1
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Haddox S, Wu P, Singh S, Qin F, Engel J, Kian A, Ahmad S, Li H, Wu P. Landscape of chimeric RNAs in COVID-19 patient blood. Genes Dis 2025; 12:101348. [PMID: 40110491 PMCID: PMC11919593 DOI: 10.1016/j.gendis.2024.101348] [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: 01/30/2024] [Revised: 04/12/2024] [Accepted: 04/24/2024] [Indexed: 03/22/2025] Open
Abstract
Despite the availability of efficacious vaccines, COVID-19 persists and our knowledge of how SARS-CoV-2 infection affects host transcriptomics remains incomplete. Transcriptome analysis, which has progressed our understanding of the patient response to SARS-CoV-2 infection, can be enhanced by considering chimeric transcript expression. Here we assess and characterize chimeric RNAs found in the whole blood of 178 COVID-19 patients. STAR-Fusion, SOAPfuse, and EricScript were used to detect chimeric RNAs resulting in over 30,000 predictions with approximately 500 high-confidence predictions that were found by more than one software and filtered based on exon annotations around the chimeric splice junction. GO term enrichment performed on the 5' and 3' parental genes of chimeric RNAs found in severe and critical patients resulted in pathways known to be affected in these patients, such as erythroid differentiation. Motif enrichment analysis of sequences proximal to chimeric splice junctions found in COVID-19 patients versus those found in GTEx whole blood revealed two RNA binding proteins previously implicated with coronavirus infection, PTBP1 and SFPQ. We discovered a chimeric RNA that correlated with COVID-19 disease status and appeared to be dependent upon a loss of PTBP1's function as a splicing repressor. Overall, we found over 350 novel COVID-19-specific chimeric RNAs not detectable in GTEx whole blood that may also serve as biomarkers for viral infection.
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Affiliation(s)
- Samuel Haddox
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Ping Wu
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- National Clinical Research Center for Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Sandeep Singh
- Computational Toxicology Facility, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh 226001, India
| | - Fujun Qin
- School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Jack Engel
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Andrea Kian
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Syed Ahmad
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Hui Li
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Peng Wu
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- National Clinical Research Center for Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
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2
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Ranjitkar S, Shiri M, Sun J, Tian X. Poly(A)-Selected Intergenic Transcripts in In Vivo Developed Bovine Oocytes and Pre-Implantation Embryos. Mol Reprod Dev 2025; 92:e70017. [PMID: 39987550 DOI: 10.1002/mrd.70017] [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: 09/18/2024] [Revised: 12/18/2024] [Accepted: 02/11/2025] [Indexed: 02/25/2025]
Abstract
Intergenic transcription, either failure to terminate at the transcription end site (TES), or transcription initiation at other intergenic regions, is present in cultured cells and enhanced in the presence of stressors such as viral infection. Such intergenic transcription has not been characterized in natural biological samples such as pre-implantation embryos which express more than 10,000 genes and undergo drastic changes in DNA methylation. Using Automatic Readthrough Transcription Detection (ARTDeco) and poly(A)-selected RNA-seq libraries from in vivo developed bovine oocytes and embryos, we found abundant intergenic transcripts that we termed as read-outs (transcribed from 5 to 15 kb after TES) and read-ins (transcribed 1 kb upstream of reference genes, extending up to 15 kb upstream). Read-throughs (continued transcription from TES of expressed reference genes, 4-15 kb in length), however, were much fewer. For example, the numbers of read-outs and read-ins ranged from 3084 to 6565 or 33.36% to 66.67% of expressed reference genes at different stages of embryo development. The less copious read-throughs were at an average of 10% and significantly correlated with reference gene expression (p < 0.05). Interestingly, intergenic transcription did not seem to be random because many intergenic transcripts (1504 read-outs, 1045 read-ins, and 1021 read-throughs) were associated with common reference genes across all stages of pre-implantation development. Their expression also seemed to be regulated by developmental stages because many were differentially expressed (log2 fold change ≥ 2, p < 0.05). Additionally, while gradual but un-patterned decreases in DNA methylation densities 10 kb both up- and downstream of the intergenic transcribed regions were observed, the correlation between intergenic transcription and DNA methylation was insignificant. Finally, transcription factor binding motifs and polyadenylation signals were found in 27.2% and 12.15% of intergenic transcripts, respectively, suggesting considerable novel transcription initiation and RNA processing. In summary, in vivo developed oocytes and pre-implantation embryos express large numbers of intergenic transcripts, which are not related to the overall DNA methylation profiles either up- or downstream.
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Affiliation(s)
- Saurav Ranjitkar
- Department of Animal Science, University of Connecticut, Storrs, Connecticut, USA
| | - Mohammad Shiri
- Department of Computer Science, Old Dominion University, Norfolk, Virginia, USA
| | - Jiangwen Sun
- Department of Computer Science, Old Dominion University, Norfolk, Virginia, USA
| | - Xiuchun Tian
- Department of Animal Science, University of Connecticut, Storrs, Connecticut, USA
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3
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Casco A, Ohashi M, Johannsen E. Epstein-Barr virus induces host shutoff extensively via BGLF5-independent mechanisms. Cell Rep 2024; 43:114743. [PMID: 39298313 PMCID: PMC11549945 DOI: 10.1016/j.celrep.2024.114743] [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: 03/21/2024] [Revised: 07/08/2024] [Accepted: 08/27/2024] [Indexed: 09/21/2024] Open
Abstract
Epstein-Barr virus (EBV) is a ubiquitous oncogenic virus associated with multiple cancers and autoimmune diseases. Unlike most herpesviruses, EBV reactivation from latency occurs asymptomatically, allowing it to spread efficiently to other hosts. However, available models are limited by the inefficient and asynchronous reactivation from latency into lytic replication. To address this problem, we develop a dual-fluorescent lytic reporter (DFLR) EBV that specifically labels cells in the early and late stages of replication. Using lymphoblastoid cell lines transformed by DFLR EBV as a model for EBV reactivation in B cells, we observe extensive reprogramming of the host cell transcriptome during lytic cycle progression. This includes widespread shutoff of host gene expression and disruption of mRNA processing. Unexpectedly, host shutoff remains extensive even in cells infected with DFLR EBV deleted for the BGLF5 nuclease. These findings implicate BGLF5-independent mechanisms as the primary drivers of host transcriptome remodeling during EBV lytic replication.
