Optimal temporal patterns for dynamical cellular signaling
Optimal temporal patterns for dynamical cellular signaling
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DOI：
10.1088/1367-2630/18/11/113031
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发表时间：
2016-11-17
影响因子：
3.3
通讯作者：
Hasegawa, Yoshihiko
中科院分区：
文献类型：
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作者：
Hasegawa, Yoshihiko
细胞使用时间动态模式通过信号通路传递信息。由于相对于环境的最优性在生物系统中起着重要作用，生物体已经进化出了传递信息的最佳方式。在这里，我们使用最优控制理论来获得最优信息传输的动态信号模式，在效率（低能量）和可靠性（低不确定性）方面。采用激活-去激活解码网络，我们再现了几个动态模式中发现的实际信号，如陡峭，渐进，和过冲动态。值得注意的是，当最小化输入信号的能量时，最佳信号表现出过冲，这是具有瞬态和稳态相位的双相模式;这种模式在实际动态模式中普遍存在。我们还确定了这三种模式（陡峭，渐进和过冲）赋予优势的条件。我们的研究表明，细胞信号转导是由自由能耗散和不确定性最小化的原则，这些约束作为选择性压力时，设计动态信号模式。
Cells use temporal dynamical patterns to transmit information via signaling pathways. As optimality with respect to the environment plays a fundamental role in biological systems, organisms have evolved optimal ways to transmit information. Here, we use optimal control theory to obtain the dynamical signal patterns for the optimal transmission of information, in terms of efficiency (low energy) and reliability (low uncertainty). Adopting an activation-deactivation decoding network, we reproduce several dynamical patterns found in actual signals, such as steep, gradual, and overshooting dynamics. Notably, when minimizing the energy of the input signal, the optimal signals exhibit overshooting, which is a biphasic pattern with transient and steady phases; this pattern is prevalent in actual dynamical patterns. We also identify conditions in which these three patterns (steep, gradual, and overshooting) confer advantages. Our study shows that cellular signal transduction is governed by the principle of minimizing free energy dissipation and uncertainty; these constraints serve as selective pressures when designing dynamical signaling patterns.