1
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Tlučková K, Kaczmarek B, Salmazo A, Bernecky C. Mechanism of mammalian transcriptional repression by noncoding RNA. Nat Struct Mol Biol 2025; 32:607-612. [PMID: 39762629 PMCID: PMC11996674 DOI: 10.1038/s41594-024-01448-7] [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: 09/05/2023] [Accepted: 11/08/2024] [Indexed: 04/16/2025]
Abstract
Transcription by RNA polymerase II (Pol II) can be repressed by noncoding RNA, including the human RNA Alu. However, the mechanism by which endogenous RNAs repress transcription remains unclear. Here we present cryogenic-electron microscopy structures of Pol II bound to Alu RNA, which reveal that Alu RNA mimics how DNA and RNA bind to Pol II during transcription elongation. Further, we show how distinct domains of the general transcription factor TFIIF control repressive activity. Together, we reveal how a noncoding RNA can regulate mammalian gene expression.
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Affiliation(s)
- Katarína Tlučková
- Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria
| | - Beata Kaczmarek
- Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria
| | - Anita Salmazo
- Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria
| | - Carrie Bernecky
- Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria.
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2
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Ariza AJF, Lue NZ, Grob P, Kaeser B, Fang J, Kassube SA, Nogales E. Structural insights into transcriptional regulation by the helicase RECQL5. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.01.29.634372. [PMID: 39975028 PMCID: PMC11838285 DOI: 10.1101/2025.01.29.634372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/21/2025]
Abstract
Transcription and its regulation pose a major challenge for genome stability. The helicase RECQL5 has been proposed as an important factor to help safeguard the genome, and is the only member of the human RecQ helicase family that directly binds to RNA Polymerase II (Pol II) and affects its progression. RECQL5 mitigates transcription stress and genome instability in cells, yet the molecular mechanism underlying this phenomenon is unclear. Here, we employ cryo-electron microscopy (cryo-EM) to determine the structures of stalled Pol II elongation complexes (ECs) bound to RECQL5. Our structures reveal the molecular interactions stabilizing RECQL5 binding to the Pol II EC and highlight its role as a transcriptional roadblock. Additionally, we find that RECQL5 can modulate the Pol II translocation state. In its nucleotide-free state, RECQL5 mechanically twists the downstream DNA in the EC, and upon nucleotide binding, it undergoes a conformational change that allosterically induces Pol II towards a post-translocation state. We propose this mechanism may help restart Pol II elongation and therefore contribute to reduction of transcription stress.
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Affiliation(s)
- Alfredo Jose Florez Ariza
- California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA
- Biophysics Graduate Group, University of California, Berkeley, Berkeley, CA, USA
| | - Nicholas Z. Lue
- California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA
| | - Patricia Grob
- California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA
- Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Benjamin Kaeser
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Jie Fang
- Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Susanne A. Kassube
- Biophysics Graduate Group, University of California, Berkeley, Berkeley, CA, USA
- Present address: Department of Biochemistry, Universität Zürich, Zurich, CH
| | - Eva Nogales
- California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA
- Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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3
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Tran TTQ, Pham TT, Nguyen TT, Hien Do T, Luu PTT, Nguyen UQ, Vuong LD, Nguyen QN, Ho SV, Dao HV, Hoang TV, Vo LTT. An appropriate DNA input for bisulfite conversion reveals LINE-1 and Alu hypermethylation in tissues and circulating cell-free DNA from cancers. PLoS One 2024; 19:e0316394. [PMID: 39775734 PMCID: PMC11684646 DOI: 10.1371/journal.pone.0316394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Accepted: 12/10/2024] [Indexed: 01/11/2025] Open
Abstract
The autonomous and active Long-Interspersed Element-1 (LINE-1, L1) and the non-autonomous Alu retrotransposon elements, contributing to 30% of the human genome, are the most abundant repeated sequences. With more than 90% of their sequences being methylated in normal cells, these elements undeniably contribute to the global DNA methylation level and constitute a major part of circulating-cell-free DNA (cfDNA). So far, the hypomethylation status of LINE-1 and Alu in cellular and extracellular DNA has long been considered a prevailing hallmark of ageing-related diseases and cancer. This study demonstrated that errors in LINE-1 and Alu methylation level measurements were caused by an excessive input quantity of genomic DNA used for bisulfite conversion. Using the minuscule DNA amount of 0.5 ng, much less than what has been used and recommended so far (500 ng-2 μg) or 1 μL of cfDNA extracted from 1 mL of blood, we revealed hypermethylation of LINE-1 and Alu in 407 tumour samples of primary breast, colon and lung cancers when compared with the corresponding pair-matched adjacent normal tissue samples (P < 0.05-0.001), and in cfDNA from 296 samples of lung cancers as compared with 477 samples from healthy controls (P < 0.0001). More importantly, LINE-1 hypermethylation in cfDNA is associated with healthy ageing. Our results have not only contributed to the standardized bisulfite-based protocols for DNA methylation assays, particularly in applications on repeated sequences but also provided another perspective for other repetitive sequences whose epigenetic properties may have crucial impacts on genome architecture and human health.
