Robustness against additional noise in cellular information transmission
Robustness against additional noise in cellular information transmission
复制标题
针对蜂窝信息传输中额外噪声的鲁棒性
DOI：
10.1103/physreve.100.042403
复制
发表时间：
2019
影响因子：
2.4
通讯作者：
Kuroda Shinya
中科院分区：
文献类型：
--
作者：
Tottori Takehiro;Fujii Masashi;Kuroda Shinya
细胞内反应的波动（固有噪声）减少了从细胞外输入到细胞反应的信息。然而，最近的研究表明，当内在噪声较大时，相对于细胞外输入波动（外在噪声）的传输信息的减少较小。因此，有人建议，对外在噪声的鲁棒性随着内在噪声的水平而增加。我们称这种现象为固有噪声诱导鲁棒性（INIR）。由于以前对这一现象的研究主要集中在复杂的生物化学反应上，因此INIR与系统输入-输出之间的关系尚不清楚。此外，INIR的机制仍然难以捉摸。在本文中，我们通过分析简单的模型来解决这些问题。我们首先分析一个投入产出关系为线性的模型。我们表明，对外部噪声的鲁棒性增加与固有噪声，确认INIR现象。当本征噪声的方差大于输入分布的方差时，系统对外噪声的鲁棒性更依赖于本征噪声。接下来，我们分析一个阈值模型，其中输出取决于输入是否超过阈值。当阈值等于输入的均值时，实现了INIR，但是当阈值远大于均值时，阈值模型表现出随机共振，并且INIR并不总是明显的。在线性模型和无随机共振的阈值模型中，对外界噪声的鲁棒性和传输信息的鲁棒性可以相互权衡，而在有随机共振的阈值模型中，它们可以同时得到提高。
Fluctuations in intracellular reactions (intrinsic noise) reduce the information transmitted from an extracellular input to a cellular response. However, recent studies have demonstrated that the decrease in the transmitted information with respect to extracellular input fluctuations (extrinsic noise) is smaller when the intrinsic noise is larger. Therefore, it has been suggested that robustness against extrinsic noise increases with the level of the intrinsic noise. We call this phenomenon intrinsic noise-induced robustness (INIR). As previous studies on this phenomenon have focused on complex biochemical reactions, the relation between INIR and the input-output of a system is unclear. Moreover, the mechanism of INIR remains elusive. In this paper, we address these questions by analyzing simple models. We first analyze a model in which the input-output relation is linear. We show that the robustness against extrinsic noise increases with the intrinsic noise, confirming the INIR phenomenon. Moreover, the robustness against the extrinsic noise is more strongly dependent on the intrinsic noise when the variance of the intrinsic noise is larger than that of the input distribution. Next, we analyze a threshold model in which the output depends on whether the input exceeds the threshold. When the threshold is equal to the mean of the input, INIR is realized, but when the threshold is much larger than the mean, the threshold model exhibits stochastic resonance, and INIR is not always apparent. The robustness against extrinsic noise and the transmitted information can be traded off against one another in the linear model and the threshold model without stochastic resonance, whereas they can be simultaneously increased in the threshold model with stochastic resonance.