Scale-free networks in cell biology
Scale-free networks in cell biology
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DOI：
10.1242/jcs.02714
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发表时间：
2005-11-01
影响因子：
4
通讯作者：
Albert, R
中科院分区：
文献类型：
--
作者：
Albert, R
细胞的行为是其众多成分之间复杂相互作用的结果，如DNA、RNA、蛋白质和小分子。细胞使用信号通路和调节机制来协调多个过程，使它们能够响应和适应不断变化的环境。在新出现的综合基因组和蛋白质组分析中，细胞网络的大量成分、互联程度和复杂控制变得越来越明显。人们越来越认识到，对全细胞功能产生的特性的理解需要对不同细胞成分之间的关系进行完整的、理论上的描述。最近的理论进展使我们能够用图的概念来描述细胞网络结构，并揭示了许多非生物网络共有的组织特征。我们现在有机会定量地描述一个由成百上千个相互作用的组件组成的网络。此外，观察到的蜂窝网络的拓扑结构给我们提供了关于它们的进化以及它们的组织如何影响它们的功能和动态响应的线索。
A cell's behavior is a consequence of the complex interactions between its numerous constituents, such as DNA, RNA, proteins and small molecules. Cells use signaling pathways and regulatory mechanisms to coordinate multiple processes, allowing them to respond to and adapt to an ever-changing environment. The large number of components, the degree of interconnectivity and the complex control of cellular networks are becoming evident in the integrated genomic and proteomic analyses that are emerging. It is increasingly recognized that the understanding of properties that arise from whole-cell function require integrated, theoretical descriptions of the relationships between different cellular components. Recent theoretical advances allow us to describe cellular network structure with graph concepts and have revealed organizational features shared with numerous non-biological networks. We now have the opportunity to describe quantitatively a network of hundreds or thousands of interacting components. Moreover, the observed topologies of cellular networks give us clues about their evolution and how their organization influences their function and dynamic responses.