Identifying cooperative transcription factors by combining ChiP-chip data and knockout data  

作　　者：Yi Yang Zili Zhang Yixue Li Xin-Guang Zhu Qi Liu 

机构地区：[1]School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China [2]Faculty of Computer and Information Science, Southwest University, Chongqing 400715, China [3]CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy Sciences, Shanghai 200031, China

出　　处：《Cell Research》2010年第11期1276-1278,共3页细胞研究(英文版)

基　　金：This work was supported by the National Basic Research Program of China (Grant Nos. 2009CB918404 and 2006CB910700), International S&T Cooperation Program of China (Grant No. 2007DFA31040) and the National Natural Science Foundation of China (Grant Nos. 30700154 and 31070746).

摘　　要：Dear Editor, Eukaryotic transcriptional regulation networks are extremely complex. Usually, multiple transcription factors (TFs) bind to the promoter region of a gene and cooperate to control gene expression precisely. Identifying cooperative TFs remains a major challenge in modem biological research. Various types of data, including genomic sequences, expression profiles, ChiP-chip data and protein-protein interactions, have been used to identify mechanisms of cooperative transcriptional regulation.

关 键 词：转录因子 基因敲除 合作 数据资料 芯片 识别 真核基因转录 基因组序列 

分 类 号：Q753[生物学—分子生物学] Q78