at steady state and determines their concerted response to perturbations. We have developed Nanodynamo, an experimental and computational workflow for quantifying the kinetic rates of nuclear and cytoplasmic steps of the RNA life cycle. Nanodynamo is based on mathematical modelling following sequencing of native RNA from cellular fractions and polysomes. We have applied this workflow to triple-negative breast cancer cells, revealing widespread post-transcriptional RNA processing that is mutually exclusive with its co-transcriptional counterpart. We used Nanodynamo to unravel the coupling between transcription, processing, export, decay and translation machineries. We have identified a number of coupling interactions within and between the nucleus and cytoplasm that largely contribute to coordinating how cells respond to perturbations that affect gene expression programs. Nanodynamo will be instrumental in unravelling the determinants and regulatory processes involved in the coordination of gene expression responses.
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Affiliation(s)
| | - Valeria Famà
- Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy
- Department of Oncology and Emato-Oncology, University of Milan, Milan, Italy
| | - Giacomo D'Andrea
- Istituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi", Milano, Italy
- Department of Biosciences, University of Milan, Milan, Italy
| | - Simone Maestri
- Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy
| | - Anna de Polo
- Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy
| | - Stefano Biffo
- Istituto Nazionale Genetica Molecolare "Romeo ed Enrica Invernizzi", Milano, Italy
- Department of Biosciences, University of Milan, Milan, Italy
| | - Mattia Furlan
- Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.
| | - Mattia Pelizzola
- Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT), Milan, Italy.
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy.
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10
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Wang Q, Lin J. Homeostasis of mRNA concentrations through coupling transcription, export, and degradation. iScience 2024; 27:110531. [PMID: 39175768 PMCID: PMC11338957 DOI: 10.1016/j.isci.2024.110531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 04/16/2024] [Accepted: 07/15/2024] [Indexed: 08/24/2024] Open
Abstract
Many experiments showed that eukaryotic cells maintain a constant mRNA concentration upon various perturbations by actively regulating mRNA production and degradation rates, known as mRNA buffering. However, the underlying mechanism is still unknown. In this work, we unveil a mechanistic model of mRNA buffering: the releasing-shuttling (RS) model. The model incorporates two crucial proteins, X and Y, which play several roles, including transcription, decay, and export factors, in the different stages of mRNA metabolism. The RS model predicts the constant mRNA concentration under genome-wide genetic perturbations and cell volume changes, the slowed-down mRNA degradation after Pol II depletion, and the temporal transcription dynamics after exonuclease depletion, in agreement with multiple experiments. Finally, we present a list of X and Y candidates and propose an experimental method to identify X. Our work uncovers potentially universal pathways coupling transcription, export, and degradation that help cells maintain mRNA homeostasis.
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Affiliation(s)
- Qirun Wang
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Jie Lin
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
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11
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Scheepbouwer C, Aparicio-Puerta E, Gómez-Martin C, van Eijndhoven MA, Drees EE, Bosch L, de Jong D, Wurdinger T, Zijlstra JM, Hackenberg M, Gerber A, Pegtel DM. Full-length tRNAs lacking a functional CCA tail are selectively sorted into the lumen of extracellular vesicles. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.12.593148. [PMID: 38765958 PMCID: PMC11100784 DOI: 10.1101/2024.05.12.593148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Small extracellular vesicles (sEVs) are heterogenous lipid membrane particles typically less than 200 nm in size and secreted by most cell types either constitutively or upon activation signals. sEVs isolated from biofluids contain RNAs, including small non-coding RNAs (ncRNAs), that can be either encapsulated within the EV lumen or bound to the EV surface. EV-associated microRNAs (miRNAs) are, despite a relatively low abundance, extensively investigated for their selective incorporation and their role in cell-cell communication. In contrast, the sorting of highly-structured ncRNA species is understudied, mainly due to technical limitations of traditional small RNA sequencing protocols. Here, we adapted ALL-tRNAseq to profile the relative abundance of highly structured and potentially methylated small ncRNA species, including transfer RNAs (tRNAs), small nucleolar RNAs (snoRNAs), and Y RNAs in bulk EV preparations. We determined that full-length tRNAs, typically 75 to 90 nucleotides in length, were the dominant small ncRNA species (>60% of all reads in the 18-120 nucleotides size-range) in all cell culture-derived EVs, as well as in human plasma-derived EV samples, vastly outnumbering 21 nucleotides-long miRNAs. Nearly all EV-associated tRNAs were protected from external RNAse treatment, indicating a location within the EV lumen. Strikingly, the vast majority of luminal-sorted, full-length, nucleobase modification-containing EV-tRNA sequences, harbored a dysfunctional 3' CCA tail, 1 to 3 nucleotides truncated, rendering them incompetent for amino acid loading. In contrast, in non-EV associated extracellular particle fractions (NVEPs), tRNAs appeared almost exclusively fragmented or 'nicked' into tRNA-derived small RNAs (tsRNAs) with lengths between 18 to 35 nucleotides. We propose that in mammalian cells, tRNAs that lack a functional 3' CCA tail are selectively sorted into EVs and shuttled out of the producing cell, offering a new perspective into the physiological role of secreted EVs and luminal cargo-selection.
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Affiliation(s)
- Chantal Scheepbouwer
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
- Cancer Center Amsterdam, Cancer Biology, Amsterdam, Netherlands
- Department of Pathology, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
| | - Ernesto Aparicio-Puerta
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA
| | - Cristina Gómez-Martin
- Department of Pathology, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
| | - Monique A.J. van Eijndhoven
- Department of Pathology, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
| | - Esther E.E. Drees
- Department of Pathology, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
- Department of Hematology, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
| | - Leontien Bosch
- Department of Pathology, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
| | - Daphne de Jong
- Department of Pathology, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
| | - Thomas Wurdinger
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
- Cancer Center Amsterdam, Cancer Biology, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
| | - Josée M. Zijlstra
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
- Department of Hematology, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
| | - Michael Hackenberg
- Bioinformatics Laboratory, Biomedical Research Centre (CIBM), Biotechnology Institute, PTS, Avda. del Conocimiento s/n, 18100 Granada, Spain
- Genetics Department, Faculty of Science, Universidad de Granada, Campus de Fuentenueva s/n, 18071 Granada, Spain
- Excellence Research Unit “Modeling Nature” (MNat), University of Granada, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, University Hospitals of Granada-University of Granada, Spain; Conocimiento s/n 18100, Granada. Spain
| | - Alan Gerber
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
- Cancer Center Amsterdam, Cancer Biology, Amsterdam, Netherlands
| | - D. Michiel Pegtel
- Department of Pathology, Cancer Center Amsterdam, Amsterdam University Medical Center, VU University, Amsterdam, Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands
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12
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Ni Z, Ahmed N, Nabeel-Shah S, Guo X, Pu S, Song J, Marcon E, Burke G, Tong AH, Chan K, Ha KH, Blencowe B, Moffat J, Greenblatt J. Identifying human pre-mRNA cleavage and polyadenylation factors by genome-wide CRISPR screens using a dual fluorescence readthrough reporter. Nucleic Acids Res 2024; 52:4483-4501. [PMID: 38587191 PMCID: PMC11077057 DOI: 10.1093/nar/gkae240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 01/29/2024] [Accepted: 04/02/2024] [Indexed: 04/09/2024] Open
Abstract
Messenger RNA precursors (pre-mRNA) generally undergo 3' end processing by cleavage and polyadenylation (CPA), which is specified by a polyadenylation site (PAS) and adjacent RNA sequences and regulated by a large variety of core and auxiliary CPA factors. To date, most of the human CPA factors have been discovered through biochemical and proteomic studies. However, genetic identification of the human CPA factors has been hampered by the lack of a reliable genome-wide screening method. We describe here a dual fluorescence readthrough reporter system with a PAS inserted between two fluorescent reporters. This system enables measurement of the efficiency of 3' end processing in living cells. Using this system in combination with a human genome-wide CRISPR/Cas9 library, we conducted a screen for CPA factors. The screens identified most components of the known core CPA complexes and other known CPA factors. The screens also identified CCNK/CDK12 as a potential core CPA factor, and RPRD1B as a CPA factor that binds RNA and regulates the release of RNA polymerase II at the 3' ends of genes. Thus, this dual fluorescence reporter coupled with CRISPR/Cas9 screens reliably identifies bona fide CPA factors and provides a platform for investigating the requirements for CPA in various contexts.
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Affiliation(s)
- Zuyao Ni
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Nujhat Ahmed
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Syed Nabeel-Shah
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Xinghua Guo
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Shuye Pu
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Jingwen Song
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Edyta Marcon
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Giovanni L Burke
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Amy Hin Yan Tong
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON Canada
| | - Katherine Chan
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON Canada
| | - Kevin C H Ha
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Benjamin J Blencowe
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Jason Moffat
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON Canada
- Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON Canada
| | - Jack F Greenblatt
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
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13
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Forouzanfar F, Plassard D, Furst A, Moreno D, Oliveira KA, Reina-San-Martin B, Tora L, Molina N, Mendoza M. Gene-specific RNA homeostasis revealed by perturbation of coactivator complexes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.30.577960. [PMID: 38352321 PMCID: PMC10862879 DOI: 10.1101/2024.01.30.577960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Transcript buffering entails the reciprocal modulation of mRNA synthesis and degradation rates to maintain stable RNA levels under varying cellular conditions. Current research supports a global, non-sequence-specific connection between mRNA synthesis and degradation, but the underlying mechanisms are still unclear. In this study, we investigated changes in RNA metabolism following acute depletion of TIP60/KAT5, the acetyltransferase subunit of the NuA4 transcriptional coactivator complex, in mouse embryonic stem cells. By combining RNA sequencing of nuclear, cytoplasmic, and newly synthesised transcript fractions with biophysical modelling, we demonstrate that TIP60 predominantly enhances transcription of numerous genes, while a smaller set of genes undergoes TIP60-dependent transcriptional repression. Surprisingly, transcription changes caused by TIP60 depletion were offset by corresponding changes in RNA nuclear export and cytoplasmic stability, indicating gene-specific buffering mechanisms. Similarly, disruption of the unrelated ATAC coactivator complex also resulted in gene-specific transcript buffering. These findings reveal that transcript buffering functions at a gene-specific level and suggest that cells dynamically adjust RNA splicing, export, and degradation in response to individual RNA synthesis alterations, thereby sustaining cellular homeostasis.