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Affiliation(s)
- Trang Thi Quynh Tran
- Faculty of Biology, VNU University of Science, Vietnam National University, Hanoi, Vietnam
- VNU Institute of Microbiology and Biotechnology, Hanoi, Vietnam
| | - Tung The Pham
- Faculty of Biology, VNU University of Science, Vietnam National University, Hanoi, Vietnam
| | - Than Thi Nguyen
- Faculty of Biology, VNU University of Science, Vietnam National University, Hanoi, Vietnam
- Department of Chemistry, 175 Hospital, Ho Chi Minh City, Vietnam
| | - Trang Hien Do
- Faculty of Biology, VNU University of Science, Vietnam National University, Hanoi, Vietnam
| | - Phuong Thi Thu Luu
- Faculty of Biology, VNU University of Science, Vietnam National University, Hanoi, Vietnam
| | | | - Linh Dieu Vuong
- Pathology and Molecular Biology Center, Vietnam National Cancer Hospital, Hanoi, Vietnam
| | - Quang Ngoc Nguyen
- Pathology and Molecular Biology Center, Vietnam National Cancer Hospital, Hanoi, Vietnam
| | - Son Van Ho
- Department of Chemistry, 175 Hospital, Ho Chi Minh City, Vietnam
| | - Hang Viet Dao
- Endoscopic Centre, Hanoi Medical University Hospital, Hanoi, Vietnam
| | | | - Lan Thi Thuong Vo
- Faculty of Biology, VNU University of Science, Vietnam National University, Hanoi, Vietnam
- VNU Institute of Microbiology and Biotechnology, Hanoi, Vietnam
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4
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Zhou L, Cheng A, Wang M, Wu Y, Yang Q, Tian B, Ou X, Sun D, Zhang S, Mao S, Zhao XX, Huang J, Gao Q, Zhu D, Jia R, Liu M, Chen S. Mechanism of herpesvirus protein kinase UL13 in immune escape and viral replication. Front Immunol 2022; 13:1088690. [PMID: 36531988 PMCID: PMC9749954 DOI: 10.3389/fimmu.2022.1088690] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 11/15/2022] [Indexed: 12/05/2022] Open
Abstract
Upon infection, the herpes viruses create a cellular environment suitable for survival, but innate immunity plays a vital role in cellular resistance to viral infection. The UL13 protein of herpesviruses is conserved among all herpesviruses and is a serine/threonine protein kinase, which plays a vital role in escaping innate immunity and promoting viral replication. On the one hand, it can target various immune signaling pathways in vivo, such as the cGAS-STING pathway and the NF-κB pathway. On the other hand, it phosphorylates regulatory many cellular and viral proteins for promoting the lytic cycle. This paper reviews the research progress of the conserved herpesvirus protein kinase UL13 in immune escape and viral replication to provide a basis for elucidating the pathogenic mechanism of herpesviruses, as well as providing insights into the potential means of immune escape and viral replication of other herpesviruses that have not yet resolved the function of it.
