1
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Moriggi E, Pisteljic M, Rosi-Andersen A, Opitz L, Azzi A, Brown SA. The NONO protein regulates nonclassical DNA structure: Effects on circadian genes and DNA damage. iScience 2025; 28:112408. [PMID: 40352720 PMCID: PMC12063141 DOI: 10.1016/j.isci.2025.112408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 11/17/2024] [Accepted: 04/08/2025] [Indexed: 05/14/2025] Open
Abstract
The DBHS protein family of Nono, PSPC1, and SFPQ regulates diverse aspects of RNA metabolism. Whether these proteins share similar functions is currently unknown. In mouse embryonic fibroblasts (MEFs), we observed around 2000 circadian and non-circadian genes regulated by Nono and PSPC1, with only 35% in common. Considering specifically circadian genes, up- or downregulation by Nono and PSPC1 depends mainly on the gene phase. We postulated a regulatory role of Nono on R-loops, the class of non-B DNA structures that form during transcription. We confirmed this by showing a broad effect of Nono on genome-wide R-loop homeostasis. Interestingly, the R-loop regulation by Nono occurs in a time-of-day dependent manner among the circadian genes. Moreover, we showed a protective role of Nono in a DNA damage cellular model that involves R-loop accumulation. Further studies are required to understand the circadian regulation of R-loops and their implications on gene regulation and disease.
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Affiliation(s)
- Ermanno Moriggi
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Melissa Pisteljic
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Alex Rosi-Andersen
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Experimental Psychopathology and Psychotherapy, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Lennart Opitz
- Functional Genomic Center Zurich, ETH and University of Zurich, Zurich, Switzerland
| | - Abdelhalim Azzi
- Laboratory of Lipids and Chronobiology, IMol, Polish Academy of Sciences, Warsaw, Poland
| | - Steven A. Brown
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
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2
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Marinov GK, Greenleaf WJ. Mapping the Simultaneously Accessible and ssDNA-Containing Genome With KAS-ATAC Sequencing. Bio Protoc 2025; 15:e5306. [PMID: 40364983 PMCID: PMC12067302 DOI: 10.21769/bioprotoc.5306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2025] [Revised: 04/09/2025] [Accepted: 04/11/2025] [Indexed: 05/15/2025] Open
Abstract
The KAS-ATAC assay provides a method to capture genomic DNA fragments that are simultaneously physically accessible and contain single-stranded DNA (ssDNA) bubbles. These are characteristic features of two of the key processes involved in regulating and expressing genes-on one hand, the activity of cis-regulatory elements (cREs), which are typically devoid of nucleosomes when active and occupied by transcription factors, and on the other, the association of RNA polymerases with DNA, which results in the presence of ssDNA structures. Here, we present a detailed protocol for carrying out KAS-ATAC as well as basic processing of KAS-ATAC datasets and discuss the key considerations for its successful application. Key features • Allows mapping of simultaneously accessible and ssDNA-containing DNA fragments. • Describes the execution of N3-kethoxal labeling and transposition of native chromatin. • Describes the pulldown of biotin-labeled DNA fragments and library generation. • Describes basic KAS-ATAC data processing steps.
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Affiliation(s)
- Georgi K. Marinov
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - William J. Greenleaf
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Stanford University, Arc Institute, Stanford, CA, USA
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3
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Sigauke RF, Sanford L, Maas ZL, Jones T, Stanley JT, Townsend HA, Allen MA, Dowell RD. Atlas of nascent RNA transcripts reveals tissue-specific enhancer to gene linkages. BMC Genomics 2025; 26:406. [PMID: 40281430 PMCID: PMC12032694 DOI: 10.1186/s12864-025-11568-z] [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: 12/23/2024] [Accepted: 04/03/2025] [Indexed: 04/29/2025] Open
Abstract
Gene transcription is controlled and modulated by regulatory regions, including enhancers and promoters. These regions are abundant in non-coding bidirectional transcription that results in generally unstable RNA. Using nascent RNA transcription data across hundreds of human samples, we identified over 800,000 regions containing bidirectional transcription. We then identify tissue specific, highly correlated transcription between bidirectional and gene regions. The identified correlated pairs, a bidirectional region and a gene, are enriched for disease associated SNPs and often supported by independent 3D data. We present these resources as a database called DBNascent ( https://nascent.colorado.edu/ ) which serves as a resource for future studies into gene regulation, enhancer associated RNAs, and transcription factors.
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Affiliation(s)
- Rutendo F Sigauke
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, 80309, CO, USA
| | - Lynn Sanford
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, 80309, CO, USA
| | - Zachary L Maas
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, 80309, CO, USA
- Computer Science, University of Colorado Boulder, 1111 Engineering Drive, UCB 430, Boulder, 80309, CO, USA
| | - Taylor Jones
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, 80309, CO, USA
| | - Jacob T Stanley
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, 80309, CO, USA
| | - Hope A Townsend
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, 80309, CO, USA
- Molecular, Cellular and Developmental Biology, University of Colorado Boulder, 1945 Colorado Ave, UCB 347, Boulder, 80309, CO, USA
| | - Mary A Allen
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, 80309, CO, USA
| | - Robin D Dowell
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, 80309, CO, USA.
- Computer Science, University of Colorado Boulder, 1111 Engineering Drive, UCB 430, Boulder, 80309, CO, USA.
- Molecular, Cellular and Developmental Biology, University of Colorado Boulder, 1945 Colorado Ave, UCB 347, Boulder, 80309, CO, USA.
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4
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Yu M, Wang J, Zhang X, Zhang H, Li C, Li J, Lin J, Zheng J, Huang L, Li Y, Sun S. The mechanism of YAP/TAZ transactivation and dual targeting for cancer therapy. Nat Commun 2025; 16:3855. [PMID: 40274828 PMCID: PMC12022045 DOI: 10.1038/s41467-025-59309-w] [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: 06/26/2024] [Accepted: 04/17/2025] [Indexed: 04/26/2025] Open
Abstract
Transcriptional coactivators Yes-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ) play key roles in cancers through transcriptional outputs. However, their transactivation mechanisms remain unclear, and effective targeting strategies are lacking. Here, we show that YAP/TAZ possess a hydrophobic transactivation domain (TAD). TAD knockout prevents tumor establishment due to growth defects and enhances immune attack. Mechanistically, TADs facilitate preinitiation complex (PIC) assembly by recruiting the TATA-binding protein-associated factor 4 (TAF4)-dependent TFIID complex and enhance RNA polymerase II (Pol II) elongation through mediator complex subunit 15 (MED15)-dependent mediator recruitment for the expressions of oncogenic/immune-suppressive programs. The synthesized peptide TJ-M11 selectively disrupts TAD interactions with MED15 and TAF4, suppressing tumor growth and sensitizing tumors to immunotherapy. Our findings demonstrate that YAP/TAZ TADs exhibit dual functions in PIC assembly and Pol II elongation via hydrophobic interactions, which represent actionable targets for cancer therapy and combination immunotherapy.
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Affiliation(s)
- Man Yu
- Department of Human Anatomy, Histology and Embryology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Jingning Wang
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao Zhang
- Department of Human Anatomy, Histology and Embryology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Haoran Zhang
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Chaoqiang Li
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Juebei Li
- Department of Human Anatomy, Histology and Embryology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Jiaming Lin
- Department of Human Anatomy, Histology and Embryology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Zheng
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, China
| | - Liu Huang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Li
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.
- Hubei Key Laboratory of Drug Target Research and Pharmacodynamic Evaluation, Wuhan, China.
| | - Shuguo Sun
- Department of Human Anatomy, Histology and Embryology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China.
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5
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Stanley JT, Barone GEF, Townsend HA, Sigauke RF, Allen MA, Dowell RD. LIET model: capturing the kinetics of RNA polymerase from loading to termination. Nucleic Acids Res 2025; 53:gkaf246. [PMID: 40226915 DOI: 10.1093/nar/gkaf246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Accepted: 04/08/2025] [Indexed: 04/15/2025] Open
Abstract
Transcription by RNA polymerases is an exquisitely regulated step of the central dogma. Transcription is the primary determinant of cell-state, and most cellular perturbations impact transcription by altering polymerase activity. Thus, detecting changes in polymerase activity yields insight into most cellular processes. Nascent run-on sequencing provides a direct readout of polymerase activity, but no tools exist to model all aspects of this activity at genes. We focus on RNA polymerase II-responsible for transcribing protein-coding genes. We present the first model to capture the complete process of gene transcription. For individual genes, this model parameterizes each distinct stage of transcription-loading, initiation, elongation, and termination, hence LIET-in a biologically interpretable Bayesian mixture, which is applied to nascent run-on data. Our improved modeling of loading/initiation demonstrates these stages are characteristically different between sense and antisense strands. Applying LIET to 24 human cell-types, our analysis indicates the position of dissociation (the last step of termination) appears to be highly consistent, indicative of a tightly regulated process. Furthermore, by applying LIET to perturbation experiments, we demonstrate its ability to detect specific changes in pausing (5' end), strand-bias, and dissociation location (3' end)-opening the door to differential assessment of transcription at individual stages of individual genes.
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Affiliation(s)
- Jacob T Stanley
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, United States
| | - Georgia E F Barone
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, United States
- Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO 80309, United States
| | - Hope A Townsend
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, United States
- Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO 80309, United States
| | - Rutendo F Sigauke
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, United States
| | - Mary A Allen
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, United States
| | - Robin D Dowell
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, United States
- Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO 80309, United States
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6
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Xu Q, Chen H. Applications of spatial transcriptomics in studying spermatogenesis. Andrology 2025. [PMID: 40202007 DOI: 10.1111/andr.70043] [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: 08/20/2024] [Revised: 03/20/2025] [Accepted: 03/27/2025] [Indexed: 04/10/2025]
Abstract
Spermatogenesis is a complex differentiation process that is facilitated by a series of cellular and molecular events. High-throughput genomics approaches, such as single-cell RNA sequencing, have begun to enable the systematic characterization of these events. However, the loss of tissue context because of tissue disassociations in the single-cell isolation protocols limits our ability to understand the regulation of spermatogenesis and how defects in spermatogenesis lead to infertility. The recent advancement of spatial transcriptomics technologies enables the studying of the molecular signatures of various cell types and their interactions in the native tissue context. In this review, we discuss how spatial transcriptomics has been leveraged to identify spatially variable genes, characterize cellular neighborhood, delineate cell‒cell communications, and detect molecular changes under pathological conditions in the mammalian testis. We believe that spatial transcriptomics, along with other emerging spatially resolved omics assays, can be utilized to further our understanding of the underlying causes of male infertility, and to facilitate the development of new treatment approaches.
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Affiliation(s)
- Qianlan Xu
- Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Haiqi Chen
- Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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7
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Jones T, Sigauke RF, Sanford L, Taatjes DJ, Allen MA, Dowell RD. TF Profiler: a transcription factor inference method that broadly measures transcription factor activity and identifies mechanistically distinct networks. Genome Biol 2025; 26:92. [PMID: 40205447 PMCID: PMC11983743 DOI: 10.1186/s13059-025-03545-2] [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: 01/08/2024] [Accepted: 03/17/2025] [Indexed: 04/11/2025] Open
Abstract
TF Profiler is a method of inferring transcription factor (TF) regulatory activity, i.e., when a TF is present and actively participating in the regulation of transcription, directly from nascent sequencing assays such as PRO-seq and GRO-seq. While ChIP assays have measured DNA localization, they fall short of identifying when and where the effector domain of a transcription factor is active. Our method uses RNA polymerase activity to infer TF effector domain activity across hundreds of data sets and transcription factors. TF Profiler is broadly applicable, providing regulatory insights on any PRO-seq sample for any transcription factor with a known binding motif.
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Affiliation(s)
- Taylor Jones
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, CO, 80309, USA
- Biochemistry, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, CO, 80309, USA
| | - Rutendo F Sigauke
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, CO, 80309, USA
| | - Lynn Sanford
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, CO, 80309, USA
| | - Dylan J Taatjes
- Biochemistry, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, CO, 80309, USA
| | - Mary A Allen
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, CO, 80309, USA.
| | - Robin D Dowell
- BioFrontiers Institute, University of Colorado Boulder, 3415 Colorado Ave., UCB 596, Boulder, CO, 80309, USA.
- Computer Science, University of Colorado Boulder, 1111 Engineering Drive, UCB 430, Boulder, CO, 80309, USA.
- Molecular, Cellular and Developmental Biology, University of Colorado Boulder, 1945 Colorado Ave, UCB 347, Boulder, CO, 80309, USA.
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8
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Adhikari B, Verchot J, Brandizzi F, Ko DK. ER stress and viral defense: Advances and future perspectives on plant unfolded protein response in pathogenesis. J Biol Chem 2025; 301:108354. [PMID: 40015641 PMCID: PMC11982459 DOI: 10.1016/j.jbc.2025.108354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2024] [Revised: 02/17/2025] [Accepted: 02/19/2025] [Indexed: 03/01/2025] Open
Abstract
Viral infections pose significant threats to crop productivity and agricultural sustainability. The frequency and severity of these infections are increasing, and pathogens are evolving rapidly under the influence of climate change. This underscores the importance of exploring the fundamental mechanisms by which plants defend themselves against dynamic viral threats. One such mechanism is the unfolded protein response (UPR), which is activated when the protein folding demand exceeds the capacity of the endoplasmic reticulum, particularly under adverse environmental conditions. While the key regulators of the UPR in response to viral infections have been identified, our understanding of how they modulate the UPR to suppress plant viral infections at the molecular and genetic levels is still in its infancy. Recent findings have shown that, in response to plant viral infections, the UPR swiftly reprograms transcriptional changes to support cellular, metabolic, and physiological processes associated with cell viability. However, the underlying mechanisms and functional outcomes of these changes remain largely unexplored. Here, we highlight recent advances in plant UPR research and summarize key findings related to viral infection-induced UPR, focusing on the balance between prosurvival and prodeath strategies. We also discuss the potential of systems-level approaches to uncover the full extent of the functional link between the UPR and plant responses to viral infections.
