Department of Microbial and Molecular Systems, KU Leuven, KasteelparkArenberg 20, 3001 Leuven, Belgium.
Curr Opin Microbiol. 2011 Oct;14(5):599-607. doi: 10.1016/j.mib.2011.09.003. Epub 2011 Sep 21.
Molecular entities present in a cell (mRNA, proteins, metabolites,…) do not act in isolation, but rather in cooperation with each other to define an organisms form and function. Their concerted action can be viewed as networks of interacting entities that are active under certain conditions within the cell or upon certain environmental signals. A main challenge in systems biology is to model these networks, or in other words studying which entities interact to form cellular systems or accomplish similar functions. On the contrary, viewing a single entity or an experimental dataset in the light of an interaction network can reveal previous unknown insights in biological processes. In this review we give an overview of how integrated networks can be reconstructed from multiple omics data and how they can subsequently be used for network-based modeling of cellular function in bacteria.
细胞中存在的分子实体（mRNA、蛋白质、代谢物等）不是孤立地发挥作用，而是相互协作，以定义生物体的形态和功能。它们的协同作用可以看作是相互作用的实体网络，这些实体在细胞内特定条件下或特定环境信号下是活跃的。系统生物学的一个主要挑战是对这些网络进行建模，换句话说，就是研究哪些实体相互作用形成细胞系统或完成类似的功能。相反，从相互作用网络的角度来看单个实体或实验数据集，可以揭示生物过程中以前未知的见解。在这篇综述中，我们概述了如何从多个组学数据中重建综合网络，以及如何随后将它们用于基于网络的细菌细胞功能建模。
