title: Concerted bioinformatic analysis of the genome-scale blood transcription factor compendium reveals new control mechanisms.
abstract: Transcription factors play a key role in the development of a disease. ChIP-sequencing has become a preferred technique to investigate genome-wide binding patterns of transcription factors in vivo. Although this technology has led to many important discoveries, the rapidly increasing number of publicly available ChIP-sequencing datasets still remains a largely unexplored resource. Using a compendium of 144 publicly available murine ChIP-sequencing datasets in blood, we show that systematic bioinformatic analysis can unravel diverse aspects of transcription regulation; from genome-wide binding preferences, finding regulatory partners and assembling regulatory complexes, to identifying novel functions of transcription factors and investigating transcription dynamics during development.
authors.affiliation: The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK. anagha.joshi@roslin.ed.ac.uk.
authors.forename: Anagha
authors.initials: A
authors.lastname: Joshi
authors.forename: Berthold
authors.initials: B
authors.lastname: Gottgens
mesh_terms: D000818:Animals; D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D018507:Gene Expression Regulation, Developmental; D016678:Genome; D006801:Humans; D051379:Mice; D011401:Promoter Regions, Genetic; D017422:Sequence Analysis, DNA; D014157:Transcription Factors / Q000097:blood / Q000235:genetics* / Q000378:metabolism*
chemical_list: D014157:Transcription Factors