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Affiliation(s)
- Alejandro Casco
- Department of Oncology, McArdle Laboratory for Cancer Research, University of Wisconsin, Madison, WI, USA
| | - Makoto Ohashi
- Department of Oncology, McArdle Laboratory for Cancer Research, University of Wisconsin, Madison, WI, USA
| | - Eric Johannsen
- Department of Oncology, McArdle Laboratory for Cancer Research, University of Wisconsin, Madison, WI, USA; Department of Medicine, Division of Infectious Diseases, University of Wisconsin, Madison, WI, USA.
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4
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Konstantinidou P, Loubalova Z, Ahrend F, Friman A, Almeida MV, Poulet A, Horvat F, Wang Y, Losert W, Lorenzi H, Svoboda P, Miska EA, van Wolfswinkel JC, Haase AD. A comparative roadmap of PIWI-interacting RNAs across seven species reveals insights into de novo piRNA-precursor formation in mammals. Cell Rep 2024; 43:114777. [PMID: 39302833 PMCID: PMC11615739 DOI: 10.1016/j.celrep.2024.114777] [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: 05/02/2024] [Revised: 08/09/2024] [Accepted: 09/04/2024] [Indexed: 09/22/2024] Open
Abstract
PIWI-interacting RNAs (piRNAs) play a crucial role in safeguarding genome integrity by silencing mobile genetic elements. From flies to humans, piRNAs originate from long single-stranded precursors encoded by genomic piRNA clusters. How piRNA clusters form to adapt to genomic invaders and evolve to maintain protection remain key outstanding questions. Here, we generate a roadmap of piRNA clusters across seven species that highlights both similarities and variations. In mammals, we identify transcriptional readthrough as a mechanism to generate piRNAs from transposon insertions (piCs) downstream of genes (DoG). Together with the well-known stress-dependent DoG transcripts, our findings suggest a molecular mechanism for the formation of piRNA clusters in response to retroviral invasion. Finally, we identify a class of dynamic piRNA clusters in humans, underscoring unique features of human germ cell biology. Our results advance the understanding of conserved principles and species-specific variations in piRNA biology and provide tools for future studies.
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Affiliation(s)
- Parthena Konstantinidou
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Zuzana Loubalova
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Franziska Ahrend
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA; Oak Ridge Institute for Science and Education, US Department of Energy, Oak Ridge, TN, USA
| | - Aleksandr Friman
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA; Biophysics Graduate Program, Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA; Department of Physics, University of Maryland, College Park, MD 20742, USA
| | - Miguel Vasconcelos Almeida
- Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1GA, UK; Wellcome/CRUK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Axel Poulet
- Department of Molecular Cellular and Developmental Biology, Yale University, New Haven, CT 06511, USA; Yale Stem Cell Center, Yale School of Medicine, New Haven, CT 06511, USA; Center for RNA Science and Medicine, Yale School of Medicine, New Haven, CT 06511, USA
| | - Filip Horvat
- Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic; Bioinformatics Group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia
| | - Yuejun Wang
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA; Oak Ridge Institute for Science and Education, US Department of Energy, Oak Ridge, TN, USA; TriLab Bioinformatics Group, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Wolfgang Losert
- Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA; Department of Physics, University of Maryland, College Park, MD 20742, USA
| | - Hernan Lorenzi
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA; TriLab Bioinformatics Group, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Petr Svoboda
- Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Eric A Miska
- Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1GA, UK; Wellcome/CRUK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Josien C van Wolfswinkel
- Department of Molecular Cellular and Developmental Biology, Yale University, New Haven, CT 06511, USA; Yale Stem Cell Center, Yale School of Medicine, New Haven, CT 06511, USA; Center for RNA Science and Medicine, Yale School of Medicine, New Haven, CT 06511, USA
| | - Astrid D Haase
- National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
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5
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Singh S, Shi X, Haddox S, Elfman J, Ahmad SB, Lynch S, Manley T, Piczak C, Phung C, Sun Y, Sharma A, Li H. RTCpredictor: identification of read-through chimeric RNAs from RNA sequencing data. Brief Bioinform 2024; 25:bbae251. [PMID: 38796690 PMCID: PMC11128028 DOI: 10.1093/bib/bbae251] [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: 11/15/2023] [Revised: 03/30/2024] [Accepted: 05/09/2024] [Indexed: 05/28/2024] Open
Abstract
Read-through chimeric RNAs are being recognized as a means to expand the functional transcriptome and contribute to cancer tumorigenesis when mis-regulated. However, current software tools often fail to predict them. We have developed RTCpredictor, utilizing a fast ripgrep tool to search for all possible exon-exon combinations of parental gene pairs. We also added exonic variants allowing searches containing common SNPs. To our knowledge, it is the first read-through chimeric RNA specific prediction method that also provides breakpoint coordinates. Compared with 10 other popular tools, RTCpredictor achieved high sensitivity on a simulated and three real datasets. In addition, RTCpredictor has less memory requirements and faster execution time, making it ideal for applying on large datasets.
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Affiliation(s)
- Sandeep Singh
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Xinrui Shi
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Samuel Haddox
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Justin Elfman
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Syed Basil Ahmad
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Sarah Lynch
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Tommy Manley
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Claire Piczak
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Christopher Phung
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Yunan Sun
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Aadi Sharma
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
| | - Hui Li
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22908, United States
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6
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Du X, Qin W, Yang C, Dai L, San M, Xia Y, Zhou S, Wang M, Wu S, Zhang S, Zhou H, Li F, He F, Tang J, Chen JY, Zhou Y, Xiao R. RBM22 regulates RNA polymerase II 5' pausing, elongation rate, and termination by coordinating 7SK-P-TEFb complex and SPT5. Genome Biol 2024; 25:102. [PMID: 38641822 PMCID: PMC11027413 DOI: 10.1186/s13059-024-03242-6] [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: 11/01/2023] [Accepted: 04/09/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND Splicing factors are vital for the regulation of RNA splicing, but some have also been implicated in regulating transcription. The underlying molecular mechanisms of their involvement in transcriptional processes remain poorly understood. RESULTS Here, we describe a direct role of splicing factor RBM22 in coordinating multiple steps of RNA Polymerase II (RNAPII) transcription in human cells. The RBM22 protein widely occupies the RNAPII-transcribed gene locus in the nucleus. Loss of RBM22 promotes RNAPII pause release, reduces elongation velocity, and provokes transcriptional readthrough genome-wide, coupled with production of transcripts containing sequences from downstream of the gene. RBM22 preferentially binds to the hyperphosphorylated, transcriptionally engaged RNAPII and coordinates its dynamics by regulating the homeostasis of the 7SK-P-TEFb complex and the association between RNAPII and SPT5 at the chromatin level. CONCLUSIONS Our results uncover the multifaceted role of RBM22 in orchestrating the transcriptional program of RNAPII and provide evidence implicating a splicing factor in both RNAPII elongation kinetics and termination control.
