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Chromatin states modify network motifs contributing to cell-specific functions.


ABSTRACT: Epigenetic modification can affect many important biological processes, such as cell proliferation and apoptosis. It can alter chromatin conformation and contribute to gene regulation. To investigate how chromatin states associated with network motifs, we assembled chromatin state-modified regulatory networks by combining 269 ChIP-seq data and chromatin states in four cell types. We found that many chromatin states were significantly associated with network motifs, especially for feedforward loops (FFLs). These distinct chromatin state compositions contribute to different expression levels and translational control of targets in FFLs. Strikingly, the chromatin state-modified FFLs were highly cell-specific and, to a large extent, determined cell-selective functions, such as the embryonic stem cell-specific bivalent modification-related FFL with an important role in poising developmentally important genes for expression. Besides, comparisons of chromatin state-modified FFLs between cancerous/stem and primary cell lines revealed specific type of chromatin state alterations that may act together with motif structural changes cooperatively contribute to cell-to-cell functional differences. Combination of these alterations could be helpful in prioritizing candidate genes. Together, this work highlights that a dynamic epigenetic dimension can help network motifs to control cell-specific functions.

SUBMITTER: Zhao H 

PROVIDER: S-EPMC4500950 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Chromatin states modify network motifs contributing to cell-specific functions.

Zhao Hongying H   Liu Tingting T   Liu Ling L   Zhang Guanxiong G   Pang Lin L   Yu Fulong F   Fan Huihui H   Ping Yanyan Y   Wang Li L   Xu Chaohan C   Xiao Yun Y   Li Xia X  

Scientific reports 20150714


Epigenetic modification can affect many important biological processes, such as cell proliferation and apoptosis. It can alter chromatin conformation and contribute to gene regulation. To investigate how chromatin states associated with network motifs, we assembled chromatin state-modified regulatory networks by combining 269 ChIP-seq data and chromatin states in four cell types. We found that many chromatin states were significantly associated with network motifs, especially for feedforward loo  ...[more]

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