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Affiliation(s)
- Lin Zhou
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Anchun Cheng
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Mingshu Wang
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,*Correspondence: Mingshu Wang,
| | - Ying Wu
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Qiao Yang
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Bin Tian
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xumin Ou
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Di Sun
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Shaqiu Zhang
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Sai Mao
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xin-Xin Zhao
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Juan Huang
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Qun Gao
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Dekang Zhu
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Renyong Jia
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Mafeng Liu
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Shun Chen
- Institute of Preventive Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China,Key Laboratory of Animal Disease and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, China,Avian Disease Research Center, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, Sichuan, China
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5
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Noncoding RNAs Set the Stage for RNA Polymerase II Transcription. Trends Genet 2020; 37:279-291. [PMID: 33046273 DOI: 10.1016/j.tig.2020.09.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 09/11/2020] [Accepted: 09/14/2020] [Indexed: 12/24/2022]
Abstract
Effective synthesis of mammalian messenger (m)RNAs depends on many factors that together direct RNA polymerase II (pol II) through the different stages of the transcription cycle and ensure efficient cotranscriptional processing of mRNAs. In addition to the many proteins involved in transcription initiation, elongation, and termination, several noncoding (nc)RNAs also function as global transcriptional regulators. Understanding the mode of action of these non-protein regulators has been an intense area of research in recent years. Here, we describe how these ncRNAs influence key regulatory steps of the transcription process, to affect large numbers of genes. Through direct association with pol II or by modulating the activity of transcription or RNA processing factors, these regulatory RNAs perform critical roles in gene expression.
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6
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Herbert A. ALU non-B-DNA conformations, flipons, binary codes and evolution. ROYAL SOCIETY OPEN SCIENCE 2020; 7:200222. [PMID: 32742689 PMCID: PMC7353975 DOI: 10.1098/rsos.200222] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 05/18/2020] [Indexed: 05/08/2023]
Abstract
ALUs contribute to genetic diversity by altering DNA's linear sequence through retrotransposition, recombination and repair. ALUs also have the potential to form alternative non-B-DNA conformations such as Z-DNA, triplexes and quadruplexes that alter the read-out of information from the genome. I suggest here these structures enable the rapid reprogramming of cellular pathways to offset DNA damage and regulate inflammation. The experimental data supporting this form of genetic encoding is presented. ALU sequence motifs that form non-B-DNA conformations under physiological conditions are called flipons. Flipons are binary switches. They are dissipative structures that trade energy for information. By efficiently targeting cellular machines to active genes, flipons expand the repertoire of RNAs compiled from a gene. Their action greatly increases the informational capacity of linearly encoded genomes. Flipons are programmable by epigenetic modification, synchronizing cellular events by altering both chromatin state and nucleosome phasing. Different classes of flipon exist. Z-flipons are based on Z-DNA and modify the transcripts compiled from a gene. T-flipons are based on triplexes and localize non-coding RNAs that direct the assembly of cellular machines. G-flipons are based on G-quadruplexes and sense DNA damage, then trigger the appropriate protective responses. Flipon conformation is dynamic, changing with context. When frozen in one state, flipons often cause disease. The propagation of flipons throughout the genome by ALU elements represents a novel evolutionary innovation that allows for rapid change. Each ALU insertion creates variability by extracting a different set of information from the neighbourhood in which it lands. By elaborating on already successful adaptations, the newly compiled transcripts work with the old to enhance survival. Systems that optimize flipon settings through learning can adapt faster than with other forms of evolution. They avoid the risk of relying on random and irreversible codon rewrites.
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7
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TDP-43 regulates transcription at protein-coding genes and Alu retrotransposons. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2019; 1862:194434. [PMID: 31655156 DOI: 10.1016/j.bbagrm.2019.194434] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 09/19/2019] [Accepted: 09/24/2019] [Indexed: 12/13/2022]
Abstract
The 43-kDa transactive response DNA-binding protein (TDP-43) is an example of an RNA-binding protein that regulates RNA metabolism at multiple levels from transcription and splicing to translation. Its role in post-transcriptional RNA processing has been a primary focus of recent research, but its role in regulating transcription has been studied for only a few human genes. We characterized the effects of TDP-43 on transcription genome-wide and found that TDP-43 broadly affects transcription of protein-coding and noncoding RNA genes. Among protein-coding genes, the effects of TDP-43 were greatest for genes <30 thousand base pairs in length. Surprisingly, we found that the loss of TDP-43 resulted in increased evidence for transcription activity near repetitive Alu elements found within expressed genes. The highest densities of affected Alu elements were found in the shorter genes, whose transcription was most affected by TDP-43. Thus, in addition to its role in post-transcriptional RNA processing, TDP-43 plays a critical role in maintaining the transcriptional stability of protein-coding genes and transposable DNA elements.
