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转化生长因子-β超家族配体-受体网络中的信号处理

Signal processing in the TGF-beta superfamily ligand-receptor network.

作者信息

Vilar Jose M G, Jansen Ronald, Sander Chris

机构信息

Integrative Biological Modeling Laboratory, Computational Biology Program, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.

出版信息

PLoS Comput Biol. 2006 Jan;2(1):e3. doi: 10.1371/journal.pcbi.0020003. Epub 2006 Jan 27.

Abstract

The TGF-beta pathway plays a central role in tissue homeostasis and morphogenesis. It transduces a variety of extracellular signals into intracellular transcriptional responses that control a plethora of cellular processes, including cell growth, apoptosis, and differentiation. We use computational modeling to show that coupling of signaling with receptor trafficking results in a highly versatile signal-processing unit, able to sense by itself absolute levels of ligand, temporal changes in ligand concentration, and ratios of multiple ligands. This coupling controls whether the response of the receptor module is transient or permanent and whether or not different signaling channels behave independently of each other. Our computational approach unifies seemingly disparate experimental observations and suggests specific changes in receptor trafficking patterns that can lead to phenotypes that favor tumor progression.

摘要

转化生长因子-β(TGF-β)信号通路在组织稳态和形态发生中起着核心作用。它将多种细胞外信号转化为细胞内转录反应,从而控制大量细胞过程,包括细胞生长、凋亡和分化。我们通过计算建模表明,信号传导与受体运输的耦合产生了一个高度通用的信号处理单元,它能够自行感知配体的绝对水平、配体浓度的时间变化以及多种配体的比例。这种耦合控制着受体模块的反应是短暂的还是永久的,以及不同的信号通道是否相互独立。我们的计算方法统一了看似不同的实验观察结果,并提出了受体运输模式的特定变化,这些变化可能导致有利于肿瘤进展的表型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f52/1356091/a506c75b2ff6/pcbi.0020003.g001.jpg

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