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Affiliation(s)
- Xian Du
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Wenying Qin
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Chunyu Yang
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Lin Dai
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Mingkui San
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Yingdan Xia
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Siyu Zhou
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Mengyang Wang
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Shuang Wu
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Shaorui Zhang
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Huiting Zhou
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Fangshu Li
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Fang He
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Jingfeng Tang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, School of Life and Health Sciences, Hubei University of Technology, Wuhan, China
| | - Jia-Yu Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing, China
| | - Yu Zhou
- TaiKang Center for Life and Medical Sciences, College of Life Sciences, State Key Laboratory of Virology, Wuhan University, Wuhan, China
| | - Rui Xiao
- Department of Hematology, Medical Research Institute, Frontier Science Center for Immunology and Metabolism, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China.
- TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China.
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7
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Boddu PC, Gupta AK, Roy R, De La Peña Avalos B, Olazabal-Herrero A, Neuenkirchen N, Zimmer JT, Chandhok NS, King D, Nannya Y, Ogawa S, Lin H, Simon MD, Dray E, Kupfer GM, Verma A, Neugebauer KM, Pillai MM. Transcription elongation defects link oncogenic SF3B1 mutations to targetable alterations in chromatin landscape. Mol Cell 2024; 84:1475-1495.e18. [PMID: 38521065 PMCID: PMC11061666 DOI: 10.1016/j.molcel.2024.02.032] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 11/26/2023] [Accepted: 02/27/2024] [Indexed: 03/25/2024]
Abstract
Transcription and splicing of pre-messenger RNA are closely coordinated, but how this functional coupling is disrupted in human diseases remains unexplored. Using isogenic cell lines, patient samples, and a mutant mouse model, we investigated how cancer-associated mutations in SF3B1 alter transcription. We found that these mutations reduce the elongation rate of RNA polymerase II (RNAPII) along gene bodies and its density at promoters. The elongation defect results from disrupted pre-spliceosome assembly due to impaired protein-protein interactions of mutant SF3B1. The decreased promoter-proximal RNAPII density reduces both chromatin accessibility and H3K4me3 marks at promoters. Through an unbiased screen, we identified epigenetic factors in the Sin3/HDAC/H3K4me pathway, which, when modulated, reverse both transcription and chromatin changes. Our findings reveal how splicing factor mutant states behave functionally as epigenetic disorders through impaired transcription-related changes to the chromatin landscape. We also present a rationale for targeting the Sin3/HDAC complex as a therapeutic strategy.
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Affiliation(s)
- Prajwal C Boddu
- Section of Hematology, Yale Cancer Center and Department of Internal Medicine, Yale University School of Medicine, 300 George Street, Suite 786, New Haven, CT 06511, USA
| | - Abhishek K Gupta
- Section of Hematology, Yale Cancer Center and Department of Internal Medicine, Yale University School of Medicine, 300 George Street, Suite 786, New Haven, CT 06511, USA
| | - Rahul Roy
- Section of Hematology, Yale Cancer Center and Department of Internal Medicine, Yale University School of Medicine, 300 George Street, Suite 786, New Haven, CT 06511, USA
| | - Bárbara De La Peña Avalos
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center (UTHSC) at San Antonio, San Antonio, TX, USA
| | - Anne Olazabal-Herrero
- Section of Hematology, Yale Cancer Center and Department of Internal Medicine, Yale University School of Medicine, 300 George Street, Suite 786, New Haven, CT 06511, USA
| | - Nils Neuenkirchen
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA; Yale Stem Cell Center, Yale University School of Medicine, New Haven, CT, USA
| | - Joshua T Zimmer
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
| | - Namrata S Chandhok
- Division of Hematology, Department of Medicine, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Darren King
- Section of Hematology and Medical Oncology, Department of Internal Medicine and Rogel Cancer Center, University of Michigan Health, Ann Arbor, MI, USA
| | - Yasuhito Nannya
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Haifan Lin
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA; Yale Stem Cell Center, Yale University School of Medicine, New Haven, CT, USA
| | - Matthew D Simon
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
| | - Eloise Dray
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center (UTHSC) at San Antonio, San Antonio, TX, USA
| | - Gary M Kupfer
- Department of Oncology and Pediatrics, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Amit Verma
- Division of Hemato-Oncology, Department of Medicine and Department of Developmental and Molecular Biology, Albert Einstein-Montefiore Cancer Center, New York, USA
| | - Karla M Neugebauer
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA; Yale Center for RNA Science and Medicine, Yale University, New Haven, CT, USA
| | - Manoj M Pillai
- Section of Hematology, Yale Cancer Center and Department of Internal Medicine, Yale University School of Medicine, 300 George Street, Suite 786, New Haven, CT 06511, USA; Yale Stem Cell Center, Yale University School of Medicine, New Haven, CT, USA; Yale Center for RNA Science and Medicine, Yale University, New Haven, CT, USA; Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
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8
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Pabis K, Barardo D, Sirbu O, Selvarajoo K, Gruber J, Kennedy BK. A concerted increase in readthrough and intron retention drives transposon expression during aging and senescence. eLife 2024; 12:RP87811. [PMID: 38567944 PMCID: PMC10990488 DOI: 10.7554/elife.87811] [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] [Indexed: 04/05/2024] Open
Abstract
Aging and senescence are characterized by pervasive transcriptional dysfunction, including increased expression of transposons and introns. Our aim was to elucidate mechanisms behind this increased expression. Most transposons are found within genes and introns, with a large minority being close to genes. This raises the possibility that transcriptional readthrough and intron retention are responsible for age-related changes in transposon expression rather than expression of autonomous transposons. To test this, we compiled public RNA-seq datasets from aged human fibroblasts, replicative and drug-induced senescence in human cells, and RNA-seq from aging mice and senescent mouse cells. Indeed, our reanalysis revealed a correlation between transposons expression, intron retention, and transcriptional readthrough across samples and within samples. Both intron retention and readthrough increased with aging or cellular senescence and these transcriptional defects were more pronounced in human samples as compared to those of mice. In support of a causal connection between readthrough and transposon expression, analysis of models showing induced transcriptional readthrough confirmed that they also show elevated transposon expression. Taken together, our data suggest that elevated transposon reads during aging seen in various RNA-seq dataset are concomitant with multiple transcriptional defects. Intron retention and transcriptional readthrough are the most likely explanation for the expression of transposable elements that lack a functional promoter.
