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Kocher AA, Dutrow EV, Uebbing S, Yim KM, Rosales Larios MF, Baumgartner M, Nottoli T, Noonan JP. CpG island turnover events predict evolutionary changes in enhancer activity. Genome Biol 2024; 25:156. [PMID: 38872220 PMCID: PMC11170920 DOI: 10.1186/s13059-024-03300-z] [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: 06/01/2023] [Accepted: 06/04/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Genetic changes that modify the function of transcriptional enhancers have been linked to the evolution of biological diversity across species. Multiple studies have focused on the role of nucleotide substitutions, transposition, and insertions and deletions in altering enhancer function. CpG islands (CGIs) have recently been shown to influence enhancer activity, and here we test how their turnover across species contributes to enhancer evolution. RESULTS We integrate maps of CGIs and enhancer activity-associated histone modifications obtained from multiple tissues in nine mammalian species and find that CGI content in enhancers is strongly associated with increased histone modification levels. CGIs show widespread turnover across species and species-specific CGIs are strongly enriched for enhancers exhibiting species-specific activity across all tissues and species. Genes associated with enhancers with species-specific CGIs show concordant biases in their expression, supporting that CGI turnover contributes to gene regulatory innovation. Our results also implicate CGI turnover in the evolution of Human Gain Enhancers (HGEs), which show increased activity in human embryonic development and may have contributed to the evolution of uniquely human traits. Using a humanized mouse model, we show that a highly conserved HGE with a large CGI absent from the mouse ortholog shows increased activity at the human CGI in the humanized mouse diencephalon. CONCLUSIONS Collectively, our results point to CGI turnover as a mechanism driving gene regulatory changes potentially underlying trait evolution in mammals.
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Affiliation(s)
- Acadia A Kocher
- Department of Genetics, Yale School of Medicine, New Haven, CT, 06510, USA
- Division of Molecular Genetics and Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Emily V Dutrow
- Department of Genetics, Yale School of Medicine, New Haven, CT, 06510, USA
- Zoetis, Inc, 333 Portage St, Kalamazoo, MI, 49007, USA
| | - Severin Uebbing
- Department of Genetics, Yale School of Medicine, New Haven, CT, 06510, USA
- Genome Biology and Epigenetics, Institute of Biodynamics and Biocomplexity, Department of Biology, Utrecht University, Utrecht, The Netherlands
| | - Kristina M Yim
- Department of Genetics, Yale School of Medicine, New Haven, CT, 06510, USA
| | | | | | - Timothy Nottoli
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, 06510, USA
- Yale Genome Editing Center, Yale School of Medicine, New Haven, CT, 06510, USA
| | - James P Noonan
- Department of Genetics, Yale School of Medicine, New Haven, CT, 06510, USA.
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06520, USA.
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA.
- Wu Tsai Institute, Yale University, New Haven, CT, 06510, USA.
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Castillo H, Hanna P, Sachs LM, Buisine N, Godoy F, Gilbert C, Aguilera F, Muñoz D, Boisvert C, Debiais-Thibaud M, Wan J, Spicuglia S, Marcellini S. Xenopus tropicalis osteoblast-specific open chromatin regions reveal promoters and enhancers involved in human skeletal phenotypes and shed light on early vertebrate evolution. Cells Dev 2024:203924. [PMID: 38692409 DOI: 10.1016/j.cdev.2024.203924] [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: 03/09/2024] [Revised: 04/18/2024] [Accepted: 04/26/2024] [Indexed: 05/03/2024]
Abstract
While understanding the genetic underpinnings of osteogenesis has far-reaching implications for skeletal diseases and evolution, a comprehensive characterization of the osteoblastic regulatory landscape in non-mammalian vertebrates is still lacking. Here, we compared the ATAC-Seq profile of Xenopus tropicalis (Xt) osteoblasts to a variety of non mineralizing control tissues, and identified osteoblast-specific nucleosome free regions (NFRs) at 527 promoters and 6747 distal regions. Sequence analyses, Gene Ontology, RNA-Seq and ChIP-Seq against four key histone marks confirmed that the distal regions correspond to bona fide osteogenic transcriptional enhancers exhibiting a shared regulatory logic with mammals. We report 425 regulatory regions conserved with human and globally associated to skeletogenic genes. Of these, 35 regions have been shown to impact human skeletal phenotypes by GWAS, including one trps1 enhancer and the runx2 promoter, two genes which are respectively involved in trichorhinophalangeal syndrome type I and cleidocranial dysplasia. Intriguingly, 60 osteoblastic NFRs also align to the genome of the elephant shark, a species lacking osteoblasts and bone tissue. To tackle this paradox, we chose to focus on dlx5 because its conserved promoter, known to integrate regulatory inputs during mammalian osteogenesis, harbours an osteoblast-specific NFR in both frog and human. Hence, we show that dlx5 is expressed in Xt and elephant shark odontoblasts, supporting a common cellular and genetic origin of bone and dentine. Taken together, our work (i) unravels the Xt osteogenic regulatory landscape, (ii) illustrates how cross-species comparisons harvest data relevant to human biology and (iii) reveals that a set of genes including bnc2, dlx5, ebf3, mir199a, nfia, runx2 and zfhx4 drove the development of a primitive form of mineralized skeletal tissue deep in the vertebrate lineage.
