title: BloodChIP: a database of comparative genome-wide transcription factor binding profiles in human blood cells.
abstract: The BloodChIP database (http://www.med.unsw.edu.au/CRCWeb.nsf/page/BloodChIP) supports exploration and visualization of combinatorial transcription factor (TF) binding at a particular locus in human CD34-positive and other normal and leukaemic cells or retrieval of target gene sets for user-defined combinations of TFs across one or more cell types. Increasing numbers of genome-wide TF binding profiles are being added to public repositories, and this trend is likely to continue. For the power of these data sets to be fully harnessed by experimental scientists, there is a need for these data to be placed in context and easily accessible for downstream applications. To this end, we have built a user-friendly database that has at its core the genome-wide binding profiles of seven key haematopoietic TFs in human stem/progenitor cells. These binding profiles are compared with binding profiles in normal differentiated and leukaemic cells. We have integrated these TF binding profiles with chromatin marks and expression data in normal and leukaemic cell fractions. All queries can be exported into external sites to construct TF-gene and protein-protein networks and to evaluate the association of genes with cellular processes and tissue expression.
authors.affiliation: Lowy Cancer Research Centre and the Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2052, Australia.
authors.forename: Diego
authors.initials: D
authors.lastname: Chacon
authors.forename: Dominik
authors.initials: D
authors.lastname: Beck
authors.forename: Dilmi
authors.initials: D
authors.lastname: Perera
authors.forename: Jason W H
authors.initials: JW
authors.lastname: Wong
authors.forename: John E
authors.initials: JE
authors.lastname: Pimanda
mesh_terms: D001665:Binding Sites; D001773:Blood Cells / Q000378:metabolism*; D047369:Chromatin Immunoprecipitation; D004247:DNA / Q000737:chemistry / Q000378:metabolism; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D015894:Genome, Human; D006412:Hematopoietic Stem Cells / Q000378:metabolism; D006801:Humans; D020407:Internet; D050436:Regulatory Elements, Transcriptional; D012984:Software; D014157:Transcription Factors / Q000737:chemistry / Q000378:metabolism*
chemical_list: D014157:Transcription Factors; D004247:DNA