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8
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Abstract
A new Gaussian mixture model (GMM) has been developed for better representations of both atomic models and electron microscopy 3D density maps. The standard GMM algorithm employs an EM algorithm to determine the parameters. It accepted a set of 3D points with weights, corresponding to voxel or atomic centers. Although the standard algorithm worked reasonably well; however, it had three problems. First, it ignored the size (voxel width or atomic radius) of the input, and thus it could lead to a GMM with a smaller spread than the input. Second, the algorithm had a singularity problem, as it sometimes stopped the iterative procedure due to a Gaussian function with almost zero variance. Third, a map with a large number of voxels required a long computation time for conversion to a GMM. To solve these problems, we have introduced a Gaussian-input GMM algorithm, which considers the input atoms or voxels as a set of Gaussian functions. The standard EM algorithm of GMM was extended to optimize the new GMM. The new GMM has identical radius of gyration to the input, and does not suddenly stop due to the singularity problem. For fast computation, we have introduced a down-sampled Gaussian functions (DSG) by merging neighboring voxels into an anisotropic Gaussian function. It provides a GMM with thousands of Gaussian functions in a short computation time. We also have introduced a DSG-input GMM: the Gaussian-input GMM with the DSG as the input. This new algorithm is much faster than the standard algorithm.
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Affiliation(s)
- Takeshi Kawabata
- Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka 565-0871, Japan.
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9
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Burenina OY, Oretskaya TS, Kubareva EA. Non-Coding RNAs As Transcriptional Regulators In Eukaryotes. Acta Naturae 2017; 9:13-25. [PMID: 29340213 PMCID: PMC5762824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Indexed: 10/31/2022] Open
Abstract
Non-coding RNAs up to 1,000 nucleotides in length are widespread in eukaryotes and fulfil various regulatory functions, in particular during chromatin remodeling and cell proliferation. These RNAs are not translated into proteins: thus, they are non-coding RNAs (ncRNAs). The present review describes the eukaryotic ncRNAs involved in transcription regulation, first and foremost, targeting RNA polymerase II (RNAP II) and/or its major proteinaceous transcription factors. The current state of knowledge concerning the regulatory functions of SRA and TAR RNA, 7SK and U1 snRNA, GAS5 and DHFR RNA is summarized herein. Special attention is given to murine B1 and B2 RNAs and human Alu RNA, due to their ability to bind the active site of RNAP II. Discovery of bacterial analogs of the eukaryotic small ncRNAs involved in transcription regulation, such as 6S RNAs, suggests that they possess a common evolutionary origin.
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Affiliation(s)
- O. Y. Burenina
- Skolkovo Institute of Science and Technology, Nobel Str. 3, Moscow, 143026, Russia
- Lomonosov Moscow State University, Chemistry Department, Leninskie Gory 1, bld. 3, Moscow, 119991 , Russia
| | - T. S. Oretskaya
- Lomonosov Moscow State University, Chemistry Department, Leninskie Gory 1, bld. 3, Moscow, 119991 , Russia
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Leninskie Gory 1, bld. 40, Moscow, 119991, Russia
| | - E. A. Kubareva
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Leninskie Gory 1, bld. 40, Moscow, 119991, Russia
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10
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Kantidze OL, Velichko AK, Razin SV. Heat Stress-Induced Transcriptional Repression. BIOCHEMISTRY (MOSCOW) 2016; 80:990-3. [PMID: 26547066 DOI: 10.1134/s0006297915080039] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Heat stress is one of the most popular models for studying the regulation of gene expression. For decades, researchers' attention was focused on the study of the mechanisms of transcriptional activation of stress-induced genes. Although the phenomenon of heat stress-induced global transcriptional repression is known for a long time, the exact molecular mechanisms of such a repression are poorly explored. In this mini-review, we attempt to summarize the existing experimental data on heat stress-induced transcriptional repression.
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Affiliation(s)
- O L Kantidze
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia.
