Epigenomic Translocation of H3k4me3 Broad Domains Following Super-Enhancer Hijacking
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DNA Methylation Regulates Discrimination of Enhancers From
Sharifi-Zarchi et al. BMC Genomics (2017) 18:964 DOI 10.1186/s12864-017-4353-7 RESEARCHARTICLE Open Access DNA methylation regulates discrimination of enhancers from promoters through a H3K4me1-H3K4me3 seesaw mechanism Ali Sharifi-Zarchi1,2,3,4†, Daniela Gerovska5†, Kenjiro Adachi6, Mehdi Totonchi3, Hamid Pezeshk7,8, Ryan J. Taft9, Hans R. Schöler6,10, Hamidreza Chitsaz2, Mehdi Sadeghi8,11, Hossein Baharvand3,12* and Marcos J. Araúzo-Bravo5,13,14* Abstract Background: DNA methylation at promoters is largely correlated with inhibition of gene expression. However, the role of DNA methylation at enhancers is not fully understood, although a crosstalk with chromatin marks is expected. Actually, there exist contradictory reports about positive and negative correlations between DNA methylation and H3K4me1, a chromatin hallmark of enhancers. Results: We investigated the relationship between DNA methylation and active chromatin marks through genome- wide correlations, and found anti-correlation between H3K4me1 and H3K4me3 enrichment at low and intermediate DNA methylation loci. We hypothesized “seesaw” dynamics between H3K4me1 and H3K4me3 in the low and intermediate DNA methylation range, in which DNA methylation discriminates between enhancers and promoters, marked by H3K4me1 and H3K4me3, respectively. Low methylated regions are H3K4me3 enriched, while those with intermediate DNA methylation levels are progressively H3K4me1 enriched. Additionally, the enrichment of H3K27ac, distinguishing active from primed enhancers, follows a plateau in the lower range of the intermediate DNA methylation level, corresponding to active enhancers, and decreases linearly in the higher range of the intermediate DNA methylation. Thus, the decrease of the DNA methylation switches smoothly the state of the enhancers from a primed to an active state. -
The International Human Epigenome Consortium (IHEC): a Blueprint for Scientific Collaboration and Discovery
The International Human Epigenome Consortium (IHEC): A Blueprint for Scientific Collaboration and Discovery Hendrik G. Stunnenberg1#, Martin Hirst2,3,# 1Department of Molecular Biology, Faculties of Science and Medicine, Radboud University, Nijmegen, The Netherlands 2Department of Microbiology and Immunology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada V6T 1Z4. 3Canada’s Michael Smith Genome Science Center, BC Cancer Agency, Vancouver, BC, Canada V5Z 4S6 #Corresponding authors [email protected] [email protected] Abstract The International Human Epigenome Consortium (IHEC) coordinates the generation of a catalogue of high-resolution reference epigenomes of major primary human cell types. The studies now presented (cell.com/XXXXXXX) highlight the coordinated achievements of IHEC teams to gather and interpret comprehensive epigenomic data sets to gain insights in the epigenetic control of cell states relevant for human health and disease. One of the great mysteries in developmental biology is how the same genome can be read by cellular machinery to generate the plethora of different cell types required for eukaryotic life. As appreciation grew for the central roles of transcriptional and epigenetic mechanisms in specification of cellular fates and functions, researchers around the world encouraged scientific funding agencies to develop an organized and standardized effort to exploit epigenomic assays to shed additional light on this process (Beck, Olek et al. 1999, Jones and Martienssen 2005, American Association for Cancer Research Human Epigenome Task and European Union 2008). In March 2009, leading scientists and international health research funding agency representatives were invited to a meeting in Bethesda (MD, USA) to gauge the level of interest in an international epigenomics project and to identify potential areas of focus. -
Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin
