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Theory for the optimal detection of time-varying signals in cellular sensing systems

机译:蜂窝感测系统中时变信号的最佳检测理论

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摘要

Living cells often need to measure chemical concentrations that vary in time, yet how accurately they can do so is poorly understood. Here, we present a theory that fully specifies, without any adjustable parameters, the optimal design of a canonical sensing system in terms of two elementary design principles: (1) there exists an optimal integration time, which is determined by the input statistics and the number of receptors; and (2) in the optimally designed system, the number of independent concentration measurements as set by the number of receptors and the optimal integration time equals the number of readout molecules that store these measurements and equals the work to store these measurements reliably; no resource is then in excess and hence wasted. Applying our theory to the Escherichia coli chemotaxis system indicates that its integration time is not only optimal for sensing shallow gradients but also necessary to enable navigation in these gradients.
机译:活细胞通常需要测量随时间变化的化学浓度,但它们可以做出准确程度的理解。在这里,我们提出了一个完全指定的理论,没有任何可调参数,在两个基本设计原则方面,规范感测系统的最佳设计:(1)存在最佳的集成时间,该时间由输入统计数据和受体的数量; (2)在最佳设计的系统中,由受体的数量和最佳积分时间设定的独立浓度测量的数量等于存储这些测量的读出分子的数量,并等于可靠地存储这些测量的工作;没有资源过多,因此浪费了。将我们的理论应用于大肠杆菌化学系统,表明其集成时间不仅是对传感浅梯度的最佳选择,而且还必须在这些渐变中启用导航。

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