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11
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Flynn RA, Do BT, Rubin AJ, Calo E, Lee B, Kuchelmeister H, Rale M, Chu C, Kool ET, Wysocka J, Khavari PA, Chang HY. 7SK-BAF axis controls pervasive transcription at enhancers. Nat Struct Mol Biol 2016; 23:231-8. [PMID: 26878240 PMCID: PMC4982704 DOI: 10.1038/nsmb.3176] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2015] [Accepted: 01/20/2016] [Indexed: 01/08/2023]
Abstract
RNA functions at enhancers remain mysterious. Here we show that the 7SK small nuclear RNA (snRNA) inhibits enhancer transcription by modulating nucleosome position. 7SK occupies enhancers and super enhancers genome-wide in mouse and human cells, and 7SK is required to limit eRNA initiation and synthesis in a manner distinct from promoter pausing. Clustered elements at super enhancers uniquely require 7SK to prevent convergent transcription and DNA damage signaling. 7SK physically interacts with the BAF chromatin remodeling complex, recruit BAF to enhancers, and inhibits enhancer transcription by modulating chromatin structure. In turn, 7SK occupancy at enhancers coincides with Brd4 and is exquisitely sensitive to the bromodomain inhibitor JQ1. Thus, 7SK employs distinct mechanisms to counteract diverse consequences of pervasive transcription that distinguish super enhancers, enhancers, and promoters.
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Affiliation(s)
- Ryan A Flynn
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA.,Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Brian T Do
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA.,Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Adam J Rubin
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Eliezer Calo
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Byron Lee
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA.,Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA
| | | | - Michael Rale
- The Genome Institute, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Ci Chu
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA.,Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Eric T Kool
- Department of Chemistry, Stanford University, Stanford, California, USA
| | - Joanna Wysocka
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Paul A Khavari
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA.,Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, USA
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12
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Bernecky C, Herzog F, Baumeister W, Plitzko JM, Cramer P. Structure of transcribing mammalian RNA polymerase II. Nature 2016; 529:551-4. [DOI: 10.1038/nature16482] [Citation(s) in RCA: 147] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 11/24/2015] [Indexed: 12/12/2022]
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13
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Karijolich J, Abernathy E, Glaunsinger BA. Infection-Induced Retrotransposon-Derived Noncoding RNAs Enhance Herpesviral Gene Expression via the NF-κB Pathway. PLoS Pathog 2015; 11:e1005260. [PMID: 26584434 PMCID: PMC4652899 DOI: 10.1371/journal.ppat.1005260] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Accepted: 10/13/2015] [Indexed: 02/07/2023] Open
Abstract
Short interspersed nuclear elements (SINEs) are highly abundant, RNA polymerase III-transcribed noncoding retrotransposons that are silenced in somatic cells but activated during certain stresses including viral infection. How these induced SINE RNAs impact the host-pathogen interaction is unknown. Here we reveal that during murine gammaherpesvirus 68 (MHV68) infection, rapidly induced SINE RNAs activate the antiviral NF-κB signaling pathway through both mitochondrial antiviral-signaling protein (MAVS)-dependent and independent mechanisms. However, SINE RNA-based signaling is hijacked by the virus to enhance viral gene expression and replication. B2 RNA expression stimulates IKKβ-dependent phosphorylation of the major viral lytic cycle transactivator protein RTA, thereby enhancing its activity and increasing progeny virion production. Collectively, these findings suggest that SINE RNAs participate in the innate pathogen response mechanism, but that herpesviruses have evolved to co-opt retrotransposon activation for viral benefit. Short interspersed nuclear elements (SINEs) are noncoding mobile genetic elements that are present at ~106 copies per mammalian genome, roughly comprising 10% of mammalian genomic real estate. SINEs are typically transcriptionally silenced, though in some cases viral infection can promote their expression, yet to an unknown functional outcome. Thus, SINE elements represent the largest class of infection-inducible noncoding RNAs that are functionally uncharacterized. Here, we reveal that SINE RNAs play a critical role in the host-pathogen interaction in that they are required for efficient murine gammaherpesvirus 68 (MHV68) replication and gene expression. We demonstrate that SINE RNAs, both exogenously expressed and infection-induced, are robust activators of the IKKβ kinase, a key signaling molecule in the innate immune response. Activation of the IKKβ kinase by SINE RNA is mediated through both MAVS-dependent and independent mechanisms. Moreover, we demonstrate the activation of the IKKβ via SINE RNA is required to drive the phosphorylation of MHV68 RTA, the main viral transcriptional activator, which enhances its transcriptional activating property. Collectively, we reveal the first example of a role for SINE RNAs in the host-pathogen interaction and identify them as a key immune signaling molecule early during infection. Though SINE RNAs activate the innate immune response, MHV68 has co-opted SINE-mediate innate immune activation to enhance the viral lifecycle.