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Affiliation(s)
- Kamil Pabis
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of SingaporeSingaporeSingapore
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of SingaporeSingaporeSingapore
- Centre for Healthy Longevity, National University Health SystemSingaporeSingapore
| | - Diogo Barardo
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of SingaporeSingaporeSingapore
- Centre for Healthy Longevity, National University Health SystemSingaporeSingapore
| | - Olga Sirbu
- Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR)SingaporeSingapore
| | - Kumar Selvarajoo
- Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR)SingaporeSingapore
- Singapore Institute of Food and Biotechnology Innovation, Agency for Science, Technology and Research (A*STAR)SingaporeSingapore
- NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of SingaporeSingaporeSingapore
- School of Biological Sciences, Nanyang Technological UniversitySingaporeSingapore
| | - Jan Gruber
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of SingaporeSingaporeSingapore
- Science Divisions, Yale-NUS CollegeSingaporeSingapore
| | - Brian K Kennedy
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of SingaporeSingaporeSingapore
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of SingaporeSingaporeSingapore
- Centre for Healthy Longevity, National University Health SystemSingaporeSingapore
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9
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Zhou Y, Panhale A, Shvedunova M, Balan M, Gomez-Auli A, Holz H, Seyfferth J, Helmstädter M, Kayser S, Zhao Y, Erdogdu NU, Grzadzielewska I, Mittler G, Manke T, Akhtar A. RNA damage compartmentalization by DHX9 stress granules. Cell 2024; 187:1701-1718.e28. [PMID: 38503283 DOI: 10.1016/j.cell.2024.02.028] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/24/2023] [Accepted: 02/22/2024] [Indexed: 03/21/2024]
Abstract
Biomolecules incur damage during stress conditions, and damage partitioning represents a vital survival strategy for cells. Here, we identified a distinct stress granule (SG), marked by dsRNA helicase DHX9, which compartmentalizes ultraviolet (UV)-induced RNA, but not DNA, damage. Our FANCI technology revealed that DHX9 SGs are enriched in damaged intron RNA, in contrast to classical SGs that are composed of mature mRNA. UV exposure causes RNA crosslinking damage, impedes intron splicing and decay, and triggers DHX9 SGs within daughter cells. DHX9 SGs promote cell survival and induce dsRNA-related immune response and translation shutdown, differentiating them from classical SGs that assemble downstream of translation arrest. DHX9 modulates dsRNA abundance in the DHX9 SGs and promotes cell viability. Autophagy receptor p62 is activated and important for DHX9 SG disassembly. Our findings establish non-canonical DHX9 SGs as a dedicated non-membrane-bound cytoplasmic compartment that safeguards daughter cells from parental RNA damage.
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Affiliation(s)
- Yilong Zhou
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Amol Panhale
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Maria Shvedunova
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Mirela Balan
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | | | - Herbert Holz
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Janine Seyfferth
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Martin Helmstädter
- EMcore, Renal Division, Department of Medicine, University Freiburg, Hospital Freiburg, University Faculty of Medicine, Freiburg, Germany
| | - Séverine Kayser
- EMcore, Renal Division, Department of Medicine, University Freiburg, Hospital Freiburg, University Faculty of Medicine, Freiburg, Germany
| | - Yuling Zhao
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany; Faculty of Biology, University of Freiburg, Freiburg, Germany; International Max Planck Research School for Molecular and Cellular Biology (IMPRS-MCB), Freiburg, Germany
| | - Niyazi Umut Erdogdu
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany; Faculty of Biology, University of Freiburg, Freiburg, Germany; International Max Planck Research School for Molecular and Cellular Biology (IMPRS-MCB), Freiburg, Germany
| | - Iga Grzadzielewska
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany; Faculty of Biology, University of Freiburg, Freiburg, Germany; International Max Planck Research School for Molecular and Cellular Biology (IMPRS-MCB), Freiburg, Germany
| | - Gerhard Mittler
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Thomas Manke
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Asifa Akhtar
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
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10
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Caldas P, Luz M, Baseggio S, Andrade R, Sobral D, Grosso AR. Transcription readthrough is prevalent in healthy human tissues and associated with inherent genomic features. Commun Biol 2024; 7:100. [PMID: 38225287 PMCID: PMC10789751 DOI: 10.1038/s42003-024-05779-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 01/04/2024] [Indexed: 01/17/2024] Open
Abstract
Transcription termination is a crucial step in the production of conforming mRNAs and functional proteins. Under cellular stress conditions, the transcription machinery fails to identify the termination site and continues transcribing beyond gene boundaries, a phenomenon designated as transcription readthrough. However, the prevalence and impact of this phenomenon in healthy human tissues remain unexplored. Here, we assessed transcription readthrough in almost 3000 transcriptome profiles representing 23 human tissues and found that 34% of the expressed protein-coding genes produced readthrough transcripts. The production of readthrough transcripts was restricted in genomic regions with high transcriptional activity and was associated with inefficient splicing and increased chromatin accessibility in terminal regions. In addition, we showed that these transcripts contained several binding sites for the same miRNA, unravelling a potential role as miRNA sponges. Overall, this work provides evidence that transcription readthrough is pervasive and non-stochastic, not only in abnormal conditions but also in healthy tissues. This suggests a potential role for such transcripts in modulating normal cellular functions.
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Affiliation(s)
- Paulo Caldas
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal.
- UCIBIO - Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal.
| | - Mariana Luz
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal
- UCIBIO - Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal
| | - Simone Baseggio
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal
- UCIBIO - Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal
| | - Rita Andrade
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal
- UCIBIO - Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal
| | - Daniel Sobral
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal
- UCIBIO - Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Ana Rita Grosso
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal.
