知觉
背景(考古学)
多细胞生物
国家(计算机科学)
计算机科学
蜂窝网络
信号
因子(编程语言)
感知
生物
细胞生物学
神经科学
细胞
计算机网络
程序设计语言
古生物学
遗传学
算法
作者
Bernhard A. Kramer,Jacobo Sarabia del Castillo,Lucas Pelkmans
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2022-08-05
卷期号:377 (6606): 642-648
被引量:19
标识
DOI:10.1126/science.abf4062
摘要
Individual cells make decisions that are adapted to their internal state and surroundings, but how cells can reliably do this remains unclear. To study the information processing capacity of human cells, we conducted multiplexed quantification of signaling responses and markers of the cellular state. Signaling nodes in a network displayed adaptive information processing, which led to heterogeneous growth factor responses and enabled nodes to capture partially nonredundant information about the cellular state. Collectively, as a multimodal percept this gives individual cells a large information processing capacity to accurately place growth factor concentration within the context of their cellular state and make cellular state–dependent decisions. Heterogeneity and complexity in signaling networks may have coevolved to enable specific and context-aware cellular decision-making in a multicellular setting.
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