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14
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Han X, Xing L, Hong Y, Zhang X, Hao B, Lu JY, Huang M, Wang Z, Ma S, Zhan G, Li T, Hao X, Tao Y, Li G, Zhou S, Zheng Z, Shao W, Zeng Y, Ma D, Zhang W, Xie Z, Deng H, Yan J, Deng W, Shen X. Nuclear RNA homeostasis promotes systems-level coordination of cell fate and senescence. Cell Stem Cell 2024; 31:694-716.e11. [PMID: 38631356 DOI: 10.1016/j.stem.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 02/01/2024] [Accepted: 03/26/2024] [Indexed: 04/19/2024]
Abstract
Understanding cellular coordination remains a challenge despite knowledge of individual pathways. The RNA exosome, targeting a wide range of RNA substrates, is often downregulated in cellular senescence. Utilizing an auxin-inducible system, we observed that RNA exosome depletion in embryonic stem cells significantly affects the transcriptome and proteome, causing pluripotency loss and pre-senescence onset. Mechanistically, exosome depletion triggers acute nuclear RNA aggregation, disrupting nuclear RNA-protein equilibrium. This disturbance limits nuclear protein availability and hinders polymerase initiation and engagement, reducing gene transcription. Concurrently, it promptly disrupts nucleolar transcription, ribosomal processes, and nuclear exporting, resulting in a translational shutdown. Prolonged exosome depletion induces nuclear structural changes resembling senescent cells, including aberrant chromatin compaction, chromocenter disassembly, and intensified heterochromatic foci. These effects suggest that the dynamic turnover of nuclear RNA orchestrates crosstalk between essential processes to optimize cellular function. Disruptions in nuclear RNA homeostasis result in systemic functional decline, altering the cell state and promoting senescence.
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Affiliation(s)
- Xue Han
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Linqing Xing
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yantao Hong
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Xuechun Zhang
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Bo Hao
- SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - J Yuyang Lu
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Mengyuan Huang
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Zuhui Wang
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shaoqian Ma
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Ge Zhan
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Tong Li
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Xiaowen Hao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yibing Tao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Guanwen Li
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Shuqin Zhou
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Zheng Zheng
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Wen Shao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yitian Zeng
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Dacheng Ma
- MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and Systems Biology, Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Wenhao Zhang
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zhen Xie
- MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and Systems Biology, Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Haiteng Deng
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jiangwei Yan
- SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Wulan Deng
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Xiaohua Shen
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China; SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
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15
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Baek A, Lee GE, Golconda S, Rayhan A, Manganaris AA, Chen S, Tirumuru N, Yu H, Kim S, Kimmel C, Zablocki O, Sullivan MB, Addepalli B, Wu L, Kim S. Single-molecule epitranscriptomic analysis of full-length HIV-1 RNAs reveals functional roles of site-specific m 6As. Nat Microbiol 2024; 9:1340-1355. [PMID: 38605174 PMCID: PMC11087264 DOI: 10.1038/s41564-024-01638-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 02/15/2024] [Indexed: 04/13/2024]
Abstract
Although the significance of chemical modifications on RNA is acknowledged, the evolutionary benefits and specific roles in human immunodeficiency virus (HIV-1) replication remain elusive. Most studies have provided only population-averaged values of modifications for fragmented RNAs at low resolution and have relied on indirect analyses of phenotypic effects by perturbing host effectors. Here we analysed chemical modifications on HIV-1 RNAs at the full-length, single RNA level and nucleotide resolution using direct RNA sequencing methods. Our data reveal an unexpectedly simple HIV-1 modification landscape, highlighting three predominant N6-methyladenosine (m6A) modifications near the 3' end. More densely installed in spliced viral messenger RNAs than in genomic RNAs, these m6As play a crucial role in maintaining normal levels of HIV-1 RNA splicing and translation. HIV-1 generates diverse RNA subspecies with distinct m6A ensembles, and maintaining multiple of these m6As on its RNAs provides additional stability and resilience to HIV-1 replication, suggesting an unexplored viral RNA-level evolutionary strategy.
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Affiliation(s)
- Alice Baek
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
| | - Ga-Eun Lee
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
- Translational Data Analytics Institute, Ohio State University, Columbus, OH, USA
| | - Sarah Golconda
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
| | - Asif Rayhan
- Rieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, Cincinnati, OH, USA
| | - Anastasios A Manganaris
- Translational Data Analytics Institute, Ohio State University, Columbus, OH, USA
- Department of Computer Science and Engineering, Ohio State University, Columbus, OH, USA
| | - Shuliang Chen
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
| | - Nagaraja Tirumuru
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
| | - Hannah Yu
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
| | - Shihyoung Kim
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA
| | - Christopher Kimmel
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA
- Translational Data Analytics Institute, Ohio State University, Columbus, OH, USA
| | - Olivier Zablocki
- Center of Microbiome Science, Ohio State University, Columbus, OH, USA
- Department of Microbiology, Ohio State University, Columbus, OH, USA
| | - Matthew B Sullivan
- Center of Microbiome Science, Ohio State University, Columbus, OH, USA
- Department of Microbiology, Ohio State University, Columbus, OH, USA
- Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, USA
| | - Balasubrahmanyam Addepalli
- Rieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, Cincinnati, OH, USA
| | - Li Wu
- Department of Microbiology and Immunology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Sanggu Kim
- Center for Retrovirus Research, Ohio State University, Columbus, OH, USA.
- Department of Veterinary Biosciences, Ohio State University, Columbus, OH, USA.
- Infectious Diseases Institute, Ohio State University, Columbus, OH, USA.
- Translational Data Analytics Institute, Ohio State University, Columbus, OH, USA.
- Center for RNA Biology, Ohio State University, Columbus, OH, USA.
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16
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Cao L, Han R, Zhao Y, Qin X, Li Q, Xiong H, Kong Y, Liu Z, Li Z, Dong F, Li T, Zhao X, Lei L, Zhao Q, Liu D, Wang B, Wu X. A LATS2 and ALKBH5 positive feedback loop supports their oncogenic roles. Cell Rep 2024; 43:114032. [PMID: 38568805 DOI: 10.1016/j.celrep.2024.114032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/09/2024] [Accepted: 03/18/2024] [Indexed: 04/05/2024] Open
Abstract
N(6)-methyladenosine (m6A) critically regulates RNA dynamics in various biological processes. The m6A demethylase ALKBH5 promotes tumorigenesis of glioblastoma, while the intricate web that orchestrates its regulation remains enigmatic. Here, we discover that cell density affects ALKBH5 subcellular localization and m6A dynamics. Mechanistically, ALKBH5 is phosphorylated by the large tumor suppressor kinase 2 (LATS2), preventing its nuclear export and enhancing protein stability. Furthermore, phosphorylated ALKBH5 reciprocally erases m6A from LATS2 mRNA, thereby stabilizing this transcript. Unexpectedly, LATS2 depletion suppresses glioblastoma stem cell self-renewal independent of yes-associated protein activation. Additionally, deficiency in either LATS2 or ALKBH5 phosphorylation impedes tumor progression in mouse xenograft models. Moreover, high levels of LATS2 expression and ALKBH5 phosphorylation are associated with tumor malignancy in patients with gliomas. Collectively, our study unveils an oncogenic positive feedback loop between LATS2 and ALKBH5, revealing a non-canonical branch of the Hippo pathway for RNA processing and suggesting potential anti-cancer interventions.
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Affiliation(s)
- Lei Cao
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Ruohui Han
- Department of Endodontics and Laboratory of Stem Cells Endocrine Immunology, Tianjin Medical University School and Hospital of Stomatology, Tianjin 300070, China
| | - Yingying Zhao
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Xiaoyang Qin
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Qian Li
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Hui Xiong
- Department of Immunology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Yu Kong
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Ziyi Liu
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Zexing Li
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China; School of Life Sciences, Tianjin University, Tianjin 300072, China
| | - Feng Dong
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Ting Li
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Xiujuan Zhao
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Lei Lei
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Qian Zhao
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China
| | - Dayong Liu
- Department of Endodontics and Laboratory of Stem Cells Endocrine Immunology, Tianjin Medical University School and Hospital of Stomatology, Tianjin 300070, China
| | - Baofeng Wang
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xudong Wu
- State Key Laboratory of Experimental Hematology, the Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Department of Cell Biology, Tianjin Medical University, Qixiangtai Road 22, Tianjin 300070, China; Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
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17
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Swaffer MP, Marinov GK, Zheng H, Fuentes Valenzuela L, Tsui CY, Jones AW, Greenwood J, Kundaje A, Greenleaf WJ, Reyes-Lamothe R, Skotheim JM. RNA polymerase II dynamics and mRNA stability feedback scale mRNA amounts with cell size. Cell 2023; 186:5254-5268.e26. [PMID: 37944513 DOI: 10.1016/j.cell.2023.10.012] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/16/2023] [Accepted: 10/10/2023] [Indexed: 11/12/2023]
Abstract
A fundamental feature of cellular growth is that total protein and RNA amounts increase with cell size to keep concentrations approximately constant. A key component of this is that global transcription rates increase in larger cells. Here, we identify RNA polymerase II (RNAPII) as the limiting factor scaling mRNA transcription with cell size in budding yeast, as transcription is highly sensitive to the dosage of RNAPII but not to other components of the transcriptional machinery. Our experiments support a dynamic equilibrium model where global RNAPII transcription at a given size is set by the mass action recruitment kinetics of unengaged nucleoplasmic RNAPII to the genome. However, this only drives a sub-linear increase in transcription with size, which is then partially compensated for by a decrease in mRNA decay rates as cells enlarge. Thus, limiting RNAPII and feedback on mRNA stability work in concert to scale mRNA amounts with cell size.
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Affiliation(s)
| | - Georgi K Marinov
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Huan Zheng
- Department of Biology, McGill University, Montreal, QC H3G 0B1, Canada
| | | | - Crystal Yee Tsui
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | | | | | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | | | | | - Jan M Skotheim
- Department of Biology, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
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18
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Wang C, Hou X, Guan Q, Zhou H, Zhou L, Liu L, Liu J, Li F, Li W, Liu H. RNA modification in cardiovascular disease: implications for therapeutic interventions. Signal Transduct Target Ther 2023; 8:412. [PMID: 37884527 PMCID: PMC10603151 DOI: 10.1038/s41392-023-01638-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 08/15/2023] [Accepted: 09/03/2023] [Indexed: 10/28/2023] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death in the world, with a high incidence and a youth-oriented tendency. RNA modification is ubiquitous and indispensable in cell, maintaining cell homeostasis and function by dynamically regulating gene expression. Accumulating evidence has revealed the role of aberrant gene expression in CVD caused by dysregulated RNA modification. In this review, we focus on nine common RNA modifications: N6-methyladenosine (m6A), N1-methyladenosine (m1A), 5-methylcytosine (m5C), N7-methylguanosine (m7G), N4-acetylcytosine (ac4C), pseudouridine (Ψ), uridylation, adenosine-to-inosine (A-to-I) RNA editing, and modifications of U34 on tRNA wobble. We summarize the key regulators of RNA modification and their effects on gene expression, such as RNA splicing, maturation, transport, stability, and translation. Then, based on the classification of CVD, the mechanisms by which the disease occurs and progresses through RNA modifications are discussed. Potential therapeutic strategies, such as gene therapy, are reviewed based on these mechanisms. Herein, some of the CVD (such as stroke and peripheral vascular disease) are not included due to the limited availability of literature. Finally, the prospective applications and challenges of RNA modification in CVD are discussed for the purpose of facilitating clinical translation. Moreover, we look forward to more studies exploring the mechanisms and roles of RNA modification in CVD in the future, as there are substantial uncultivated areas to be explored.
