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

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 modern 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.However,because of the noise inherent in these data and the fact that each data source only provides partial information about regulation,combining multiple types of data to improve their ability to infer cooperative TFs is advantageous”1-3”.

机标关键词：data、transcriptional regulation、transcription factors、partial information、genomic sequences、multiple、gene expression、interactions、TFs、challenge、profiles、remains、improve、control、region、modern、major

所属期刊栏目：20

分类号：Q2(细胞生物学)

资助基金：the National Basic Research Program of China2009CB918404;2006CB910700;International S&T Cooperation Program of China2007DFA31040;the National Natural Science Foundation of China30700154;31070746

在线出版日期：2010-12-31（万方平台首次上网日期，不代表论文的发表时间）

页码：1276-1278