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Affiliation(s)
- Héctor Castillo
- Group for the Study of Developmental Processes (GDeP), School of Biological Sciences, University of Concepción, Chile.
| | - Patricia Hanna
- Group for the Study of Developmental Processes (GDeP), School of Biological Sciences, University of Concepción, Chile
| | - Laurent M Sachs
- UMR7221, Physiologie Moléculaire et Adaptation, CNRS, MNHN, Paris Cedex 05, France
| | - Nicolas Buisine
- UMR7221, Physiologie Moléculaire et Adaptation, CNRS, MNHN, Paris Cedex 05, France
| | - Francisco Godoy
- Group for the Study of Developmental Processes (GDeP), School of Biological Sciences, University of Concepción, Chile
| | - Clément Gilbert
- Université Paris-Saclay, CNRS, IRD, UMR Évolution, Génomes, Comportement et Écologie, 12 route 128, 91190 Gif-sur-Yvette, France
| | - Felipe Aguilera
- Group for the Study of Developmental Processes (GDeP), School of Biological Sciences, University of Concepción, Chile
| | - David Muñoz
- Group for the Study of Developmental Processes (GDeP), School of Biological Sciences, University of Concepción, Chile
| | - Catherine Boisvert
- School of Molecular and Life Sciences, Curtin University, Perth, WA, Australia
| | - Mélanie Debiais-Thibaud
- Institut des Sciences de l'Evolution de Montpellier, ISEM, Univ Montpellier, CNRS, IRD, Montpellier, France
| | - Jing Wan
- Aix-Marseille University, INSERM, TAGC, UMR 1090, Marseille, France; Equipe Labelisée LIGUE contre le Cancer, Marseille, France
| | - Salvatore Spicuglia
- Aix-Marseille University, INSERM, TAGC, UMR 1090, Marseille, France; Equipe Labelisée LIGUE contre le Cancer, Marseille, France
| | - Sylvain Marcellini
- Group for the Study of Developmental Processes (GDeP), School of Biological Sciences, University of Concepción, Chile.
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3
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Mir BA, Rehman MU, Tayara H, Chong KT. Improving Enhancer Identification with a Multi-Classifier Stacked Ensemble Model. J Mol Biol 2023; 435:168314. [PMID: 37852600 DOI: 10.1016/j.jmb.2023.168314] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 10/20/2023]
Abstract
Enhancers are DNA regions that are responsible for controlling the expression of genes. Enhancers are usually found upstream or downstream of a gene, or even inside a gene's intron region, but are normally located at a distant location from the genes they control. By integrating experimental and computational approaches, it is possible to uncover enhancers within DNA sequences, which possess regulatory properties. Experimental techniques such as ChIP-seq and ATAC-seq can identify genomic regions that are associated with transcription factors or accessible to regulatory proteins. On the other hand, computational techniques can predict enhancers based on sequence features and epigenetic modifications. In our study, we have developed a multi-classifier stacked ensemble (MCSE-enhancer) model that can accurately identify enhancers. We utilized feature descriptors from various physiochemical properties as input for our six baseline classifiers and built a stacked classifier, which outperformed previous enhancer classification techniques in terms of accuracy, specificity, sensitivity, and Mathew's correlation coefficient. Our model achieved an accuracy of 81.5%, representing a 2-3% improvement over existing models.
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Affiliation(s)
- Bilal Ahmad Mir
- Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, South Korea.
| | - Mobeen Ur Rehman
- Khalifa University Center for Autonomous Robotic Systems (KUCARS), Khalifa University, Abu Dhabi 127788, United Arab Emirates.
| | - Hilal Tayara
- School of international Engineering and Science, Jeonbuk National University, Jeonju 54896, South Korea.
| | - Kil To Chong
- Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, South Korea; Advances Electronics and Information Research Center, Jeonbuk National University, Jeonju 54896, South Korea.
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Karlebach G, Steinhaus R, Danis D, Devoucoux M, Anczuków O, Sheynkman G, Seelow D, Robinson PN. Alternative splicing is coupled to gene expression in a subset of variably expressed genes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.13.544742. [PMID: 37398049 PMCID: PMC10312658 DOI: 10.1101/2023.06.13.544742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Numerous factors regulate alternative splicing of human genes at a co-transcriptional level. However, how alternative splicing depends on the regulation of gene expression is poorly understood. We leveraged data from the Genotype-Tissue Expression (GTEx) project to show a significant association of gene expression and splicing for 6874 (4.9%) of 141,043 exons in 1106 (13.3%) of 8314 genes with substantially variable expression in ten GTEx tissues. About half of these exons demonstrate higher inclusion with higher gene expression, and half demonstrate higher exclusion, with the observed direction of coupling being highly consistent across different tissues and in external datasets. The exons differ with respect to sequence characteristics, enriched sequence motifs, RNA polymerase II binding, and inferred transcription rate of downstream introns. The exons were enriched for hundreds of isoform-specific Gene Ontology annotations, suggesting that the coupling of expression and alternative splicing described here may provide an important gene regulatory mechanism that might be used in a variety of biological contexts. In particular, higher inclusion exons could play an important role during cell division.