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Affiliation(s)
- Cong Wang
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Xuyang Hou
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Qing Guan
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Huiling Zhou
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Li Zhou
- Department of Pathology, National Clinical Research Center for Geriatric Disorders, The Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Lijun Liu
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jijia Liu
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Feng Li
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Wei Li
- Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Haidan Liu
- Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
- Clinical Center for Gene Diagnosis and Therapy, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
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19
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Hagkarim NC, Hajkarim MC, Suzuki T, Fujiwara T, Winkler GS, Stewart GS, Grand RJ. Disruption of the Mammalian Ccr4-Not Complex Contributes to Transcription-Mediated Genome Instability. Cells 2023; 12:1868. [PMID: 37508532 PMCID: PMC10378556 DOI: 10.3390/cells12141868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 06/26/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023] Open
Abstract
The mammalian Ccr4-Not complex, carbon catabolite repression 4 (Ccr4)-negative on TATA-less (Not), is a large, highly conserved, multifunctional assembly of proteins that acts at different cellular levels to regulate gene expression. It is involved in the control of the cell cycle, chromatin modification, activation and inhibition of transcription initiation, control of transcription elongation, RNA export, and nuclear RNA surveillance; the Ccr4-Not complex also plays a central role in the regulation of mRNA decay. Growing evidence suggests that gene transcription has a vital role in shaping the landscape of genome replication and is also a potent source of replication stress and genome instability. Here, we have examined the effects of the inactivation of the Ccr4-Not complex, via the depletion of the scaffold subunit CNOT1, on DNA replication and genome integrity in mammalian cells. In CNOT1-depleted cells, the elevated expression of the general transcription factor TATA-box binding protein (TBP) leads to increased RNA synthesis, which, together with R-loop accumulation, results in replication fork slowing, DNA damage, and senescence. Furthermore, we have shown that the stability of TBP mRNA increases in the absence of CNOT1, which may explain its elevated protein expression in CNOT1-depleted cells. Finally, we have shown the activation of mitogen-activated protein kinase signalling as evidenced by ERK1/2 phosphorylation in the absence of CNOT1, which may be responsible for the observed cell cycle arrest at the border of G1/S.
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Affiliation(s)
- Nafiseh Chalabi Hagkarim
- Institute for Cancer and Genomic Sciences, The Medical School, University of Birmingham, Birmingham B15 2TT, UK
| | - Morteza Chalabi Hajkarim
- Department of Medicine Haematology & Oncology, Columbia University, New York City, NY 10032, USA
| | - Toru Suzuki
- Division of RNA and Gene Regulation, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Toshinobu Fujiwara
- Laboratory of Biochemistry, Kindai University, Higashi-Osaka City 577-8502, Japan
| | | | - Grant S Stewart
- Institute for Cancer and Genomic Sciences, The Medical School, University of Birmingham, Birmingham B15 2TT, UK
| | - Roger J Grand
- Institute for Cancer and Genomic Sciences, The Medical School, University of Birmingham, Birmingham B15 2TT, UK
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20
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García-Martínez J, Singh A, Medina D, Chávez S, Pérez-Ortín JE. Enhanced gene regulation by cooperation between mRNA decay and gene transcription. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2023; 1866:194910. [PMID: 36731791 PMCID: PMC10663100 DOI: 10.1016/j.bbagrm.2023.194910] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 01/31/2023]
Abstract
It has become increasingly clear in the last few years that gene expression in eukaryotes is not a linear process from mRNA synthesis in the nucleus to translation and degradation in the cytoplasm, but works as a circular one where the mRNA level is controlled by crosstalk between nuclear transcription and cytoplasmic decay pathways. One of the consequences of this crosstalk is the approximately constant level of mRNA. This is called mRNA buffering and happens when transcription and mRNA degradation act at compensatory rates. However, if transcription and mRNA degradation act additively, enhanced gene expression regulation occurs. In this work, we analyzed new and previously published genomic datasets obtained for several yeast mutants related to either transcription or mRNA decay that are not known to play any role in the other process. We show that some, which were presumed only transcription factors (Sfp1) or only decay factors (Puf3, Upf2/3), may represent examples of RNA-binding proteins (RBPs) that make specific crosstalk to enhance the control of the mRNA levels of their target genes by combining additive effects on transcription and mRNA stability. These results were mathematically modeled to see the effects of RBPs when they have positive or negative effects on mRNA synthesis and decay rates. We found that RBPs can be an efficient way to buffer or enhance gene expression responses depending on their respective effects on transcription and mRNA stability.
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Affiliation(s)
- José García-Martínez
- Instituto de Biotecnología y Biomedicina (Biotecmed), Facultad de Biológicas, Universitat de València, C/Dr. Moliner 50, E46100 Burjassot, Spain
| | - Abhyudai Singh
- Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA
| | - Daniel Medina
- Instituto de Biotecnología y Biomedicina (Biotecmed), Facultad de Biológicas, Universitat de València, C/Dr. Moliner 50, E46100 Burjassot, Spain
| | - Sebastián Chávez
- Departamento de Genética, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Virgen del Rocío-CSIC-Universidad de Sevilla, 41013 Seville, Spain; Dirección de Evaluación y Acreditación, Agencia Andaluza del Conocimiento, Doña Berenguela s/n, planta 3ª C.P. 14006, Córdoba, Spain
| | - José E Pérez-Ortín
- Instituto de Biotecnología y Biomedicina (Biotecmed), Facultad de Biológicas, Universitat de València, C/Dr. Moliner 50, E46100 Burjassot, Spain.
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21
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Savoca V, Rivosecchi J, Gaiatto A, Rossi A, Mosca R, Gialdini I, Zubovic L, Tebaldi T, Macchi P, Cusanelli E. TERRA stability is regulated by RALY and polyadenylation in a telomere-specific manner. Cell Rep 2023; 42:112406. [PMID: 37060569 DOI: 10.1016/j.celrep.2023.112406] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 01/25/2023] [Accepted: 03/31/2023] [Indexed: 04/16/2023] Open
Abstract
Telomeric repeat-containing RNA (TERRA) is a long non-coding RNA transcribed from telomeres that plays key roles in telomere maintenance. A fraction of TERRA is polyadenylated, and the presence of the poly(A) tail influences TERRA localization and stability. However, the mechanisms of TERRA biogenesis remain mostly elusive. Here, we show that the stability of TERRA transcripts is regulated by the RNA-binding protein associated with lethal yellow mutation (RALY). RALY depletion results in lower TERRA levels, impaired localization of TERRA at telomeres, and ultimately telomere damage. Importantly, we show that TERRA polyadenylation is telomere specific and that RALY preferentially stabilizes non-polyadenylated TERRA transcripts. Finally, we report that TERRA interacts with the poly(A)-binding protein nuclear 1 (PABPN1). Altogether, our results indicate that TERRA stability is regulated by the interplay between RALY and PABPN1, defined by the TERRA polyadenylation state. Our findings also suggest that different telomeres may trigger distinct TERRA-mediated responses.
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Affiliation(s)
- Valeria Savoca
- Laboratory of Cell Biology and Molecular Genetics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy
| | - Julieta Rivosecchi
- Laboratory of Cell Biology and Molecular Genetics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy
| | - Alice Gaiatto
- Laboratory of Cell Biology and Molecular Genetics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy
| | - Annalisa Rossi
- Laboratory of Molecular and Cellular Neurobiology, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy
| | - Riccardo Mosca
- Laboratory of Cell Biology and Molecular Genetics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy
| | - Irene Gialdini
- Laboratory of Cell Biology and Molecular Genetics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy
| | - Lorena Zubovic
- Laboratory of Molecular and Cellular Neurobiology, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy
| | - Toma Tebaldi
- Laboratory of RNA and Disease Data Science, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy; Section of Hematology, Department of Internal Medicine, Yale Comprehensive Cancer Center, Yale University School of Medicine, New Haven, CT, USA
| | - Paolo Macchi
- Laboratory of Molecular and Cellular Neurobiology, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy.
| | - Emilio Cusanelli
- Laboratory of Cell Biology and Molecular Genetics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, via Sommarive 9, 38123 Trento, Povo, Italy.
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22
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Rodrigues DC, Mufteev M, Yuki KE, Narula A, Wei W, Piekna A, Liu J, Pasceri P, Rissland OS, Wilson MD, Ellis J. Buffering of transcription rate by mRNA half-life is a conserved feature of Rett syndrome models. Nat Commun 2023; 14:1896. [PMID: 37019888 PMCID: PMC10076348 DOI: 10.1038/s41467-023-37339-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 03/13/2023] [Indexed: 04/07/2023] Open
Abstract
Transcriptional changes in Rett syndrome (RTT) are assumed to directly correlate with steady-state mRNA levels, but limited evidence in mice suggests that changes in transcription can be compensated by post-transcriptional regulation. We measure transcription rate and mRNA half-life changes in RTT patient neurons using RATEseq, and re-interpret nuclear and whole-cell RNAseq from Mecp2 mice. Genes are dysregulated by changing transcription rate or half-life and are buffered when both change. We utilized classifier models to predict the direction of transcription rate changes and find that combined frequencies of three dinucleotides are better predictors than CA and CG. MicroRNA and RNA-binding Protein (RBP) motifs are enriched in 3'UTRs of genes with half-life changes. Nuclear RBP motifs are enriched on buffered genes with increased transcription rate. We identify post-transcriptional mechanisms in humans and mice that alter half-life or buffer transcription rate changes when a transcriptional modulator gene is mutated in a neurodevelopmental disorder.
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Affiliation(s)
- Deivid C Rodrigues
- Developmental & Stem Cell Biology, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Marat Mufteev
- Developmental & Stem Cell Biology, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Kyoko E Yuki
- Genetics & Genome Biology, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Ashrut Narula
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
- Molecular Medicine, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Wei Wei
- Developmental & Stem Cell Biology, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Alina Piekna
- Developmental & Stem Cell Biology, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Jiajie Liu
- Developmental & Stem Cell Biology, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Peter Pasceri
- Developmental & Stem Cell Biology, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - Olivia S Rissland
- Molecular Medicine, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
- RNA Bioscience Initiative and Department of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Michael D Wilson
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
- Genetics & Genome Biology, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada
| | - James Ellis
- Developmental & Stem Cell Biology, Hospital for Sick Children, Toronto, ON, M5G 0A4, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada.