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Affiliation(s)
- Binita Adhikari
- Department of Plant Pathology and Microbiology, Texas A&M University, College Station, Texas, USA
| | - Jeanmarie Verchot
- Department of Plant Pathology and Microbiology, Texas A&M University, College Station, Texas, USA.
| | - Federica Brandizzi
- MSU-DOE Plant Research Lab, Michigan State University, East Lansing, Michigan, USA; Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, Michigan, USA; Department of Plant Biology, Michigan State University, East Lansing, Michigan, USA
| | - Dae Kwan Ko
- MSU-DOE Plant Research Lab, Michigan State University, East Lansing, Michigan, USA; Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, Michigan, USA; Department of Plant Biology, Michigan State University, East Lansing, Michigan, USA.
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9
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Mukherjee R, Guertin MJ. Genome-wide dynamic nascent transcript profiles reveal that most paused RNA polymerases terminate. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.03.27.645809. [PMID: 40196675 PMCID: PMC11974822 DOI: 10.1101/2025.03.27.645809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
We present a simple model for analyzing and interpreting data from kinetic experiments that measure engaged RNA polymerase occupancy. The framework represents the densities of nascent transcripts within the pause region and the gene body as steady-state values determined by four key transcriptional processes: initiation, pause release, premature termination, and elongation. We validate the model's predictions using data from experiments that rapidly inhibit initiation and pause release. The model successfully classified factors based on the steps in early transcription that they regulate, confirming TBP and ZNF143 as initiation factors and HSF and GR as pause release factors. We found that most paused polymerases terminate and paused polymerases are short-lived with half lives less than a minute. We make this model available as software to serve as a quantitative tool for determining the kinetic mechanisms of transcriptional regulation.
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Affiliation(s)
- Rudradeep Mukherjee
- Center for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, CT, United States of America
| | - Michael J Guertin
- Center for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, CT, United States of America
- Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, United States of America
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10
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Hu B, Shi Y, Xiong F, Chen YT, Zhu X, Carrillo E, Wen X, Drolet N, Rajpurohit C, Xu X, Lee DF, Soto C, Zhong S, Jayaraman V, Zheng H, Li W. Rewired m6A methylation of promoter antisense RNAs in Alzheimer's disease regulates global gene transcription in the 3D nucleome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.03.22.644756. [PMID: 40196645 PMCID: PMC11974732 DOI: 10.1101/2025.03.22.644756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
N6-methyladenosine (m6A) is the most prevalent internal RNA modification that can impact mRNA expression post-transcriptionally. Recent progress indicates that m6A also acts on nuclear or chromatin-associated RNAs to impact transcriptional and epigenetic processes. However, the landscapes and functional roles of m6A in human brains and neurodegenerative diseases, including Alzheimer's disease (AD), have been under-explored. Here, we examined RNA m6A methylome using total RNA-seq and meRIP-seq in middle frontal cortex tissues of post-mortem human brains from individuals with AD and age-matched counterparts. Our results revealed AD-associated alteration of m6A methylation on both mRNAs and various noncoding RNAs. Notably, a series of promoter antisense RNAs (paRNAs) displayed cell-type-specific expression and changes in AD, including one produced adjacent to the MAPT locus that encodes the Tau protein. We found that MAPT-paRNA is enriched in neurons, and m6A positively controls its expression. In iPSC-derived human excitatory neurons, MAPT-paRNA promotes expression of hundreds of genes related to neuronal and synaptic functions, including a key AD resilience gene MEF2C, and plays a neuroprotective role against excitotoxicity. By examining RNA-DNA interactome in the three-dimensional (3D) nuclei of human brains, we demonstrated that brain paRNAs can interact with both cis- and trans-chromosomal target genes to impact their transcription. These data together reveal previously unexplored landscapes and functions of noncoding RNAs and m6A methylome in brain gene regulation, neuronal survival and AD pathogenesis.
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Affiliation(s)
- Benxia Hu
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Yuqiang Shi
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Feng Xiong
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Yi-Ting Chen
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center and UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Xiaoyu Zhu
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Elisa Carrillo
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Xingzhao Wen
- Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA, USA
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Nathan Drolet
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Chetan Rajpurohit
- Huffington Center on Aging, Baylor College of Medicine, Houston, Texas, USA
| | - Xiangmin Xu
- Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, CA, USA
- Center for Neural Circuit Mapping (CNCM), University of California, Irvine, CA, USA
| | - Dung-Fang Lee
- The University of Texas MD Anderson Cancer Center and UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Claudio Soto
- The University of Texas MD Anderson Cancer Center and UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Sheng Zhong
- Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA, USA
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Vasanthi Jayaraman
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center and UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Hui Zheng
- Huffington Center on Aging, Baylor College of Medicine, Houston, Texas, USA
| | - Wenbo Li
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center and UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA
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11
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Auxillos J, Stigliani A, Vaagensø C, Garland W, Niazi A, Valen E, Jensen T, Sandelin A. True length of diverse capped RNA sequencing (TLDR-seq): 5'-3'-end sequencing of capped RNAs regardless of 3'-end status. Nucleic Acids Res 2025; 53:gkaf240. [PMID: 40183637 PMCID: PMC11969664 DOI: 10.1093/nar/gkaf240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 02/20/2025] [Accepted: 03/14/2025] [Indexed: 04/05/2025] Open
Abstract
Analysis of transcript function is greatly aided by knowledge of the full-length RNA sequence. New long-read sequencing enabled by Oxford Nanopore and PacBio devices have the potential to provide full-length transcript information; however, standard methods still lack the ability to capture true RNA 5' ends and select for polyadenylated (pA+) transcripts only. Here, we present a method that, by utilizing cap trapping and 3'-end adapter ligation, sequences transcripts between their exact 5' and 3' ends regardless of polyadenylation status and without the need for ribosomal RNA depletion, with the ability to characterize polyadenylation length of RNAs, if any. The method shows high reproducibility, can faithfully detect 5' ends, 3' ends and splice junctions, and produces gene-expression estimates that are highly correlated to those of short-read sequencing techniques. We also demonstrate that the method can detect and sequence full-length nonadenylated (pA-) RNAs, including long noncoding RNAs, promoter upstream transcripts, and enhancer RNAs, and present cases where pA+ and pA- RNAs show preferences for different but closely located transcription start sites. Our method is therefore useful for the characterization of diverse capped RNA species and analysis of relationships between transcription initiation, termination, and RNA processing.
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Affiliation(s)
- Jamie Auxillos
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK2200 Copenhagen, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, DK2200 Copenhagen, Denmark
| | - Arnaud Stigliani
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK2200 Copenhagen, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, DK2200 Copenhagen, Denmark
| | - Christian Skov Vaagensø
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK2200 Copenhagen, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, DK2200 Copenhagen, Denmark
| | - William Garland
- Department of Molecular Biology and Genetics, Aarhus University, DK8000 Aarhus, Denmark
| | - Adnan Muhammed Niazi
- Computational Biology Unit, Department of Informatics, University of Bergen, N-5008 Bergen, Norway
| | - Eivind Valen
- Computational Biology Unit, Department of Informatics, University of Bergen, N-5008 Bergen, Norway
- Department of Biosciences, University of Oslo, N-0371 Oslo, Norway
| | - Torben Heick Jensen
- Department of Molecular Biology and Genetics, Aarhus University, DK8000 Aarhus, Denmark
| | - Albin Sandelin
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK2200 Copenhagen, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, DK2200 Copenhagen, Denmark
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12
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Zavadil F, Henek T, Habault J, Chemali R, Tovar-Fernandez MC, Daskalogianni C, Malbert-Colas L, Wang L, Gnanasundram SV, Vojtesek B, Hernychova L, Apcher S, Fahraeus R. Translation of bi-directional transcripts enhances MHC-I peptide diversity. Front Immunol 2025; 16:1554561. [PMID: 40165968 PMCID: PMC11956742 DOI: 10.3389/fimmu.2025.1554561] [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: 01/02/2025] [Accepted: 02/25/2025] [Indexed: 04/02/2025] Open
Abstract
Antisense transcripts play an important role in generating regulatory non-coding RNAs but whether these transcripts are also translated to generate functional peptides remains poorly understood. In this study, RNA sequencing and six-frame database generation were combined with mass spectrometry analysis of peptides isolated from polysomes to identify Nascent Pioneer Translation Products (Na-PTPs) originating from alternative reading frames of bi-directional transcripts. Two Na-PTP originating peptides derived from antisense strands stimulated CD8+ T cell proliferation when presented to peripheral blood mononuclear cells (PBMCs) from nine healthy donors. Importantly, an antigenic peptide derived from the reverse strand of two cDNA constructs was presented on MHC-I molecules and induced CD8+ T cell activation. The results demonstrate that three-frame translation of bi-directional transcripts generates antigenic peptide substrates for the immune system. This discovery holds significance for understanding the origin of self-discriminating peptide substrates for the major histocompatibility class I (MHC-I) pathway and for enhancing immune-based therapies against infected or transformed cells.
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Affiliation(s)
- Filip Zavadil
- RECAMO, Masaryk Memorial Cancer Institute, Brno, Czechia
| | - Tomas Henek
- RECAMO, Masaryk Memorial Cancer Institute, Brno, Czechia
| | - Justine Habault
- Inserm UMRS1131, Institut de Génétique Moléculaire, Université Paris Cité, Hôpital St. Louis, Paris, France
| | - René Chemali
- UMR 1015 Immunologie des tumeurs et immunothérapie contre le cancer, B2M, Gustave Roussy, Université Paris Sud, Villejuif, France
| | | | - Chrysoula Daskalogianni
- Inserm UMRS1131, Institut de Génétique Moléculaire, Université Paris Cité, Hôpital St. Louis, Paris, France
| | - Laurence Malbert-Colas
- Inserm UMRS1131, Institut de Génétique Moléculaire, Université Paris Cité, Hôpital St. Louis, Paris, France
| | - Lixiao Wang
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | - Borek Vojtesek
- RECAMO, Masaryk Memorial Cancer Institute, Brno, Czechia
- Laboratory of Growth Regulators, Institute of Experimental Botany, The Czech Academy of Sciences, Olomouc, Czechia
| | | | - Sebastien Apcher
- UMR 1015 Immunologie des tumeurs et immunothérapie contre le cancer, B2M, Gustave Roussy, Université Paris Sud, Villejuif, France
| | - Robin Fahraeus
- RECAMO, Masaryk Memorial Cancer Institute, Brno, Czechia
- Inserm UMRS1131, Institut de Génétique Moléculaire, Université Paris Cité, Hôpital St. Louis, Paris, France
- UMR 1015 Immunologie des tumeurs et immunothérapie contre le cancer, B2M, Gustave Roussy, Université Paris Sud, Villejuif, France
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
- Laboratory of Growth Regulators, Institute of Experimental Botany, The Czech Academy of Sciences, Olomouc, Czechia
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13
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Ullrich S, Nadelson I, Krebs S, Blum H, Leonhardt H, Solovei I. Co-transcriptional splicing is delayed in the highly expressed thyroglobulin gene. J Cell Sci 2025; 138:jcs263872. [PMID: 40105117 PMCID: PMC11959613 DOI: 10.1242/jcs.263872] [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: 01/22/2025] [Accepted: 02/11/2025] [Indexed: 03/20/2025] Open
Abstract
Transcription of the majority of eukaryotic genes is accompanied by splicing. The timing of splicing varies significantly between introns, transcripts, genes and species. Although quick co-transcriptional intron removal has been demonstrated for many mammalian genes, most splicing events do not occur immediately after intron synthesis. In this study, we utilized the highly expressed Tg gene, which forms exceptionally long transcription loops, providing a convenient model for studying splicing dynamics using advanced light microscopy. Using single-cell oligopainting, we observed a splicing delay occurring several tens of kilobases downstream of a transcribed intron, a finding supported by standard cell population analyses. We speculate that this phenomenon is due to the abnormally high transcriptional rate of the Tg gene, which might lead to a localized deficiency in splicing factors and, consequently, delayed spliceosome assembly on thousands of nascent transcripts decorating the gene. Additionally, we found that, in contrast to what is seen for short introns (<10 kb), the long Tg intron (>50 kb) is spliced promptly, providing further support for the idea that intron length might modulate splicing speed.
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Affiliation(s)
- Simon Ullrich
- Faculty of Biology, Ludwig Maximilians University Munich, 82152 Planegg-Martinsried, Germany
| | - Iliya Nadelson
- Faculty of Biology, Ludwig Maximilians University Munich, 82152 Planegg-Martinsried, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig Maximilians University Munich, 81377 Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig Maximilians University Munich, 81377 Munich, Germany
| | - Heinrich Leonhardt
- Faculty of Biology, Ludwig Maximilians University Munich, 82152 Planegg-Martinsried, Germany
| | - Irina Solovei
- Faculty of Biology, Ludwig Maximilians University Munich, 82152 Planegg-Martinsried, Germany
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14
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Schwarzmueller LJ, Adam RS, Moreno LF, Nijman LE, Logiantara A, Eleonora S, Bril O, Vromans S, de Groot NE, Giugliano FP, Stepanova E, Muncan V, Elbers CC, Lenos KJ, Zwijnenburg DA, van Eijndhoven MAJ, Pegtel DM, van Neerven SM, Loayza-Puch F, Dadali T, Broom WJ, Maier MA, Koster J, Vermeulen L, Léveillé N. Identifying colorectal cancer-specific vulnerabilities in the Wnt-driven long non-coding transcriptome. Gut 2025; 74:571-585. [PMID: 39562049 PMCID: PMC12013597 DOI: 10.1136/gutjnl-2024-332752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 10/31/2024] [Indexed: 11/21/2024]
Abstract
BACKGROUND Aberrant Wnt pathway activation is a key driver of colorectal cancer (CRC) and is essential to sustain tumour growth and progression. Although the downstream protein-coding target genes of the Wnt cascade are well known, the long non-coding transcriptome has not yet been fully resolved. OBJECTIVE In this study, we aim to comprehensively reveal the Wnt-regulated long non-coding transcriptome and exploit essential molecules as novel therapeutic targets. DESIGN We used global run-on sequencing to define β-catenin-regulated long non-coding RNAs (lncRNAs) in CRC. CRISPRi dropout screens were subsequently used to establish the functional relevance of a subset of these lncRNAs for long-term expansion of CRC. RESULTS We uncovered that LINC02418 is essential for cancer cell clonogenic outgrowth. Mechanistically, LINC02418 regulates MYC expression levels to promote CRC stem cell functionality and prevent terminal differentiation. Furthermore, we developed effective small interfering RNA (siRNA)-based therapeutics to target LINC02418 RNA in vivo. CONCLUSION We propose that cancer-specific Wnt-regulated lncRNAs provide novel therapeutic opportunities to interfere with the Wnt pathway, which has so far defied effective pharmacological inhibition.
