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原文連結
論文資訊
- 類型:已發表論文
- 日期:2012
摘要
Transcriptional profiling has been widely used as a tool for unveiling the coregulations of genes in response to 遺傳 and environmental perturbations. These coregulations have been used, in a few instances, to infer global transcriptional regulatory models. Here, using the large amount of transcriptomic 資訊 available for the bacterium Escherichia coli, we seek to understand the design principles determining the regulation of its transcriptome. Combining transcriptomic and signaling data, we develop an 演化ary 計算 procedure that allows obtaining alternative genomic transcriptional regulatory 網絡 (GTRN) that still maintains its adaptability to dynamic environments. We apply our methodology to an E. coli GTRN and show that it could be rewired to simpler transcriptional regulatory structures. These r
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