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23
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Brouze A, Krawczyk PS, Dziembowski A, Mroczek S. Measuring the tail: Methods for poly(A) tail profiling. WILEY INTERDISCIPLINARY REVIEWS. RNA 2023; 14:e1737. [PMID: 35617484 PMCID: PMC10078590 DOI: 10.1002/wrna.1737] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 01/31/2023]
Abstract
The 3'-end poly(A) tail is an important and potent feature of most mRNA molecules that affects mRNA fate and translation efficiency. Polyadenylation is a posttranscriptional process that occurs in the nucleus by canonical poly(A) polymerases (PAPs). In some specific instances, the poly(A) tail can also be extended in the cytoplasm by noncanonical poly(A) polymerases (ncPAPs). This epitranscriptomic regulation of mRNA recently became one of the most interesting aspects in the field. Advances in RNA sequencing technologies and software development have allowed the precise measurement of poly(A) tails, identification of new ncPAPs, expansion of the function of known enzymes, discovery and a better understanding of the physiological role of tail heterogeneity, and recognition of a correlation between tail length and RNA translatability. Here, we summarize the development of polyadenylation research methods, including classic low-throughput approaches, Illumina-based genome-wide analysis, and advanced state-of-art techniques that utilize long-read third-generation sequencing with Pacific Biosciences and Oxford Nanopore Technologies platforms. A boost in technical opportunities over recent decades has allowed a better understanding of the regulation of gene expression at the mRNA level. This article is categorized under: RNA Methods > RNA Analyses In Vitro and In Silico.
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Affiliation(s)
- Aleksandra Brouze
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, Warsaw, Poland
| | - Paweł Szczepan Krawczyk
- Laboratory of RNA Biology, International Institute of Molecular and Cell Biology, Warsaw, Poland
| | - Andrzej Dziembowski
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, Warsaw, Poland.,Laboratory of RNA Biology, International Institute of Molecular and Cell Biology, Warsaw, Poland.,Department of Embryology, Faculty of Biology, University of Warsaw, Warsaw, Poland
| | - Seweryn Mroczek
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, Warsaw, Poland.,Laboratory of RNA Biology, International Institute of Molecular and Cell Biology, Warsaw, Poland
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24
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Luo H, Liu W, Zhou Y, Zhang Y, Wu J, Wang R, Shao L. Stage-specific requirement for METTL3-dependent m 6A modification during dental pulp stem cell differentiation. J Transl Med 2022; 20:605. [PMID: 36527141 PMCID: PMC9756505 DOI: 10.1186/s12967-022-03814-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND N6-methyladenosine (m6A) is the most prevalent epigenetic modification in eukaryotic messenger RNAs and plays a critical role in cell fate transition. However, it remains to be elucidated how m6A marks functionally impact the transcriptional cascades that orchestrate stem cell differentiation. The present study focuses on the biological function and mechanism of m6A methylation in dental pulp stem cell (DPSC) differentiation. METHODS m6A RNA immunoprecipitation sequencing was utilized to assess the m6A-mRNA landscape during DPSC differentiation. Ectopic transplantation of DPSCs in immunodeficient mice was conducted to verify the in vitro findings. RNA sequencing and m6A RNA immunoprecipitation sequencing were combined to identify the candidate targets. RNA immunoprecipitation and RNA/protein stability of Noggin (NOG) were evaluated. The alteration in poly(A) tail was measured by 3'-RACE and poly(A) tail length assays. RESULTS We characterized a dynamic m6A-mRNA landscape during DPSC mineralization with increasing enrichment in the 3' untranslated region (UTR). Methyltransferase-like 3 (METTL3) was identified as the key m6A player, and METTL3 knockdown disrupted functional DPSC differentiation. Moreover, METTL3 overexpression enhanced DPSC mineralization. Increasing m6A deposition in the 3' UTR restricted NOG expression, which is required for DPSC mineralization. This stage-specific m6A methylation and destabilization of NOG was suppressed by METTL3 knockdown only in differentiated DPSCs. Furthermore, METTL3 promotes the degradation of m6A-tagged NOG by shortening the poly(A) tail length in the differentiated stage. CONCLUSIONS Our results address an essential role of dynamic m6A signaling in the temporal control of DPSC differentiation and provide new insight into epitranscriptomic mechanisms in stem cell-based therapy.
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Affiliation(s)
- Haiyun Luo
- grid.284723.80000 0000 8877 7471Stomatological Hospital, Southern Medical University, 366 Jiangnan Avenue South, Guangzhou, 510280 China
| | - Wenjing Liu
- grid.284723.80000 0000 8877 7471Stomatological Hospital, Southern Medical University, 366 Jiangnan Avenue South, Guangzhou, 510280 China
| | - Yachuan Zhou
- grid.13291.380000 0001 0807 1581State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041 China
| | - Yanli Zhang
- grid.284723.80000 0000 8877 7471Stomatological Hospital, Southern Medical University, 366 Jiangnan Avenue South, Guangzhou, 510280 China
| | - Junrong Wu
- grid.284723.80000 0000 8877 7471Stomatological Hospital, Southern Medical University, 366 Jiangnan Avenue South, Guangzhou, 510280 China
| | - Ruolan Wang
- grid.284723.80000 0000 8877 7471Stomatological Hospital, Southern Medical University, 366 Jiangnan Avenue South, Guangzhou, 510280 China
| | - Longquan Shao
- grid.284723.80000 0000 8877 7471Stomatological Hospital, Southern Medical University, 366 Jiangnan Avenue South, Guangzhou, 510280 China
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25
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Abstract
The most fundamental feature of cellular form is size, which sets the scale of all cell biological processes. Growth, form, and function are all necessarily linked in cell biology, but we often do not understand the underlying molecular mechanisms nor their specific functions. Here, we review progress toward determining the molecular mechanisms that regulate cell size in yeast, animals, and plants, as well as progress toward understanding the function of cell size regulation. It has become increasingly clear that the mechanism of cell size regulation is deeply intertwined with basic mechanisms of biosynthesis, and how biosynthesis can be scaled (or not) in proportion to cell size. Finally, we highlight recent findings causally linking aberrant cell size regulation to cellular senescence and their implications for cancer therapies.
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Affiliation(s)
- Shicong Xie
- Department of Biology, Stanford University, Stanford, California, USA;
| | - Matthew Swaffer
- Department of Biology, Stanford University, Stanford, California, USA;
| | - Jan M Skotheim
- Department of Biology, Stanford University, Stanford, California, USA;
- Chan Zuckerberg Biohub, San Francisco, California, USA
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26
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Ming Y, Deng Z, Tian X, Jia Y, Ning M, Cheng S. m6A Methyltransferase METTL3 Reduces Hippocampal Neuron Apoptosis in a Mouse Model of Autism Through the MALAT1/SFRP2/Wnt/β-catenin Axis. Psychiatry Investig 2022; 19:771-787. [PMID: 36327957 PMCID: PMC9633173 DOI: 10.30773/pi.2021.0370] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 07/05/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE Hippocampal neuron apoptosis contributes to autism, while METTL3 has been documented to possess great potentials in neuron apoptosis. Our study probed into the role of METTL3 in neuron apoptosis in autism and to determine the underlying mechanism. METHODS Bioinformatics analysis was used to analyze expressed genes in autism samples. Institute of Cancer Research mice were treated with valproic acid to develop autism models. The function of METTL3 in autism-like symptoms in mice was analyzed with behavioral tests and histological examination of their hippocampal tissues. Primary mouse hippocampal neurons were extracted for in vitro studies. Downstream factors of METTL3 were explored and validated. RESULTS METTL3, MALAT1, and Wnt/β-catenin signaling were downregulated, while SFRP2 was upregulated in the hippocampal tissues of a mouse model of autism. METTL3 stabilized MALAT1 expression by promoting m6A modification of MALAT1. MALAT1 promoted SFRP2 methylation and led to reduced SFRP2 expression by recruiting DNMT1, DNMT3A, and DNMT3B to the promoter region of SFRP2. Furthermore, SFRP2 facilitated activation of the Wnt/β-catenin signaling. By this mechanism, METTL3 suppressed autism-like symptoms and hippocampal neuron apoptosis. CONCLUSION This research suggests that METTL3 can reduce autism-like symptoms and hippocampal neuron apoptosis by regulating the MALAT1/SFRP2/Wnt/β-catenin axis.
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Affiliation(s)
- Yue Ming
- Department of Applied Psychology, College of Teacher Education, Qiqihar University, Qiqihar, China
| | - Zhihui Deng
- Institute of Medicine and Pharmacy, Qiqihar Medical University, Qiqihar, China
| | - Xianhua Tian
- Department of Applied Psychology, College of Teacher Education, Qiqihar University, Qiqihar, China
| | - Yuerong Jia
- Department of Applied Psychology, College of Teacher Education, Qiqihar University, Qiqihar, China
| | - Meng Ning
- Department of Applied Psychology, College of Teacher Education, Qiqihar University, Qiqihar, China
| | - Shuhua Cheng
- Department of Applied Psychology, College of Teacher Education, Qiqihar University, Qiqihar, China
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Alzahrani MR, Guan BJ, Zagore LL, Wu J, Chen CW, Licatalosi DD, Baker KE, Hatzoglou M. Newly synthesized mRNA escapes translational repression during the acute phase of the mammalian unfolded protein response. PLoS One 2022; 17:e0271695. [PMID: 35947624 PMCID: PMC9365188 DOI: 10.1371/journal.pone.0271695] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 07/06/2022] [Indexed: 11/19/2022] Open
Abstract
Endoplasmic Reticulum (ER) stress, caused by the accumulation of misfolded proteins in the ER, elicits a homeostatic mechanism known as the Unfolded Protein Response (UPR). The UPR reprograms gene expression to promote adaptation to chronic ER stress. The UPR comprises an acute phase involving inhibition of bulk protein synthesis and a chronic phase of transcriptional induction coupled with the partial recovery of protein synthesis. However, the role of transcriptional regulation in the acute phase of the UPR is not well understood. Here we analyzed the fate of newly synthesized mRNA encoding the protective and homeostatic transcription factor X-box binding protein 1 (XBP1) during this acute phase. We have previously shown that global translational repression induced by the acute UPR was characterized by decreased translation and increased stability of XBP1 mRNA. We demonstrate here that this stabilization is independent of new transcription. In contrast, we show XBP1 mRNA newly synthesized during the acute phase accumulates with long poly(A) tails and escapes translational repression. Inhibition of newly synthesized RNA polyadenylation during the acute phase decreased cell survival with no effect in unstressed cells. Furthermore, during the chronic phase of the UPR, levels of XBP1 mRNA with long poly(A) tails decreased in a manner consistent with co-translational deadenylation. Finally, additional pro-survival, transcriptionally-induced mRNAs show similar regulation, supporting the broad significance of the pre-steady state UPR in translational control during ER stress. We conclude that the biphasic regulation of poly(A) tail length during the UPR represents a previously unrecognized pro-survival mechanism of mammalian gene regulation.
