BloodChIP: a database of comparative genome-wide transcription factor binding profiles in human blood cells.
BloodChIP: a database of comparative genome-wide transcription factor binding profiles in human blood cells.
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DOI：
10.1093/nar/gkt1036
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发表时间：
2014-01
影响因子：
14.9
通讯作者：
Pimanda JE
中科院分区：
文献类型：
--
作者：
Chacon D;Beck D;Perera D;Wong JW;Pimanda JE
BloodChIP数据库（http：//www.med.unsw.edu.au/CRCWeb.nsf/page/BloodChIP）支持在人CD 34阳性细胞和其他正常细胞和白血病细胞中特定基因座处结合的组合转录因子（TF）的探索和可视化，或检索一种或多种细胞类型中用户定义的TF组合的靶基因集。越来越多的全基因组TF结合谱被添加到公共知识库，这一趋势可能会继续下去。为了让实验科学家充分利用这些数据集的力量，需要将这些数据放在背景中，并使下游应用程序易于访问。为此，我们建立了一个用户友好的数据库，其核心是人类干/祖细胞中七个关键造血TF的全基因组结合谱。将这些结合谱与正常分化细胞和白血病细胞中的结合谱进行比较。我们已经整合了这些TF结合谱与染色质标记和正常和白血病细胞组分中的表达数据。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。
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.
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影响因子：
14.9
作者：
Rustici G;Kolesnikov N;Brandizi M;Burdett T;Dylag M;Emam I;Farne A;Hastings E;Ison J;Keays M;Kurbatova N;Malone J;Mani R;Mupo A;Pedro Pereira R;Pilicheva E;Rung J;Sharma A;Tang YA;Ternent T;Tikhonov A;Welter D;Williams E;Brazma A;Parkinson H;Sarkans U
通讯作者：
Sarkans U
影响因子：
120.7
作者：
Gentles, Andrew J.;Plevritis, Sylvia K.;Majeti, Ravindra;Alizadeh, Ash A.
通讯作者：
Alizadeh, Ash A.
影响因子：
82.9
作者：
Eppert, Kolja;Takenaka, Katsuto;Dick, John E.
通讯作者：
Dick, John E.
影响因子：
20.3
作者：
Beck, Dominik;Thoms, Julie A. I.;Pimanda, John E.
通讯作者：
Pimanda, John E.
影响因子：
14.9
作者：
Franceschini A;Szklarczyk D;Frankild S;Kuhn M;Simonovic M;Roth A;Lin J;Minguez P;Bork P;von Mering C;Jensen LJ
通讯作者：
Jensen LJ