Statistical identification of co-regulatory gene modules using multiple ChIP-Seq experiments

Xi Chen, Xu Shi, Ayesha N. Shajahan-Haq, Leena Hilakivi-Clarke, Robert Clarke, Jianhua Xuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

ChIP-Seq experiments provide accurate measurements of the regulatory roles of transcription factors (TFs) under specific condition. Downstream target genes can be detected by analyzing the enriched TF binding sites (TFBSs) in genes' promoter regions. The location and statistical information of TFBSs make it possible to evaluate the relative importance of each binding. Based on the assumption that the TFBSs of one ChIP-Seq experiment follow the same specific location distribution, a statistical model is first proposed using both location and significance information of peaks to weigh target genes. With genes' binding scores from different TFs, we merge them into a weighted binding matrix. A Markov Chain Monte Carlo (MCMC) based approach is then applied to the binding matrix for co-regulatory module identification. We demonstrate the efficiency of our statistical model on an ER-α ChIP-Seq dataset and further identify coregulatory modules by using eleven breast cancer related TFs from ENCODE ChIP-Seq datasets. The results show that the TFs in individual module regulate common high score target genes; the association of TFs is biologically meaningful, and the functional roles of TFs and target genes are consistent.

Original languageEnglish (US)
Title of host publicationBIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
PublisherSciTePress
Pages109-116
Number of pages8
ISBN (Print)9789897580123
DOIs
StatePublished - 2014
Externally publishedYes
Event5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 - Angers, Loire Valley, France
Duration: Mar 3 2014Mar 6 2014

Publication series

NameBIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014

Conference

Conference5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
CountryFrance
CityAngers, Loire Valley
Period3/3/143/6/14

Keywords

  • ChIP-Seq
  • Co-regulatory Modules
  • MCMC
  • Target Genes
  • TFBS

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