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Affiliation(s)
- Mohammed R. Alzahrani
- Department of Biochemistry, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Bo-Jhih Guan
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Leah L. Zagore
- Department of Biochemistry, Case Western Reserve University, Cleveland, Ohio, United States of America
- Center for RNA Science and Therapeutics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Jing Wu
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Chien-Wen Chen
- Department of Biochemistry, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Donny D. Licatalosi
- Department of Biochemistry, Case Western Reserve University, Cleveland, Ohio, United States of America
- Center for RNA Science and Therapeutics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Kristian E. Baker
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Maria Hatzoglou
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
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28
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Slobodin B, Sehrawat U, Lev A, Hayat D, Zuckerman B, Fraticelli D, Ogran A, Ben-Shmuel A, Bar-David E, Levy H, Ulitsky I, Dikstein R. Cap-independent translation and a precisely located RNA sequence enable SARS-CoV-2 to control host translation and escape anti-viral response. Nucleic Acids Res 2022; 50:8080-8092. [PMID: 35849342 PMCID: PMC9371909 DOI: 10.1093/nar/gkac615] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 06/09/2022] [Accepted: 07/04/2022] [Indexed: 12/29/2022] Open
Abstract
Translation of SARS-CoV-2-encoded mRNAs by the host ribosomes is essential for its propagation. Following infection, the early expressed viral protein NSP1 binds the ribosome, represses translation, and induces mRNA degradation, while the host elicits an anti-viral response. The mechanisms enabling viral mRNAs to escape this multifaceted repression remain obscure. Here we show that expression of NSP1 leads to destabilization of multi-exon cellular mRNAs, while intron-less transcripts, such as viral mRNAs and anti-viral interferon genes, remain relatively stable. We identified a conserved and precisely located cap-proximal RNA element devoid of guanosines that confers resistance to NSP1-mediated translation inhibition. Importantly, the primary sequence rather than the secondary structure is critical for protection. We further show that the genomic 5'UTR of SARS-CoV-2 drives cap-independent translation and promotes expression of NSP1 in an eIF4E-independent and Torin1-resistant manner. Upon expression, NSP1 further enhances cap-independent translation. However, the sub-genomic 5'UTRs are highly sensitive to eIF4E availability, rendering viral propagation partially sensitive to Torin1. We conclude that the combined NSP1-mediated degradation of spliced mRNAs and translation inhibition of single-exon genes, along with the unique features present in the viral 5'UTRs, ensure robust expression of viral mRNAs. These features can be exploited as potential therapeutic targets.
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Affiliation(s)
- Boris Slobodin
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 76100, Israel
| | - Urmila Sehrawat
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 76100, Israel.,Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Anastasia Lev
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 76100, Israel
| | - Daniel Hayat
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 76100, Israel
| | - Binyamin Zuckerman
- Department of Biological Regulation, The Weizmann Institute of Science, Rehovot 76100, Israel.,Gladstone/UCSF Center for Cell Circuitry, Gladstone Institutes, San Francisco, CA 94158, USA
| | - Davide Fraticelli
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 76100, Israel
| | - Ariel Ogran
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 76100, Israel
| | - Amir Ben-Shmuel
- Department of Infectious Diseases, Israel Institute for Biological Research, Ness-Ziona 7410001 Israel
| | - Elad Bar-David
- Department of Infectious Diseases, Israel Institute for Biological Research, Ness-Ziona 7410001 Israel
| | - Haim Levy
- Department of Infectious Diseases, Israel Institute for Biological Research, Ness-Ziona 7410001 Israel
| | - Igor Ulitsky
- Department of Biological Regulation, The Weizmann Institute of Science, Rehovot 76100, Israel
| | - Rivka Dikstein
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot 76100, Israel
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29
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Pérez-Ortín JE, Chávez S. Nucleo-cytoplasmic shuttling of RNA-binding factors: mRNA buffering and beyond. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2022; 1865:194849. [PMID: 35907432 DOI: 10.1016/j.bbagrm.2022.194849] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/18/2022] [Accepted: 07/23/2022] [Indexed: 06/15/2023]
Abstract
Gene expression is a highly regulated process that adapts RNAs and proteins content to the cellular context. Under steady-state conditions, mRNA homeostasis is robustly maintained by tight controls that act on both nuclear transcription and cytoplasmic mRNA stability. In recent years, it has been revealed that several RNA-binding proteins (RBPs) that perform functions in mRNA decay can move to the nucleus and regulate transcription. The RBPs involved in transcription can also travel to the cytoplasm and regulate mRNA degradation and/or translation. The multifaceted functions of these shuttling nucleo-cytoplasm RBPs have raised the possibility that they can act as mRNA metabolism coordinators. In addition, this indicates the existence of crosstalk mechanisms between the enzymatic machineries that drive the different mRNA life-cycle phases. The buffering of the mRNA concentration is the best known consequence of a transcription-degradation crosstalk counteraction, but alternative ways of RBP action can also imply enhanced gene regulation.
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Affiliation(s)
- José E Pérez-Ortín
- Instituto de Biotecnología y Biomedicina (Biotecmed), Facultad de Biológicas, Universitat de València. C/Dr. Moliner 50, E46100 Burjassot, Spain.
| | - Sebastián Chávez
- Departamento de Genética, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Virgen del Rocío-CSIC-Universidad de Sevilla, 41013 Seville, Spain; Dirección de Evaluación y Acreditación, Agencia Andaluza del Conocimiento, Doña Berenguela s/n, planta 3ª C.P., 14006 Córdoba, Spain
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30
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Chappleboim A, Joseph-Strauss D, Gershon O, Friedman N. Transcription feedback dynamics in the wake of cytoplasmic mRNA degradation shutdown. Nucleic Acids Res 2022; 50:5864-5880. [PMID: 35640599 PMCID: PMC9177992 DOI: 10.1093/nar/gkac411] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/02/2022] [Accepted: 05/09/2022] [Indexed: 01/02/2023] Open
Abstract
In the last decade, multiple studies demonstrated that cells maintain a balance of mRNA production and degradation, but the mechanisms by which cells implement this balance remain unknown. Here, we monitored cells' total and recently-transcribed mRNA profiles immediately following an acute depletion of Xrn1-the main 5'-3' mRNA exonuclease-which was previously implicated in balancing mRNA levels. We captured the detailed dynamics of the adaptation to rapid degradation of Xrn1 and observed a significant accumulation of mRNA, followed by a delayed global reduction in transcription and a gradual return to baseline mRNA levels. We found that this transcriptional response is not unique to Xrn1 depletion; rather, it is induced earlier when upstream factors in the 5'-3' degradation pathway are perturbed. Our data suggest that the mRNA feedback mechanism monitors the accumulation of inputs to the 5'-3' exonucleolytic pathway rather than its outputs.
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Affiliation(s)
- Alon Chappleboim
- Alexander Silberman Institute of Life Science, Hebrew University of Jerusalem, Jerusalem 9190401, Israel
- Rachel and Selim Benin School of Computer Science, Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - Daphna Joseph-Strauss
- Alexander Silberman Institute of Life Science, Hebrew University of Jerusalem, Jerusalem 9190401, Israel
- Rachel and Selim Benin School of Computer Science, Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - Omer Gershon
- Alexander Silberman Institute of Life Science, Hebrew University of Jerusalem, Jerusalem 9190401, Israel
- Rachel and Selim Benin School of Computer Science, Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - Nir Friedman
- Alexander Silberman Institute of Life Science, Hebrew University of Jerusalem, Jerusalem 9190401, Israel
- Rachel and Selim Benin School of Computer Science, Hebrew University of Jerusalem, Jerusalem 9190401, Israel
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31
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Mechanisms of cellular mRNA transcript homeostasis. Trends Cell Biol 2022; 32:655-668. [PMID: 35660047 DOI: 10.1016/j.tcb.2022.05.003] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 05/08/2022] [Accepted: 05/09/2022] [Indexed: 11/20/2022]
Abstract
For most genes, mRNA transcript abundance scales with cell size to ensure a constant concentration. Scaling of mRNA synthesis rates with cell size plays an important role, with regulation of the activity and abundance of RNA polymerase II (Pol II) now emerging as a key point of control. However, there is also considerable evidence for feedback mechanisms that kinetically couple the rates of mRNA synthesis, nuclear export, and degradation to allow cells to compensate for changes in one by adjusting the others. Researchers are beginning to integrate results from these different fields to reveal the mechanisms underlying transcript homeostasis. This will be crucial for moving beyond our current understanding of relative gene expression towards an appreciation of how absolute transcript levels are linked to other aspects of the cellular phenotype.
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32
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Berry S, Müller M, Rai A, Pelkmans L. Feedback from nuclear RNA on transcription promotes robust RNA concentration homeostasis in human cells. Cell Syst 2022; 13:454-470.e15. [PMID: 35613616 DOI: 10.1016/j.cels.2022.04.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 12/13/2021] [Accepted: 04/21/2022] [Indexed: 12/18/2022]
Abstract
RNA concentration homeostasis involves coordinating RNA abundance and synthesis rates with cell size. Here, we study this in human cells by combining genome-wide perturbations with quantitative single-cell measurements. Despite relative ease in perturbing RNA synthesis, we find that RNA concentrations generally remain highly constant. Perturbations that would be expected to increase nuclear mRNA levels, including those targeting nuclear mRNA degradation or export, result in downregulation of RNA synthesis. This is associated with reduced abundance of transcription-associated proteins and protein states that are normally coordinated with RNA production in single cells, including RNA polymerase II (RNA Pol II) itself. Acute perturbations, elevation of nuclear mRNA levels, and mathematical modeling indicate that mammalian cells achieve robust mRNA concentration homeostasis by the mRNA-based negative feedback on transcriptional activity in the nucleus. This ultimately acts to coordinate RNA Pol II abundance with nuclear mRNA degradation and export rates and may underpin the scaling of mRNA abundance with cell size.
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Affiliation(s)
- Scott Berry
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland; EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.
| | - Micha Müller
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Arpan Rai
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Lucas Pelkmans
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
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33
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Ran Y, Huang S, Shi J, Feng Q, Deng Y, Xiang AP, Yao C. CFIm25 regulates human stem cell function independently of its role in mRNA alternative polyadenylation. RNA Biol 2022; 19:686-702. [PMID: 35491945 PMCID: PMC9067535 DOI: 10.1080/15476286.2022.2071025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
It has recently been shown that CFIm25, a canonical mRNA 3’ processing factor, could play a variety of physiological roles through its molecular function in the regulation of mRNA alternative polyadenylation (APA). Here, we used CRISPR/Cas9-mediated gene editing approach in human embryonic stem cells (hESCs) for CFIm25, and obtained three gene knockdown/mutant cell lines. CFIm25 gene editing resulted in higher proliferation rate and impaired differentiation potential for hESCs, with these effects likely to be directly regulated by the target genes, including the pluripotency factor rex1. Mechanistically, we unexpected found that perturbation in CFIm25 gene expression did not significantly affect cellular mRNA 3’ processing efficiency and APA profile. Rather, we provided evidences that CFIm25 may impact RNA polymerase II (RNAPII) occupancy at the body of transcribed genes, and promote the expression level of a group of transcripts associated with cellular proliferation and/or differentiation. Taken together, these results reveal novel mechanisms underlying CFIm25ʹs modulation in determination of cell fate, and provide evidence that the process of mammalian gene transcription may be regulated by an mRNA 3’ processing factor.