cells Review Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin Agnieszka Bochy ´nska,Juliane Lüscher-Firzlaff and Bernhard Lüscher * ID Institute of Biochemistry and Molecular Biology, Medical School, RWTH Aachen University, Pauwelsstrasse 30, 52057 Aachen, Germany; [email protected] (A.B.); jluescher-fi[email protected] (J.L.-F.) * Correspondence: [email protected]; Tel.: +49-241-8088850; Fax: +49-241-8082427 Received: 18 January 2018; Accepted: 27 February 2018; Published: 2 March 2018 Abstract: Regulation of gene expression is achieved by sequence-specific transcriptional regulators, which convey the information that is contained in the sequence of DNA into RNA polymerase activity. This is achieved by the recruitment of transcriptional co-factors. One of the consequences of co-factor recruitment is the control of specific properties of nucleosomes, the basic units of chromatin, and their protein components, the core histones. The main principles are to regulate the position and the characteristics of nucleosomes. The latter includes modulating the composition of core histones and their variants that are integrated into nucleosomes, and the post-translational modification of these histones referred to as histone marks. One of these marks is the methylation of lysine 4 of the core histone H3 (H3K4). While mono-methylation of H3K4 (H3K4me1) is located preferentially at active enhancers, tri-methylation (H3K4me3) is a mark found at open and potentially active promoters. Thus, H3K4 methylation is typically associated with gene transcription. The class 2 lysine methyltransferases (KMTs) are the main enzymes that methylate H3K4. KMT2 enzymes function in complexes that contain a necessary core complex composed of WDR5, RBBP5, ASH2L, and DPY30, the so-called WRAD complex. -
Modeling of Histone Modifications Reveals Formation Mechanism and Function of Bivalent Chromatin
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.03.429504; this version posted February 3, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Modeling of histone modifications reveals formation mechanism and function of bivalent chromatin Wei Zhao1,2, Lingxia Qiao1, Shiyu Yan2, Qing Nie3,*, Lei Zhang1,2,* 1 Beijing International Center for Mathematical Research, Peking University, Beijing 100871, China 2 Center for Quantitative Biology, Peking University, Beijing 100871, China 3 Department of Mathematics and Department of Developmental and Cell Biology, University of California Irvine, Irvine, CA 92697, USA. *Corresponding authors: Qing Nie, email: [email protected]; Lei Zhang, email: [email protected] Abstract Bivalent chromatin is characterized by occupation of both activating histone modifications and repressive histone modifications. While bivalent chromatin is known to link with many biological processes, the mechanisms responsible for its multiple functions remain unclear. Here, we develop a mathematical model that involves antagonistic histone modifications H3K4me3 and H3K27me3 to capture the key features of bivalent chromatin. Three necessary conditions for the emergence of bivalent chromatin are identified, including advantageous methylating activity over demethylating activity, frequent noise conversions of modifications, and sufficient nonlinearity. The first condition is further confirmed by analyzing the -
Epigenetic Regulation of Promiscuous Gene Expression in Thymic Medullary Epithelial Cells
Epigenetic regulation of promiscuous gene expression in thymic medullary epithelial cells Lars-Oliver Tykocinskia,1,2, Anna Sinemusa,1, Esmail Rezavandya, Yanina Weilandb, David Baddeleyb, Christoph Cremerb, Stephan Sonntagc, Klaus Willeckec, Jens Derbinskia, and Bruno Kyewskia,3 aDivision of Developmental Immunology, Tumor Immunology Program, German Cancer Research Center, D-69120 Heidelberg, Germany; bKirchhoff Institute for Physics, University of Heidelberg, D-69120 Heidelberg, Germany; and cInstitute for Genetics, University of Bonn, D-53117 Bonn, Germany Edited* by Philippa Marrack, National Jewish Health, Denver, CO, and approved September 28, 2010 (received for review July 2, 2010) Thymic central tolerance comprehensively imprints the T-cell re- ing of delimited regions allowing access of general and specific ceptor repertoire before T cells seed the periphery. Medullary transcriptional factors to act on gene-specific control elements thymic epithelial cells (mTECs) play a pivotal role in this process by (8). This scenario is clearly different from the intricate regulation virtue of promiscuous expression of tissue-restricted autoantigens. of functionally related gene families