Literature DB >> 22709829

Histone modification profiles characterize function-specific gene regulation.

Inkyung Jung1, Dongsup Kim.   

Abstract

Chromatin modification is ubiquitous in gene regulation. Despite much effort, a systematic investigation is needed to understand whether each modification has a unique property depending on the function of its associated genes. Here, we show that consideration of function-specific histone modification profiles is important for accurate prediction of gene expression levels, and is maintained across cell types. The performance improvement is thought to originate from the association between modifications and gene expression levels for each biological function. The varying relationship between histone modifications and gene expression levels can be partly explained by considering function-specific PolII recruitment mechanisms, and is supported by more accurate predictions of PolII occupancies with function-specific modification profiles. We suggest that the function-specific binding of transcription factors and chromatin regulators may explain similar gene regulatory mechanisms, such as function-specific PolII recruitment, in each functional gene set. Our study demonstrates that each histone modification has a different characteristic according to the function of its associated genes; thus, different combinations of histone modification profiles characterize function-specific gene regulation. The current analysis is available on our web server (biodb.kaist.ac.kr/impohis).
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22709829     DOI: 10.1016/j.jtbi.2012.06.009

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  5 in total

1.  MRHMMs: multivariate regression hidden Markov models and the variantS.

Authors:  Yeonok Lee; Debashis Ghosh; Ross C Hardison; Yu Zhang
Journal:  Bioinformatics       Date:  2014-02-19       Impact factor: 6.937

2.  Curcumin Derivative Epigenetically Reactivates Nrf2 Antioxidative Stress Signaling in Mouse Prostate Cancer TRAMP C1 Cells.

Authors:  Wenji Li; Zheng-Yuan Su; Yue Guo; Chengyue Zhang; Renyi Wu; Linbo Gao; Xi Zheng; Zhi-Yun Du; Kun Zhang; Ah-Ng Kong
Journal:  Chem Res Toxicol       Date:  2018-01-08       Impact factor: 3.739

3.  Whole-genome landscape of H3K4me3, H3K36me3 and H3K9ac and their association with gene expression during Paulownia witches' broom disease infection and recovery processes.

Authors:  Lijun Yan; Xiaoqiao Zhai; Zhenli Zhao; Guoqiang Fan
Journal:  3 Biotech       Date:  2020-07-08       Impact factor: 2.406

4.  Regression hidden Markov modeling reveals heterogeneous gene expression regulation: a case study in mouse embryonic stem cells.

Authors:  Yeonok Lee; Debashis Ghosh; Yu Zhang
Journal:  BMC Genomics       Date:  2014-05-12       Impact factor: 3.969

5.  Role of RbBP5 and H3K4me3 in the vicinity of Snail transcription start site during epithelial-mesenchymal transition in prostate cancer cell.

Authors:  Dong Li; Hui Sun; Wen-Jing Sun; Hong-Bo Bao; Shu-Han Si; Jia-Lin Fan; Ping Lin; Rong-Jun Cui; Yu-Jia Pan; Si-Min Wen; Xiu-Lan Zheng; Xiao-Guang Yu
Journal:  Oncotarget       Date:  2016-10-04
  5 in total

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