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Affiliation(s)
- Yi Ran
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou, China
| | - Shanshan Huang
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou, China
| | - Junjie Shi
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou, China
| | - Qiumin Feng
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou, China
| | - Yanhui Deng
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou, China
| | - Andy Peng Xiang
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou, China
| | - Chengguo Yao
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou, China
- Department of Genetics and Cell Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
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34
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Faucillion ML, Johansson AM, Larsson J. Modulation of RNA stability regulates gene expression in two opposite ways: through buffering of RNA levels upon global perturbations and by supporting adapted differential expression. Nucleic Acids Res 2022; 50:4372-4388. [PMID: 35390159 PMCID: PMC9071389 DOI: 10.1093/nar/gkac208] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 03/09/2022] [Accepted: 03/17/2022] [Indexed: 01/02/2023] Open
Abstract
The steady state levels of RNAs, often referred to as expression levels, result from a well-balanced combination of RNA transcription and decay. Alterations in RNA levels will therefore result from tight regulation of transcription rates, decay rates or both. Here, we explore the role of RNA stability in achieving balanced gene expression and present genome-wide RNA stabilities in Drosophila melanogaster male and female cells as well as male cells depleted of proteins essential for dosage compensation. We identify two distinct RNA-stability mediated responses involved in regulation of gene expression. The first of these responds to acute and global changes in transcription and thus counteracts potentially harmful gene mis-expression by shifting the RNA stability in the direction opposite to the transcriptional change. The second response enhances inter-individual differential gene expression by adjusting the RNA stability in the same direction as a transcriptional change. Both mechanisms are global, act on housekeeping as well as non-housekeeping genes and were observed in both flies and mammals. Additionally, we show that, in contrast to mammals, modulation of RNA stability does not detectably contribute to dosage compensation of the sex-chromosomes in D. melanogaster.
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Affiliation(s)
| | | | - Jan Larsson
- Department of Molecular Biology, Umeå University, 901 87 Umeå, Sweden
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35
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Tegowski M, Flamand MN, Meyer KD. scDART-seq reveals distinct m 6A signatures and mRNA methylation heterogeneity in single cells. Mol Cell 2022; 82:868-878.e10. [PMID: 35081365 PMCID: PMC8857065 DOI: 10.1016/j.molcel.2021.12.038] [Citation(s) in RCA: 102] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 12/22/2021] [Accepted: 12/23/2021] [Indexed: 12/14/2022]
Abstract
N6-methyladenosine (m6A) is an abundant RNA modification that plays critical roles in RNA regulation and cellular function. Global m6A profiling has revealed important aspects of m6A distribution and function, but to date such studies have been restricted to large populations of cells. Here, we develop a method to identify m6A sites transcriptome-wide in single cells. We uncover surprising heterogeneity in the presence and abundance of m6A sites across individual cells and identify differentially methylated mRNAs across the cell cycle. Additionally, we show that cellular subpopulations can be distinguished based on their RNA methylation signatures, independent from gene expression. These studies reveal fundamental features of m6A that have been missed by m6A profiling of bulk cells and suggest the presence of cell-intrinsic mechanisms for m6A deposition.
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Affiliation(s)
- Matthew Tegowski
- Department of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA
| | - Mathieu N Flamand
- Department of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA
| | - Kate D Meyer
- Department of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA; Department of Neurobiology, Duke University School of Medicine, Durham, NC 27710, USA.
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36
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Wang S, Lv W, Li T, Zhang S, Wang H, Li X, Wang L, Ma D, Zang Y, Shen J, Xu Y, Wei W. Dynamic regulation and functions of mRNA m6A modification. Cancer Cell Int 2022; 22:48. [PMID: 35093087 PMCID: PMC8800407 DOI: 10.1186/s12935-022-02452-x] [Citation(s) in RCA: 108] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 01/03/2022] [Indexed: 12/27/2022] Open
Abstract
AbstractN6-Methyladenosine (m6A), the most abundant internal modification associated with eukaryotic mRNAs, has emerged as a dynamic regulatory mechanism controlling the expression of genes involved in many physiological activities by affecting various steps of mRNA metabolism, including splicing, export, translation, and stability. Here, we review the general role of m6A, highlighting recent advances related to the three major types enzymes that determine the level of m6A modification (i.e., writers, erasers, and readers) and the regulatory mechanism by which m6A influences multiple stages of RNA metabolism. This review clarifies the close connection and interaction between m6A modification and nuclear gene expression, and provides key background information for further studies of its roles in numerous physiological and pathophysiological processes. Among them, perhaps the most eye-catching process is tumorigenesis. Clarifying the molecular mechanism of tumorigenesis, development and metastasis in various tissues of the human body is conducive to curbing out-of-control cell activities from the root and providing a new strategy for human beings to defeat tumors.
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37
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Vervoort SJ, Devlin JR, Kwiatkowski N, Teng M, Gray NS, Johnstone RW. Targeting transcription cycles in cancer. Nat Rev Cancer 2022; 22:5-24. [PMID: 34675395 DOI: 10.1038/s41568-021-00411-8] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/09/2021] [Indexed: 12/15/2022]
Abstract
Accurate control of gene expression is essential for normal development and dysregulation of transcription underpins cancer onset and progression. Similar to cell cycle regulation, RNA polymerase II-driven transcription can be considered as a unidirectional multistep cycle, with thousands of unique transcription cycles occurring in concert within each cell. Each transcription cycle comprises recruitment, initiation, pausing, elongation, termination and recycling stages that are tightly controlled by the coordinated action of transcriptional cyclin-dependent kinases and their cognate cyclins as well as the opposing activity of transcriptional phosphatases. Oncogenic dysregulation of transcription can entail defective control of gene expression, either at select loci or more globally, impacting a large proportion of the genome. The resultant dependency on the core-transcriptional machinery is believed to render 'transcriptionally addicted' cancers sensitive to perturbation of transcription. Based on these findings, small molecules targeting transcriptional cyclin-dependent kinases and associated proteins hold promise for the treatment of cancer. Here, we utilize the transcription cycles concept to explain how dysregulation of these finely tuned gene expression processes may drive tumorigenesis and how therapeutically beneficial responses may arise from global or selective transcriptional perturbation. This conceptual framework helps to explain tumour-selective transcriptional dependencies and facilitates the rational design of combination therapies.
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Affiliation(s)
- Stephin J Vervoort
- Gene Regulation Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Jennifer R Devlin
- Gene Regulation Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Nicholas Kwiatkowski
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mingxing Teng
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nathanael S Gray
- Department of Chemical and Systems Biology, CHEM-H and SCI, Stanford Medical School, Stanford University, Stanford, CA, USA.
| | - Ricky W Johnstone
- Gene Regulation Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.
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38
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He Y, Chen Q, Zhang J, Yu J, Xia M, Wang X. Pervasive 3'-UTR Isoform Switches During Mouse Oocyte Maturation. Front Mol Biosci 2021; 8:727614. [PMID: 34733887 PMCID: PMC8558312 DOI: 10.3389/fmolb.2021.727614] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 09/29/2021] [Indexed: 12/13/2022] Open
Abstract
Oocyte maturation is the foundation for developing healthy individuals of mammals. Upon germinal vesicle breakdown, oocyte meiosis resumes and the synthesis of new transcripts ceases. To quantitatively profile the transcriptomic dynamics after meiotic resumption throughout the oocyte maturation, we generated transcriptome sequencing data with individual mouse oocytes at three main developmental stages: germinal vesicle (GV), metaphase I (MI), and metaphase II (MII). When clustering the sequenced oocytes, results showed that isoform-level expression analysis outperformed gene-level analysis, indicating isoform expression provided extra information that was useful in distinguishing oocyte stages. Comparing transcriptomes of the oocytes at the GV stage and the MII stage, in addition to identification of differentially expressed genes (DEGs), we detected many differentially expressed transcripts (DETs), some of which came from genes that were not identified as DEGs. When breaking down the isoform-level changes into alternative RNA processing events, we found the main source of isoform composition changes was the alternative usage of polyadenylation sites. With detailed analysis focusing on the alternative usage of 3′-UTR isoforms, we identified, out of 3,810 tested genes, 512 (13.7%) exhibiting significant switches of 3′-UTR isoforms during the process of moues oocyte maturation. Altogether, our data and analyses suggest the importance of examining isoform abundance changes during oocyte maturation, and further investigation of the pervasive 3′-UTR isoform switches in the transition may deepen our understanding on the molecular mechanisms underlying mammalian early development.
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Affiliation(s)
- Yuanlin He
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qiuzhen Chen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
| | - Jing Zhang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
| | - Jing Yu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Meng Xia
- State Key Laboratory of Reproductive Medicine, Clinical Center of Reproductive Medicine, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Xi Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
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39
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Bataclan M, Leoni C, Monticelli S. RNA-binding proteins and RNA methylation in myeloid cells. Immunol Rev 2021; 304:51-61. [PMID: 34523134 PMCID: PMC7615035 DOI: 10.1111/imr.13025] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 08/26/2021] [Accepted: 09/02/2021] [Indexed: 11/30/2022]
Abstract
RNA-binding proteins (RBPs) regulate all aspects of the life of mRNA transcripts. They are critically important in regulating immune responses, most notably by restraining excessive inflammation that can potentially lead to tissue damage. RBPs are also crucial for pathogen sensing, for instance for the recognition of viral nucleic acids. Concordant with these central regulatory roles, the dysregulated activity of many RBPs can give rise to disease. The expression and function of RBPs are therefore highly controlled by an elaborate network of transcriptional, post-transcriptional and post-translational mechanisms, including the ability of different RBPs to cross-regulate each other's expression. With an emphasis on macrophages and mast cells, we review current knowledge on the role of selected RBPs that have been shown to directly impact the expression of inflammatory transcripts. By focusing specifically on proteins of the Regnase and ZFP36 family, as well as on factors involved in N6 -methyladenosine (m6 A) deposition and recognition, we discuss mechanism of action, regulatory feedback, and impact of these selected proteins on immune responses. Finally, we include examples of the role of m6 A and RBPs in the recognition of viral RNAs. Overall, we provide a general overview of the impact of selected RBPs on the myeloid compartment, followed by a discussion of outstanding questions and challenges for the future.