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Affiliation(s)
- Laura J Schwarzmueller
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Ronja S Adam
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Leandro F Moreno
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Lisanne E Nijman
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Adrian Logiantara
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Steven Eleonora
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Oscar Bril
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Sophie Vromans
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Nina E de Groot
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Francesca Paola Giugliano
- Department of Gastroenterology and Hepatology, Tytgat Institute for Liver and Intestinal Research, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Ekaterina Stepanova
- Translational Control and Metabolism, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Vanesa Muncan
- Department of Gastroenterology and Hepatology, Tytgat Institute for Liver and Intestinal Research, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Clara C Elbers
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Kristiaan J Lenos
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Danny A Zwijnenburg
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | | | - Dirk Michiel Pegtel
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sanne M van Neerven
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Fabricio Loayza-Puch
- Translational Control and Metabolism, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tulin Dadali
- Alnylam Pharmaceuticals Inc, Cambridge, Massachusetts, USA
| | - Wendy J Broom
- Alnylam Pharmaceuticals Inc, Cambridge, Massachusetts, USA
| | - Martin A Maier
- Alnylam Pharmaceuticals Inc, Cambridge, Massachusetts, USA
| | - Jan Koster
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Louis Vermeulen
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Nicolas Léveillé
- Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
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15
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Huang Y, Zhu S, Yao S, Zhai H, Liu C, Han JDJ. Unraveling aging from transcriptomics. Trends Genet 2025; 41:218-235. [PMID: 39424502 DOI: 10.1016/j.tig.2024.09.006] [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: 07/31/2024] [Revised: 09/19/2024] [Accepted: 09/19/2024] [Indexed: 10/21/2024]
Abstract
Research into aging constitutes a pivotal endeavor aimed at elucidating the underlying biological mechanisms governing aging and age-associated diseases, as well as promoting healthy longevity. Recent advances in transcriptomic technologies, such as bulk RNA sequencing (RNA-seq), single-cell transcriptomics, and spatial transcriptomics, have revolutionized our ability to study aging at unprecedented resolution and scale. These technologies present novel opportunities for the discovery of biomarkers, elucidation of molecular pathways, and development of targeted therapeutic strategies for age-related disorders. This review surveys recent breakthroughs in different types of transcripts on aging, such as mRNA, long noncoding (lnc)RNA, tRNA, and miRNA, highlighting key findings and discussing their potential implications for future studies in this field.
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Affiliation(s)
- Yuanfang Huang
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology (CQB), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shouxuan Zhu
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology (CQB), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shuai Yao
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology (CQB), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Haotian Zhai
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology (CQB), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Chenyang Liu
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology (CQB), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology (CQB), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies, Chengdu, China.
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16
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Agrawal S, Kanamaru E, Saito Y, Ishikawa F, de Hoon M. Cell type-dependent directional transcription at enhancers. NAR Genom Bioinform 2025; 7:lqaf007. [PMID: 40060372 PMCID: PMC11886823 DOI: 10.1093/nargab/lqaf007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 12/02/2024] [Accepted: 02/05/2025] [Indexed: 04/16/2025] Open
Abstract
Enhancers are noncoding regulatory regions in the genome that play essential roles in modulating gene expression. Previous work showed that enhancers are not transcriptionally silent but are characterized by bidirectional expression of short capped noncoding RNAs. Balanced bidirectional expression has therefore been used as a key feature for the detection of enhancers from transcriptome data. Instead, by analyzing FANTOM5 and other deep cap analysis gene expression transcriptome datasets, we find enhancer transcription preferentially in one direction in individual cell types. As the preferred direction of transcription of an enhancer can switch between cell types, balanced bidirectional enhancer expression may appear if transcriptome data are aggregated over cell types. 5' single-cell RNA sequencing data showed that enhancers were almost exclusively expressed unidirectionally in a single cell. Reporter assay data demonstrated that the regulatory function of an enhancer does not depend on its preference for unidirectional or bidirectional expression. We conclude that requiring balanced bidirectional transcription for enhancer detection may discard most valid enhancers when applied to transcriptome data of a single cell type.
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Affiliation(s)
- Saumya Agrawal
- RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Emi Kanamaru
- RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Yoriko Saito
- RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Fumihiko Ishikawa
- RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Michiel de Hoon
- RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
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17
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Murach KA, Bagley JR. A primer on global molecular responses to exercise in skeletal muscle: Omics in focus. JOURNAL OF SPORT AND HEALTH SCIENCE 2025:101029. [PMID: 39961420 DOI: 10.1016/j.jshs.2025.101029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2024] [Revised: 11/19/2024] [Accepted: 12/19/2024] [Indexed: 02/20/2025]
Abstract
Advances in skeletal muscle omics has expanded our understanding of exercise-induced adaptations at the molecular level. Over the past 2 decades, transcriptome studies in muscle have detailed acute and chronic responses to resistance, endurance, and concurrent exercise, focusing on variables such as training status, nutrition, age, sex, and metabolic health profile. Multi-omics approaches, such as the integration of transcriptomic and epigenetic data, along with emerging ribosomal RNA sequencing advancements, have further provided insights into how skeletal muscle adapts to exercise across the lifespan. Downstream of the transcriptome, proteomic and phosphoproteomic studies have identified novel regulators of exercise adaptations, while single-cell/nucleus and spatial sequencing technologies promise to evolve our understanding of cellular specialization and communication in and around skeletal muscle cells. This narrative review highlights (a) the historical foundations of exercise omics in skeletal muscle, (b) current research at 3 layers of the omics cascade (DNA, RNA, and protein), and (c) applications of single-cell omics and spatial sequencing technologies to study skeletal muscle adaptation to exercise. Further elaboration of muscle's global molecular footprint using multi-omics methods will help researchers and practitioners develop more effective and targeted approaches to improve skeletal muscle health as well as athletic performance.
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Affiliation(s)
- Kevin A Murach
- Molecular Muscle Mass Regulation Laboratory, Exercise Science Research Center, Department of Health, Human Performance, and Recreation, University of Arkansas, Fayetteville, AR 72701, USA.
| | - James R Bagley
- Muscle Physiology Laboratory, Department of Kinesiology, College of Health and Social Sciences, San Francisco State University, San Francisco, CA 94132, USA.
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18
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Murphy AE, Askarova A, Lenhard B, Skene NG, Marzi S. Predicting gene expression from histone marks using chromatin deep learning models depends on histone mark function, regulatory distance and cellular states. Nucleic Acids Res 2025; 53:gkae1212. [PMID: 39660643 PMCID: PMC11879020 DOI: 10.1093/nar/gkae1212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 10/12/2024] [Accepted: 12/09/2024] [Indexed: 12/12/2024] Open
Abstract
To understand the complex relationship between histone mark activity and gene expression, recent advances have used in silico predictions based on large-scale machine learning models. However, these approaches have omitted key contributing factors like cell state, histone mark function or distal effects, which impact the relationship, limiting their findings. Moreover, downstream use of these models for new biological insight is lacking. Here, we present the most comprehensive study of this relationship to date - investigating seven histone marks in eleven cell types across a diverse range of cell states. We used convolutional and attention-based models to predict transcription from histone mark activity at promoters and distal regulatory elements. Our work shows that histone mark function, genomic distance and cellular states collectively influence a histone mark's relationship with transcription. We found that no individual histone mark is consistently the strongest predictor of gene expression across all genomic and cellular contexts. This highlights the need to consider all three factors when determining the effect of histone mark activity on transcriptional state. Furthermore, we conducted in silico histone mark perturbation assays, uncovering functional and disease related loci and highlighting frameworks for the use of chromatin deep learning models to uncover new biological insight.
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Affiliation(s)
- Alan E Murphy
- UK Dementia Research Institute at Imperial College London, 86 Wood Lane, London W12 0BZ, UK
- Department of Brain Sciences, Imperial College London, 86 Wood Lane, London W12 0BZ, UK
| | - Aydan Askarova
- UK Dementia Research Institute at Imperial College London, 86 Wood Lane, London W12 0BZ, UK
- Department of Brain Sciences, Imperial College London, 86 Wood Lane, London W12 0BZ, UK
| | - Boris Lenhard
- MRC London Institute of Medical Sciences, Imperial College London, Du Cane Road, London W12 0HS, UK
| | - Nathan G Skene
- UK Dementia Research Institute at Imperial College London, 86 Wood Lane, London W12 0BZ, UK
- Department of Brain Sciences, Imperial College London, 86 Wood Lane, London W12 0BZ, UK
| | - Sarah J Marzi
- Department of Brain Sciences, Imperial College London, 86 Wood Lane, London W12 0BZ, UK
- UK Dementia Research Institute at King’s College London, 338 Euston Road, London SE5 9RT, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 9RT, UK
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19
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Kim SH, Marinov GK, Greenleaf WJ. KAS-ATAC reveals the genome-wide single-stranded accessible chromatin landscape of the human genome. Genome Res 2025; 35:124-134. [PMID: 39572230 PMCID: PMC11789636 DOI: 10.1101/gr.279621.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 11/19/2024] [Indexed: 01/24/2025]
Abstract
Gene regulation in most eukaryotes involves two fundamental processes: alterations in genome packaging by nucleosomes, with active cis-regulatory elements (CREs) generally characterized by open-chromatin configuration, and transcriptional activation. Mapping these physical properties and biochemical activities, through profiling chromatin accessibility and active transcription, is a key tool for understanding the logic and mechanisms of transcription and its regulation. However, the relationship between these two states has not been accessible to simultaneous measurement. To this end, we developed KAS-ATAC, a combination of the kethoxal-assisted ssDNA sequencing (KAS-seq) and assay for transposase-accessible chromatin using sequencing (ATAC-seq) methods for mapping single-stranded DNA (and thus active transcription) and chromatin accessibility, respectively, enabling the genome-wide identification of DNA fragments that are simultaneously accessible and contain ssDNA. We use KAS-ATAC to evaluate levels of active transcription over different CRE classes, to estimate absolute levels of transcribed accessible DNA over CREs, to map nucleosomal configurations associated with RNA polymerase activities, and to assess transcription factor association with transcribed DNA through transcription factor binding site (TFBS) footprinting. We observe lower levels of transcription over distal enhancers compared with promoters and distinct nucleosomal configurations around transcription initiation sites associated with active transcription. We find that most TFs associate equally with transcribed and nontranscribed DNA, but a few factors specifically do not exhibit footprints over ssDNA-containing fragments. We anticipate KAS-ATAC to continue to derive useful insights into chromatin organization and transcriptional regulation in other contexts in the future.
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Affiliation(s)
- Samuel H Kim
- Cancer Biology Programs, School of Medicine, Stanford University, Stanford, California 94305, USA
| | - Georgi K Marinov
- Department of Genetics, School of Medicine, Stanford University, Stanford, California 94305, USA;
| | - William J Greenleaf
- Department of Genetics, School of Medicine, Stanford University, Stanford, California 94305, USA
- Department of Applied Physics, Stanford University, Stanford, California 94305, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, California 94305, USA
- Chan Zuckerberg Biohub, San Francisco, California 94158, USA
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20
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Wagh K, Stavreva DA, Hager GL. Transcription dynamics and genome organization in the mammalian nucleus: Recent advances. Mol Cell 2025; 85:208-224. [PMID: 39413793 PMCID: PMC11741928 DOI: 10.1016/j.molcel.2024.09.022] [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: 05/17/2024] [Revised: 07/31/2024] [Accepted: 09/19/2024] [Indexed: 10/18/2024]
Abstract
Single-molecule tracking (SMT) has emerged as the dominant technology to investigate the dynamics of chromatin-transcription factor (TF) interactions. How long a TF needs to bind to a regulatory site to elicit a transcriptional response is a fundamentally important question. However, highly divergent estimates of TF binding have been presented in the literature, stemming from differences in photobleaching correction and data analysis. TF movement is often interpreted as specific or non-specific association with chromatin, yet the dynamic nature of the chromatin polymer is often overlooked. In this perspective, we highlight how recent SMT studies have reshaped our understanding of TF dynamics, chromatin mobility, and genome organization in the mammalian nucleus, focusing on the technical details and biological implications of these approaches. In a remarkable convergence of fixed and live-cell imaging, we show how super-resolution and SMT studies of chromatin have dovetailed to provide a convincing nanoscale view of genome organization.