- UCIBIO - Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal.
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11
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Rios F, Uriostegui-Arcos M, Zurita M. Transcriptional Stress Induces the Generation of DoGs in Cancer Cells. Noncoding RNA 2024; 10:5. [PMID: 38250805 PMCID: PMC10801504 DOI: 10.3390/ncrna10010005] [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] [Received: 11/21/2023] [Revised: 12/14/2023] [Accepted: 12/18/2023] [Indexed: 01/23/2024] Open
Abstract
A characteristic of the cellular response to stress is the production of RNAs generated from a readthrough transcription of genes, called downstream-of-gene-(DoG)-containing transcripts. Additionally, transcription inhibitor drugs are candidates for fighting cancer. In this work, we report the results of a bioinformatic analysis showing that one of the responses to transcription inhibition is the generation of DoGs in cancer cells. Although some genes that form DoGs were shared between the two cancer lines, there did not appear to be a functional correlation between them. However, our findings show that DoGs are generated as part of the cellular response to transcription inhibition like other types of cellular stress, suggesting that they may be part of the defense against transcriptional stress.
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Affiliation(s)
| | | | - Mario Zurita
- Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Av. Universidad 2001, Cuernavaca Morelos 62250, Mexico (M.U.-A.)
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12
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Liu L, Yu AM, Wang X, Soles LV, Teng X, Chen Y, Yoon Y, Sarkan KSK, Valdez MC, Linder J, England W, Spitale R, Yu Z, Marazzi I, Qiao F, Li W, Seelig G, Shi Y. The anticancer compound JTE-607 reveals hidden sequence specificity of the mRNA 3' processing machinery. Nat Struct Mol Biol 2023; 30:1947-1957. [PMID: 38087090 PMCID: PMC11663416 DOI: 10.1038/s41594-023-01161-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 10/24/2023] [Indexed: 12/18/2023]
Abstract
JTE-607 is an anticancer and anti-inflammatory compound and its active form, compound 2, directly binds to and inhibits CPSF73, the endonuclease for the cleavage step in pre-messenger RNA (pre-mRNA) 3' processing. Surprisingly, compound 2-mediated inhibition of pre-mRNA cleavage is sequence specific and the drug sensitivity is predominantly determined by sequences flanking the cleavage site (CS). Using massively parallel in vitro assays, we identified key sequence features that determine drug sensitivity. We trained a machine learning model that can predict poly(A) site (PAS) relative sensitivity to compound 2 and provide the molecular basis for understanding the impact of JTE-607 on PAS selection and transcription termination genome wide. We propose that CPSF73 and associated factors bind to the CS region in a sequence-dependent manner and the interaction affinity determines compound 2 sensitivity. These results have not only elucidated the mechanism of action of JTE-607, but also unveiled an evolutionarily conserved sequence specificity of the mRNA 3' processing machinery.
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Affiliation(s)
- Liang Liu
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
- Center for Virus Research, University of California, Irvine, Irvine, CA, USA
| | - Angela M Yu
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Seattle, WA, USA
| | - Xiuye Wang
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
- Guangzhou Laboratory, Guangdong, China
| | - Lindsey V Soles
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Xueyi Teng
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Yiling Chen
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Yoseop Yoon
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Kristianna S K Sarkan
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Marielle Cárdenas Valdez
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Johannes Linder
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Whitney England
- Department of Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA
| | - Robert Spitale
- Department of Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA
- Department of Chemistry, University of California, Irvine, Irvine, CA, USA
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | - Zhaoxia Yu
- Department of Statistics, University of California, Irvine, Irvine, CA, USA
| | - Ivan Marazzi
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Feng Qiao
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Wei Li
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Georg Seelig
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Seattle, WA, USA.
- Paul G Allen School of Computer Science and Engineering, University of Washington, Seattle, Seattle, WA, USA.
| | - Yongsheng Shi
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA.
- Center for Virus Research, University of California, Irvine, Irvine, CA, USA.
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13
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Cameron DP, Grosser J, Ladigan S, Kuzin V, Iliopoulou E, Wiegard A, Benredjem H, Jackson K, Liffers ST, Lueong S, Cheung PF, Vangala D, Pohl M, Viebahn R, Teschendorf C, Wolters H, Usta S, Geng K, Kutter C, Arsenian-Henriksson M, Siveke JT, Tannapfel A, Schmiegel W, Hahn SA, Baranello L. Coinhibition of topoisomerase 1 and BRD4-mediated pause release selectively kills pancreatic cancer via readthrough transcription. SCIENCE ADVANCES 2023; 9:eadg5109. [PMID: 37831776 PMCID: PMC10575591 DOI: 10.1126/sciadv.adg5109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 09/13/2023] [Indexed: 10/15/2023]
Abstract
Pancreatic carcinoma lacks effective therapeutic strategies resulting in poor prognosis. Transcriptional dysregulation due to alterations in KRAS and MYC affects initiation, development, and survival of this tumor type. Using patient-derived xenografts of KRAS- and MYC-driven pancreatic carcinoma, we show that coinhibition of topoisomerase 1 (TOP1) and bromodomain-containing protein 4 (BRD4) synergistically induces tumor regression by targeting promoter pause release. Comparing the nascent transcriptome with the recruitment of elongation and termination factors, we found that coinhibition of TOP1 and BRD4 disrupts recruitment of transcription termination factors. Thus, RNA polymerases transcribe downstream of genes for hundreds of kilobases leading to readthrough transcription. This occurs during replication, perturbing replisome progression and inducing DNA damage. The synergistic effect of TOP1 + BRD4 inhibition is specific to cancer cells leaving normal cells unaffected, highlighting the tumor's vulnerability to transcriptional defects. This preclinical study provides a mechanistic understanding of the benefit of combining TOP1 and BRD4 inhibitors to treat pancreatic carcinomas addicted to oncogenic drivers of transcription and replication.