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Affiliation(s)
- Marian Bataclan
- Institute for Research in Biomedicine, Università della Svizzera italiana, Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland
| | - Cristina Leoni
- Institute for Research in Biomedicine, Università della Svizzera italiana, Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland
| | - Silvia Monticelli
- Institute for Research in Biomedicine, Università della Svizzera italiana, Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland
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40
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García-Martínez J, Medina DA, Bellvís P, Sun M, Cramer P, Chávez S, Pérez-Ortín JE. The total mRNA concentration buffering system in yeast is global rather than gene-specific. RNA (NEW YORK, N.Y.) 2021; 27:1281-1290. [PMID: 34272303 PMCID: PMC8456998 DOI: 10.1261/rna.078774.121] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/14/2021] [Indexed: 06/13/2023]
Abstract
Gene expression in eukaryotes does not follow a linear process from transcription to translation and mRNA degradation. Instead it follows a circular process in which cytoplasmic mRNA decay crosstalks with nuclear transcription. In many instances, this crosstalk contributes to buffer mRNA at a roughly constant concentration. Whether the mRNA buffering concept operates on the total mRNA concentration or at the gene-specific level, and if the mechanism to do so is a global or a specific one, remain unknown. Here we assessed changes in mRNA concentrations and their synthesis rates along the transcriptome of aneuploid strains of the yeast Saccharomyces cerevisiae We also assessed mRNA concentrations and their synthesis rates in nonsense-mediated decay (NMD) targets in euploid strains. We found that the altered synthesis rates in the genes from the aneuploid chromosome and the changes in their mRNA stabilities were not counterbalanced. In addition, the stability of NMD targets was not specifically compensated by the changes in synthesis rate. We conclude that there is no genetic compensation of NMD mRNA targets in yeast, and total mRNA buffering uses mostly a global system rather than a gene-specific one.
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Affiliation(s)
- José García-Martínez
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Facultad de Biológicas, Universitat de València, E46100 Burjassot, Spain
| | - Daniel A Medina
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Facultad de Biológicas, Universitat de València, E46100 Burjassot, Spain
| | - Pablo Bellvís
- Instituto de Biomedicina de Sevilla, Universidad de Sevilla-CSIC-Hospital Universitario V. del Rocío, Seville 41012, Spain
| | - Mai Sun
- Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, 37077 Göttingen, Germany
| | - Patrick Cramer
- Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, 37077 Göttingen, Germany
| | - Sebastián Chávez
- Instituto de Biomedicina de Sevilla, Universidad de Sevilla-CSIC-Hospital Universitario V. del Rocío, Seville 41012, Spain
- Dirección de Evaluación y Acreditación, Agencia Andaluza del Conocimiento, planta 3ª C.P. 14006 Córdoba, Spain
| | - José E Pérez-Ortín
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Facultad de Biológicas, Universitat de València, E46100 Burjassot, Spain
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41
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Diaz-Muñoz MD, Osma-Garcia IC. The RNA regulatory programs that govern lymphocyte development and function. WILEY INTERDISCIPLINARY REVIEWS-RNA 2021; 13:e1683. [PMID: 34327847 DOI: 10.1002/wrna.1683] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/25/2021] [Accepted: 07/08/2021] [Indexed: 12/16/2022]
Abstract
Lymphocytes require of constant and dynamic changes in their transcriptome for timely activation and production of effector molecules to combat external pathogens. Synthesis and translation of messenger (m)RNAs into these effector proteins is controlled both quantitatively and qualitatively by RNA binding proteins (RBPs). RBP-dependent regulation of RNA editing, subcellular location, stability, and translation shapes immune cell development and immunity. Extensive evidences have now been gathered from few model RBPs, HuR, PTBP1, ZFP36, and Roquin. However, recently developed methodologies for global characterization of protein:RNA interactions suggest the existence of complex RNA regulatory networks in which RBPs co-ordinately regulate the fate of sets of RNAs controlling cellular pathways and functions. In turn, RNA can also act as scaffolding of functionally related proteins modulating their activation and function. Here we review current knowledge about how RBP-dependent regulation of RNA shapes our immune system and discuss about the existence of a hidden immune cell epitranscriptome. This article is categorized under: RNA Interactions with Proteins and Other Molecules > Protein-RNA Interactions: Functional Implications.
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Affiliation(s)
- Manuel D Diaz-Muñoz
- Toulouse Institute for Infectious and Inflammatory Diseases, Inserm UMR1291, CNRS UMR5051, University Paul Sabatier, Toulouse, France
| | - Ines C Osma-Garcia
- Toulouse Institute for Infectious and Inflammatory Diseases, Inserm UMR1291, CNRS UMR5051, University Paul Sabatier, Toulouse, France
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42
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Akiyama T, Suzuki T, Yamamoto T. RNA decay machinery safeguards immune cell development and immunological responses. Trends Immunol 2021; 42:447-460. [PMID: 33858774 DOI: 10.1016/j.it.2021.03.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 03/10/2021] [Accepted: 03/11/2021] [Indexed: 12/30/2022]
Abstract
mRNA decay systems control mRNA abundance by counterbalancing transcription. Several recent studies show that mRNA decay pathways are crucial to conventional T and B cell development in vertebrates, in addition to suppressing autoimmunity and excessive inflammatory responses. Selective mRNA degradation triggered by the CCR4-NOT deadenylase complex appears to be required in lymphocyte development, cell quiescence, V(D)J (variable-diversity-joining) recombination, and prevention of inappropriate apoptosis in mice. Moreover, a recent study suggests that mRNA decay may be involved in preventing human hyperinflammatory disease. These findings imply that mRNA decay pathways in humans and mice do not simply maintain mRNA homeostatic turnover but can also precisely regulate immune development and immunological responses by selectively targeting mRNAs.
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Affiliation(s)
- Taishin Akiyama
- Laboratory for Immune Homeostasis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Graduate School of Medical Life Science, Yokohama City University, Yokohama 230-0045, Japan.
| | - Toru Suzuki
- Laboratory for Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Tadashi Yamamoto
- Laboratory for Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Cell Signal Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa 904-0495, Japan
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43
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Blumberg A, Zhao Y, Huang YF, Dukler N, Rice EJ, Chivu AG, Krumholz K, Danko CG, Siepel A. Characterizing RNA stability genome-wide through combined analysis of PRO-seq and RNA-seq data. BMC Biol 2021; 19:30. [PMID: 33588838 PMCID: PMC7885420 DOI: 10.1186/s12915-021-00949-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 01/05/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND The concentrations of distinct types of RNA in cells result from a dynamic equilibrium between RNA synthesis and decay. Despite the critical importance of RNA decay rates, current approaches for measuring them are generally labor-intensive, limited in sensitivity, and/or disruptive to normal cellular processes. Here, we introduce a simple method for estimating relative RNA half-lives that is based on two standard and widely available high-throughput assays: Precision Run-On sequencing (PRO-seq) and RNA sequencing (RNA-seq). RESULTS Our method treats PRO-seq as a measure of transcription rate and RNA-seq as a measure of RNA concentration, and estimates the rate of RNA decay required for a steady-state equilibrium. We show that this approach can be used to assay relative RNA half-lives genome-wide, with good accuracy and sensitivity for both coding and noncoding transcription units. Using a structural equation model (SEM), we test several features of transcription units, nearby DNA sequences, and nearby epigenomic marks for associations with RNA stability after controlling for their effects on transcription. We find that RNA splicing-related features are positively correlated with RNA stability, whereas features related to miRNA binding and DNA methylation are negatively correlated with RNA stability. Furthermore, we find that a measure based on U1 binding and polyadenylation sites distinguishes between unstable noncoding and stable coding transcripts but is not predictive of relative stability within the mRNA or lincRNA classes. We also identify several histone modifications that are associated with RNA stability. CONCLUSION We introduce an approach for estimating the relative half-lives of individual RNAs. Together, our estimation method and systematic analysis shed light on the pervasive impacts of RNA stability on cellular RNA concentrations.
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Affiliation(s)
- Amit Blumberg
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Yixin Zhao
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Yi-Fei Huang
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
- Present Address: Department of Biology and Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Noah Dukler
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Edward J Rice
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Alexandra G Chivu
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Katie Krumholz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Charles G Danko
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Adam Siepel
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
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44
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Begley V, Jordán-Pla A, Peñate X, Garrido-Godino AI, Challal D, Cuevas-Bermúdez A, Mitjavila A, Barucco M, Gutiérrez G, Singh A, Alepuz P, Navarro F, Libri D, Pérez-Ortín JE, Chávez S. Xrn1 influence on gene transcription results from the combination of general effects on elongating RNA pol II and gene-specific chromatin configuration. RNA Biol 2020; 18:1310-1323. [PMID: 33138675 DOI: 10.1080/15476286.2020.1845504] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
mRNA homoeostasis is favoured by crosstalk between transcription and degradation machineries. Both the Ccr4-Not and the Xrn1-decaysome complexes have been described to influence transcription. While Ccr4-Not has been shown to directly stimulate transcription elongation, the information available on how Xrn1 influences transcription is scarce and contradictory. In this study we have addressed this issue by mapping RNA polymerase II (RNA pol II) at high resolution, using CRAC and BioGRO-seq techniques in Saccharomyces cerevisiae. We found significant effects of Xrn1 perturbation on RNA pol II profiles across the genome. RNA pol II profiles at 5' exhibited significant alterations that were compatible with decreased elongation rates in the absence of Xrn1. Nucleosome mapping detected altered chromatin configuration in the gene bodies. We also detected accumulation of RNA pol II shortly upstream of polyadenylation sites by CRAC, although not by BioGRO-seq, suggesting higher frequency of backtracking before pre-mRNA cleavage. This phenomenon was particularly linked to genes with poorly positioned nucleosomes at this position. Accumulation of RNA pol II at 3' was also detected in other mRNA decay mutants. According to these and other pieces of evidence, Xrn1 seems to influence transcription elongation at least in two ways: by directly favouring elongation rates and by a more general mechanism that connects mRNA decay to late elongation.