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Affiliation(s)
- Kaustubh Wagh
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Diana A Stavreva
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Gordon L Hager
- Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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21
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Kopczyńska M, Saha U, Romanenko A, Nojima T, Gdula M, Kamieniarz-Gdula K. Defining gene ends: RNA polymerase II CTD threonine 4 phosphorylation marks transcription termination regions genome-wide. Nucleic Acids Res 2025; 53:gkae1240. [PMID: 39718990 PMCID: PMC11754735 DOI: 10.1093/nar/gkae1240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 11/06/2024] [Accepted: 12/03/2024] [Indexed: 12/26/2024] Open
Abstract
Defining the beginning of a eukaryotic protein-coding gene is relatively simple. It corresponds to the first ribonucleotide incorporated by RNA polymerase II (Pol II) into the nascent RNA molecule. This nucleotide is protected by capping and maintained in the mature messenger RNA (mRNA). However, in higher eukaryotes, the end of mRNA is separated from the sites of transcription termination by hundreds to thousands of base pairs. Currently used genomic annotations only take account of the end of the mature transcript - the sites where pre-mRNA cleavage occurs, while the regions in which transcription terminates are unannotated. Here, we describe the evidence for a marker of transcription termination, which could be widely applicable in genomic studies. Pol II termination regions can be determined genome-wide by detecting Pol II phosphorylated on threonine 4 of its C-terminal domain (Pol II CTD-T4ph). Pol II in this state pauses before leaving the DNA template. Up to date this potent mark has been underused because the evidence for its place and role in termination is scattered across multiple publications. We summarize the observations regarding Pol II CTD-T4ph in termination regions and present bioinformatic analyses that further support Pol II CTD-T4ph as a global termination mark in animals.
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Affiliation(s)
- Magda Kopczyńska
- Center for Advanced Technologies, Adam Mickiewicz University, Uniwersytetu Poznanskiego 10, 61-614 Poznan, Poland
- Department of Molecular and Cellular Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614 Poznan, Poland
| | - Upasana Saha
- Center for Advanced Technologies, Adam Mickiewicz University, Uniwersytetu Poznanskiego 10, 61-614 Poznan, Poland
- Department of Molecular and Cellular Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614 Poznan, Poland
| | - Anastasiia Romanenko
- Center for Advanced Technologies, Adam Mickiewicz University, Uniwersytetu Poznanskiego 10, 61-614 Poznan, Poland
| | - Takayuki Nojima
- Medical institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Michał R Gdula
- Center for Advanced Technologies, Adam Mickiewicz University, Uniwersytetu Poznanskiego 10, 61-614 Poznan, Poland
- Department of Gene Expression, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614 Poznan, Poland
| | - Kinga Kamieniarz-Gdula
- Center for Advanced Technologies, Adam Mickiewicz University, Uniwersytetu Poznanskiego 10, 61-614 Poznan, Poland
- Department of Molecular and Cellular Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614 Poznan, Poland
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22
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Dong J, Sathyan K, Scott T, Mukherjee R, Guertin M. ZNF143 binds DNA and stimulates transcription initiation to activate and repress direct target genes. Nucleic Acids Res 2025; 53:gkae1182. [PMID: 39676670 PMCID: PMC11754675 DOI: 10.1093/nar/gkae1182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 09/30/2024] [Accepted: 11/20/2024] [Indexed: 12/17/2024] Open
Abstract
Transcription factors bind to sequence motifs and act as activators or repressors. Transcription factors interface with a constellation of accessory cofactors to regulate distinct mechanistic steps to regulate transcription. We rapidly degraded the essential and pervasively expressed transcription factor ZNF143 to determine its function in the transcription cycle. ZNF143 facilitates RNA polymerase initiation and activates gene expression. ZNF143 binds the promoter of nearly all its activated target genes. ZNF143 also binds near the site of genic transcription initiation to directly repress a subset of genes. Although ZNF143 stimulates initiation at ZNF143-repressed genes (i.e. those that increase transcription upon ZNF143 depletion), the molecular context of binding leads to cis repression. ZNF143 competes with other more efficient activators for promoter access, physically occludes transcription initiation sites and promoter-proximal sequence elements, and acts as a molecular roadblock to RNA polymerases during early elongation. The term context specific is often invoked to describe transcription factors that have both activation and repression functions. We define the context and molecular mechanisms of ZNF143-mediated cis activation and repression.
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Affiliation(s)
- Jinhong Dong
- Center for Cell Analysis and Modeling, University of Connecticut, 400 Farmington Ave, Farmington, Connecticut 06030, USA
| | - Kizhakke Mattada Sathyan
- Center for Cell Analysis and Modeling, University of Connecticut, 400 Farmington Ave, Farmington, Connecticut 06030, USA
| | - Thomas G Scott
- Department of Biochemistry and Molecular Genetics, University of Virginia, 1340 Jefferson Park Ave, Charlottesville, Virginia 22903, USA
| | - Rudradeep Mukherjee
- Center for Cell Analysis and Modeling, University of Connecticut, 400 Farmington Ave, Farmington, Connecticut 06030, USA
| | - Michael J Guertin
- Center for Cell Analysis and Modeling, University of Connecticut, 400 Farmington Ave, Farmington, Connecticut 06030, USA
- Department of Genetics and Genome Sciences, University of Connecticut, 400 Farmington Ave, Farmington, Connecticut 06030, USA
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23
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Mimoso CA, Vlaming H, de Wagenaar NP, Adelman K. Restrictor slows early transcription elongation to render RNA polymerase II susceptible to termination at non-coding RNA loci. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.01.08.631787. [PMID: 39829856 PMCID: PMC11741429 DOI: 10.1101/2025.01.08.631787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
The eukaryotic genome is broadly transcribed by RNA polymerase II (RNAPII) to produce protein-coding messenger RNAs (mRNAs) and a repertoire of non-coding RNAs (ncRNAs). Whereas RNAPII is very processive during mRNA transcription, it terminates rapidly during synthesis of many ncRNAs, particularly those that arise opportunistically from accessible chromatin at gene promoters or enhancers. The divergent fates of mRNA versus ncRNA species raise many questions about how RNAPII and associated machineries discriminate functional from spurious transcription. The Restrictor complex, comprised of the RNA binding protein ZC3H4 and RNAPII-interacting protein WDR82, has been implicated in restraining the expression of ncRNAs. However, the determinants of Restrictor targeting and the mechanism of transcription suppression remain unclear. Here, we investigate Restrictor using unbiased sequence screens, and rapid protein degradation followed by nascent RNA sequencing. We find that Restrictor promiscuously suppresses early elongation by RNAPII, but this activity is blocked at most mRNAs by the presence of a 5' splice site. Consequently, Restrictor is a critical determinant of transcription directionality at divergent promoters and prevents transcriptional interference. Finally, our data indicate that rather than directly terminating RNAPII, Restrictor acts by reducing the rate of transcription elongation, rendering RNAPII susceptible to early termination by other machineries.
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Affiliation(s)
- Claudia A. Mimoso
- Co-first authors
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT USA
| | - Hanneke Vlaming
- Co-first authors
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
- Division of Genome Biology & Epigenetics, Institute of Biodynamics and Biocomplexity, Utrecht University, Utrecht, The Netherlands
| | - Nathalie P. de Wagenaar
- Division of Genome Biology & Epigenetics, Institute of Biodynamics and Biocomplexity, Utrecht University, Utrecht, The Netherlands
| | - Karen Adelman
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
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24
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Grünebast J, Lorenzen S, Clos J. Genome-wide quantification of polycistronic transcription in Leishmania major. mBio 2025; 16:e0224124. [PMID: 39584812 PMCID: PMC11708010 DOI: 10.1128/mbio.02241-24] [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: 07/25/2024] [Accepted: 10/31/2024] [Indexed: 11/26/2024] Open
Abstract
Leishmania major is a human-pathogenic, obligate parasite and the etiological agent of the most prevalent, cutaneous form of leishmaniasis, which is an important neglected, tropical disease with ~1.2 million new infections per year. Leishmania, and the whole order Trypanosomatida, are early eukaryotes with highly diverged gene expression and regulation pathways, setting them apart from their mammalian hosts and from most other eukaryotes. Using precision run-on sequence analysis, we performed a genome-wide mapping and density analysis of RNA polymerases in isolated nuclei of the protozoan parasite Leishmania major. We map transcription initiation sites at divergent strand switch regions and head-tail regions within the chromosomes and correlate them with known sites of chromatin modifications. We confirm continuous, polycistronic RNA synthesis in all RNA polymerase II-dependent gene arrays but find small varying RNA polymerase activities in polycistronic transcription units (PTUs), excluding gene-specific transcription regulation, but not PTU-specific variations. Lastly, we find evidence for transcriptional pausing of all three RNA polymerase classes, hinting at a possible mechanism of transcriptional regulation.IMPORTANCELeishmania spp. are pathogens of humans and animals and cause one of the most important neglected tropical diseases. Regulation of gene expression in Leishmania but also in the related Trypanosoma is radically different from all eukaryotic model organisms, dispensing with regulated, gene-specific transcription, and relying instead on highly regulated translation. Our work sheds light on the initiation, elongation, and termination of transcription, maps unidirectional, polycistronic transcription units, provides evidence for transcriptional pausing at or near starting points of RNA synthesis, and quantifies the varying transcription rates of the polycistronic transcription units. Our results will further the understanding of these important pathogens and should provide a valuable resource for researchers in the field of eukaryotic microbiology.
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Affiliation(s)
- Janne Grünebast
- Leishmania Genetics Group, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Stephan Lorenzen
- Department of Infection Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Joachim Clos
- Leishmania Genetics Group, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
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25
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Vázquez-Bolado A, Wu PYJ. Mapping Active RNA Polymerases in Proliferating and Quiescent Fission Yeast Cells Using Precision Run-On Sequencing. Methods Mol Biol 2025; 2862:121-139. [PMID: 39527197 DOI: 10.1007/978-1-0716-4168-2_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
The development of next-generation sequencing (NGS) approaches to investigate the functioning of RNA polymerases has led to groundbreaking advances in the field of transcriptional regulation. One powerful method, Precision nuclear Run-On sequencing (PRO-seq), maps the locations of RNA polymerase active sites genome-wide at high resolution. PRO-seq provides a snapshot of strand-specific transcriptional activity and does not rely on immunoprecipitation of the polymerase of interest. Notably, this technique has been utilized to investigate the control of the RNA polymerase II transcription cycle in a variety of model systems. However, the initially published PRO-seq method required significant amounts of starting sample and was technically challenging, both of which were deterrents for its broader use. Recently, an improved and simplified version called qPRO-seq that reduced the length of the experiment and the quantity of necessary input sample was developed for human and Drosophila cell lines. Here we provide an updated, step-by-step protocol in which we have validated and optimized qPRO-seq for the fission yeast Schizosaccharomyces pombe. Importantly, we have implemented this method for assessing RNA polymerase activity in nutrient-limiting conditions, for both proliferating and nitrogen-depleted quiescent cells.
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Affiliation(s)
- Alicia Vázquez-Bolado
- Institute of Biochemistry and Cellular Genetics, CNRS UMR 5095 and University of Bordeaux, Bordeaux, France
| | - Pei-Yun Jenny Wu
- Institute of Biochemistry and Cellular Genetics, CNRS UMR 5095 and University of Bordeaux, Bordeaux, France.
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26
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Mooney RA, Zhu J, Saba J, Landick R. NusG-Spt5 Transcription Factors: Universal, Dynamic Modulators of Gene Expression. J Mol Biol 2025; 437:168814. [PMID: 39374889 PMCID: PMC12045467 DOI: 10.1016/j.jmb.2024.168814] [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: 07/01/2024] [Revised: 09/22/2024] [Accepted: 10/02/2024] [Indexed: 10/09/2024]
Abstract
The accurate and efficient biogenesis of RNA by cellular RNA polymerase (RNAP) requires accessory factors that regulate the initiation, elongation, and termination of transcription. Of the many discovered to date, the elongation regulator NusG-Spt5 is the only universally conserved transcription factor. With orthologs and paralogs found in all three domains of life, this ubiquity underscores their ancient and essential regulatory functions. NusG-Spt5 proteins evolved to maintain a similar binding interface to RNAP through contacts of the NusG N-terminal domain (NGN) that bridge the main DNA-binding cleft. We propose that varying strength of these contacts, modulated by tethering interactions, either decrease transcriptional pausing by smoothing the rugged thermodynamic landscape of transcript elongation or enhance pausing, depending on which conformation of RNAP is stabilized by NGN contacts. NusG-Spt5 contains one (in bacteria and archaea) or more (in eukaryotes) C-terminal domains that use a KOW fold to contact diverse targets, tether the NGN, and control RNA biogenesis. Recent work highlights these diverse functions in different organisms. Some bacteria contain multiple specialized NusG paralogs that regulate subsets of operons via sequence-specific targeting, controlling production of antibiotics, toxins, or capsule proteins. Despite their common origin, NusG orthologs can differ in their target selection, interacting partners, and effects on RNA synthesis. We describe the current understanding of NusG-Spt5 structure, interactions with RNAP and other regulators, and cellular functions including significant recent progress from genome-wide analyses, single-molecule visualization, and cryo-EM. The recent findings highlight the remarkable diversity of function among these structurally conserved proteins.
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Affiliation(s)
- Rachel A Mooney
- Department of Biochemistry, University of Wisconsin - Madison, 1550 Linden Drive, Madison, WI 53706, United States.
| | - Junqiao Zhu
- Department of Biochemistry, University of Wisconsin - Madison, 1550 Linden Drive, Madison, WI 53706, United States
| | - Jason Saba
- Department of Biochemistry, University of Wisconsin - Madison, 1550 Linden Drive, Madison, WI 53706, United States
| | - Robert Landick
- Department of Biochemistry, University of Wisconsin - Madison, 1550 Linden Drive, Madison, WI 53706, United States; Department of Bacteriology, University of Wisconsin - Madison, 1550 Linden Drive, Madison, WI 53706, United States.
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27
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Wiechens E, Vigliotti F, Siniuk K, Schwarz R, Schwab K, Riege K, van Bömmel A, Görlich I, Bens M, Sahm A, Groth M, Sammons MA, Loewer A, Hoffmann S, Fischer M. Gene regulation by convergent promoters. Nat Genet 2025; 57:206-217. [PMID: 39779959 PMCID: PMC11735407 DOI: 10.1038/s41588-024-02025-w] [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: 05/17/2023] [Accepted: 11/04/2024] [Indexed: 01/11/2025]
Abstract
Convergent transcription, that is, the collision of sense and antisense transcription, is ubiquitous in mammalian genomes and believed to diminish RNA expression. Recently, antisense transcription downstream of promoters was found to be surprisingly prevalent. However, functional characteristics of affected promoters are poorly investigated. Here we show that convergent transcription marks an unexpected positively co-regulated promoter constellation. By assessing transcriptional dynamic systems, we identified co-regulated constituent promoters connected through a distinct chromatin structure. Within these cis-regulatory domains, transcription factors can regulate both constituting promoters by binding to only one of them. Convergent promoters comprise about a quarter of all active transcript start sites and initiate 5'-overlapping antisense RNAs-an RNA class believed previously to be rare. Visualization of nascent RNA molecules reveals convergent cotranscription at these loci. Together, our results demonstrate that co-regulated convergent promoters substantially expand the cis-regulatory repertoire, reveal limitations of the transcription interference model and call for adjusting the promoter concept.
