Determinants of transcription factor regulatory range

被引:0
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作者
Chen-Hao Chen
Rongbin Zheng
Collin Tokheim
Xin Dong
Jingyu Fan
Changxin Wan
Qin Tang
Myles Brown
Jun S. Liu
Clifford A. Meyer
X. Shirley Liu
机构
[1] Dana-Farber Cancer Institute. Harvard T.H. Chan School of Public Health,Department of Data Sciences
[2] Biological and Biomedical Science Program,Department of Medical Oncology
[3] Harvard Medical School,Department of Statistics
[4] Center for Functional Cancer Epigenetics,undefined
[5] Dana-Farber Cancer Institute,undefined
[6] Clinical Translational Research Center,undefined
[7] Shanghai Pulmonary Hospital,undefined
[8] School of Life Sciences and Technology,undefined
[9] Tongji University,undefined
[10] Dana-Farber Cancer Institute,undefined
[11] Harvard Medical School,undefined
[12] Harvard University,undefined
来源
Nature Communications | / 11卷
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摘要
Characterization of the genomic distances over which transcription factor (TF) binding influences gene expression is important for inferring target genes from TF chromatin immunoprecipitation followed by sequencing (ChIP-seq) data. Here we systematically examine the relationship between thousands of TF and histone modification ChIP-seq data sets with thousands of gene expression profiles. We develop a model for integrating these data, which reveals two classes of TFs with distinct ranges of regulatory influence, chromatin-binding preferences, and auto-regulatory properties. We find that the regulatory range of the same TF bound within different topologically associating domains (TADs) depend on intrinsic TAD properties such as local gene density and G/C content, but also on the TAD chromatin states. Our results suggest that considering TF type, binding distance to gene locus, as well as chromatin context is important in identifying implicated TFs from GWAS SNPs.
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