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Affiliation(s)
- Guy Karlebach
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Robin Steinhaus
- Exploratory Diagnostic Sciences, Berlin Institute of Health, 10117 Berlin, Germany
- Institute of Medical Genetics and Human Genetics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universitat Berlin and Humboldt-Universität zu Berlin, 13353 10117 Berlin, Germany
| | - Daniel Danis
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Maeva Devoucoux
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Olga Anczuków
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT 06032, USA
- Institute for Systems Genomics, University of Connecticut, Farmington, CT 06032, USA
| | - Gloria Sheynkman
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, Charlottesville, VA 22903, USA
| | - Dominik Seelow
- Exploratory Diagnostic Sciences, Berlin Institute of Health, 10117 Berlin, Germany
- Institute of Medical Genetics and Human Genetics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universitat Berlin and Humboldt-Universität zu Berlin, 13353 10117 Berlin, Germany
| | - Peter N Robinson
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, Charlottesville, VA 22903, USA
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Kocher AA, Dutrow EV, Uebbing S, Yim KM, Larios MFR, Baumgartner M, Nottoli T, Noonan JP. CpG island turnover events predict evolutionary changes in enhancer activity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.09.540063. [PMID: 37214934 PMCID: PMC10197647 DOI: 10.1101/2023.05.09.540063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Genetic changes that modify the function of transcriptional enhancers have been linked to the evolution of biological diversity across species. Multiple studies have focused on the role of nucleotide substitutions, transposition, and insertions and deletions in altering enhancer function. Here we show that turnover of CpG islands (CGIs), which contribute to enhancer activation, is broadly associated with changes in enhancer activity across mammals, including humans. We integrated maps of CGIs and enhancer activity-associated histone modifications obtained from multiple tissues in nine mammalian species and found that CGI content in enhancers was strongly associated with increased histone modification levels. CGIs showed widespread turnover across species and species-specific CGIs were strongly enriched for enhancers exhibiting species-specific activity across all tissues and species we examined. Genes associated with enhancers with species-specific CGIs showed concordant biases in their expression, supporting that CGI turnover contributes to gene regulatory innovation. Our results also implicate CGI turnover in the evolution of Human Gain Enhancers (HGEs), which show increased activity in human embryonic development and may have contributed to the evolution of uniquely human traits. Using a humanized mouse model, we show that a highly conserved HGE with a large CGI absent from the mouse ortholog shows increased activity at the human CGI in the humanized mouse diencephalon. Collectively, our results point to CGI turnover as a mechanism driving gene regulatory changes potentially underlying trait evolution in mammals.
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Affiliation(s)
- Acadia A. Kocher
- Department of Genetics, Yale School of Medicine, New Haven CT 06510, USA
| | - Emily V. Dutrow
- Department of Genetics, Yale School of Medicine, New Haven CT 06510, USA
- Present address: Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Severin Uebbing
- Department of Genetics, Yale School of Medicine, New Haven CT 06510, USA
| | - Kristina M. Yim
- Department of Genetics, Yale School of Medicine, New Haven CT 06510, USA
| | | | | | - Timothy Nottoli
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT 06510, USA
- Yale Genome Editing Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - James P. Noonan
- Department of Genetics, Yale School of Medicine, New Haven CT 06510, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, USA
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06510, USA
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Wang Q, Xiong F, Wu G, Liu W, Chen J, Wang B, Chen Y. Gene body methylation in cancer: molecular mechanisms and clinical applications. Clin Epigenetics 2022; 14:154. [PMID: 36443876 PMCID: PMC9706891 DOI: 10.1186/s13148-022-01382-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022] Open
Abstract
DNA methylation is an important epigenetic mechanism that regulates gene expression. To date, most DNA methylation studies have focussed on CpG islands in the gene promoter region, and the mechanism of methylation and the regulation of gene expression after methylation have been clearly elucidated. However, genome-wide methylation studies have shown that DNA methylation is widespread not only in promoters but also in gene bodies. Gene body methylation is widely involved in the expression regulation of many genes and is closely related to the occurrence and progression of malignant tumours. This review focusses on the formation of gene body methylation patterns, its regulation of transcription, and its relationship with tumours, providing clues to explore the mechanism of gene body methylation in regulating gene transcription and its significance and application in the field of oncology.
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Affiliation(s)
- Qi Wang
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Fei Xiong
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Guanhua Wu
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Wenzheng Liu
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Junsheng Chen
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Bing Wang
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
| | - Yongjun Chen
- grid.33199.310000 0004 0368 7223Department of Biliary-Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430074 Hubei Province China
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MIR retrotransposons link the epigenome and the transcriptome of coding genes in acute myeloid leukemia. Nat Commun 2022; 13:6524. [PMID: 36316347 PMCID: PMC9622910 DOI: 10.1038/s41467-022-34211-x] [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: 12/08/2021] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
DNMT3A and IDH1/2 mutations combinatorically regulate the transcriptome and the epigenome in acute myeloid leukemia; yet the mechanisms of this interplay are unknown. Using a systems approach within topologically associating domains, we find that genes with significant expression-methylation correlations are enriched in signaling and metabolic pathways. The common denominator across these methylation-regulated genes is the density in MIR retrotransposons of their introns. Moreover, a discrete number of CpGs overlapping enhancers are responsible for regulating most of these genes. Established mouse models recapitulate the dependency of MIR-rich genes on the balanced expression of epigenetic modifiers, while projection of leukemic profiles onto normal hematopoiesis ones further consolidates the dependencies of methylation-regulated genes on MIRs. Collectively, MIR elements on genes and enhancers are susceptible to changes in DNA methylation activity and explain the cooperativity of proteins in this pathway in normal and malignant hematopoiesis.