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Affiliation(s)
- Elina Wiechens
- Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Flavia Vigliotti
- Department of Biology, Systems Biology of the Stress Response, Technical University of Darmstadt, Darmstadt, Germany
| | - Kanstantsin Siniuk
- Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Robert Schwarz
- Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Katjana Schwab
- Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Konstantin Riege
- Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Alena van Bömmel
- Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Ivonne Görlich
- Core Facility Next Generation Sequencing, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Martin Bens
- Core Facility Next Generation Sequencing, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Arne Sahm
- Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
- Computational Phenomics Group, IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
- Computational Phenomics Group, Ruhr University Bochum, Bochum, Germany
| | - Marco Groth
- Core Facility Next Generation Sequencing, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany
| | - Morgan A Sammons
- Department of Biological Sciences, The RNA Institute, The State University of New York at Albany, Albany, NY, USA
| | - Alexander Loewer
- Department of Biology, Systems Biology of the Stress Response, Technical University of Darmstadt, Darmstadt, Germany
| | - Steve Hoffmann
- Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
| | - Martin Fischer
- Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
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28
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Estell C, West S. ZC3H4/Restrictor Exerts a Stranglehold on Pervasive Transcription. J Mol Biol 2025; 437:168707. [PMID: 39002716 DOI: 10.1016/j.jmb.2024.168707] [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: 05/14/2024] [Revised: 07/06/2024] [Accepted: 07/09/2024] [Indexed: 07/15/2024]
Abstract
The regulation of transcription by RNA polymerase II (RNAPII) underpins all cellular processes and is perturbed in thousands of diseases. In humans, RNAPII transcribes ∼20000 protein-coding genes and engages in apparently futile non-coding transcription at thousands of other sites. Despite being so ubiquitous, this transcription is usually attenuated soon after initiation and the resulting products are immediately degraded by the nuclear exosome. We and others have recently described a new complex, "Restrictor", which appears to control such unproductive transcription. Underpinned by the RNA binding protein, ZC3H4, Restrictor curtails unproductive/pervasive transcription genome-wide. Here, we discuss these recent discoveries and speculate on some of the many unknowns regarding Restrictor function and mechanism.
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Affiliation(s)
- Chris Estell
- The Living Systems Institute, University of Exeter, Stocker Road, Exeter EX4 4QD, UK.
| | - Steven West
- The Living Systems Institute, University of Exeter, Stocker Road, Exeter EX4 4QD, UK.
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29
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Grzechnik P, Mischo HE. Fateful Decisions of Where to Cut the Line: Pathology Associated with Aberrant 3' End Processing and Transcription Termination. J Mol Biol 2025; 437:168802. [PMID: 39321865 PMCID: PMC11870849 DOI: 10.1016/j.jmb.2024.168802] [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: 07/31/2024] [Revised: 09/17/2024] [Accepted: 09/19/2024] [Indexed: 09/27/2024]
Abstract
Aberrant gene expression lies at the heart of many pathologies. This review will point out how 3' end processing, the final mRNA-maturation step in the transcription cycle, is surprisingly prone to regulated as well as stochastic variations with a wide range of consequences. Whereas smaller variations contribute to the plasticity of gene expression, larger alternations to 3' end processing and coupled transcription termination can lead to pathological consequences. These can be caused by the local mutation of one gene or affect larger numbers of genes systematically, if aspects of the mechanisms of 3' end processing and transcription termination are altered.
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Affiliation(s)
- Pawel Grzechnik
- Division of Molecular and Cellular Function, School of Biological Sciences, University of Manchester, United Kingdom
| | - Hannah E Mischo
- Department of Infectious Diseases, School of Immunology and Microbial Sciences, King's College London, United Kingdom.
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30
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Diao AJ, Su BG, Vos SM. Pause Patrol: Negative Elongation Factor's Role in Promoter-Proximal Pausing and Beyond. J Mol Biol 2025; 437:168779. [PMID: 39241983 DOI: 10.1016/j.jmb.2024.168779] [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: 06/28/2024] [Revised: 08/27/2024] [Accepted: 08/30/2024] [Indexed: 09/09/2024]
Abstract
RNA polymerase (Pol) II is highly regulated to ensure appropriate gene expression. Early transcription elongation is associated with transient pausing of RNA Pol II in the promoter-proximal region. In multicellular organisms, this pausing is stabilized by the association of transcription elongation factors DRB-sensitivity inducing factor (DSIF) and Negative Elongation Factor (NELF). DSIF is a broadly conserved transcription elongation factor whereas NELF is mostly restricted to the metazoan lineage. Mounting evidence suggests that NELF association with RNA Pol II serves as checkpoint for either release into rapid and productive transcription elongation or premature termination at promoter-proximal pause sites. Here we summarize NELF's roles in promoter-proximal pausing, transcription termination, DNA repair, and signaling based on decades of cell biological, biochemical, and structural work and describe areas for future research.
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Affiliation(s)
- Annette J Diao
- Department of Biology, Massachusetts Institute of Technology, Building 68, 31 Ames St., Cambridge, MA 02139, United States
| | - Bonnie G Su
- Department of Biology, Massachusetts Institute of Technology, Building 68, 31 Ames St., Cambridge, MA 02139, United States
| | - Seychelle M Vos
- Department of Biology, Massachusetts Institute of Technology, Building 68, 31 Ames St., Cambridge, MA 02139, United States; Howard Hughes Medical Institute, United States.
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31
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Pinskaya M, Jarroux J, Cipolla R, Morillon A. Nascent and Mature RNA Profiling by Subcellular Fractionation in Human Cells. Methods Mol Biol 2025; 2863:283-296. [PMID: 39535716 DOI: 10.1007/978-1-0716-4176-7_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Transcription and RNA decay determine steady-state RNA levels in cells available for translation and RNA-mediated regulatory functions. Both processes can be assessed by various techniques, for majority, based on RNA labelling or chromatin immunoprecipitation, but require a high level of expertise. Here, we describe a cost-effective, fast, and simple protocol that enables the profiling of nascent and mature RNA in the cytoplasm, nucleoplasm, and chromatin through subcellular fractionation. The workflow can include α-amanitin inhibition of RNA Polymerase II to assess nascent RNAs as a proxy of transcriptional activity, or it can be used without this treatment to investigate distribution of partially processed or mature transcripts across distinct subcellular compartments. It is applicable for studying any of RNA biotypes, including small and long noncoding RNAs, mRNAs, and their splice variants, on both transcript-specific and transcriptome-wide scales. Nascent or mature RNAs isolated from each fraction can be further analyzed by any technique of choice (northern blot, reverse transcription, RNA sequencing).
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Affiliation(s)
- Marina Pinskaya
- ncRNA, Epigenetic and Genome Fluidity, CNRS UMR3244, Sorbonne Université, PSL University, Institut Curie, Centre de Recherche, Paris, France.
| | - Julien Jarroux
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
- Center for Neurogenetics, Weill Cornell Medicine, New York, NY, USA
| | - Rocco Cipolla
- ncRNA, Epigenetic and Genome Fluidity, CNRS UMR3244, Sorbonne Université, PSL University, Institut Curie, Centre de Recherche, Paris, France
| | - Antonin Morillon
- ncRNA, Epigenetic and Genome Fluidity, CNRS UMR3244, Sorbonne Université, PSL University, Institut Curie, Centre de Recherche, Paris, France.
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32
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Pavlu S, Nikumbh S, Kovacik M, An T, Lenhard B, Simkova H, Navratilova P. Core promoterome of barley embryo. Comput Struct Biotechnol J 2024; 23:264-277. [PMID: 38173877 PMCID: PMC10762323 DOI: 10.1016/j.csbj.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 01/05/2024] Open
Abstract
Precise localization and dissection of gene promoters are key to understanding transcriptional gene regulation and to successful bioengineering applications. The core RNA polymerase II initiation machinery is highly conserved among eukaryotes, leading to a general expectation of equivalent underlying mechanisms. Still, less is known about promoters in the plant kingdom. In this study, we employed cap analysis of gene expression (CAGE) at three embryonic developmental stages in barley to accurately map, annotate, and quantify transcription initiation events. Unsupervised discovery of de novo sequence clusters grouped promoters based on characteristic initiator and position-specific core-promoter motifs. This grouping was complemented by the annotation of transcription factor binding site (TFBS) motifs. Integration with genome-wide epigenomic data sets and gene ontology (GO) enrichment analysis further delineated the chromatin environments and functional roles of genes associated with distinct promoter categories. The TATA-box presence governs all features explored, supporting the general model of two separate genomic regulatory environments. We describe the extent and implications of alternative transcription initiation events, including those that are specific to developmental stages, which can affect the protein sequence or the presence of regions that regulate translation. The generated promoterome dataset provides a valuable genomic resource for enhancing the functional annotation of the barley genome. It also offers insights into the transcriptional regulation of individual genes and presents opportunities for the informed manipulation of promoter architecture, with the aim of enhancing traits of agronomic importance.
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Affiliation(s)
- Simon Pavlu
- Institute of Experimental Botany of the Czech Academy of Sciences, Slechtitelu 31, 77900 Olomouc, Czech Republic
- Department of Cell Biology and Genetics, Faculty of Science, Palacky University, Slechtitelu 27, 78371 Olomouc, Czech Republic
| | - Sarvesh Nikumbh
- Merck Sharp & Dohme (UK) Limited, 120 Moorgate, London EC2M 6UR, UK
| | - Martin Kovacik
- Institute of Experimental Botany of the Czech Academy of Sciences, Slechtitelu 31, 77900 Olomouc, Czech Republic
- Department of Cell Biology and Genetics, Faculty of Science, Palacky University, Slechtitelu 27, 78371 Olomouc, Czech Republic
| | - Tadaichi An
- DNAFORM Precision Gene Technologies, 230–0046 Yokohama, Kanagawa, Japan
| | - Boris Lenhard
- Computational Regulatory Genomics, MRC London Institute of Medical Sciences, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Hana Simkova
- Institute of Experimental Botany of the Czech Academy of Sciences, Slechtitelu 31, 77900 Olomouc, Czech Republic
| | - Pavla Navratilova
- Institute of Experimental Botany of the Czech Academy of Sciences, Slechtitelu 31, 77900 Olomouc, Czech Republic
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33
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Fosseprez O, Cuvier O. Uncovering the functions and mechanisms of regulatory elements-associated non-coding RNAs. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2024; 1867:195059. [PMID: 39226990 DOI: 10.1016/j.bbagrm.2024.195059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 08/12/2024] [Accepted: 08/23/2024] [Indexed: 09/05/2024]
Abstract
Over the past decade, regulatory non-coding RNAs (ncRNAs) produced by RNA Pol II have been revealed as meaningful players in various essential cellular functions. In particular, thousands of ncRNAs are produced at transcriptional regulatory elements such as enhancers and promoters, where they may exert multiple functions to regulate proper development, cellular programming, transcription or genomic stability. Here, we review the mechanisms involving these regulatory element-associated ncRNAs, and particularly enhancer RNAs (eRNAs) and PROMoter uPstream Transcripts (PROMPTs). We contextualize the mechanisms described to the processing and degradation of these short lived RNAs. We summarize recent findings explaining how ncRNAs operate locally at promoters and enhancers, or further away, either shortly after their production by RNA Pol II, or through post-transcriptional stabilization. Such discoveries lead to a converging model accounting for how ncRNAs influence cellular fate, by acting on transcription and chromatin structure, which may further involve factors participating to 3D nuclear organization.
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Affiliation(s)
- Olivier Fosseprez
- Chromatin Dynamics and Cell Proliferation team; Center of Integrative Biology (CBI), Molecular Cellular and Developmental Biology Unit (MCD/UMR5077) Center of Integrative Biology (CBI-CNRS), Université de Toulouse (UPS), F-31000, France.
| | - Olivier Cuvier
- Chromatin Dynamics and Cell Proliferation team; Center of Integrative Biology (CBI), Molecular Cellular and Developmental Biology Unit (MCD/UMR5077) Center of Integrative Biology (CBI-CNRS), Université de Toulouse (UPS), F-31000, France.
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34
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Davidson L, Rouvière JO, Sousa-Luís R, Nojima T, Proudfoot NJ, Jensen TH, West S. DNA-directed termination of mammalian RNA polymerase II. Genes Dev 2024; 38:998-1019. [PMID: 39496457 DOI: 10.1101/gad.351978.124] [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: 06/01/2024] [Accepted: 10/02/2024] [Indexed: 11/06/2024]
Abstract
The best-studied mechanism of eukaryotic RNA polymerase II (RNAPII) transcriptional termination involves polyadenylation site-directed cleavage of the nascent RNA. The RNAPII-associated cleavage product is then degraded by XRN2, dislodging RNAPII from the DNA template. In contrast, prokaryotic RNAP and eukaryotic RNAPIII often terminate directly at T-tracts in the coding DNA strand. Here, we demonstrate a similar and omnipresent capability for mammalian RNAPII. Importantly, this termination mechanism does not require upstream RNA cleavage. Accordingly, T-tract-dependent termination can take place when XRN2 cannot be engaged. We show that T-tracts can terminate snRNA transcription independently of RNA cleavage by the Integrator complex. Importantly, we found genome-wide termination at T-tracts in promoter-proximal regions but not within protein-coding gene bodies. XRN2-dependent termination dominates downstream from protein-coding genes, but the T-tract process is sometimes used. Overall, we demonstrate global DNA-directed attrition of RNAPII transcription, suggesting that RNAPs retain the potential to terminate over T-rich sequences throughout evolution.