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Affiliation(s)
- Victoria Begley
- Instituto de Biomedicina de Sevilla, Universidad de Sevilla-CSIC-Hospital Universitario V. Del Rocío, Seville, Spain.,Departamento de Genética, Facultad de Biología, Universidad de Sevilla, Seville, Spain
| | - Antonio Jordán-Pla
- Instituto de Biotecnología y Biomedicina (Biotecmed), Universitat de València; Burjassot, Valencia, Spain
| | - Xenia Peñate
- Instituto de Biomedicina de Sevilla, Universidad de Sevilla-CSIC-Hospital Universitario V. Del Rocío, Seville, Spain.,Departamento de Genética, Facultad de Biología, Universidad de Sevilla, Seville, Spain
| | - Ana I Garrido-Godino
- Departamento de Biología Experimental, Facultad de Ciencias Experimentales, Universidad de Jaén, Jaén, Spain
| | - Drice Challal
- Institut Jacques Monod, Centre National De La Recherche Scientifique, UMR 7592, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Abel Cuevas-Bermúdez
- Departamento de Biología Experimental, Facultad de Ciencias Experimentales, Universidad de Jaén, Jaén, Spain
| | - Adrià Mitjavila
- Instituto de Biomedicina de Sevilla, Universidad de Sevilla-CSIC-Hospital Universitario V. Del Rocío, Seville, Spain.,Departamento de Genética, Facultad de Biología, Universidad de Sevilla, Seville, Spain
| | - Mara Barucco
- Institut Jacques Monod, Centre National De La Recherche Scientifique, UMR 7592, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Gabriel Gutiérrez
- Departamento de Genética, Facultad de Biología, Universidad de Sevilla, Seville, Spain
| | - Abhyudai Singh
- Department of Electrical and Computer Engineering, University of Delaware, Newark, Delaware, USA
| | - Paula Alepuz
- Instituto de Biotecnología y Biomedicina (Biotecmed), Universitat de València; Burjassot, Valencia, Spain
| | - Francisco Navarro
- Departamento de Biología Experimental, Facultad de Ciencias Experimentales, Universidad de Jaén, Jaén, Spain
| | - Domenico Libri
- Institut Jacques Monod, Centre National De La Recherche Scientifique, UMR 7592, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - José E Pérez-Ortín
- Instituto de Biotecnología y Biomedicina (Biotecmed), Universitat de València; Burjassot, Valencia, Spain
| | - Sebastián Chávez
- Instituto de Biomedicina de Sevilla, Universidad de Sevilla-CSIC-Hospital Universitario V. Del Rocío, Seville, Spain.,Departamento de Genética, Facultad de Biología, Universidad de Sevilla, Seville, Spain
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45
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The Regulatory Properties of the Ccr4-Not Complex. Cells 2020; 9:cells9112379. [PMID: 33138308 PMCID: PMC7692201 DOI: 10.3390/cells9112379] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 10/21/2020] [Accepted: 10/26/2020] [Indexed: 12/12/2022] Open
Abstract
The mammalian Ccr4–Not complex, carbon catabolite repression 4 (Ccr4)-negative on TATA-less (Not), is a large, highly conserved, multifunctional assembly of proteins that acts at different cellular levels to regulate gene expression. In the nucleus, it is involved in the regulation of the cell cycle, chromatin modification, activation and inhibition of transcription initiation, control of transcription elongation, RNA export, nuclear RNA surveillance, and DNA damage repair. In the cytoplasm, the Ccr4–Not complex plays a central role in mRNA decay and affects protein quality control. Most of our original knowledge of the Ccr4–Not complex is derived, primarily, from studies in yeast. More recent studies have shown that the mammalian complex has a comparable structure and similar properties. In this review, we summarize the evidence for the multiple roles of both the yeast and mammalian Ccr4–Not complexes, highlighting their similarities.
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46
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Han X, Wang L, Han Q. Advances in the role of m 6A RNA modification in cancer metabolic reprogramming. Cell Biosci 2020; 10:117. [PMID: 33062255 PMCID: PMC7552565 DOI: 10.1186/s13578-020-00479-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 09/24/2020] [Indexed: 01/10/2023] Open
Abstract
N6-methyladenosine (m6A) modification is the most common internal modification of eukaryotic mRNA and is widely involved in many cellular processes, such as RNA transcription, splicing, nuclear transport, degradation, and translation. m6A has been shown to plays important roles in the initiation and progression of various cancers. The altered metabolic programming of cancer cells promotes their cell-autonomous proliferation and survival, leading to an indispensable hallmark of cancers. Accumulating evidence has demonstrated that this epigenetic modification exerts extensive effects on the cancer metabolic network by either directly regulating the expression of metabolic genes or modulating metabolism-associated signaling pathways. In this review, we summarized the regulatory mechanisms and biological functions of m6A and its role in cancer metabolic reprogramming.
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Affiliation(s)
- Xiu Han
- Center of Clinical Laboratory, Suzhou Dushu Lake Public Hospital, 9#, Chongwen Road, Suzhou, 215000 People’s Republic of China
| | - Lin Wang
- Center of Clinical Laboratory, Suzhou Dushu Lake Public Hospital, 9#, Chongwen Road, Suzhou, 215000 People’s Republic of China
| | - Qingzhen Han
- Center of Clinical Laboratory, Suzhou Dushu Lake Public Hospital, 9#, Chongwen Road, Suzhou, 215000 People’s Republic of China
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47
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Liang XH, Nichols JG, De Hoyos CL, Crooke ST. Some ASOs that bind in the coding region of mRNAs and induce RNase H1 cleavage can cause increases in the pre-mRNAs that may blunt total activity. Nucleic Acids Res 2020; 48:9840-9858. [PMID: 32870273 PMCID: PMC7515700 DOI: 10.1093/nar/gkaa715] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/13/2020] [Accepted: 08/19/2020] [Indexed: 01/06/2023] Open
Abstract
Antisense oligonucleotide (ASO) drugs that trigger RNase H1 cleavage of target RNAs have been developed to treat various diseases. Basic pharmacological principles suggest that the development of tolerance is a common response to pharmacological interventions. In this manuscript, for the first time we report a molecular mechanism of tolerance that occurs with some ASOs. Two observations stimulated our interest: some RNA targets are difficult to reduce with RNase H1 activating ASOs and some ASOs display a shorter duration of activity than the prolonged target reduction typically observed. We found that certain ASOs targeting the coding region of some mRNAs that initially reduce target mRNAs can surprisingly increase the levels of the corresponding pre-mRNAs. The increase in pre-mRNA is delayed and due to enhanced transcription and likely also slower processing. This process requires that the ASOs bind in the coding region and reduce the target mRNA by RNase H1 while the mRNA resides in the ribosomes. The pre-mRNA increase is dependent on UPF3A and independent of the NMD pathway or the XRN1-CNOT pathway. The response is consistent in multiple cell lines and independent of the methods used to introduce ASOs into cells.
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Affiliation(s)
- Xue-hai Liang
- Core Antisense Research, Ionis Pharmaceuticals, 2855 Gazelle Court, Carlsbad, CA 92010, USA
| | - Joshua G Nichols
- Core Antisense Research, Ionis Pharmaceuticals, 2855 Gazelle Court, Carlsbad, CA 92010, USA
| | - Cheryl L De Hoyos
- Core Antisense Research, Ionis Pharmaceuticals, 2855 Gazelle Court, Carlsbad, CA 92010, USA
| | - Stanley T Crooke
- Core Antisense Research, Ionis Pharmaceuticals, 2855 Gazelle Court, Carlsbad, CA 92010, USA
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48
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Furlan M, Galeota E, Gaudio ND, Dassi E, Caselle M, de Pretis S, Pelizzola M. Genome-wide dynamics of RNA synthesis, processing, and degradation without RNA metabolic labeling. Genome Res 2020; 30:1492-1507. [PMID: 32978246 PMCID: PMC7605262 DOI: 10.1101/gr.260984.120] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 08/21/2020] [Indexed: 12/13/2022]
Abstract
The quantification of the kinetic rates of RNA synthesis, processing, and degradation are largely based on the integrative analysis of total and nascent transcription, the latter being quantified through RNA metabolic labeling. We developed INSPEcT−, a computational method based on the mathematical modeling of premature and mature RNA expression that is able to quantify kinetic rates from steady-state or time course total RNA-seq data without requiring any information on nascent transcripts. Our approach outperforms available solutions, closely recapitulates the kinetic rates obtained through RNA metabolic labeling, improves the ability to detect changes in transcript half-lives, reduces the cost and complexity of the experiments, and can be adopted to study experimental conditions in which nascent transcription cannot be readily profiled. Finally, we applied INSPEcT− to the characterization of post-transcriptional regulation landscapes in dozens of physiological and disease conditions. This approach was included in the INSPEcT Bioconductor package, which can now unveil RNA dynamics from steady-state or time course data, with or without the profiling of nascent RNA.
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Affiliation(s)
- Mattia Furlan
- Center for Genomic Science, Fondazione Istituto Italiano di Tecnologia, 20139 Milan, Italy.,Physics Department and INFN, University of Turin, 10125 Turin, Italy
| | - Eugenia Galeota
- Center for Genomic Science, Fondazione Istituto Italiano di Tecnologia, 20139 Milan, Italy
| | - Nunzio Del Gaudio
- Center for Genomic Science, Fondazione Istituto Italiano di Tecnologia, 20139 Milan, Italy
| | - Erik Dassi
- Centre for Integrative Biology, University of Trento, 38123 Trento, Italy
| | - Michele Caselle
- Physics Department and INFN, University of Turin, 10125 Turin, Italy
| | - Stefano de Pretis
- Center for Genomic Science, Fondazione Istituto Italiano di Tecnologia, 20139 Milan, Italy
| | - Mattia Pelizzola
- Center for Genomic Science, Fondazione Istituto Italiano di Tecnologia, 20139 Milan, Italy
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49
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Slobodin B, Dikstein R. So close, no matter how far: multiple paths connecting transcription to mRNA translation in eukaryotes. EMBO Rep 2020; 21:e50799. [PMID: 32803873 PMCID: PMC7507372 DOI: 10.15252/embr.202050799] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/22/2020] [Accepted: 07/23/2020] [Indexed: 12/15/2022] Open
Abstract
Transcription of DNA into mRNA and translation of mRNA into proteins are two major processes underlying gene expression. Due to the distinct molecular mechanisms, timings, and locales of action, these processes are mainly considered to be independent. During the last two decades, however, multiple factors and elements were shown to coordinate transcription and translation, suggesting an intricate level of synchronization. This review discusses the molecular mechanisms that impact both processes in eukaryotic cells of different origins. The emerging global picture suggests evolutionarily conserved regulation and coordination between transcription and mRNA translation, indicating the importance of this phenomenon for the fine-tuning of gene expression and the adjustment to constantly changing conditions.
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Affiliation(s)
- Boris Slobodin
- Department of Biomolecular SciencesThe Weizmann Institute of ScienceRehovotIsrael
| | - Rivka Dikstein
- Department of Biomolecular SciencesThe Weizmann Institute of ScienceRehovotIsrael
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50
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Timmers HTM. SAGA and TFIID: Friends of TBP drifting apart. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2020; 1864:194604. [PMID: 32673655 DOI: 10.1016/j.bbagrm.2020.194604] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 07/02/2020] [Accepted: 07/06/2020] [Indexed: 01/24/2023]
Abstract
Transcription initiation constitutes a major checkpoint in gene regulation across all living organisms. Control of chromatin function is tightly linked to this checkpoint, which is best illustrated by the SAGA coactivator. This evolutionary conserved complex of 18-20 subunits was first discovered as a Gcn5p-containing histone acetyltransferase, but it also integrates a histone H2B deubiquitinase. The SAGA subunits are organized in a modular fashion around its central core. Strikingly, this central module of SAGA shares a number of proteins with the central core of the basal transcription factor TFIID. In this review I will compare the SAGA and TFIID complexes with respect to their shared subunits, structural organization, enzymatic activities and chromatin binding. I will place a special emphasis on the ancestry of SAGA and TFIID subunits, which suggests that these complexes evolved to control the activity of TBP (TATA-binding protein) in directing the assembly of transcription initiation complexes.
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Affiliation(s)
- H Th Marc Timmers
- German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; German Cancer Consortium (DKTK) partner site Freiburg, 79106 Freiburg, Germany; Department of Urology, Medical Center-University of Freiburg, Breisacher Straße 66, 79106 Freiburg, Germany.
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