like the Hox gene locus or β The molecular regulation of this unusual gene expression, in the -globin gene locus (9). A similar phenomenon as observed in Drosophila particular the involvement of epigenetic mechanisms is only poorly has been reported for housekeeping genes but not for understood. By studying promiscuous expression of the mouse TRAs in vertebrates (10). casein locus, we report that transcription of this locus proceeds Here we analyzed the interrelationship between emerging gene expression patterns at the single cell level, promoter-associated from a delimited region (“entry site”) to increasingly complex pat- epigenetic marks, and the differentiation of mTECs in the murine terns along with mTEC maturation. -
A Machine Learning Framework for Precise 3D Domain Boundary Prediction at Base-Level Resolution
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.03.282186; this version posted September 29, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. preciseTAD: A machine learning framework for precise 3D domain boundary prediction at base-level resolution Spiro C. Stilianoudakis1 ([email protected]), Mikhail G. Dozmorov1* (mikhail.dozmorov@ vcuhealth.org) 1 Dept. of Biostatistics, Virginia Commonwealth University, Richmond, VA, 23298, USA * To whom correspondence should be addressed Abstract The low resolution of high-throughput chromatin conformation capture data limits the precise mapping of boundaries of topologically associating domains and chromatin loops. We developed preciseTAD, an optimized random forest model trained on high-resolution genome annotation data (e.g., CTCF ChIP- seq) to predict the location of domain boundaries at base-level resolution. Distance between boundaries and annotations, random under-sampling, and transcription factor binding sites resulted in best model performance. preciseTAD boundaries were more enriched for CTCF, RAD21, SMC3, and ZNF143, and conserved across cell lines. Using genome annotations, pre-trained models can detect boundaries in cells without Hi-C data. preciseTAD is available at https://bioconductor.org/packages/preciseTAD Keywords Hi-C, TAD, machine learning, random forest, DBSCAN Background The advent of chromosome conformation capture (3C) sequencing technologies, and its successor Hi-C, have revealed a hierarchy of the 3-dimensional (3D) structure of the human genome such as chromatin loops [1], Topologically Associating Domains (TADs) [2,3], and A/B compartments [4]. -
H3k4me3 Is Neither Instructive For, Nor Informed By, Transcription
bioRxiv preprint first posted online Jul. 19, 2019; doi: http://dx.doi.org/10.1101/709014. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. H3K4me3 is neither instructive for, nor informed by, transcription. Struan C Murray1, Philipp Lorenz1, Françoise S Howe1, Meredith Wouters1, Thomas Brown1, Shidong Xi1, Harry Fischl1, Walaa Khushaim1, Joseph Regish Rayappu1, Andrew Angel1 & Jane Mellor1* 1Department of Biochemistry, University of Oxford, Oxford, OX1 3QU, UK. *Corresponding author. Tel: +44 1865 613241; E-mail: [email protected] Key words histone modification; gene regulation; H3K4me3; chromatin; RNA polymerase Abstract H3K4me3 is a near-universal histone modification found predominantly at the 5’ region of genes, with a well-documented association with gene activity. H3K4me3 has been ascribed roles as both an instructor of gene expression and also a downstream consequence of expression, yet neither has been convincingly proven on a genome-wide scale. Here we test these relationships using a combination of bioinformatics, modelling and experimental data from budding yeast in which the levels of H3K4me3 have been massively ablated. We find that loss of H3K4me3 has no effect on the levels of nascent transcription or transcript in the population. Moreover, we observe no change in the rates of transcription initiation, elongation, mRNA export or turnover, or in protein levels, or cell-to-cell variation of mRNA. Loss of H3K4me3 also has no effect on the large changes in gene expression patterns that follow galactose induction. -
Dual Recognition of H3k4me3 and H3k27me3 by a Plant Histone Reader SHL