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Affiliation(s)
- Lee Davidson
- The Living Systems Institute, University of Exeter, Exeter EX4 4QD, United Kingdom
| | - Jérôme O Rouvière
- Department of Molecular Biology and Genetics, Aarhus University, 8000C Aarhus, Denmark
| | - Rui Sousa-Luís
- Sir William Dunn School of Pathology, Oxford OX1 3RE, United Kingdom
| | - Takayuki Nojima
- Sir William Dunn School of Pathology, Oxford OX1 3RE, United Kingdom
- Medical Institute of Bioregulation, Kyushu University, Higashi-ku, Fukuoka 812-8582, Japan
| | | | - Torben Heick Jensen
- Department of Molecular Biology and Genetics, Aarhus University, 8000C Aarhus, Denmark;
| | - Steven West
- The Living Systems Institute, University of Exeter, Exeter EX4 4QD, United Kingdom;
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35
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Wagner RE, Arnetzl L, Britto-Borges T, Heit-Mondrzyk A, Bakr A, Sollier E, Gkatza NA, Panten J, Delaunay S, Sohn D, Schmezer P, Odom DT, Müller-Decker K, Plass C, Dieterich C, Lutsik P, Bornelöv S, Frye M. SRSF2 safeguards efficient transcription of DNA damage and repair genes. Cell Rep 2024; 43:114869. [PMID: 39446588 DOI: 10.1016/j.celrep.2024.114869] [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: 02/01/2024] [Revised: 09/12/2024] [Accepted: 09/27/2024] [Indexed: 10/26/2024] Open
Abstract
The serine-/arginine-rich splicing factor 2 (SRSF2) plays pivotal roles in pre-mRNA processing and gene transcription. Recurrent mutations, particularly a proline-to-histidine substitution at position 95 (P95H), are common in neoplastic diseases. Here, we assess SRSF2's diverse functions in squamous cell carcinoma. We show that SRSF2 deletion or homozygous P95H mutation both cause extensive DNA damage leading to cell-cycle arrest. Mechanistically, SRSF2 regulates efficient bi-directional transcription of DNA replication and repair genes, independent from its function in splicing. Further, SRSF2 haploinsufficiency induces DNA damage without halting the cell cycle. Exposing mouse skin to tumor-promoting carcinogens enhances the clonal expansion of heterozygous Srsf2 P95H epidermal cells but unexpectedly inhibits tumor formation. To survive carcinogen treatment, Srsf2 P95H+/- cells undergo substantial transcriptional rewiring and restore bi-directional gene expression. Thus, our study underscores SRSF2's importance in regulating transcription to orchestrate the cell cycle and the DNA damage response.
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Affiliation(s)
- Rebecca E Wagner
- Division of Mechanisms Regulating Gene Expression, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Faculty of Biosciences, Heidelberg University, 69117 Heidelberg, Germany
| | - Leonie Arnetzl
- Division of Mechanisms Regulating Gene Expression, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Thiago Britto-Borges
- Section of Bioinformatics and Systems Cardiology, Department of Internal Medicine III and Klaus Tschira Institute for Integrative Computational Cardiology, Heidelberg University Hospital, 69120 Heidelberg, Germany; German Centre for Cardiovascular Research (DZHK), Partner site Heidelberg/Mannheim, 69120 Heidelberg, Germany
| | - Anke Heit-Mondrzyk
- Division of Mechanisms Regulating Gene Expression, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Ali Bakr
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Etienne Sollier
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | | | - Jasper Panten
- Faculty of Biosciences, Heidelberg University, 69117 Heidelberg, Germany; Division of Regulatory Genomics and Cancer Evolution, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Sylvain Delaunay
- Division of Mechanisms Regulating Gene Expression, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Daniela Sohn
- Division of Mechanisms Regulating Gene Expression, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Peter Schmezer
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Duncan T Odom
- Division of Regulatory Genomics and Cancer Evolution, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Karin Müller-Decker
- Division of Mechanisms Regulating Gene Expression, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Christoph Plass
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Christoph Dieterich
- Section of Bioinformatics and Systems Cardiology, Department of Internal Medicine III and Klaus Tschira Institute for Integrative Computational Cardiology, Heidelberg University Hospital, 69120 Heidelberg, Germany; German Centre for Cardiovascular Research (DZHK), Partner site Heidelberg/Mannheim, 69120 Heidelberg, Germany
| | - Pavlo Lutsik
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| | - Susanne Bornelöv
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, CB2 0RE Cambridge, UK
| | - Michaela Frye
- Division of Mechanisms Regulating Gene Expression, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
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36
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Cochran K, Yin M, Mantripragada A, Schreiber J, Marinov GK, Shah SR, Yu H, Lis JT, Kundaje A. Dissecting the cis-regulatory syntax of transcription initiation with deep learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.28.596138. [PMID: 38853896 PMCID: PMC11160661 DOI: 10.1101/2024.05.28.596138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Despite extensive characterization of mammalian Pol II transcription, the DNA sequence determinants of transcription initiation at a third of human promoters and most enhancers remain poorly understood. We trained and interpreted a neural network called ProCapNet that accurately models base-resolution initiation profiles from PRO-cap experiments using local DNA sequence. ProCapNet learns sequence motifs with distinct effects on initiation rates and TSS positioning and uncovers context-specific cryptic initiator elements intertwined within other TF motifs. ProCapNet annotates predictive motifs in nearly all actively transcribed regulatory elements across multiple cell-lines, revealing a shared cis-regulatory logic across promoters and enhancers and a highly epistatic sequence syntax of cooperative and competitive motif interactions. ProCapNet models of steady-state RAMPAGE profiles distill initiation signals on par with models trained directly on PRO-cap profiles. ProCapNet learns a largely cell-type-agnostic cis-regulatory code of initiation complementing sequence drivers of cell-type-specific chromatin state critical for accurate prediction of cell-type-specific transcription initiation.
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Affiliation(s)
- Kelly Cochran
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | | | | | - Jacob Schreiber
- Department of Genetics, Stanford University, Stanford, CA, USA
| | | | - Sagar R Shah
- Department of Molecular Biology and Genetics, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA
| | - Haiyuan Yu
- Department of Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY, USA
| | - John T Lis
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Anshul Kundaje
- Department of Computer Science, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
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37
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Zhang J, Wang Q, Liu J, Duan Y, Liu Z, Zhang Z, Li C. Active enhancers: recent research advances and insights into disease. Biol Direct 2024; 19:112. [PMID: 39533395 PMCID: PMC11556110 DOI: 10.1186/s13062-024-00559-x] [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: 07/22/2024] [Accepted: 11/04/2024] [Indexed: 11/16/2024] Open
Abstract
Precise regulation of gene expression is crucial to development. Enhancers, the core of gene regulation, determine the spatiotemporal pattern of gene transcription. Since many disease-associated mutations are characterized in enhancers, the research on enhancer will provide clues to precise medicine. Rapid advances in high-throughput sequencing technology facilitate the characterization of enhancers at genome wide, but understanding the functional mechanisms of enhancers remains challenging. Herein, we provide a panorama of enhancer characteristics, including epigenetic modifications, enhancer transcripts, and enhancer-promoter interaction patterns. Furthermore, we outline the applications of high-throughput sequencing technology and functional genomics methods in enhancer research. Finally, we discuss the role of enhancers in human disease and their potential as targets for disease prevention and treatment strategies.
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Affiliation(s)
- Junyou Zhang
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
| | - Qilin Wang
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
| | - Jiaxin Liu
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
| | - Yingying Duan
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
| | - Zhaoshuo Liu
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
| | - Ziyi Zhang
- School of Engineering Medicine, Beihang University, Beijing, 100191, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China
| | - Chunyan Li
- School of Engineering Medicine, Beihang University, Beijing, 100191, China.
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
- Key Laboratory of Big Data-Based Precision Medicine (Ministry of Industry and Information Technology), Beihang University, Beijing, 100191, China.
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China.
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38
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Lewis MW, King CM, Wisniewska K, Regner MJ, Coffey A, Kelly MR, Mendez-Giraldez R, Davis ES, Phanstiel DH, Franco HL. CRISPR Screening of Transcribed Super-Enhancers Identifies Drivers of Triple-Negative Breast Cancer Progression. Cancer Res 2024; 84:3684-3700. [PMID: 39186674 PMCID: PMC11534545 DOI: 10.1158/0008-5472.can-23-3995] [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: 12/18/2023] [Revised: 06/03/2024] [Accepted: 08/14/2024] [Indexed: 08/28/2024]
Abstract
Triple-negative breast cancer (TNBC) is the most therapeutically recalcitrant form of breast cancer, which is due in part to the paucity of targeted therapies. A systematic analysis of regulatory elements that extend beyond protein-coding genes could uncover avenues for therapeutic intervention. To this end, we analyzed the regulatory mechanisms of TNBC-specific transcriptional enhancers together with their noncoding enhancer RNA (eRNA) transcripts. The functions of the top 30 eRNA-producing super-enhancers were systematically probed using high-throughput CRISPR-interference assays coupled to RNA sequencing that enabled unbiased detection of target genes genome-wide. Generation of high-resolution Hi-C chromatin interaction maps enabled annotation of the direct target genes for each super-enhancer, which highlighted their proclivity for genes that portend worse clinical outcomes in patients with TNBC. Illustrating the utility of this dataset, deletion of an identified super-enhancer controlling the nearby PODXL gene or specific degradation of its eRNAs led to profound inhibitory effects on target gene expression, cell proliferation, and migration. Furthermore, loss of this super-enhancer suppressed tumor growth and metastasis in TNBC mouse xenograft models. Single-cell RNA sequencing and assay for transposase-accessible chromatin with high-throughput sequencing analyses demonstrated the enhanced activity of this super-enhancer within the malignant cells of TNBC tumor specimens compared with nonmalignant cell types. Collectively, this work examines several fundamental questions about how regulatory information encoded into eRNA-producing super-enhancers drives gene expression networks that underlie the biology of TNBC. Significance: Integrative analysis of eRNA-producing super-enhancers defines molecular mechanisms controlling global patterns of gene expression that regulate clinical outcomes in breast cancer, highlighting the potential of enhancers as biomarkers and therapeutic targets.
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Affiliation(s)
- Michael W. Lewis
- The Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Caitlin M. King
- The Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Kamila Wisniewska
- The Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Matthew J. Regner
- The Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Bioinformatics and Computational Biology Graduate Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Alisha Coffey
- The Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Michael R. Kelly
- The Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Bioinformatics and Computational Biology Graduate Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Raul Mendez-Giraldez
- The Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Eric S. Davis
- Bioinformatics and Computational Biology Graduate Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Douglas H. Phanstiel
- Bioinformatics and Computational Biology Graduate Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Cell Biology & Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Hector L. Franco
- The Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Bioinformatics and Computational Biology Graduate Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- The Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Division of Clinical and Translational Cancer Research, University of Puerto Rico Comprehensive Cancer Center, San Juan, PR 00935
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39
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Tang J, Weiser NE, Wang G, Chowdhry S, Curtis EJ, Zhao Y, Wong ITL, Marinov GK, Li R, Hanoian P, Tse E, Mojica SG, Hansen R, Plum J, Steffy A, Milutinovic S, Meyer ST, Luebeck J, Wang Y, Zhang S, Altemose N, Curtis C, Greenleaf WJ, Bafna V, Benkovic SJ, Pinkerton AB, Kasibhatla S, Hassig CA, Mischel PS, Chang HY. Enhancing transcription-replication conflict targets ecDNA-positive cancers. Nature 2024; 635:210-218. [PMID: 39506153 PMCID: PMC11540844 DOI: 10.1038/s41586-024-07802-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 07/09/2024] [Indexed: 11/08/2024]
Abstract
Extrachromosomal DNA (ecDNA) presents a major challenge for cancer patients. ecDNA renders tumours treatment resistant by facilitating massive oncogene transcription and rapid genome evolution, contributing to poor patient survival1-7. At present, there are no ecDNA-specific treatments. Here we show that enhancing transcription-replication conflict enables targeted elimination of ecDNA-containing cancers. Stepwise analyses of ecDNA transcription reveal pervasive RNA transcription and associated single-stranded DNA, leading to excessive transcription-replication conflicts and replication stress compared with chromosomal loci. Nucleotide incorporation on ecDNA is markedly slower, and replication stress is significantly higher in ecDNA-containing tumours regardless of cancer type or oncogene cargo. pRPA2-S33, a mediator of DNA damage repair that binds single-stranded DNA, shows elevated localization on ecDNA in a transcription-dependent manner, along with increased DNA double strand breaks, and activation of the S-phase checkpoint kinase, CHK1. Genetic or pharmacological CHK1 inhibition causes extensive and preferential tumour cell death in ecDNA-containing tumours. We advance a highly selective, potent and bioavailable oral CHK1 inhibitor, BBI-2779, that preferentially kills ecDNA-containing tumour cells. In a gastric cancer model containing FGFR2 amplified on ecDNA, BBI-2779 suppresses tumour growth and prevents ecDNA-mediated acquired resistance to the pan-FGFR inhibitor infigratinib, resulting in potent and sustained tumour regression in mice. Transcription-replication conflict emerges as a target for ecDNA-directed therapy, exploiting a synthetic lethality of excess to treat cancer.
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Affiliation(s)
- Jun Tang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Natasha E Weiser
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Guiping Wang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Ellis J Curtis
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Medical Scientist Training Program, University of California, San Diego, La Jolla, CA, USA
| | - Yanding Zhao
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ivy Tsz-Lo Wong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Georgi K Marinov
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Rui Li
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Philip Hanoian
- Department of Chemistry, Pennsylvania State University, University Park, PA, USA
| | | | | | | | | | | | | | | | - Jens Luebeck
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Yanbo Wang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Shu Zhang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Nicolas Altemose
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Christina Curtis
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - William J Greenleaf
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Stephen J Benkovic
- Department of Chemistry, Pennsylvania State University, University Park, PA, USA
| | | | | | | | - Paul S Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA.
