Fundamental Limits to Cellular Sensing
Fundamental Limits to Cellular Sensing
复制标题
细胞传感的基本限制
DOI：
--
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
A. Mugler
中科院分区：
文献类型：
--
作者：
P. R. ten Wolde;N. Becker;T. Ouldridge;A. Mugler
近年来的实验表明，活细胞可以高精度地测量低浓度的化学物质，并且在理解是什么限制了化学传感的精度方面取得了很大进展。化学浓度测量始于配体分子与受体蛋白的结合，这是一个固有的嘈杂过程，特别是在低浓度下。将配体浓度信息从受体传递到细胞的信号网络必须尽可能地过滤这些受体输入的噪声。然而，这些网络在本质上也是随机的，这意味着它们也会给传输的信号增加噪声。在这篇综述中，我们将首先讨论配体与受体的扩散运输和结合是如何设定受体相关时间的，受体相关时间是由随机受体-配体结合引起的受体状态波动衰减的时间尺度。然后，我们描述了下游信号通路如何整合这些受体状态波动，以及下游网络设置的受体数量、受体相关时间和有效整合时间如何共同对传感精度施加基本限制。然后，我们讨论细胞如何去除受体输入噪声，同时抑制信号网络中的固有噪声。我们描述了为什么这种时间整合机制需要三类（组）资源——受体及其整合时间、读出分子、能量——以及每种资源如何设定基本的感知限制。我们还简要讨论了最大似然估计方案，受体协同性的作用，以及细胞复制协议与计算文献中通常考虑的规范复制协议的不同之处，解释了为什么细胞传感系统永远无法达到准确性和能量成本之间最佳权衡的兰道尔极限。
In recent years experiments have demonstrated that living cells can measure low chemical concentrations with high precision, and much progress has been made in understanding what sets the fundamental limit to the precision of chemical sensing. Chemical concentration measurements start with the binding of ligand molecules to receptor proteins, which is an inherently noisy process, especially at low concentrations. The signaling networks that transmit the information on the ligand concentration from the receptors into the cell have to filter this receptor input noise as much as possible. These networks, however, are also intrinsically stochastic in nature, which means that they will also add noise to the transmitted signal. In this review, we will first discuss how the diffusive transport and binding of ligand to the receptor sets the receptor correlation time, which is the timescale over which fluctuations in the state of the receptor, arising from the stochastic receptor-ligand binding, decay. We then describe how downstream signaling pathways integrate these receptor-state fluctuations, and how the number of receptors, the receptor correlation time, and the effective integration time set by the downstream network, together impose a fundamental limit on the precision of sensing. We then discuss how cells can remove the receptor input noise while simultaneously suppressing the intrinsic noise in the signaling network. We describe why this mechanism of time integration requires three classes (groups) of resources—receptors and their integration time, readout molecules, energy—and how each resource class sets a fundamental sensing limit. We also briefly discuss the scheme of maximum-likelihood estimation, the role of receptor cooperativity, and how cellular copy protocols differ from canonical copy protocols typically considered in the computational literature, explaining why cellular sensing systems can never reach the Landauer limit on the optimal trade-off between accuracy and energetic cost.
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影响因子：
62.1
作者：
Schreiber, G.;Haran, G.;Zhou, H-X
通讯作者：
Zhou, H-X
DOI：
10.1073/pnas.89.8.3338
发表时间：
1992-04-15
影响因子：
11.1
作者：
NORTHRUP, SH;ERICKSON, HP
通讯作者：
ERICKSON, HP
影响因子：
8.6
作者：
Hu B;Chen W;Rappel WJ;Levine H
通讯作者：
Levine H
DOI：
10.1073/pnas.0504321102
发表时间：
2005-07-19
影响因子：
11.1
作者：
Bialek, W;Setayeshgar, S
通讯作者：
Setayeshgar, S
DOI：
10.1103/physreve.79.051901
发表时间：
2007-12
期刊：
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子：
--
作者：
G. Tkačik;W. Bialek
通讯作者：
G. Tkačik;W. Bialek