一种用于模拟细胞稳态与刺激反应性之间关系的框架。
A framework for modeling the relationship between cellular steady-state and stimulus-responsiveness.
作者信息
Loriaux Paul M, Hoffmann Alexander
机构信息
Signaling Systems Laboratory, San Diego Center for Systems Biology of Cellular Stress Responses, Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, California, USA.
出版信息
Methods Cell Biol. 2012;110:81-109. doi: 10.1016/B978-0-12-388403-9.00004-7.
In cell signaling systems, the abundances of signaling molecules are generally thought to determine the response to stimulation. However, the kinetics of molecular processes, for example receptor trafficking and protein turnover, may also play an important role. Few studies have systematically examined this relationship between the resting state and stimulus-responsiveness. Fewer still have investigated the relative contribution of steady-state concentrations and reaction kinetics. Here we describe a mathematical framework for modeling the resting state of signaling systems. Among other things, this framework allows steady-state concentration measurements to be used in parameterizing kinetic models, and enables comprehensive characterization of the relationship between the resting state and the cellular response to stimulation.
在细胞信号传导系统中，通常认为信号分子的丰度决定了对刺激的反应。然而，分子过程的动力学，例如受体运输和蛋白质周转，也可能起重要作用。很少有研究系统地研究静息状态与刺激反应性之间的这种关系。更少有人研究稳态浓度和反应动力学的相对贡献。在这里，我们描述了一个用于对信号系统的静息状态进行建模的数学框架。除其他外，该框架允许将稳态浓度测量用于动力学模型的参数化，并能够全面表征静息状态与细胞对刺激的反应之间的关系。
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