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA.
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA.
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40
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Qiu K, Vu DC, Wang L, Nguyen NN, Bookstaver AK, Sol-Church K, Li H, Dinh TN, Goldfarb AN, Tenen DG, Trinh BQ. Chromatin structure and 3D architecture define the differential functions of PU.1 regulatory elements in blood cell lineages. Epigenetics Chromatin 2024; 17:33. [PMID: 39487555 PMCID: PMC11531149 DOI: 10.1186/s13072-024-00556-4] [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: 03/29/2024] [Accepted: 10/22/2024] [Indexed: 11/04/2024] Open
Abstract
The precise spatiotemporal expression of the hematopoietic ETS transcription factor PU.1, a key determinant of hematopoietic cell fates, is tightly regulated at the chromatin level. However, how chromatin signatures are linked to this dynamic expression pattern across different blood cell lineages remains uncharacterized. Here, we performed an in-depth analysis of the relationships between gene expression, chromatin structure, 3D architecture, and trans-acting factors at PU.1 cis-regulatory elements (PCREs). By identifying phylogenetically conserved DNA elements within chromatin-accessible regions in primary human blood lineages, we discovered multiple novel candidate PCREs within the upstream region of the human PU.1 locus. A subset of these elements localizes within an 8-kb-wide cluster exhibiting enhancer features, including open chromatin, demethylated DNA, enriched enhancer histone marks, present enhancer RNAs, and PU.1 occupation, presumably mediating PU.1 autoregulation. Importantly, we revealed the presence of a common 35-kb-wide CTCF-flanked insulated neighborhood that contains the PCRE cluster (PCREC), forming a chromatin territory for lineage-specific and PCRE-mediated chromatin interactions. These include functional PCRE-promoter interactions in myeloid and B cells that are absent in erythroid and T cells. By correlating chromatin structure and 3D architecture with PU.1 expression in various lineages, we were able to attribute enhancer versus silencer functions to individual elements. Our findings provide mechanistic insights into the interplay between dynamic chromatin structure and 3D architecture in the chromatin regulation of PU.1 expression. This study lays crucial groundwork for additional experimental studies that validate and dissect the role of PCREs in epigenetic regulation of normal and malignant hematopoiesis.
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Affiliation(s)
- Kevin Qiu
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Duc C Vu
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Leran Wang
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Nicholas N Nguyen
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Anna K Bookstaver
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Katia Sol-Church
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Hui Li
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
- Molecular Genetics & Epigenetics Program, University of Virginia Comprehensive Cancer Center, Charlottesville, VA, 22908, USA
| | - Thang N Dinh
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Adam N Goldfarb
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Daniel G Tenen
- Cancer Science Institute, National University of Singapore, Singapore, 117599, Singapore
- Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, 02115, USA
| | - Bon Q Trinh
- Department of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA.
- Molecular Genetics & Epigenetics Program, University of Virginia Comprehensive Cancer Center, Charlottesville, VA, 22908, USA.
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41
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Chivu AG, Basso BA, Abuhashem A, Leger MM, Barshad G, Rice EJ, Vill AC, Wong W, Chou SP, Chovatiya G, Brady R, Smith JJ, Wikramanayake AH, Arenas-Mena C, Brito IL, Ruiz-Trillo I, Hadjantonakis AK, Lis JT, Lewis JJ, Danko CG. Evolution of promoter-proximal pausing enabled a new layer of transcription control. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.02.19.529146. [PMID: 39416036 PMCID: PMC11482795 DOI: 10.1101/2023.02.19.529146] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
Promoter-proximal pausing of RNA polymerase II (Pol II) is a key regulatory step during transcription. Despite the central role of pausing in gene regulation, we do not understand the evolutionary processes that led to the emergence of Pol II pausing or its transition to a rate-limiting step actively controlled by transcription factors. Here we analyzed transcription in species across the tree of life. Unicellular eukaryotes display a slow acceleration of Pol II near transcription start sites that transitioned to a longer-lived, focused pause in metazoans. This event coincided with the evolution of new subunits in the NELF and 7SK complexes. Depletion of NELF in mammals shifted the promoter-proximal buildup of Pol II from the pause site into the early gene body and compromised transcriptional activation for a set of heat shock genes. Our work details the evolutionary history of Pol II pausing and sheds light on how new transcriptional regulatory mechanisms evolve.
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Affiliation(s)
- Alexandra G. Chivu
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
- Department of Molecular Biology & Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Brent A. Basso
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
- Department of Molecular Biology & Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Abderhman Abuhashem
- Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, NY 10065, USA
- Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program, NY 10065, USA
- Biochemistry Cell and Molecular Biology Program, Weill Cornell Graduate School of Medical Sciences, Cornell University, NY 10065, USA
| | - Michelle M. Leger
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, 08003, Spain
| | - Gilad Barshad
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Edward J. Rice
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Albert C. Vill
- Department of Molecular Biology & Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Wilfred Wong
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Tri-Institutional training Program in Computational Biology and Medicine, New York, NY 10065, USA
| | - Shao-Pei Chou
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Gopal Chovatiya
- Department of Molecular Biology & Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Rebecca Brady
- Department of Biology, Ithaca College, Ithaca NY 14850, USA
| | - Jeramiah J. Smith
- Department of Biology, University of Kentucky, Lexington, KY, 40506, USA
| | | | - César Arenas-Mena
- Department of Biology at the College of Staten Island and PhD Programs in Biology and Biochemistry at The Graduate Center, The City University of New York (CUNY), Staten Island, NY 10314, USA
| | - Ilana L. Brito
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
| | - Iñaki Ruiz-Trillo
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, 08003, Spain
- ICREA, Pg. Lluis Companys 23, 08010 Barcelona, Spain., Barcelona, 08003, Spain
| | - Anna-Katerina Hadjantonakis
- Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, NY 10065, USA
- Biochemistry Cell and Molecular Biology Program, Weill Cornell Graduate School of Medical Sciences, Cornell University, NY 10065, USA
| | - John T. Lis
- Department of Molecular Biology & Genetics, Cornell University, Ithaca, NY 14853, USA
| | - James J. Lewis
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
- Department of Genetics and Biochemistry, Clemson University, 105 Collings St, Clemson, SC 29634
| | - Charles G. Danko
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
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42
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Liu T, Shen X, Ren Y, Lu H, Liu Y, Chen C, Yu L, Xue Z. Genome-wide mapping of native co-localized G4s and R-loops in living cells. eLife 2024; 13:RP99026. [PMID: 39392462 PMCID: PMC11469684 DOI: 10.7554/elife.99026] [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: 10/12/2024] Open
Abstract
The interplay between G4s and R-loops are emerging in regulating DNA repair, replication, and transcription. A comprehensive picture of native co-localized G4s and R-loops in living cells is currently lacking. Here, we describe the development of HepG4-seq and an optimized HBD-seq methods, which robustly capture native G4s and R-loops, respectively, in living cells. We successfully employed these methods to establish comprehensive maps of native co-localized G4s and R-loops in human HEK293 cells and mouse embryonic stem cells (mESCs). We discovered that co-localized G4s and R-loops are dynamically altered in a cell type-dependent manner and are largely localized at active promoters and enhancers of transcriptional active genes. We further demonstrated the helicase Dhx9 as a direct and major regulator that modulates the formation and resolution of co-localized G4s and R-loops. Depletion of Dhx9 impaired the self-renewal and differentiation capacities of mESCs by altering the transcription of co-localized G4s and R-loops -associated genes. Taken together, our work established that the endogenous co-localized G4s and R-loops are prevalently persisted in the regulatory regions of active genes and are involved in the transcriptional regulation of their linked genes, opening the door for exploring broader roles of co-localized G4s and R-loops in development and disease.
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Affiliation(s)
- Ting Liu
- Key Laboratory of Birth Defects and Related Disease of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan UniversityChengduChina
| | - Xing Shen
- Key Laboratory of Birth Defects and Related Disease of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan UniversityChengduChina
| | - Yijia Ren
- Key Laboratory of Birth Defects and Related Disease of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan UniversityChengduChina
| | - Hongyu Lu
- Key Laboratory of Birth Defects and Related Disease of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan UniversityChengduChina
| | - Yu Liu
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan UniversityChengduChina
| | - Chong Chen
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan UniversityChengduChina
| | - Lin Yu
- Key Laboratory of Birth Defects and Related Disease of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan UniversityChengduChina
| | - Zhihong Xue
- Key Laboratory of Birth Defects and Related Disease of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Sichuan UniversityChengduChina
- Development and Related Diseases of Women and Children Key Laboratory of Sichuan ProvinceChengduChina
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43
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Jiang J, Liu S, Xu Z, Yu S, Wang L, Long S, Ye S, Yan Y, Xu H, Zhang J, Wei W, Zhao Q, Li X. Transcriptome-Wide Profiling of Nascent RNA in Neurons with Enriched H3K27ac Signal Elevates eRNA Identification Efficiency. ACS Chem Neurosci 2024; 15:3626-3639. [PMID: 39377285 PMCID: PMC11487572 DOI: 10.1021/acschemneuro.4c00047] [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: 01/20/2024] [Revised: 08/17/2024] [Accepted: 08/19/2024] [Indexed: 10/09/2024] Open
Abstract
Growing evidence suggests that activity-dependent gene expression is crucial for neuronal plasticity and behavioral experience. Enhancer RNAs (eRNAs), a class of long noncoding RNAs, play a key role in these processes. However, eRNAs are highly dynamic and are often present at lower levels than their corresponding mRNAs, making them difficult to detect using total RNA-seq techniques. Nascent RNA sequencing, which separates nascent RNAs from the steady-state RNA population, has been shown to increase the ability to detect activity-induced eRNAs with a higher signal-to-noise ratio. However, there is a lack of bioinformatic tools or pipelines for detecting eRNAs utilizing nascent RNA-seq and other multiomics data sets. In this study, we addressed this gap by developing a novel bioinformatic framework, e-finder, for finding eRNAs and have made it available to the scientific community. Additionally, we reanalyzed our previous nascent RNA sequencing data and compared them with total RNA-seq data to identify activity-regulated RNAs in neuronal cell populations. Using H3K27 acetylome data, we characterized activity-dependent eRNAs that drive the transcriptional activity of the target genes. Our analysis identified a subset of eRNAs involved in mediating synapse organization, which showed increased activity-dependent transcription after the potassium chloride stimulation. Notably, our data suggest that nascent RNA-seq with an enriched H3K27ac signal exhibits high resolution to identify potential eRNAs in response to membrane depolarization. Our findings uncover the role of the eRNA-mediated gene activation network in neuronal systems, providing new insights into the molecular processes characterizing neurological diseases.
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Affiliation(s)
- Jiazhi Jiang
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
- Department
of Neurosurgery, Zhongnan Hospital of Wuhan
University, Wuhan 430071, China
| | - Sha Liu
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
- Department
of General Practice, Zhongnan Hospital of
Wuhan University, Wuhan 430071, China
| | - Ziyue Xu
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
| | - Shuangqi Yu
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
| | - Lesheng Wang
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
| | - Shengrong Long
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
| | - Shengda Ye
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
- Department
of Neurosurgery, Zhongnan Hospital of Wuhan
University, Wuhan 430071, China
| | - Yu Yan
- Department
of Neurosurgery, Zhongnan Hospital of Wuhan
University, Wuhan 430071, China
| | - Hongyu Xu
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
| | - Jianjian Zhang
- Department
of Neurosurgery, Zhongnan Hospital of Wuhan
University, Wuhan 430071, China
| | - Wei Wei
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
- Department
of Neurosurgery, Zhongnan Hospital of Wuhan
University, Wuhan 430071, China
| | - Qiongyi Zhao
- Cognitive
Neuroepigenetics Laboratory, Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Xiang Li
- Brain
Research Center, Zhongnan Hosptial of Wuhan
University, Wuhan 430071, China
- Department
of Neurosurgery, Zhongnan Hospital of Wuhan
University, Wuhan 430071, China
- Frontier
Science Center for Immunology and Metabolism, Wuhan University, Wuhan 430071, China
- Medical
Research
Institute, Wuhan University, Wuhan 430071, China
- Sino-Italian
Ascula Brain Science Joint Laboratory, Zhongnan
Hosptial of Wuhan University, Wuhan 430071, China
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44
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Henninger JE, Young RA. An RNA-centric view of transcription and genome organization. Mol Cell 2024; 84:3627-3643. [PMID: 39366351 PMCID: PMC11495847 DOI: 10.1016/j.molcel.2024.08.021] [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: 05/07/2024] [Revised: 08/13/2024] [Accepted: 08/16/2024] [Indexed: 10/06/2024]
Abstract
Foundational models of transcriptional regulation involve the assembly of protein complexes at DNA elements associated with specific genes. These assemblies, which can include transcription factors, cofactors, RNA polymerase, and various chromatin regulators, form dynamic spatial compartments that contribute to both gene regulation and local genome architecture. This DNA-protein-centric view has been modified with recent evidence that RNA molecules have important roles to play in gene regulation and genome structure. Here, we discuss evidence that gene regulation by RNA occurs at multiple levels that include assembly of transcriptional complexes and genome compartments, feedback regulation of active genes, silencing of genes, and control of protein kinases. We thus provide an RNA-centric view of transcriptional regulation that must reside alongside the more traditional DNA-protein-centric perspectives on gene regulation and genome architecture.