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Fang S, Liu S, Yang D, Yang L, Hu CD, Wan J. Decoding regulatory associations of G-quadruplex with epigenetic and transcriptomic functional components. Front Genet 2022; 13:957023. [PMID: 36092921 PMCID: PMC9452811 DOI: 10.3389/fgene.2022.957023] [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: 05/30/2022] [Accepted: 07/29/2022] [Indexed: 02/02/2023] Open
Abstract
G-quadruplex (G4) has been previously observed to be associated with gene expression. In this study, we performed integrative analysis on G4 multi-omics data from in-silicon prediction and ChIP-seq in human genome. Potential G4 sites were classified into three distinguished groups, such as one group of high-confidence G4-forming locations (G4-II) and groups only containing either ChIP-seq detected G4s (G4-I) or predicted G4 motif candidates (G4-III). We explored the associations of different-confidence G4 groups with other epigenetic regulatory elements, including CpG islands, chromatin status, enhancers, super-enhancers, G4 locations compared to the genes, and DNA methylation. Our elastic net regression model revealed that G4 structures could correlate with gene expression in two opposite ways depending on their locations to the genes as well as G4-forming DNA strand. Some transcription factors were identified to be over-represented with G4 emergence. The motif analysis discovered distinct consensus sequences enriched in the G4 feet, the flanking regions of two groups of G4s. We found high GC content in the feet of high-confidence G4s (G4-II) when compared to high TA content in solely predicted G4 feet of G4-III. Overall, we uncovered the comprehensive associations of G4 formations or predictions with other epigenetic and transcriptional elements which potentially coordinate gene transcription.
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Affiliation(s)
- Shuyi Fang
- Department of BioHealth Informatics, Indiana University School of Informatics and Computing, Indiana University—Purdue University Indianapolis, Indianapolis, IN, United States
| | - Sheng Liu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States,The Collaborative Core for Cancer Bioinformatics (CB) shared by Indiana University Simon Comprehensive Cancer Center and Purdue University Center for Cancer Research, Indianapolis, IN, United States
| | - Danzhou Yang
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, United States,Purdue University Center for Cancer Research, Purdue University, West Lafayette, IN, United States
| | - Lei Yang
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States,Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, United States,Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Chang-Deng Hu
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, United States,Purdue University Center for Cancer Research, Purdue University, West Lafayette, IN, United States
| | - Jun Wan
- Department of BioHealth Informatics, Indiana University School of Informatics and Computing, Indiana University—Purdue University Indianapolis, Indianapolis, IN, United States,Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States,The Collaborative Core for Cancer Bioinformatics (CB) shared by Indiana University Simon Comprehensive Cancer Center and Purdue University Center for Cancer Research, Indianapolis, IN, United States,Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, United States,*Correspondence: Jun Wan,
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Cain JA, Montibus B, Oakey RJ. Intragenic CpG Islands and Their Impact on Gene Regulation. Front Cell Dev Biol 2022; 10:832348. [PMID: 35223855 PMCID: PMC8873577 DOI: 10.3389/fcell.2022.832348] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/20/2022] [Indexed: 11/16/2022] Open
Abstract
The mammalian genome is depleted in CG dinucleotides, except at protected regions where they cluster as CpG islands (CGIs). CGIs are gene regulatory hubs and serve as transcription initiation sites and are as expected, associated with gene promoters. Advances in genomic annotations demonstrate that a quarter of CGIs are found within genes. Such intragenic regions are repressive environments, so it is surprising that CGIs reside here and even more surprising that some resist repression and are transcriptionally active within a gene. Hence, intragenic CGI positioning within genes is not arbitrary and is instead, selected for. As a wealth of recent studies demonstrate, intragenic CGIs are embedded within genes and consequently, influence ‘host’ gene mRNA isoform length and expand transcriptome diversity.
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10
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Heterogeneity among enhancer RNAs: origins, consequences and perspectives. Essays Biochem 2021; 65:709-721. [PMID: 34414426 DOI: 10.1042/ebc20200064] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/28/2021] [Accepted: 08/06/2021] [Indexed: 12/15/2022]
Abstract
Enhancer RNAs (eRNAs) are non-coding RNAs transcribed from distal cis-regulatory elements (i.e. enhancers), which are stereotyped as short, rarely spliced and unstable. In fact, a non-negligible fraction of eRNAs seems to be longer, spliced and more stable, and their cognate enhancers are epigenomically and functionally distinguishable from typical enhancers. In this review, we first summarized the genomic and molecular origins underlying the observed heterogeneity among eRNAs. Then, we discussed how their heterogeneous properties (e.g. stability) affect the modes of interaction with their regulatory partners, from promiscuous cis-interactions to specific trans-interactions. Finally, we highlighted the existence of a seemingly continuous spectrum of eRNA properties and its implications in the genomic origins of non-coding RNA genes from an evolutionary perspective.
