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将计算与实验相结合:理解 T 细胞信号转导的强大耦合。

Pairing computation with experimentation: a powerful coupling for understanding T cell signalling.

机构信息

Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

出版信息

Nat Rev Immunol. 2010 Jan;10(1):59-71. doi: 10.1038/nri2688.

Abstract

T cells are activated when extracellular stimuli, such as a ligand binding to the T cell receptor, are converted into functional outputs by the T cell signalling network. T cell receptor signalling is a highly complex, stochastic and dynamic process involving many interacting proteins. This complexity often confounds intuition, making it difficult to develop mechanistic principles that underly experimental observations. In this Review, we describe how computational approaches can partner successfully with biological experimentation to help address this challenge, and we illustrate this paradigm by summarizing recent work that shows new aspects of the T cell signalling network.

摘要

当细胞外刺激(如配体与 T 细胞受体结合)被 T 细胞信号网络转化为功能输出时,T 细胞被激活。T 细胞受体信号转导是一个高度复杂、随机和动态的过程,涉及许多相互作用的蛋白质。这种复杂性常常使人们难以理解,难以形成潜在实验观察的机制原理。在这篇综述中,我们描述了计算方法如何与生物实验成功合作,以帮助解决这一挑战,并通过总结最近的工作来阐明这一范例,这些工作展示了 T 细胞信号网络的新方面。

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