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Affiliation(s)
- Donald P. Cameron
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Jan Grosser
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Swetlana Ladigan
- Ruhr University Bochum, Faculty of Medicine, Department of Molecular GI Oncology, Bochum, Germany
- Ruhr University Bochum, Knappschaftskrankenhaus, Department of Internal Medicine, Bochum, Germany
| | - Vladislav Kuzin
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Evanthia Iliopoulou
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Anika Wiegard
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Hajar Benredjem
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Kathryn Jackson
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Sven T. Liffers
- Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, partner site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany
- Bridge Institute of Experimental Tumor Therapy, West German Cancer Center, University Hospital Essen, Essen, Germany
| | - Smiths Lueong
- Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, partner site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany
- Bridge Institute of Experimental Tumor Therapy, West German Cancer Center, University Hospital Essen, Essen, Germany
| | - Phyllis F. Cheung
- Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, partner site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany
- Bridge Institute of Experimental Tumor Therapy, West German Cancer Center, University Hospital Essen, Essen, Germany
| | - Deepak Vangala
- Ruhr University Bochum, Faculty of Medicine, Department of Molecular GI Oncology, Bochum, Germany
- Ruhr University Bochum, Knappschaftskrankenhaus, Department of Internal Medicine, Bochum, Germany
| | - Michael Pohl
- Ruhr University Bochum, Knappschaftskrankenhaus, Department of Internal Medicine, Bochum, Germany
| | - Richard Viebahn
- Ruhr University Bochum, Knappschaftskrankenhaus, Department of Surgery, Bochum, Germany
| | | | - Heiner Wolters
- Department of Visceral and General Surgery, St. Josef-Hospital, Dortmund, Germany
| | - Selami Usta
- Department of Visceral and General Surgery, St. Josef-Hospital, Dortmund, Germany
| | - Keyi Geng
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | - Claudia Kutter
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | | | - Jens T. Siveke
- Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK, partner site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany
- Bridge Institute of Experimental Tumor Therapy, West German Cancer Center, University Hospital Essen, Essen, Germany
| | | | - Wolff Schmiegel
- Ruhr University Bochum, Knappschaftskrankenhaus, Department of Internal Medicine, Bochum, Germany
| | - Stephan A. Hahn
- Ruhr University Bochum, Faculty of Medicine, Department of Molecular GI Oncology, Bochum, Germany
| | - Laura Baranello
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
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14
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Ranjitkar S, Shiri M, Sun J, Tian X. Intergenic transcription in in vivo developed bovine oocytes and pre-implantation embryos. RESEARCH SQUARE 2023:rs.3.rs-2934322. [PMID: 37293046 PMCID: PMC10246250 DOI: 10.21203/rs.3.rs-2934322/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background Intergenic transcription, either failure to terminate at the transcription end site (TES), or transcription initiation at other intergenic regions, is present in cultured cells and enhanced in the presence of stressors such as viral infection. Transcription termination failure has not been characterized in natural biological samples such as pre-implantation embryos which express more than 10,000 genes and undergo drastic changes in DNA methylation. Results Using Automatic Readthrough Transcription Detection (ARTDeco) and data of in vivo developed bovine oocytes and embryos, we found abundant intergenic transcripts that we termed as read-outs (transcribed from 5 to 15 kb after TES) and read-ins (transcribed 1 kb up-stream of reference genes, extending up to 15 kb up-stream). Read-throughs (continued transcription from TES of expressed reference genes, 4-15 kb in length), however, were much fewer. For example, the numbers of read-outs and read-ins ranged from 3,084 to 6,565 or 33.36-66.67% of expressed reference genes at different stages of embryo development. The less copious read-throughs were at an average of 10% and significantly correlated with reference gene expression (P < 0.05). Interestingly, intergenic transcription did not seem to be random because many intergenic transcripts (1,504 read-outs, 1,045 read-ins, and 1,021 read-throughs) were associated with common reference genes across all stages of pre-implantation development. Their expression also seemed to be regulated by developmental stages because many were differentially expressed (log2 fold change ≥ 2, P < 0.05). Additionally, while gradual but un-patterned decreases in DNA methylation densities 10 kb both up- and down-stream of the intergenic transcribed regions were observed, the correlation between intergenic transcription and DNA methylation was insignificant. Finally, transcription factor binding motifs and polyadenylation signals were found in 27.2% and 12.15% of intergenic transcripts, respectively, suggesting considerable novel transcription initiation and RNA processing. Conclusion In summary, in vivo developed oocytes and pre-implantation embryos express large numbers of intergenic transcripts, which are not related to the overall DNA methylation profiles either up- or down-stream.
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15
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Boddu PC, Gupta A, Roy R, De La Pena Avalos B, Herrero AO, Neuenkirchen N, Zimmer J, Chandhok N, King D, Nannya Y, Ogawa S, Lin H, Simon M, Dray E, Kupfer G, Verma AK, Neugebauer KM, Pillai MM. Transcription elongation defects link oncogenic splicing factor mutations to targetable alterations in chromatin landscape. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.25.530019. [PMID: 36891287 PMCID: PMC9994134 DOI: 10.1101/2023.02.25.530019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Transcription and splicing of pre-messenger RNA are closely coordinated, but how this functional coupling is disrupted in human disease remains unexplored. Here, we investigated the impact of non-synonymous mutations in SF3B1 and U2AF1, two commonly mutated splicing factors in cancer, on transcription. We find that the mutations impair RNA Polymerase II (RNAPII) transcription elongation along gene bodies leading to transcription-replication conflicts, replication stress and altered chromatin organization. This elongation defect is linked to disrupted pre-spliceosome assembly due to impaired association of HTATSF1 with mutant SF3B1. Through an unbiased screen, we identified epigenetic factors in the Sin3/HDAC complex, which, when modulated, normalize transcription defects and their downstream effects. Our findings shed light on the mechanisms by which oncogenic mutant spliceosomes impact chromatin organization through their effects on RNAPII transcription elongation and present a rationale for targeting the Sin3/HDAC complex as a potential therapeutic strategy. GRAPHICAL ABSTRACT HIGHLIGHTS Oncogenic mutations of SF3B1 and U2AF1 cause a gene-body RNAPII elongation defectRNAPII transcription elongation defect leads to transcription replication conflicts, DNA damage response, and changes to chromatin organization and H3K4me3 marksThe transcription elongation defect is linked to disruption of the early spliceosome formation through impaired interaction of HTATSF1 with mutant SF3B1.Changes to chromatin organization reveal potential therapeutic strategies by targeting the Sin3/HDAC pathway.