ARTICLE DOI: 10.1038/s41467-018-04836-y OPEN Dual recognition of H3K4me3 and H3K27me3 by a plant histone reader SHL Shuiming Qian1,2, Xinchen Lv3,4, Ray N. Scheid1,2,LiLu1,2, Zhenlin Yang3,4, Wei Chen3, Rui Liu3, Melissa D. Boersma2, John M. Denu2,5,6, Xuehua Zhong 1,2 & Jiamu Du 3 The ability of a cell to dynamically switch its chromatin between different functional states constitutes a key mechanism regulating gene expression. Histone mark “readers” display 1234567890():,; distinct binding specificity to different histone modifications and play critical roles in reg- ulating chromatin states. Here, we show a plant-specific histone reader SHORT LIFE (SHL) capable of recognizing both H3K27me3 and H3K4me3 via its bromo-adjacent homology (BAH) and plant homeodomain (PHD) domains, respectively. Detailed biochemical and structural studies suggest a binding mechanism that is mutually exclusive for either H3K4me3 or H3K27me3. Furthermore, we show a genome-wide co-localization of SHL with H3K27me3 and H3K4me3, and that BAH-H3K27me3 and PHD-H3K4me3 interactions are important for SHL-mediated floral repression. Together, our study establishes BAH-PHD cassette as a dual histone methyl-lysine binding module that is distinct from others in recognizing both active and repressive histone marks. 1 Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706, USA. 2 Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI 53706, USA. 3 National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Center for Plant Stress Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 201602, China. -
Chromatin Dynamics During DNA Replication Raz Bar-Ziv*, Yoav Voichek* and Naama Barkai†
Downloaded from genome.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Chromatin Dynamics during DNA Replication Raz Bar-Ziv*, Yoav Voichek* and Naama Barkai† Affiliations: Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel. *these authors contributed equally to the manuscript †Correspondence to: [email protected] Keywords: Chromatin; Replication; Summary: Chromatin is composed of DNA and histones, which provide a unified platform for regulating DNA-related processes, mostly through their post translational modification. During DNA replication, histone arrangement is perturbed, to first allow progression of DNA polymerase and then during repackaging of the replicated DNA. To study how DNA replication influences the pattern of histone modification, we followed the cell-cycle dynamics of ten histone marks in budding yeast. We find that histones deposited on newly replicated DNA are modified at different rates; while some marks appear immediately upon replication (e.g. H4K16ac, H3K4me1), others increase with transcription-dependent delays (e.g. H3K4me3, H3K36me3). Notably, H3K9ac was deposited as a wave preceding the replication fork by ~5-6 kb. This replication-guided H3K9ac was fully dependent on the acetyltransferase Rtt109, while expression-guided H3K9ac was deposited by Gcn5. Further, topoisomerase depletion intensified H3K9ac in front of the replication fork, and in sites where RNA polymerase II was trapped, suggesting supercoiling stresses trigger H3K9 acetylation. Our results assign complementary roles for DNA replication and gene expression in defining the pattern of histone modification. Introduction: In eukaryotic cells, DNA is wrapped around histone octamers to form nucleosomes, the basic building blocks of the chromatin structure. -
Generative Modeling of Multi-Mapping Reads with Mhi-C Advances Analysis of Hi-C Studies Ye Zheng1, Ferhat Ay2,3, Sunduz Keles1,4*
TOOLS AND RESOURCES Generative modeling of multi-mapping reads with mHi-C advances analysis of Hi-C studies Ye Zheng1, Ferhat Ay2,3, Sunduz Keles1,4* 1Department of Statistics, University of Wisconsin-Madison, Madison, United States; 2La Jolla Institute for Allergy and Immunology, La Jolla, United States; 3School of Medicine, University of California, San Diego, La Jolla, United States; 4Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, United States Abstract Current Hi-C analysis approaches are unable to account for reads that align to multiple locations, and hence underestimate biological signal from repetitive regions of genomes. We developed and validated mHi-C, a multi-read mapping strategy to probabilistically allocate Hi-C multi-reads. mHi-C exhibited superior performance over utilizing only uni-reads and heuristic approaches aimed at rescuing multi-reads on benchmarks. Specifically, mHi-C increased the sequencing depth by an