Tyson John J, Novák Béla
Department of Biological Sciences and Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA.
Annu Rev Phys Chem. 2010;61:219-40. doi: 10.1146/annurev.physchem.012809.103457.
The signal-response characteristics of a living cell are determined by complex networks of interacting genes, proteins, and metabolites. Understanding how cells respond to specific challenges, how these responses are contravened in diseased cells, and how to intervene pharmacologically in the decision-making processes of cells requires an accurate theory of the information-processing capabilities of macromolecular regulatory networks. Adopting an engineer's approach to control systems, we ask whether realistic cellular control networks can be decomposed into simple regulatory motifs that carry out specific functions in a cell. We show that such functional motifs exist and review the experimental evidence that they control cellular responses as expected.
活细胞的信号响应特性由相互作用的基因、蛋白质和代谢物组成的复杂网络决定。了解细胞如何应对特定挑战、这些反应在患病细胞中是如何被破坏的,以及如何在细胞的决策过程中进行药物干预,需要一个关于大分子调控网络信息处理能力的准确理论。我们采用工程师对控制系统的方法,探究现实的细胞控制网络是否可以分解为在细胞中执行特定功能的简单调控基序。我们证明了这种功能基序的存在,并回顾了表明它们如预期那样控制细胞反应的实验证据。