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Ruhr I, Bierstedt J, Rhen T, Das D, Singh SK, Miller S, Crossley DA, Galli GLJ. Developmental programming of DNA methylation and gene expression patterns is associated with extreme cardiovascular tolerance to anoxia in the common snapping turtle. Epigenetics Chromatin 2021; 14:42. [PMID: 34488850 PMCID: PMC8420019 DOI: 10.1186/s13072-021-00414-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 08/02/2021] [Indexed: 12/15/2022] Open
Abstract
Background Environmental fluctuation during embryonic and fetal development can permanently alter an organism’s morphology, physiology, and behaviour. This phenomenon, known as developmental plasticity, is particularly relevant to reptiles that develop in subterranean nests with variable oxygen tensions. Previous work has shown hypoxia permanently alters the cardiovascular system of snapping turtles and may improve cardiac anoxia tolerance later in life. The mechanisms driving this process are unknown but may involve epigenetic regulation of gene expression via DNA methylation. To test this hypothesis, we assessed in situ cardiac performance during 2 h of acute anoxia in juvenile turtles previously exposed to normoxia (21% oxygen) or hypoxia (10% oxygen) during embryogenesis. Next, we analysed DNA methylation and gene expression patterns in turtles from the same cohorts using whole genome bisulfite sequencing, which represents the first high-resolution investigation of DNA methylation patterns in any reptilian species. Results Genome-wide correlations between CpG and CpG island methylation and gene expression patterns in the snapping turtle were consistent with patterns observed in mammals. As hypothesized, developmental hypoxia increased juvenile turtle cardiac anoxia tolerance and programmed DNA methylation and gene expression patterns. Programmed differences in expression of genes such as SCN5A may account for differences in heart rate, while genes such as TNNT2 and TPM3 may underlie differences in calcium sensitivity and contractility of cardiomyocytes and cardiac inotropy. Finally, we identified putative transcription factor-binding sites in promoters and in differentially methylated CpG islands that suggest a model linking programming of DNA methylation during embryogenesis to differential gene expression and cardiovascular physiology later in life. Binding sites for hypoxia inducible factors (HIF1A, ARNT, and EPAS1) and key transcription factors activated by MAPK and BMP signaling (RREB1 and SMAD4) are implicated. Conclusions Our data strongly suggests that DNA methylation plays a conserved role in the regulation of gene expression in reptiles. We also show that embryonic hypoxia programs DNA methylation and gene expression patterns and that these changes are associated with enhanced cardiac anoxia tolerance later in life. Programming of cardiac anoxia tolerance has major ecological implications for snapping turtles, because these animals regularly exploit anoxic environments throughout their lifespan. Supplementary Information The online version contains supplementary material available at 10.1186/s13072-021-00414-7.
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Affiliation(s)
- Ilan Ruhr
- Division of Cardiovascular Sciences, School of Medical Sciences, University of Manchester, Manchester, M13 9NT, UK
| | - Jacob Bierstedt
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA
| | - Turk Rhen
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA.
| | - Debojyoti Das
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA
| | - Sunil Kumar Singh
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA
| | - Soleille Miller
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA
| | - Dane A Crossley
- Department of Biological Sciences, University of North Texas, Denton, TX, 76203, USA
| | - Gina L J Galli
- Division of Cardiovascular Sciences, School of Medical Sciences, University of Manchester, Manchester, M13 9NT, UK
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Guerrini MM, Oguchi A, Suzuki A, Murakawa Y. Cap analysis of gene expression (CAGE) and noncoding regulatory elements. Semin Immunopathol 2021; 44:127-136. [PMID: 34468849 DOI: 10.1007/s00281-021-00886-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 08/13/2021] [Indexed: 01/06/2023]
Abstract
Cap analysis of gene expression (CAGE) was developed to detect the 5' end of RNA. Trapping of the RNA 5'-cap structure enables the enrichment and selective sequencing of complete transcripts. Upscaled high-throughput versions of CAGE have enabled the genome-wide identification of transcription start sites, including transcriptionally active promoters and enhancers. CAGE sequencing can be exploited to draw comprehensive maps of active genomic regulatory elements in a cell type- and activation-specific manner. The cells of the immune system are among the best candidates to be analyzed in humans, since they are easily accessible. In this review, we discuss how CAGE data are instrumental for integrative analyses with quantitative trait loci and omics data, and their usefulness in the mechanistic interpretation of the effects of genetic variations over the entire human genome. Integrating CAGE data with the currently available omics information will contribute to better understanding of the genome-wide association study variants that lie outside of annotated genes, deepening our knowledge on human diseases, and enabling the targeted design of more specific therapeutic interventions.
