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大规模分析人类癌症的网络双稳性。

Large-scale analysis of network bistability for human cancers.

机构信息

Sony Computer Science Laboratories, Shinagawa-ku, Tokyo, Japan.

出版信息

PLoS Comput Biol. 2010 Jul 8;6(7):e1000851. doi: 10.1371/journal.pcbi.1000851.

Abstract

Protein-protein interaction and gene regulatory networks are likely to be locked in a state corresponding to a disease by the behavior of one or more bistable circuits exhibiting switch-like behavior. Sets of genes could be over-expressed or repressed when anomalies due to disease appear, and the circuits responsible for this over- or under-expression might persist for as long as the disease state continues. This paper shows how a large-scale analysis of network bistability for various human cancers can identify genes that can potentially serve as drug targets or diagnosis biomarkers.

摘要

蛋白质-蛋白质相互作用和基因调控网络可能会被一个或多个表现出开关行为的双稳态电路的行为锁定在与疾病相对应的状态。当疾病出现异常时,一组基因可能会过度表达或受到抑制,而负责这种过度或低表达的电路可能会持续存在,只要疾病状态持续存在。本文展示了如何通过对各种人类癌症的网络双稳态进行大规模分析,来识别可能作为药物靶点或诊断生物标志物的基因。

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