School of Biological Sciences and Research Center for Functional Cellulomics, Institute of Microbiology, Seoul National University, Seoul 151-747, Republic of Korea.
Genome Biol. 2008 Jan 3;9(1):R2. doi: 10.1186/gb-2008-9-1-r2.
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.
我们提出了一种通过使用来自酿酒酵母的单独的基因表达谱单元以及 ChIP-chip 和基序数据来识别条件特异性调节模块的方法。通过研究获得的条件特异性模块的独特和共同特征，我们检测到转录网络重排的几个重要性质。我们的方法揭示了在共表达基因模块中嵌入的功能不同的核心调节子模块，并提供了一种有效方法来以高分辨率识别各种条件特异性调节事件。