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Affiliation(s)
- John Karijolich
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, California, United States of America
| | - Emma Abernathy
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, California, United States of America
| | - Britt A. Glaunsinger
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, California, United States of America
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, United States of America
- Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, California, United States of America
- * E-mail:
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14
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Ponicsan SL, Kugel JF, Goodrich JA. Repression of RNA Polymerase II Transcription by B2 RNA Depends on a Specific Pattern of Structural Regions in the RNA. Noncoding RNA 2015; 1:4-16. [PMID: 26405685 PMCID: PMC4578731 DOI: 10.3390/ncrna1010004] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
B2 RNA is a mouse non-coding RNA that binds directly to RNA polymerase II (Pol II) and represses transcription by disrupting critical interactions between the polymerase and promoter DNA. How the structural regions within B2 RNA work together to mediate transcriptional repression is not well understood. To address this question, we systematically deleted structural regions from B2 RNA and determined the effects on transcriptional repression using a highly purified Pol II in vitro transcription system. Deletions that compromised the ability of B2 RNA to function as a transcriptional repressor were also tested for their ability to bind directly to Pol II, which enabled us to distinguish regions uniquely important for repression from those important for binding. We found that transcriptional repression requires a pattern of RNA structural motifs consisting of an extended single-stranded region bordered by two stem-loops. Hence, there is modularity in the function of the stem-loops in B2 RNA-when one stem-loop is deleted, another can take its place to enable transcriptional repression.
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Affiliation(s)
| | - Jennifer F. Kugel
- Authors to whom correspondence should be addressed; E-Mails: (J.G.); (J.K.); Tel.: +1-303-492-3273 (J.G.); Tel.: +1-303-492-3596 (J.K.)
| | - James A. Goodrich
- Authors to whom correspondence should be addressed; E-Mails: (J.G.); (J.K.); Tel.: +1-303-492-3273 (J.G.); Tel.: +1-303-492-3596 (J.K.)
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15
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Ostankovitch M, Pyle AM. Noncoding RNAs: A story of networks and long-distance relationships. J Mol Biol 2013; 425:3577-81. [PMID: 23911549 DOI: 10.1016/j.jmb.2013.07.032] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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16
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Kassube SA, Jinek M, Fang J, Tsutakawa S, Nogales E. Structural mimicry in transcription regulation of human RNA polymerase II by the DNA helicase RECQL5. Nat Struct Mol Biol 2013; 20:892-9. [PMID: 23748380 PMCID: PMC3702667 DOI: 10.1038/nsmb.2596] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Accepted: 04/25/2013] [Indexed: 11/22/2022]
Abstract
RECQL5 is a member of the highly conserved RecQ family of DNA helicases involved in DNA repair. RECQL5 interacts with RNA polymerase II (Pol II) and inhibits transcription of protein-encoding genes by an unknown mechanism. We show that RECQL5 contacts the Rpb1 jaw domain of Pol II at a site that overlaps with the binding site for the transcription elongation factor TFIIS. Our cryo-EM structure of elongating Pol II arrested in complex with RECQL5 shows that the RECQL5 helicase domain is positioned to sterically block elongation. The crystal structure of the RECQL5 KIX domain reveals similarities with TFIIS, and binding of RECQL5 to Pol II interferes with the ability of TFIIS to promote transcriptional read-through in vitro. Together, our findings reveal a dual mode of transcriptional repression by RECQL5 that includes structural mimicry of the Pol II-TFIIS interaction.
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Affiliation(s)
- Susanne A. Kassube
- Biophysics Graduate Group, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Martin Jinek
- Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jie Fang
- Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Susan Tsutakawa
- Life Science Division, Lawrence Berkeley National Lab, Berkeley, CA 94720, USA
| | - Eva Nogales
- Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
- Life Science Division, Lawrence Berkeley National Lab, Berkeley, CA 94720, USA
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17
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Borkotoky S, Meena CK, Khan MW, Murali A. Three dimensional electron microscopy and in silico tools for macromolecular structure determination. EXCLI JOURNAL 2013; 12:335-46. [PMID: 27092033 PMCID: PMC4827587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2013] [Accepted: 04/14/2013] [Indexed: 12/02/2022]
Abstract
Recently, structural biology witnessed a major tool - electron microscopy - in solving the structures of macromolecules in addition to the conventional techniques, X-ray crystallography and nuclear magnetic resonance (NMR). Three dimensional transmission electron microscopy (3DTEM) is one of the most sophisticated techniques for structure determination of molecular machines. Known to give the 3-dimensional structures in its native form with literally no upper limit on size of the macromolecule, this tool does not need the crystallization of the protein. Combining the 3DTEM data with in silico tools, one can have better refined structure of a desired complex. In this review we are discussing about the recent advancements in three dimensional electron microscopy and tools associated with it.
