基因调控和代谢的相互依赖网络在需要的地方是强大的
The interdependent network of gene regulation and metabolism is robust where it needs to be
摘要：
活细胞的主要生物化学网络，相互作用的基因网络和生物化学反应网络，是高度相互依赖的，然而，迄今为止，它们大多作为独立的系统进行研究。在过去的几年中，一个适当的理论框架，研究相互依存的网络已经发展的统计物理学的背景下。在这里，我们研究的相互依存网络的基因调控和代谢的模式生物大肠杆菌使用的理论框架，相互依存的网络。特别是，我们的目标是了解生物系统如何能够巩固冲突的任务，快速反应（内部和外部）的扰动，同时是强大的微小的环境波动，在同一时间。为此，我们研究了网络对局部扰动的响应，发现相互依赖的网络对基因调控和蛋白质水平的扰动敏感，但对代谢变化具有鲁棒性。相互依赖网络理论在系统生物学中的首次定量应用表明，研究网络对局部扰动的反应可以作为分析广泛的其他相互依赖网络的有用策略。
英文摘要：
The major biochemical networks of the living cell, the network of interacting genes and the network of biochemical reactions, are highly interdependent, however, they have been studied mostly as separate systems so far. In the last years an appropriate theoretical framework for studying interdependent networks has been developed in the context of statistical physics. Here we study the interdependent network of gene regulation and metabolism of the model organism Escherichia coli using the theoretical framework of interdependent networks. In particular we aim at understanding how the biological system can consolidate the conflicting tasks of reacting rapidly to (internal and external) perturbations, while being robust to minor environmental fluctuations, at the same time. For this purpose we study the network response to localized perturbations and find that the interdependent network is sensitive to gene regulatory and protein-level perturbations, yet robust against metabolic changes. This first quantitative application of the theory of interdependent networks to systems biology shows how studying network responses to localized perturbations can serve as a useful strategy for analyzing a wide range of other interdependent networks.
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