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Affiliation(s)
- Matteo Maurizio Guerrini
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
| | - Akiko Oguchi
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Akari Suzuki
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Yasuhiro Murakawa
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- IFOM-the FIRC Institute of Molecular Oncology, Milan, Italy
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13
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Abstract
The world of long non-coding RNAs (lncRNAs) has opened up massive new prospects in understanding the regulation of gene expression. Not only are there seemingly almost infinite numbers of lncRNAs in the mammalian cell, but they have highly diverse mechanisms of action. In the nucleus, some are chromatin-associated, transcribed from transcriptional enhancers (eRNAs) and/or direct changes in the epigenetic landscape with profound effects on gene expression. The pituitary gonadotrope is responsible for activation of reproduction through production and secretion of appropriate levels of the gonadotropic hormones. As such, it exemplifies a cell whose function is defined through changes in developmental and temporal patterns of gene expression, including those that are hormonally induced. Roles for diverse distal regulatory elements and eRNAs in gonadotrope biology have only just begun to emerge. Here, we will present an overview of the different kinds of lncRNAs that alter gene expression, and what is known about their roles in regulating some of the key gonadotrope genes. We will also review various screens that have detected differentially expressed pituitary lncRNAs associated with changes in reproductive state and those whose expression is found to play a role in gonadotrope-derived nonfunctioning pituitary adenomas. We hope to shed light on this exciting new field, emphasize the open questions, and encourage research to illuminate the roles of lncRNAs in various endocrine systems.
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Affiliation(s)
- Tal Refael
- Faculty of Biology, Technion Israel Institute of Technology, Haifa 32000, Israel
| | - Philippa Melamed
- Faculty of Biology, Technion Israel Institute of Technology, Haifa 32000, Israel
- Correspondence: Philippa Melamed, PhD, Faculty of Biology, Technion - Israel Institute of Technology, Haifa 32000, Israel.
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14
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The evolutionary acquisition and mode of functions of promoter-associated non-coding RNAs (pancRNAs) for mammalian development. Essays Biochem 2021; 65:697-708. [PMID: 34328174 DOI: 10.1042/ebc20200143] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 05/13/2021] [Accepted: 07/16/2021] [Indexed: 12/22/2022]
Abstract
Increasing evidence has shown that many long non-coding RNAs (lncRNAs) are involved in gene regulation in a variety of ways such as transcriptional, post-transcriptional and epigenetic regulation. Promoter-associated non-coding RNAs (pancRNAs), which are categorized into the most abundant single-copy lncRNA biotype, play vital regulatory roles in finely tuning cellular specification at the epigenomic level. In short, pancRNAs can directly or indirectly regulate downstream genes to participate in the development of organisms in a cell-specific manner. In this review, we will introduce the evolutionarily acquired characteristics of pancRNAs as determined by comparative epigenomics and elaborate on the research progress on pancRNA-involving processes in mammalian embryonic development, including neural differentiation.
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15
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Szyman K, Wilczyński B, Dąbrowski M. K-mer Content Changes with Node Degree in Promoter-Enhancer Network of Mouse ES Cells. Int J Mol Sci 2021; 22:ijms22158067. [PMID: 34360860 PMCID: PMC8347099 DOI: 10.3390/ijms22158067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/16/2021] [Accepted: 07/24/2021] [Indexed: 11/16/2022] Open
Abstract
Maps of Hi-C contacts between promoters and enhancers can be analyzed as networks, with cis-regulatory regions as nodes and their interactions as edges. We checked if in the published promoter-enhancer network of mouse embryonic stem (ES) cells the differences in the node type (promoter or enhancer) and the node degree (number of regions interacting with a given promoter or enhancer) are reflected by sequence composition or sequence similarity of the interacting nodes. We used counts of all k-mers (k = 4) to analyze the sequence composition and the Euclidean distance between the k-mer count vectors (k-mer distance) as the measure of sequence (dis)similarity. The results we obtained with 4-mers are interpretable in terms of dinucleotides. Promoters are GC-rich as compared to enhancers, which is known. Enhancers are enriched in scaffold/matrix attachment regions (S/MARs) patterns and depleted of CpGs. Furthermore, we show that promoters are more similar to their interacting enhancers than vice-versa. Most notably, in both promoters and enhancers, the GC content and the CpG count increase with the node degree. As a consequence, enhancers of higher node degree become more similar to promoters, whereas higher degree promoters become less similar to enhancers. We confirmed the key results also for human keratinocytes.
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Affiliation(s)
- Kinga Szyman
- Laboratory of Bioinformatics, Nencki Institute of Experimental Biology, 02-093 Warsaw, Poland;
- Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, 02-097 Warsaw, Poland;
| | - Bartek Wilczyński
- Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, 02-097 Warsaw, Poland;
| | - Michał Dąbrowski
- Laboratory of Bioinformatics, Nencki Institute of Experimental Biology, 02-093 Warsaw, Poland;
- Correspondence:
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16
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Liu X, Weikum ER, Tilo D, Vinson C, Ortlund EA. Structural basis for glucocorticoid receptor recognition of both unmodified and methylated binding sites, precursors of a modern recognition element. Nucleic Acids Res 2021; 49:8923-8933. [PMID: 34289059 PMCID: PMC8421226 DOI: 10.1093/nar/gkab605] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/24/2021] [Accepted: 07/20/2021] [Indexed: 11/20/2022] Open
Abstract
The most common form of DNA methylation involves the addition of a methyl group to a cytosine base in the context of a cytosine–phosphate–guanine (CpG) dinucleotide. Genomes from more primitive organisms are more abundant in CpG sites that, through the process of methylation, deamination and subsequent mutation to thymine–phosphate–guanine (TpG) sites, can produce new transcription factor binding sites. Here, we examined the evolutionary history of the over 36 000 glucocorticoid receptor (GR) consensus binding motifs in the human genome and identified a subset of them in regulatory regions that arose via a deamination and subsequent mutation event. GR can bind to both unmodified and methylated pre-GR binding sequences (GBSs) that contain a CpG site. Our structural analyses show that CpG methylation in a pre-GBS generates a favorable interaction with Arg447 mimicking that made with a TpG in a GBS. This methyl-specific recognition arose 420 million years ago and was conserved during the evolution of GR and likely helps fix the methylation on the relevant cytosines. Our study provides the first genetic, biochemical and structural evidence of high-affinity binding for the likely evolutionary precursor of extant TpG-containing GBS.
