Literature DB >> 32039697

Hierarchical cooperation of transcription factors from integration analysis of DNA sequences, ChIP-Seq and ChIA-PET data.

Ruimin Wang1, Yunlong Wang1, Xueying Zhang1, Yaliang Zhang1, Xiaoyong Du1,2, Yaping Fang3,4,5, Guoliang Li6,7,8.   

Abstract

BACKGROUND: Chromosomal architecture, which is constituted by chromatin loops, plays an important role in cellular functions. Gene expression and cell identity can be regulated by the chromatin loop, which is formed by proximal or distal enhancers and promoters in linear DNA (1D). Enhancers and promoters are fundamental non-coding elements enriched with transcription factors (TFs) to form chromatin loops. However, the specific cooperation of TFs involved in forming chromatin loops is not fully understood.
RESULTS: Here, we proposed a method for investigating the cooperation of TFs in four cell lines by the integrative analysis of DNA sequences, ChIP-Seq and ChIA-PET data. Results demonstrate that the interaction of enhancers and promoters is a hierarchical and dynamic complex process with cooperative interactions of different TFs synergistically regulating gene expression and chromatin structure. The TF cooperation involved in maintaining and regulating the chromatin loop of cells can be regulated by epigenetic factors, such as other TFs and DNA methylation.
CONCLUSIONS: Such cooperation among TFs provides the potential features that can affect chromatin's 3D architecture in cells. The regulation of chromatin 3D organization and gene expression is a complex process associated with the hierarchical and dynamic prosperities of TFs.

Entities:  

Keywords:  Chromatin loop; Enhancer; Hierarchy and dynamics; Promoter; Transcription factor cooperation

Year:  2019        PMID: 32039697      PMCID: PMC7226942          DOI: 10.1186/s12864-019-5535-2

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  56 in total

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Authors:  Yann Loe-Mie; Aude-Marie Lepagnol-Bestel; Gilles Maussion; Adi Doron-Faigenboim; Sandrine Imbeaud; Hervé Delacroix; Lawrence Aggerbeck; Tal Pupko; Philip Gorwood; Michel Simonneau; Jean-Marie Moalic
Journal:  Hum Mol Genet       Date:  2010-05-10       Impact factor: 6.150

2.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

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Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

3.  Genomic analysis of the hierarchical structure of regulatory networks.

Authors:  Haiyuan Yu; Mark Gerstein
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-26       Impact factor: 11.205

4.  Prioritizing network communities.

Authors:  Marinka Zitnik; Rok Sosič; Jure Leskovec
Journal:  Nat Commun       Date:  2018-06-29       Impact factor: 14.919

5.  Transcription factors mediate long-range enhancer-promoter interactions.

Authors:  Ilias K Nolis; Daniel J McKay; Eva Mantouvalou; Stavros Lomvardas; Menie Merika; Dimitris Thanos
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-18       Impact factor: 11.205

Review 6.  Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data.

Authors:  Job Dekker; Marc A Marti-Renom; Leonid A Mirny
Journal:  Nat Rev Genet       Date:  2013-05-09       Impact factor: 53.242

7.  Extensive promoter-centered chromatin interactions provide a topological basis for transcription regulation.

Authors:  Guoliang Li; Xiaoan Ruan; Raymond K Auerbach; Kuljeet Singh Sandhu; Meizhen Zheng; Ping Wang; Huay Mei Poh; Yufen Goh; Joanne Lim; Jingyao Zhang; Hui Shan Sim; Su Qin Peh; Fabianus Hendriyan Mulawadi; Chin Thing Ong; Yuriy L Orlov; Shuzhen Hong; Zhizhuo Zhang; Steve Landt; Debasish Raha; Ghia Euskirchen; Chia-Lin Wei; Weihong Ge; Huaien Wang; Carrie Davis; Katherine I Fisher-Aylor; Ali Mortazavi; Mark Gerstein; Thomas Gingeras; Barbara Wold; Yi Sun; Melissa J Fullwood; Edwin Cheung; Edison Liu; Wing-Kin Sung; Michael Snyder; Yijun Ruan
Journal:  Cell       Date:  2012-01-20       Impact factor: 41.582

8.  Similarity network fusion for aggregating data types on a genomic scale.

Authors:  Bo Wang; Aziz M Mezlini; Feyyaz Demir; Marc Fiume; Zhuowen Tu; Michael Brudno; Benjamin Haibe-Kains; Anna Goldenberg
Journal:  Nat Methods       Date:  2014-01-26       Impact factor: 28.547

9.  Circuitry and dynamics of human transcription factor regulatory networks.

Authors:  Shane Neph; Andrew B Stergachis; Alex Reynolds; Richard Sandstrom; Elhanan Borenstein; John A Stamatoyannopoulos
Journal:  Cell       Date:  2012-09-05       Impact factor: 41.582

10.  Dynamic interplay between enhancer-promoter topology and gene activity.

Authors:  Hongtao Chen; Michal Levo; Lev Barinov; Miki Fujioka; James B Jaynes; Thomas Gregor
Journal:  Nat Genet       Date:  2018-07-23       Impact factor: 38.330

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  3 in total

1.  Genomics research at Bioinformatics of Genome Regulation and Structure\ Systems Biology (BGRS\SB) conferences in Novosibirsk.

Authors:  Yuriy L Orlov; Alex V Kochetov; Guoliang Li; Nikolay A Kolchanov
Journal:  BMC Genomics       Date:  2019-05-08       Impact factor: 3.969

2.  Predict long-range enhancer regulation based on protein-protein interactions between transcription factors.

Authors:  Hao Wang; Binbin Huang; Jianrong Wang
Journal:  Nucleic Acids Res       Date:  2021-10-11       Impact factor: 16.971

3.  Analysis of the genes controlling three quantitative traits in three diverse plant species reveals the molecular basis of quantitative traits.

Authors:  Meiping Zhang; Yun-Hua Liu; Wenwei Xu; C Wayne Smith; Seth C Murray; Hong-Bin Zhang
Journal:  Sci Rep       Date:  2020-06-22       Impact factor: 4.379

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