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首页> 外文期刊>Nucleic acids research >BloodChIP: a database of comparative genome-wide transcription factor binding profiles in human blood cells
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BloodChIP: a database of comparative genome-wide transcription factor binding profiles in human blood cells

机译:BloodChIP:人血细胞中比较全基因组转录因子结合谱的数据库

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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.
机译:BloodChIP数据库(http://www.med.unsw.edu.au/CRCWeb.nsf/page/BloodChIP)支持在人类CD34阳性和其他正常人群中特定位点的结合转录因子(TF)结合的探索和可视化白血病细胞或白血病细胞或针对一种或多种细胞类型的用户定义的TF组合的靶基因集的检索。越来越多的全基因组TF结合图谱被添加到公共存储库中,并且这种趋势可能会持续下去。为了让实验科学家能够充分利用这些数据集的功能,需要将这些数据放在上下文中,并易于下游应用程序访问。为此,我们建立了一个用户友好的数据库,其核心是人类干细胞/祖细胞中七个关键造血TF的全基因组结合谱。将这些结合概况与正常分化的和白血病细胞中的结合概况进行比较。我们已经将这些TF结合谱与染色质标记以及正常和白血病细胞组分中的表达数据整合在一起。所有查询都可以导出到外部站点,以构建TF基因和蛋白质蛋白质网络,并评估基因与细胞过程和组织表达的关联。

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