BloodChIP: a database of comparative genome-wide transcription factor binding profiles in human blood cells

被引：42

作者：

Chacon, Diego

Beck, Dominik

Perera, Dilmi

Wong, Jason W. H.

Pimanda, John E. ^{[1
]}

机构：

[1] Univ New S Wales, Lowy Canc Res Ctr, Sydney, NSW 2052, Australia

来源：

NUCLEIC ACIDS RESEARCH | 2014年 / 42卷 / D1期

基金：

澳大利亚研究理事会; 英国医学研究理事会;

关键词：

GENE-EXPRESSION; PROGRAMS; REGULATORS; CYTOSCAPE; ELEMENTS; AML1-ETO; NETWORK; FLI1;

D O I：

10.1093/nar/gkt1036

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

070307 [化学生物学]; 071010 [生物化学与分子生物学];

摘要：

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.

引用

页码：D172 / D177

页数：6

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