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Affiliation(s)
- Subhomoi Borkotoky
- Centre for Bioinformatics, School of Life Sciences, Pondicherry University, Puducherry-605014, India
| | - Chetan Kumar Meena
- Centre for Bioinformatics, School of Life Sciences, Pondicherry University, Puducherry-605014, India
| | - Mohammad Wahab Khan
- Centre for Bioinformatics, School of Life Sciences, Pondicherry University, Puducherry-605014, India
| | - Ayaluru Murali
- Centre for Bioinformatics, School of Life Sciences, Pondicherry University, Puducherry-605014, India,*To whom correspondence should be addressed: Ayaluru Murali, Centre for Bioinformatics, School of Life Sciences, Pondicherry University, Puducherry-605014, India, E-mail:
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18
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RNA polymerase II acts as an RNA-dependent RNA polymerase to extend and destabilize a non-coding RNA. EMBO J 2013; 32:781-90. [PMID: 23395899 DOI: 10.1038/emboj.2013.18] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2012] [Accepted: 01/03/2013] [Indexed: 11/09/2022] Open
Abstract
RNA polymerase II (Pol II) is a well-characterized DNA-dependent RNA polymerase, which has also been reported to have RNA-dependent RNA polymerase (RdRP) activity. Natural cellular RNA substrates of mammalian Pol II, however, have not been identified and the cellular function of the Pol II RdRP activity is unknown. We found that Pol II can use a non-coding RNA, B2 RNA, as both a substrate and a template for its RdRP activity. Pol II extends B2 RNA by 18 nt on its 3'-end in an internally templated reaction. The RNA product resulting from extension of B2 RNA by the Pol II RdRP can be removed from Pol II by a factor present in nuclear extracts. Treatment of cells with α-amanitin or actinomycin D revealed that extension of B2 RNA by Pol II destabilizes the RNA. Our studies provide compelling evidence that mammalian Pol II acts as an RdRP to control the stability of a cellular RNA by extending its 3'-end.
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19
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Ponicsan SL, Houel S, Old WM, Ahn NG, Goodrich JA, Kugel JF. The non-coding B2 RNA binds to the DNA cleft and active-site region of RNA polymerase II. J Mol Biol 2013; 425:3625-38. [PMID: 23416138 DOI: 10.1016/j.jmb.2013.01.035] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2012] [Revised: 12/17/2012] [Accepted: 01/29/2013] [Indexed: 12/11/2022]
Abstract
The B2 family of short interspersed elements is transcribed into non-coding RNA by RNA polymerase III. The ~180-nt B2 RNA has been shown to potently repress mRNA transcription by binding tightly to RNA polymerase II (Pol II) and assembling with it into complexes on promoter DNA, where it keeps the polymerase from properly engaging the promoter DNA. Mammalian Pol II is an ~500-kDa complex that contains 12 different protein subunits, providing many possible surfaces for interaction with B2 RNA. We found that the carboxy-terminal domain of the largest Pol II subunit was not required for B2 RNA to bind Pol II and repress transcription in vitro. To identify the surface on Pol II to which the minimal functional region of B2 RNA binds, we coupled multi-step affinity purification, reversible formaldehyde cross-linking, peptide sequencing by mass spectrometry, and analysis of peptide enrichment. The Pol II peptides most highly recovered after cross-linking to B2 RNA mapped to the DNA binding cleft and active-site region of Pol II. These studies determine the location of a defined nucleic acid binding site on a large, native, multi-subunit complex and provide insight into the mechanism of transcriptional repression by B2 RNA.
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Affiliation(s)
- Steven L Ponicsan
- Department of Chemistry and Biochemistry, University of Colorado, 596 UCB, Boulder, CO 80309-0596, USA
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