Department of Pharmacology and System Therapeutics, Friedman Brain Institute, Systems Biology Center of New York, Mount Sinai School of Medicine, New York, NY, USA.
Wiley Interdiscip Rev Syst Biol Med. 2012 Jan-Feb;4(1):103-15. doi: 10.1002/wsbm.155. Epub 2011 Jul 15.
Understanding the signaling capabilities of a cell presents a major challenge, not only due to the number of molecules involved, but also because of the complex network connectivity of intracellular signaling. Recently, the proliferation of quantitative imaging techniques has led to the discovery of the vast spatial organization of intracellular signaling. Computational modeling has emerged as a powerful tool for understanding how inhomogeneous signaling originates and is maintained. This article covers the current imaging techniques used to obtain quantitative spatial data and the mathematical approaches used to model spatial cell biology. Modeling-derived hypotheses have been experimentally tested and the integration of modeling and imaging approaches has led to non-intuitive mechanistic insights.
理解细胞的信号转导功能是一个重大挑战，不仅因为涉及的分子数量众多，还因为细胞内信号转导的复杂网络连接。最近，定量成像技术的激增使得人们发现了细胞内信号转导的巨大空间组织。计算建模已成为理解不均匀信号起源和维持的强大工具。本文涵盖了用于获取定量空间数据的当前成像技术以及用于对空间细胞生物学进行建模的数学方法。通过实验测试了基于模型的假说，并且建模和成像方法的整合带来了非直观的机械洞察力。