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16
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Yuita H, López-Moyado IF, Jeong H, Cheng AX, Scott-Browne J, An J, Nakayama T, Onodera A, Ko M, Rao A. Inducible disruption of Tet genes results in myeloid malignancy, readthrough transcription, and a heterochromatin-to-euchromatin switch. Proc Natl Acad Sci U S A 2023; 120:e2214824120. [PMID: 37406303 PMCID: PMC9963276 DOI: 10.1073/pnas.2214824120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/29/2022] [Indexed: 08/03/2023] Open
Abstract
The three mammalian TET dioxygenases oxidize the methyl group of 5-methylcytosine in DNA, and the oxidized methylcytosines are essential intermediates in all known pathways of DNA demethylation. To define the in vivo consequences of complete TET deficiency, we inducibly deleted all three Tet genes in the mouse genome. Tet1/2/3-inducible TKO (iTKO) mice succumbed to acute myeloid leukemia (AML) by 4 to 5 wk. Single-cell RNA sequencing of Tet iTKO bone marrow cells revealed the appearance of new myeloid cell populations characterized by a striking increase in expression of all members of the stefin/cystatin gene cluster on mouse chromosome 16. In patients with AML, high stefin/cystatin gene expression correlates with poor clinical outcomes. Increased expression of the clustered stefin/cystatin genes was associated with a heterochromatin-to-euchromatin compartment switch with readthrough transcription downstream of the clustered stefin/cystatin genes as well as other highly expressed genes, but only minor changes in DNA methylation. Our data highlight roles for TET enzymes that are distinct from their established function in DNA demethylation and instead involve increased transcriptional readthrough and changes in three-dimensional genome organization.
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Affiliation(s)
- Hiroshi Yuita
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA92037
| | - Isaac F. López-Moyado
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA92037
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92093
| | - Hyeongmin Jeong
- Department of Biological Sciences, Ulsan National Institute of Science and Technology, Ulsan44919, Republic of Korea
| | - Arthur Xiuyuan Cheng
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA92037
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92093
| | - James Scott-Browne
- Department of Immunology and Genomic Medicine, National Jewish Health, Denver, CO80206
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, CO80045
| | - Jungeun An
- Department of Life Sciences, Jeonbuk National University, Jeonju54896, Republic of Korea
| | - Toshinori Nakayama
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba260-8670, Japan
- Japan Agency for Medical Research and Development (AMED), Core Research for Evolutional Science and Technology (CREST), Chiba260-8670, Japan
| | - Atsushi Onodera
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA92037
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba260-8670, Japan
- Institute for Advanced Academic Research, Chiba University, Inage-ku, Chiba263-8522, Japan
| | - Myunggon Ko
- Department of Biological Sciences, Ulsan National Institute of Science and Technology, Ulsan44919, Republic of Korea
- Center for Genomic Integrity, Institute for Basic Science, Ulsan44919, Republic of Korea
| | - Anjana Rao
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA92037
- Sanford Consortium for Regenerative Medicine, La Jolla, CA92093
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17
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Hadar S, Meller A, Saida N, Shalgi R. Stress-induced transcriptional readthrough into neighboring genes is linked to intron retention. iScience 2022; 25:105543. [PMID: 36505935 PMCID: PMC9732411 DOI: 10.1016/j.isci.2022.105543] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/10/2022] [Accepted: 11/07/2022] [Indexed: 11/11/2022] Open
Abstract
Exposure to certain stresses leads to readthrough transcription. Using polyA-selected RNA-seq in mouse fibroblasts subjected to heat shock, oxidative, or osmotic stress, we found that readthrough transcription can proceed into proximal downstream genes, in a phenomenon previously termed "read-in." We found that read-in genes share distinctive genomic characteristics; they are GC-rich and extremely short , with genomic features conserved in human. Using ribosome profiling, we found that read-in genes show significantly reduced translation. Strikingly, read-in genes demonstrate marked intron retention, mostly in their first introns, which could not be explained solely by their short introns and GC-richness, features often associated with intron retention. Finally, we revealed H3K36me3 enrichment upstream to read-in genes. Moreover, demarcation of exon-intron junctions by H3K36me3 was absent in read-in first introns. Our data portray a relationship between read-in and intron retention, suggesting they may have co-evolved to facilitate reduced translation of read-in genes during stress.
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Affiliation(s)
- Shani Hadar
- Department of Biochemistry, Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa 31096, Israel
| | - Anatoly Meller
- Department of Biochemistry, Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa 31096, Israel
| | - Naseeb Saida
- Department of Biochemistry, Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa 31096, Israel
| | - Reut Shalgi
- Department of Biochemistry, Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa 31096, Israel
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18
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Morgan M, Shiekhattar R, Shilatifard A, Lauberth SM. It's a DoG-eat-DoG world-altered transcriptional mechanisms drive downstream-of-gene (DoG) transcript production. Mol Cell 2022; 82:1981-1991. [PMID: 35487209 PMCID: PMC9208299 DOI: 10.1016/j.molcel.2022.04.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/24/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
Abstract
The past decade has revolutionized our understanding of regulatory noncoding RNAs (ncRNAs). Among the most recently identified ncRNAs are downstream-of-gene (DoG)-containing transcripts that are produced by widespread transcriptional readthrough. The discovery of DoGs has set the stage for future studies to address many unanswered questions regarding the mechanisms that promote readthrough transcription, RNA processing, and the cellular functions of the unique transcripts. In this review, we summarize current findings regarding the biogenesis, function, and mechanisms regulating this exciting new class of RNA molecules.
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Affiliation(s)
- Marc Morgan
- Simpson Querrey Institute for Epigenetics and Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Ramin Shiekhattar
- Department of Human Genetics, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Ali Shilatifard
- Simpson Querrey Institute for Epigenetics and Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Shannon M Lauberth
- Simpson Querrey Institute for Epigenetics and Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
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19
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Rosa-Mercado NA, Steitz JA. Who let the DoGs out? - biogenesis of stress-induced readthrough transcripts. Trends Biochem Sci 2022; 47:206-217. [PMID: 34489151 PMCID: PMC8840951 DOI: 10.1016/j.tibs.2021.08.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/27/2021] [Accepted: 08/10/2021] [Indexed: 01/22/2023]
Abstract
Readthrough transcription caused by inefficient 3'-end cleavage of nascent mRNAs has emerged as a hallmark of the mammalian cellular stress response and results in the production of long noncoding RNAs known as downstream-of-gene (DoG)-containing transcripts. DoGs arise from around 10% of human protein-coding genes and are retained in the nucleus. They are produced minutes after cell exposure to stress and can be detected hours after stress removal. However, their biogenesis and the role(s) that DoGs or their production play in the cellular stress response are incompletely understood. We discuss findings that implicate host and viral proteins in the mechanisms underlying DoG production, as well as the transcriptional landscapes that accompany DoG induction under different stress conditions.