average of 20% resulting in higher reproducibility of contact matrices and detected interactions across biological replicates. The impact of the multi-reads on the detection of significant interactions is influenced marginally by the relative contribution of multi-reads to the sequencing depth compared to uni-reads, cis-to-trans ratio of contacts, and the broad data quality as reflected by the proportion of mappable reads of datasets. Computational experiments highlighted that in Hi-C studies with short read lengths, mHi-C rescued multi-reads can emulate the effect of longer reads. mHi-C also revealed biologically supported bona fide promoter-enhancer interactions and topologically associating domains involving repetitive genomic regions, thereby *For correspondence: unlocking a previously masked portion of the genome for conformation capture studies. -
Next Generation Sequencing: Advances in Characterizing the Methylome
Genes 2010, 1, 143-165; doi:10.3390/genes1020143 OPEN ACCESS genes ISSN 2073-4425 www.mdpi.com/journal/genes Review Next Generation Sequencing: Advances in Characterizing the Methylome Kristen H. Taylor 1, Huidong Shi 2 and Charles W. Caldwell 1,* 1 University of Missouri-Columbia School of Medicine, Ellis Fischel Cancer Center, Columbia, MO 65212, USA; E-Mail: [email protected] 2 Medical College of Georgia, Augusta, GA 30912, USA; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-573-882-1283; Fax: +1-573-884-4612. Received: 3 May 2010; in revised form: 22 June 2010 / Accepted: 28 June 2010 / Published: 1 July 2010 Abstract: Epigenetic modifications play an important role in lymphoid malignancies. This has been evidenced by the large body of work published using microarray technologies to generate methylation profiles for numerous types and subtypes of lymphoma and leukemia. These studies have shown the importance of defining the epigenome so that we can better understand the biology of lymphoma. Recent advances in DNA sequencing technology have transformed the landscape of epigenomic analysis as we now have the ability to characterize the genome-wide distribution of chromatin modifications and DNA methylation using next-generation sequencing. To take full advantage of the throughput of next-generation sequencing, there are many methodologies that have been developed and many more that are currently being developed. Choosing the appropriate methodology is fundamental to the outcome of next-generation sequencing studies. In this review, published technologies and methodologies applicable to studying the methylome are presented. -
Histone H3Q5 Serotonylation Stabilizes H3K4 Methylation and Potentiates Its Readout
Histone H3Q5 serotonylation stabilizes H3K4 methylation and potentiates its readout Shuai Zhaoa,1, Kelly N. Chuhb,1, Baichao Zhanga,1, Barbara E. Dulb, Robert E. Thompsonb, Lorna A. Farrellyc,d, Xiaohui Liue, Ning Xue, Yi Xuee, Robert G. Roederf, Ian Mazec,d,2, Tom W. Muirb,2, and Haitao Lia,g,2 aMinistry of Education Key Laboratory of Protein Sciences, Beijing Advanced Innovation Center for Structural Biology, Beijing Frontier Research Center for Biological Structure, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; bDepartment of Chemistry, Princeton University, Princeton, NJ 08540; cNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029; dDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029; eNational Protein Science Technology Center, School of Life Sciences, Tsinghua University, Beijing 100084, China; fLaboratory of Biochemistry and Molecular Biology, The Rockefeller University, New York, NY 10065; and gTsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China Edited by Peter Cheung, York University, Toronto, ON, Canada, and accepted by Editorial Board Member Karolin Luger November 12, 2020 (received for review August 7, 2020) Serotonylation of glutamine 5 on histone H3 (H3Q5ser) was recently established that H3K4me3 regulates gene expression through re- identified as a permissive posttranslational modification that coexists cruitment of nuclear factors that contain reader domains specific with adjacent lysine 4 trimethylation (H3K4me3). While the resulting for the mark. These include ATP-dependent chromatin remod- dual modification, H3K4me3Q5ser, is enriched at regions of active eling enzymes, as well as several transcription factors (13).