High-resolution analysis of condition-specific regulatory modules in Saccharomyces cerevisiae.
We present an approach for identifying condition-specific regulatory modules by using separate units of gene expression profiles along with ChIP-chip and motif data from Saccharomyces cerevisiae. By investigating the unique and common features of the obtained condition-specific modules, we detected several important properties of transcriptional network reorganization. Our approach reveals the functionally distinct coregulated submodules embedded in a coexpressed gene module and provides an effective method for identifying various condition-specific regulatory events at high resolution.
Lee
Hun-Goo
HG
School of Biological Sciences and Research Center for Functional Cellulomics, Institute of Microbiology, Seoul National University, Seoul 151-747, Republic of Korea.
Lee
Hyo-Soo
HS
Jeon
Sang-Hoon
SH
Chung
Tae-Hoon
TH
Lim
Young-Sung
YS
Huh
Won-Ki
WK
D020869:Gene Expression Profiling; D015966:Gene Expression Regulation, Fungal; D053263:Gene Regulatory Networks / Q000235:genetics*; D012441:Saccharomyces cerevisiae / Q000235:genetics*