Literature DB >> 30755522

Epigenomic analysis reveals DNA motifs regulating histone modifications in human and mouse.

Vu Ngo1, Zhao Chen2, Kai Zhang1, John W Whitaker2, Mengchi Wang1, Wei Wang3,2,4.   

Abstract

Histones are modified by enzymes that act in a locus, cell-type, and developmental stage-specific manner. The recruitment of enzymes to chromatin is regulated at multiple levels, including interaction with sequence-specific DNA-binding factors. However, the DNA-binding specificity of the regulatory factors that orchestrate specific histone modifications has not been broadly mapped. We have analyzed 6 histone marks (H3K4me1, H3K4me3, H3K27ac, H3K27me3, K3H9me3, H3K36me3) across 121 human cell types and tissues from the NIH Roadmap Epigenomics Project as well as 8 histone marks (with addition of H3K4me2 and H3K9ac) from the mouse ENCODE Consortium. We have identified 361 and 369 DNA motifs in human and mouse, respectively, that are the most predictive of each histone mark. Interestingly, 107 human motifs are conserved between the two species. In human embryonic cell line H1, we mutated only the found DNA motifs at particular loci and the significant reduction of H3K27ac levels validated the regulatory roles of the perturbed motifs. The functionality of these motifs was also supported by the evidence that histone-associated motifs, especially H3K4me3 motifs, significantly overlap with the expression of quantitative trait loci SNPs in cancer patients more than the known and random motifs. Furthermore, we observed possible feedbacks to control chromatin dynamics as the found motifs appear in the promoters or enhancers associated with various histone modification enzymes. These results pave the way toward revealing the molecular mechanisms of epigenetic events, such as histone modification dynamics and epigenetic priming.

Entities:  

Keywords:  CRISPR; chromatin dynamics; cis-regulatory elements; epigenomics; locus specificity

Mesh:

Substances:

Year:  2019        PMID: 30755522      PMCID: PMC6397554          DOI: 10.1073/pnas.1813565116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

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Review 5.  Bivalent histone modifications in early embryogenesis.

Authors:  Nadine L Vastenhouw; Alexander F Schier
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Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
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10.  Integrative analysis of 111 reference human epigenomes.

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Journal:  Nature       Date:  2015-02-19       Impact factor: 69.504

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  9 in total

1.  Identification of DNA motifs that regulate DNA methylation.

Authors:  Mengchi Wang; Kai Zhang; Vu Ngo; Chengyu Liu; Shicai Fan; John W Whitaker; Yue Chen; Rizi Ai; Zhao Chen; Jun Wang; Lina Zheng; Wei Wang
Journal:  Nucleic Acids Res       Date:  2019-07-26       Impact factor: 16.971

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3.  Asymmetric Predictive Relationships Across Histone Modifications.

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Review 4.  Deciphering the genetic code of DNA methylation.

Authors:  Mengchi Wang; Vu Ngo; Wei Wang
Journal:  Brief Bioinform       Date:  2021-09-02       Impact factor: 11.622

5.  ChIP-BIT2: a software tool to detect weak binding events using a Bayesian integration approach.

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6.  Chromatin Landscape Dynamics in the Early Development of the Plant Parasitic Nematode Meloidogyne incognita.

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Journal:  Front Cell Dev Biol       Date:  2021-12-06

7.  Global Gene Expression Regulation Mediated by TGFβ Through H3K9me3 Mark.

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8.  An atlas of dynamic chromatin landscapes in mouse fetal development.

Authors:  David U Gorkin; Iros Barozzi; Yuan Zhao; Yanxiao Zhang; Hui Huang; Ah Young Lee; Bin Li; Joshua Chiou; Andre Wildberg; Bo Ding; Bo Zhang; Mengchi Wang; J Seth Strattan; Jean M Davidson; Yunjiang Qiu; Veena Afzal; Jennifer A Akiyama; Ingrid Plajzer-Frick; Catherine S Novak; Momoe Kato; Tyler H Garvin; Quan T Pham; Anne N Harrington; Brandon J Mannion; Elizabeth A Lee; Yoko Fukuda-Yuzawa; Yupeng He; Sebastian Preissl; Sora Chee; Jee Yun Han; Brian A Williams; Diane Trout; Henry Amrhein; Hongbo Yang; J Michael Cherry; Wei Wang; Kyle Gaulton; Joseph R Ecker; Yin Shen; Diane E Dickel; Axel Visel; Len A Pennacchio; Bing Ren
Journal:  Nature       Date:  2020-07-29       Impact factor: 69.504

9.  Motto: Representing Motifs in Consensus Sequences with Minimum Information Loss.

Authors:  Mengchi Wang; David Wang; Kai Zhang; Vu Ngo; Shicai Fan; Wei Wang
Journal:  Genetics       Date:  2020-08-19       Impact factor: 4.562

  9 in total

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