Emergent properties of networks of biological signaling pathways
Emergent properties of networks of biological signaling pathways
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DOI：
10.1126/science.283.5400.381
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发表时间：
1999-01-15
期刊：
影响因子：
56.9
通讯作者：
Iyengar, R
中科院分区：
文献类型：
--
作者：
Bhalla, US;Iyengar, R
许多不同的信号通路允许细胞接收、处理和响应信息。通常，不同途径的组分相互作用，形成信号网络。生物化学信号网络是用实验获得的常数构建的，并通过计算方法进行分析，以了解它们在复杂生物过程中的作用。这些神经网络表现出涌现的特性，如跨多个时间尺度的信号整合，根据输入强度和持续时间产生不同的输出，以及自我维持的反馈回路。反馈可以导致具有离散稳态活动的非线性行为、用于状态之间的转换的明确定义的输入阈值和延长的信号输出以及响应于瞬态刺激的信号调制。信号网络的这些特性提高了生物系统的“习得行为”的信息可能存储在包含信号通路的细胞内生化反应中的可能性。
Many distinct signaling pathways allow the cell to receive, process, and respond to information. Often, components of different pathways interact, resulting in signaling networks. Biochemical signaling networks were constructed with experimentally obtained constants and analyzed by computational methods to understand their role in complex biological processes. These ner:works exhibit emergent properties such as integration of signals across multiple time scales, generation of distinct outputs depending on input strength and duration, and self-sustaining feedback Loops. Feedback can result in bistable behavior with discrete steady-state activities, well-defined input thresholds for transition between states and prolonged signal output, and signal modulation in response to transient stimuli. These properties of signaling networks raise the possibility that information for "learned behavior" of biological systems may be stored within intracellular biochemical reactions that comprise signaling pathways.