Abstract
To better understand genome regulation, it is important to uncover the role of transcription factors in the process of chromatin structure establishment and maintenance. Here we present a data-driven approach to systematically characterise transcription factors that are relevant for this process. Our method uses a linear mixed modelling approach to combine datasets of transcription factor binding motif enrichments in open chromatin and gene expression across the same set of cell lines. Applying this approach to the ENCODE dataset, we confirm already known and imply numerous novel transcription factors that play a role in the establishment or maintenance of open chromatin. In particular, our approach rediscovers many factors that have been annotated as pioneer factors.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Binding Sites / genetics
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Cell Line
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Chromatin / chemistry*
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Chromatin / genetics*
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Chromatin / metabolism
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Chromatin Immunoprecipitation
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Computational Biology
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Genome-Wide Association Study*
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Humans
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Transcription Factors / genetics*
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Transcription Factors / metabolism
Substances
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Chromatin
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Transcription Factors
Grants and funding
This work was supported by the Leenards Foundation (
http://www.leenaards.ch) [to ZK] the Swiss Institute of Bioinformatics (
http://www.isb-sib.ch/) [to SB, to ZK], the Swiss National Science Foundation [31003A-143914 to ZK, FN 310030_152724 / 1 to SB] and SystemsX.ch (
http://www.systemsx.ch/) [51RTP0_151019 to ZK, via SysGenetiX to SB]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.