抖振环境下蜂窝信号的积分
Integration of cellular signals in chattering environments
摘要：
细胞经常暴露在波动的环境条件下。细胞信号转导网络对外界信号进行感知、处理和整合，通过生化反应将输入信号转化为特定的细胞反应。这些网络具有复杂的性质，我们仍然远远没有完全描述它们整合信息的过程，特别是考虑到信息嵌入的嘈杂环境。在过去的几十年里，在物理科学中已经报道了许多噪音的建设性影响的例子，在这里，我们探讨了如何在存在背景噪音或颤振的真核细胞中整合多个信号。为此，我们使用一个典型的人类信号转导网络的布尔模型。尽管它的复杂性，我们发现，该网络能够显示简单的信号整合模式。此外，我们的计算分析表明，这些整合模式取决于其他细胞输入所携带的波动背景活动的水平。两者合计，我们的研究结果表明，信号整合是敏感的环境波动，这种背景噪声有效地确定了细胞的信息整合能力。
英文摘要：
Cells are constantly exposed to fluctuating environmental conditions. External signals are sensed, processed and integrated by cellular signal transduction networks, which translate input signals into specific cellular responses by means of biochemical reactions. These networks have a complex nature, and we are still far from having a complete characterization of the process through which they integrate information, specially given the noisy environment in which that information is embedded. Guided by the many instances of constructive influences of noise that have been reported in the physical sciences in the last decades, here we explore how multiple signals are integrated in an eukaryotic cell in the presence of background noise, or chatter. To that end, we use a Boolean model of a typical human signal transduction network. Despite its complexity, we find that the network is able to display simple patterns of signal integration. Furthermore, our computational analysis shows that these integration patterns depend on the levels of fluctuating background activity carried by other cell inputs. Taken together, our results indicate that signal integration is sensitive to environmental fluctuations, and that this background noise effectively determines the information integration capabilities of the cell.
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