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Affiliation(s)
- Nicolle A Rosa-Mercado
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
| | - Joan A Steitz
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA; Howard Hughes Medical Institute, Yale University, New Haven, CT, USA.
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20
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Sabino JC, de Almeida MR, Abreu PL, Ferreira AM, Caldas P, Domingues MM, Santos NC, Azzalin CM, Grosso AR, de Almeida SF. Epigenetic reprogramming by TET enzymes impacts co-transcriptional R-loops. eLife 2022; 11:69476. [PMID: 35191837 PMCID: PMC8896830 DOI: 10.7554/elife.69476] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
DNA oxidation by ten-eleven translocation (TET) family enzymes is essential for epigenetic reprogramming. The conversion of 5-methylcytosine (5mC) into 5-hydroxymethylcytosine (5hmC) initiates developmental and cell-type-specific transcriptional programs through mechanisms that include changes in the chromatin structure. Here, we show that the presence of 5hmC in the transcribed gene promotes the annealing of the nascent RNA to the template DNA strand, leading to the formation of an R-loop. Depletion of TET enzymes reduced global R-loops in absence of gene expression changes, whereas CRISPR-mediated tethering of TET to an active gene promoted the formation of R-loops. The genome-wide distribution of 5hmC and R-loops show a positive correlation in mouse and human stem cells and overlap in half of all active genes. Moreover, R-loop resolution leads to differential expression of a subset of genes that are involved in crucial events during stem cell proliferation. Altogether, our data reveal that epigenetic reprogramming via TET activity promotes co-transcriptional R-loop formation, disclosing new mechanisms of gene expression regulation.
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Affiliation(s)
- João C Sabino
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Madalena R de Almeida
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Patrícia L Abreu
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Ana M Ferreira
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Paulo Caldas
- Institute for Health and Bioeconomy, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Marco M Domingues
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Nuno C Santos
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Claus M Azzalin
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Ana Rita Grosso
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Sérgio Fernandes de Almeida
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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21
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Mora Gallardo C, Sánchez de Diego A, Martínez-A C, van Wely KHM. Interplay between splicing and transcriptional pausing exerts genome-wide control over alternative polyadenylation. Transcription 2021; 12:55-71. [PMID: 34365909 PMCID: PMC8555548 DOI: 10.1080/21541264.2021.1959244] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Recent studies have identified multiple polyadenylation sites in nearly all mammalian genes. Although these are interpreted as evidence for alternative polyadenylation, our knowledge of the underlying mechanisms is still limited. Most studies only consider the immediate surroundings of gene ends, even though in vitro experiments have uncovered the involvement of external factors such as splicing. Whereas in vivo splicing manipulation was impracticable until recently, we now used mutants in the Death Inducer Obliterator (DIDO) gene to study their impact on 3ʹ end processing. We observe multiple rounds of readthrough and gene fusions, suggesting that no arbitration between polyadenylation sites occurs. Instead, a window of opportunity seems to control end processing. Through the identification of T-rich sequence motifs, our data indicate that splicing and transcriptional pausing interact to regulate alternative polyadenylation. We propose that 3ʹ splice site activation comprises a variable timer, which determines how long transcription proceeds before polyadenylation signals are recognized. Thus, the role of core polyadenylation signals could be more passive than commonly believed. Our results provide new insights into the mechanisms of alternative polyadenylation and expand the catalog of related aberrations. Abbreviations APA: alternative polyadenylation; bp: basepair; MEF: mouse embryonic fibroblasts; PA: polyadenylation; PAS: polyadenylation site; Pol II: (RNA) polymerase II ; RT-PCR:reverse-transcriptase PCR; SF:splicing factor; SFPQ:splicing factor rich in proline and glutamine; SS:splice site; TRSM:Thymidine rich sequence motif; UTR:untranslated terminal region
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Affiliation(s)
- Carmen Mora Gallardo
- Department of Immunology and Oncology Centro Nacional De Biotecnología (CNB)/, CSIC Darwin 3, Campus UAM Cantoblanco, Madrid, Spain
| | - Ainhoa Sánchez de Diego
- Department of Immunology and Oncology Centro Nacional De Biotecnología (CNB)/, CSIC Darwin 3, Campus UAM Cantoblanco, Madrid, Spain
| | - Carlos Martínez-A
- Department of Immunology and Oncology Centro Nacional De Biotecnología (CNB)/, CSIC Darwin 3, Campus UAM Cantoblanco, Madrid, Spain
| | - Karel H M van Wely
- Department of Immunology and Oncology Centro Nacional De Biotecnología (CNB)/, CSIC Darwin 3, Campus UAM Cantoblanco, Madrid, Spain
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22
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Hyperosmotic stress alters the RNA polymerase II interactome and induces readthrough transcription despite widespread transcriptional repression. Mol Cell 2021; 81:502-513.e4. [PMID: 33400923 DOI: 10.1016/j.molcel.2020.12.002] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 10/11/2020] [Accepted: 11/30/2020] [Indexed: 02/04/2023]
Abstract
Stress-induced readthrough transcription results in the synthesis of downstream-of-gene (DoG)-containing transcripts. The mechanisms underlying DoG formation during cellular stress remain unknown. Nascent transcription profiles during DoG induction in human cell lines using TT-TimeLapse sequencing revealed widespread transcriptional repression upon hyperosmotic stress. Yet, DoGs are produced regardless of the transcriptional level of their upstream genes. ChIP sequencing confirmed that stress-induced redistribution of RNA polymerase (Pol) II correlates with the transcriptional output of genes. Stress-induced alterations in the Pol II interactome are observed by mass spectrometry. While certain cleavage and polyadenylation factors remain Pol II associated, Integrator complex subunits dissociate from Pol II under stress leading to a genome-wide loss of Integrator on DNA. Depleting the catalytic subunit of Integrator using siRNAs induces hundreds of readthrough transcripts, whose parental genes partially overlap those of stress-induced DoGs. Our results provide insights into the mechanisms underlying DoG production and how Integrator activity influences DoG transcription.
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