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Affiliation(s)
- Xu Liu
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Emily R Weikum
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Desiree Tilo
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Charles Vinson
- Laboratory of Metabolism, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Eric A Ortlund
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
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17
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Basith S, Hasan MM, Lee G, Wei L, Manavalan B. Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Brief Bioinform 2021; 22:6315815. [PMID: 34226917 DOI: 10.1093/bib/bbab252] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 06/08/2021] [Accepted: 06/14/2021] [Indexed: 02/06/2023] Open
Abstract
Enhancers are deoxyribonucleic acid (DNA) fragments which when bound by transcription factors enhance the transcription of related genes. Due to its sporadic distribution and similar fractions, identification of enhancers from the human genome seems a daunting task. Compared to the traditional experimental approaches, computational methods with easy-to-use platforms could be efficiently applied to annotate enhancers' functions and physiological roles. In this aspect, several bioinformatics tools have been developed to identify enhancers. Despite their spectacular performances, existing methods have certain drawbacks and limitations, including fixed length of sequences being utilized for model development and cell-specificity negligence. A novel predictor would be beneficial in the context of genome-wide enhancer prediction by addressing the above-mentioned issues. In this study, we constructed new datasets for eight different cell types. Utilizing these data, we proposed an integrative machine learning (ML)-based framework called Enhancer-IF for identifying cell-specific enhancers. Enhancer-IF comprehensively explores a wide range of heterogeneous features with five commonly used ML methods (random forest, extremely randomized tree, multilayer perceptron, support vector machine and extreme gradient boosting). Specifically, these five classifiers were trained with seven encodings and obtained 35 baseline models. The output of these baseline models was integrated and again inputted to five classifiers for the construction of five meta-models. Finally, the integration of five meta-models through ensemble learning improved the model robustness. Our proposed approach showed an excellent prediction performance compared to the baseline models on both training and independent datasets in different cell types, thus highlighting the superiority of our approach in the identification of the enhancers. We assume that Enhancer-IF will be a valuable tool for screening and identifying potential enhancers from the human DNA sequences.
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Affiliation(s)
- Shaherin Basith
- Department of Physiology, Ajou University School of Medicine, Republic of Korea
| | - Md Mehedi Hasan
- Tulane University, USA.,Kyushu Institute of Technology, Japan
| | - Gwang Lee
- Department of Physiology, Ajou University School of Medicine, Republic of Korea
| | - Leyi Wei
- Xiamen University, China.,Shandong University, China
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18
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Pachano T, Sánchez-Gaya V, Ealo T, Mariner-Faulí M, Bleckwehl T, Asenjo HG, Respuela P, Cruz-Molina S, Muñoz-San Martín M, Haro E, van IJcken WFJ, Landeira D, Rada-Iglesias A. Orphan CpG islands amplify poised enhancer regulatory activity and determine target gene responsiveness. Nat Genet 2021; 53:1036-1049. [PMID: 34183853 PMCID: PMC7611182 DOI: 10.1038/s41588-021-00888-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 05/17/2021] [Indexed: 12/12/2022]
Abstract
CpG islands (CGIs) represent a widespread feature of vertebrate genomes, being associated with ~70% of all gene promoters. CGIs control transcription initiation by conferring nearby promoters with unique chromatin properties. In addition, there are thousands of distal or orphan CGIs (oCGIs) whose functional relevance is barely known. Here we show that oCGIs are an essential component of poised enhancers that augment their long-range regulatory activity and control the responsiveness of their target genes. Using a knock-in strategy in mouse embryonic stem cells, we introduced poised enhancers with or without oCGIs within topologically associating domains harboring genes with different types of promoters. Analysis of the resulting cell lines revealed that oCGIs act as tethering elements that promote the physical and functional communication between poised enhancers and distally located genes, particularly those with large CGI clusters in their promoters. Therefore, by acting as genetic determinants of gene-enhancer compatibility, CGIs can contribute to gene expression control under both physiological and potentially pathological conditions.
