Identifying combinatorial transcription factor interactions with microarray data and ChIP-chip data
Combinatorial interactions of transcription factors play a key role in modulating transcriptional regulatory mechanisms in Saccharomyces cerevisiae. Here we apply correlation analysis to search potential combinatorial TF interactions with the integration of microarray data and ChIPchip data. Our results find that (ⅰ) eight significant cell cycle activators Ace2, Fkh1, Fkh2, Mbp1, Ndd1, Swi4, Swi5, Swi6 are calculated to positively correlate with their respective targets; (ⅱ) seven TF pairs in nine important pairs have statistical correlation with their targets and three TF triplets in five triplets predicted by literature statistically correlate with shared targets. These results may highlight the enrichment of combinatorial TF interactions with statistical correlation. Besides, twenty-two TFs including the eight cell cycle activators are inferred to potentially interact with other TFs to regulate gene transcription in S. cerevisiae.
combinatorial TF interactions microarray data ChIP-chip data average composite ezpression profile time-lagged correlation
Ting Chen Feng Li
Dept. of Electrical Engineering Fudan University Shanghai, China
国际会议
上海
英文
229-232
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）