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Affiliation(s)
- Jonathan E Henninger
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
| | - Richard A Young
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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45
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Peña Martinez CD, Zeraati M, Rouet R, Mazigi O, Henry JY, Gloss B, Kretzmann JA, Evans CW, Ruggiero E, Zanin I, Marušič M, Plavec J, Richter SN, Bryan TM, Smith NM, Dinger ME, Kummerfeld S, Christ D. Human genomic DNA is widely interspersed with i-motif structures. EMBO J 2024; 43:4786-4804. [PMID: 39210146 PMCID: PMC11480443 DOI: 10.1038/s44318-024-00210-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 08/05/2024] [Accepted: 08/09/2024] [Indexed: 09/04/2024] Open
Abstract
DNA i-motif structures are formed in the nuclei of human cells and are believed to provide critical genomic regulation. While the existence, abundance, and distribution of i-motif structures in human cells has been demonstrated and studied by immunofluorescent staining, and more recently NMR and CUT&Tag, the abundance and distribution of such structures in human genomic DNA have remained unclear. Here we utilise high-affinity i-motif immunoprecipitation followed by sequencing to map i-motifs in the purified genomic DNA of human MCF7, U2OS and HEK293T cells. Validated by biolayer interferometry and circular dichroism spectroscopy, our approach aimed to identify DNA sequences capable of i-motif formation on a genome-wide scale, revealing that such sequences are widely distributed throughout the human genome and are common in genes upregulated in G0/G1 cell cycle phases. Our findings provide experimental evidence for the widespread formation of i-motif structures in human genomic DNA and a foundational resource for future studies of their genomic, structural, and molecular roles.
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Affiliation(s)
- Cristian David Peña Martinez
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia
| | - Mahdi Zeraati
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia
| | - Romain Rouet
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia
| | - Ohan Mazigi
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia
| | - Jake Y Henry
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia
| | - Brian Gloss
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia
| | - Jessica A Kretzmann
- School of Molecular Sciences, University of Western Australia, Crawley, WA, 6009, Australia
| | - Cameron W Evans
- School of Molecular Sciences, University of Western Australia, Crawley, WA, 6009, Australia
| | - Emanuela Ruggiero
- Department of Molecular Medicine, University of Padua, 35121, Padua, Italy
| | - Irene Zanin
- Department of Molecular Medicine, University of Padua, 35121, Padua, Italy
| | - Maja Marušič
- Slovenian NMR Centre, National Institute of Chemistry, SI-1000, Ljubljana, Slovenia
| | - Janez Plavec
- Slovenian NMR Centre, National Institute of Chemistry, SI-1000, Ljubljana, Slovenia
| | - Sara N Richter
- Department of Molecular Medicine, University of Padua, 35121, Padua, Italy
| | - Tracy M Bryan
- Children's Medical Research Institute, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2145, Australia
| | - Nicole M Smith
- School of Molecular Sciences, University of Western Australia, Crawley, WA, 6009, Australia
| | - Marcel E Dinger
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia
- Faculty of Science, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Sarah Kummerfeld
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia
| | - Daniel Christ
- Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, 2010, Australia.
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Kensington, Sydney, NSW, 2010, Australia.
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46
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Zhou L, Chen H, Zhang J, Zhang J, Qiu H, Zhou T. Exact burst-size distributions for gene-expression models with complex promoter structure. Biosystems 2024; 246:105337. [PMID: 39299486 DOI: 10.1016/j.biosystems.2024.105337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 09/14/2024] [Accepted: 09/14/2024] [Indexed: 09/22/2024]
Abstract
In prokaryotic and eukaryotic cells, most genes are transcribed in a bursty fashion on one hand and complex gene regulations may lead to complex promoter structure on the other hand. This raises an unsolved issue: how does promoter structure shape transcriptional bursting kinetics characterized by burst size and frequency? Here we analyze stochastic models of gene transcription, which consider complex regulatory mechanisms. Notably, we develop an efficient method to derive exact burst-size distributions. The analytical results show that if the promoter of a gene contains only one active state, the burst size indeed follows a geometric distribution, in agreement with the previous result derived under certain limiting conditions. However, if it contains a multitude of active states, the burst size in general obeys a non-geometric distribution, which is a linearly weighted sum of geometric distributions. This superposition principle reveals the essential feature of bursting kinetics in complex cases of transcriptional regulation although it seems that there has been no direct experimental confirmation. The derived burst-size distributions not only highlight the importance of promoter structure in regulating bursting kinetics, but can be also used in the exact inference of this kinetics based on experimental data.
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Affiliation(s)
- Liying Zhou
- School of Mathematics, Sun Yat-Sen University, Guangzhou, 510275, PR China
| | - Haowen Chen
- School of Mathematics, Sun Yat-Sen University, Guangzhou, 510275, PR China
| | - Jinqiang Zhang
- School of Mathematics, Sun Yat-Sen University, Guangzhou, 510275, PR China
| | - Jiajun Zhang
- Key Laboratory of Computational Mathematics, Guangdong Province, PR China; School of Mathematics, Sun Yat-Sen University, Guangzhou, 510275, PR China
| | - Huahai Qiu
- School of Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, 430200, PR China.
| | - Tianshou Zhou
- Key Laboratory of Computational Mathematics, Guangdong Province, PR China; School of Mathematics, Sun Yat-Sen University, Guangzhou, 510275, PR China.
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47
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Lisy S, Rothamel K, Perevalova-Pinzul Y, Ascano M. PAR-dCLIP: Enabling detection of RNA binding protein target transcripts bound at 5' termini through the incorporation of a decapping step. Methods Enzymol 2024; 705:159-222. [PMID: 39389663 PMCID: PMC12010692 DOI: 10.1016/bs.mie.2024.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
Abstract
RNA binding proteins (RBPs) are responsible for facilitating a wealth of post-transcriptional gene regulatory functions. The role of an RBP on regulated transcripts can be investigated through a pull-down of the RBP and high-throughput sequencing (HTS) of the associated transcripts. Photoactivatable Ribonucleoside-Enhanced Crosslinking and Immunoprecipitation (PAR-CLIP), is one such pull-down method that isolates, detects, and sequences the cDNA of RBP-associated transcripts. PAR-CLIP relies on a photoactivatable ribonucleoside analogue, 4-thiouridine, to facilitate covalent RNA-protein crosslinks at 365 nm. These crosslinks permit stringent wash conditions and result in T to C mismatch incorporations during reverse transcription, a unique parameter for the computational analysis of high-confidence binding sites. However, until now, RBPs that bind at the 5'-termini of RNAs have been uniquely restricted from the full potential bandwidth of autoradiographic detection and HTS library preparation. The 5'-termini of RNAs are highly modified, including the most common Pol-II derived modification: the 7-methylguanosine (m7G) cap. In the conventional PAR-CLIP protocol, cap-binding proteins protect the m7G cap from the RNase treatment that generates the necessary substrate for autoradiographic detection and 5' adapter ligation-thus occluding entire populations of RNA from visualization and HTS. Here, we introduce decapping-PAR-CLIP or PAR-dCLIP. We incorporate a decapping step into the PAR-CLIP protocol to generate the necessary substrate to sequence m7G capped transcripts. While PAR-dCLIP was originally targeted towards known m7G-cap binding proteins, we argue that all RBP inquiries, and particularly those suspected to regulate translation, should incorporate this decapping step to ensure that all possible populations of bound transcripts are identified.
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Affiliation(s)
- Samantha Lisy
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Katherine Rothamel
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, United States; Center for RNA Technologies and Therapeutics, University of California San Diego, La Jolla, CA, United States
| | - Yelena Perevalova-Pinzul
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Manuel Ascano
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, United States; Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, United States.
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48
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Schynkel T, Snippenberg WV, Verniers K, Jang GM, Krogan NJ, Mestdagh P, Vandekerckhove L, Trypsteen W. Interactome of the HIV-1 proteome and human host RNA. EMBO Rep 2024; 25:4078-4090. [PMID: 39122863 PMCID: PMC11387401 DOI: 10.1038/s44319-024-00222-6] [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: 11/09/2023] [Revised: 07/18/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
The human immunodeficiency virus (HIV-1) is highly dependent on a variety of host factors. Beside proteins, host RNA molecules are reported to aid HIV-1 replication and latency maintenance. Here, we implement multiple workflows of native RNA immunoprecipitation and sequencing (nRIPseq) to determine direct host RNA interaction partners of all 18 HIV-1 (poly)proteins. We identify 1,727 HIV-1 protein - human RNA interactions in the Jurkat cell line and 1,558 interactions in SupT1 cells for a subset of proteins, and discover distinct cellular pathways that seem to be used or controlled by HIV-1 on the RNA level: Tat binds mRNAs of proteins involved in the super elongation complex (AFF1-4, Cyclin-T1). Correlation of the interaction scores (based on binding abundancy) allows identifying the highest confidence interactions, for which we perform a small-scale knockdown screen that leads to the identification of three HIV-1 protein binding RNA interactors involved in HIV-1 replication (AFF2, H4C9 and RPLP0).
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Affiliation(s)
- Tinus Schynkel
- HIV Cure Research Center, Department of Internal Medicine and Pediatrics, Ghent University and Ghent University Hospital, Ghent, 9000, Belgium
| | - Willem van Snippenberg
- HIV Cure Research Center, Department of Internal Medicine and Pediatrics, Ghent University and Ghent University Hospital, Ghent, 9000, Belgium
- OncoRNALab, Center for Medical Genetics (CMGG), Ghent University, Ghent, 9000, Belgium
| | - Kimberly Verniers
- OncoRNALab, Center for Medical Genetics (CMGG), Ghent University, Ghent, 9000, Belgium
| | - Gwendolyn M Jang
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
| | - Nevan J Krogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, 94158, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
| | - Pieter Mestdagh
- OncoRNALab, Center for Medical Genetics (CMGG), Ghent University, Ghent, 9000, Belgium
| | - Linos Vandekerckhove
- HIV Cure Research Center, Department of Internal Medicine and Pediatrics, Ghent University and Ghent University Hospital, Ghent, 9000, Belgium.
| | - Wim Trypsteen
- HIV Cure Research Center, Department of Internal Medicine and Pediatrics, Ghent University and Ghent University Hospital, Ghent, 9000, Belgium.
- OncoRNALab, Center for Medical Genetics (CMGG), Ghent University, Ghent, 9000, Belgium.
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49
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Lyu R, Gao Y, Wu T, Ye C, Wang P, He C. Quantitative analysis of cis-regulatory elements in transcription with KAS-ATAC-seq. Nat Commun 2024; 15:6852. [PMID: 39127768 PMCID: PMC11316786 DOI: 10.1038/s41467-024-50680-8] [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: 03/06/2024] [Accepted: 07/18/2024] [Indexed: 08/12/2024] Open
Abstract
Cis-regulatory elements (CREs) are pivotal in orchestrating gene expression throughout diverse biological systems. Accurate identification and in-depth characterization of functional CREs are crucial for decoding gene regulation networks during cellular processes. In this study, we develop Kethoxal-Assisted Single-stranded DNA Assay for Transposase-Accessible Chromatin with Sequencing (KAS-ATAC-seq) to quantitatively analyze the transcriptional activity of CREs. A main advantage of KAS-ATAC-seq lies in its precise measurement of ssDNA levels within both proximal and distal ATAC-seq peaks, enabling the identification of transcriptional regulatory sequences. This feature is particularly adept at defining Single-Stranded Transcribing Enhancers (SSTEs). SSTEs are highly enriched with nascent RNAs and specific transcription factors (TFs) binding sites that define cellular identity. Moreover, KAS-ATAC-seq provides a detailed characterization and functional implications of various SSTE subtypes. Our analysis of CREs during mouse neural differentiation demonstrates that KAS-ATAC-seq can effectively identify immediate-early activated CREs in response to retinoic acid (RA) treatment. Our findings indicate that KAS-ATAC-seq provides more precise annotation of functional CREs in transcription. Future applications of KAS-ATAC-seq would help elucidate the intricate dynamics of gene regulation in diverse biological processes.
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Affiliation(s)
- Ruitu Lyu
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA.
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, 60637, USA.
- Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA.
| | - Yun Gao
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, 60637, USA
- Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA
| | - Tong Wu
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, 60637, USA
- Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA
| | - Chang Ye
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, 60637, USA
- Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA
| | - Pingluan Wang
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, 60637, USA
- Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA
| | - Chuan He
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA.
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, 60637, USA.
- Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA.
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, 60637, USA.
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O’Brien MJ, Schrader JM, Ansari A. TFIIB-Termination Factor Interaction Affects Termination of Transcription on Genome-Wide Scale. Int J Mol Sci 2024; 25:8643. [PMID: 39201330 PMCID: PMC11354755 DOI: 10.3390/ijms25168643] [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: 07/05/2024] [Revised: 08/02/2024] [Accepted: 08/06/2024] [Indexed: 09/02/2024] Open
Abstract
Apart from its well-established role in the initiation of transcription, the general transcription factor TFIIB has been implicated in the termination step as well. The ubiquity of TFIIB involvement in termination as well as mechanistic details of its termination function, however, remain largely unexplored. Using GRO-seq analyses, we compared the terminator readthrough phenotype in the sua7-1 mutant (TFIIBsua7-1) and the isogenic wild type (TFIIBWT) strains. Approximately 74% of genes analyzed exhibited a 2-3-fold increase in readthrough of the poly(A)-termination signal in the TFIIBsua7-1 mutant compared to TFIIBWT cells. To understand the mechanistic basis of TFIIB's role in termination, we performed the mass spectrometry of TFIIB-affinity purified from chromatin and soluble cellular fractions-from TFIIBsua7-1 and TFIIBWT cells. TFIIB purified from the chromatin fraction of TFIIBWT cells exhibited significant enrichment of CF1A and Rat1 termination complexes. There was, however, a drastic decrease in TFIIB interaction with CF1A and Rat1 complexes in the TFIIBsua7-1 mutant. ChIP assays revealed about a 90% decline in the recruitment of termination factors in the TFIIBsua7-1 mutant compared to wild type cells. The overall conclusion of these results is that TFIIB affects the termination of transcription on a genome-wide scale, and the TFIIB-termination factor interaction plays a crucial role in the process.
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Affiliation(s)
| | | | - Athar Ansari
- Department of Biological Science, 5047 Gullen Mall, Wayne State University, Detroit, MI 48202, USA; (M.J.O.); (J.M.S.)
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