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Affiliation(s)
- Tomas Pachano
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/Universidad de Cantabria/SODERCAN, Santander, Spain
| | - Víctor Sánchez-Gaya
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/Universidad de Cantabria/SODERCAN, Santander, Spain
| | - Thais Ealo
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/Universidad de Cantabria/SODERCAN, Santander, Spain
| | - Maria Mariner-Faulí
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/Universidad de Cantabria/SODERCAN, Santander, Spain
| | - Tore Bleckwehl
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Helena G Asenjo
- Centre for Genomics and Oncological Research (GENYO), Granada, Spain
- Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Hospital Virgen de las Nieves, Granada, Spain
| | - Patricia Respuela
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/Universidad de Cantabria/SODERCAN, Santander, Spain
| | - Sara Cruz-Molina
- Max Planck Institute for Molecular Biomedicine, Muenster, Germany
| | - María Muñoz-San Martín
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/Universidad de Cantabria/SODERCAN, Santander, Spain
| | - Endika Haro
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/Universidad de Cantabria/SODERCAN, Santander, Spain
| | | | - David Landeira
- Centre for Genomics and Oncological Research (GENYO), Granada, Spain
- Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Hospital Virgen de las Nieves, Granada, Spain
| | - Alvaro Rada-Iglesias
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), CSIC/Universidad de Cantabria/SODERCAN, Santander, Spain.
- Cologne Excellence Cluster for Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.
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19
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Karlebach G, Hansen P, Veiga DF, Steinhaus R, Danis D, Li S, Anczukow O, Robinson PN. HBA-DEALS: accurate and simultaneous identification of differential expression and splicing using hierarchical Bayesian analysis. Genome Biol 2020; 21:171. [PMID: 32660516 PMCID: PMC7358203 DOI: 10.1186/s13059-020-02072-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 06/11/2020] [Indexed: 12/12/2022] Open
Abstract
We present Hierarchical Bayesian Analysis of Differential Expression and ALternative Splicing (HBA-DEALS), which simultaneously characterizes differential expression and splicing in cohorts. HBA-DEALS attains state of the art or better performance for both expression and splicing and allows genes to be characterized as having differential gene expression, differential alternative splicing, both, or neither. HBA-DEALS analysis of GTEx data demonstrated sets of genes that show predominant DGE or DAST across multiple tissue types. These sets have pervasive differences with respect to gene structure, function, membership in protein complexes, and promoter architecture.
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Affiliation(s)
- Guy Karlebach
- The Jackson Laboratory for Genomic Medicine, Farmington, 06032, CT, USA
| | - Peter Hansen
- The Jackson Laboratory for Genomic Medicine, Farmington, 06032, CT, USA
| | - Diogo Ft Veiga
- The Jackson Laboratory for Genomic Medicine, Farmington, 06032, CT, USA
| | - Robin Steinhaus
- Charité - Universitätsmedizin Berlin, Institute of Medical Genetics and Human Genetics, Berlin, 13353, Germany
- Berlin Institute of Health (BIH), Berlin, 10117, Germany
| | - Daniel Danis
- The Jackson Laboratory for Genomic Medicine, Farmington, 06032, CT, USA
| | - Sheng Li
- The Jackson Laboratory for Genomic Medicine, Farmington, 06032, CT, USA
| | - Olga Anczukow
- The Jackson Laboratory for Genomic Medicine, Farmington, 06032, CT, USA
- Institute for Systems Genomics, University of Connecticut, Farmington, 06032, CT, USA
| | - Peter N Robinson
- The Jackson Laboratory for Genomic Medicine, Farmington, 06032, CT, USA.
- Institute for Systems Genomics, University of Connecticut, Farmington, 06032, CT, USA.
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20
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MMTR/Dmap1 Sets the Stage for Early Lineage Commitment of Embryonic Stem Cells by Crosstalk with PcG Proteins. Cells 2020; 9:cells9051190. [PMID: 32403252 PMCID: PMC7290897 DOI: 10.3390/cells9051190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 05/05/2020] [Accepted: 05/08/2020] [Indexed: 01/13/2023] Open
Abstract
Chromatin remodeling, including histone modification, chromatin (un)folding, and nucleosome remodeling, is a significant transcriptional regulation mechanism. By these epigenetic modifications, transcription factors and their regulators are recruited to the promoters of target genes, and thus gene expression is controlled through either transcriptional activation or repression. The Mat1-mediated transcriptional repressor (MMTR)/DNA methyltransferase 1 (DNMT1)-associated protein (Dmap1) is a transcription corepressor involved in chromatin remodeling, cell cycle regulation, DNA double-strand break repair, and tumor suppression. The Tip60-p400 complex proteins, including MMTR/Dmap1, interact with the oncogene Myc in embryonic stem cells (ESCs). These proteins interplay with the stem cell-related proteome networks and regulate gene expressions. However, the detailed mechanisms of their functions are unknown. Here, we show that MMTR/Dmap1, along with other Tip60-p400 complex proteins, bind the promoters of differentiation commitment genes in mouse ESCs. Hence, MMTR/Dmap1 controls gene expression alterations during differentiation. Furthermore, we propose a novel mechanism of MMTR/Dmap1 function in early stage lineage commitment of mouse ESCs by crosstalk with the polycomb group (PcG) proteins. The complex controls histone mark bivalency and transcriptional poising of commitment genes. Taken together, our comprehensive findings will help better understand the MMTR/Dmap1-mediated transcriptional regulation in ESCs and other cell types.
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