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迈向基因组规模的信号网络重建。

Towards genome-scale signalling network reconstructions.

机构信息

Department of Bioengineering, University of California-San Diego, 9500 Gilman Drive, La Jolla, California 92093-0412, USA.

出版信息

Nat Rev Genet. 2010 Apr;11(4):297-307. doi: 10.1038/nrg2750.

Abstract

Biological signalling networks allow living organisms to issue an integrated response to current conditions and make limited predictions about future environmental changes. Small-scale dynamic models of signalling cascades, including mitogen-activated protein kinase cascades, have been developed to generate hypotheses about signal transduction. Owing to technical limitations, these models and the hypotheses they generate have focused on a limited subset of signalling molecules. Now that we can simultaneously measure a substantial portion of the molecular components of a cell, we can begin to develop and test systems-level models of cellular signalling and regulatory processes, therefore gaining insights into the 'thought' processes of a cell.

摘要

生物信号网络使生物体能够对当前状态做出综合反应,并对未来环境变化做出有限的预测。已经开发了包括丝裂原活化蛋白激酶级联在内的信号转导小尺度动态模型,以生成关于信号转导的假设。由于技术限制,这些模型和它们生成的假设仅集中在信号分子的有限子集上。现在,我们可以同时测量细胞的大部分分子成分,因此我们可以开始开发和测试细胞信号和调节过程的系统级模型,从而深入了解细胞的“思维”过程。

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