首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Global network analysis of phenotypic effects: Protein networks and toxicity modulation in Saccharomyces cerevisiae.
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Global network analysis of phenotypic effects: Protein networks and toxicity modulation in Saccharomyces cerevisiae.

机译:表型效应的全球网络分析:酿酒酵母中的蛋白质网络和毒性调节。

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Using genome-wide information to understand holistically how cells function is a major challenge of the postgenomic era. Recent efforts to understand molecular pathway operation from a global perspective have lacked experimental data on phenotypic context, so insights concerning biologically relevant network characteristics of key genes or proteins have remained largely speculative. Here, we present a global network investigation of the genotype/phenotype data set we developed for the recovery of the yeast Saccharomyces cerevisiae from exposure to DNA-damaging agents, enabling explicit study of how protein-protein interaction network characteristics may be associated with phenotypic functional effects. We show that toxicity-modulating proteins have similar topological properties as essential proteins, suggesting that cells initiate highly coordinated responses to damage similar to those needed for vital cellular functions. We also identify toxicologically important protein complexes, pathways, and modules. These results have potential implications for understanding toxicity-modulating processes relevant to a number of human diseases, including cancer and aging.
机译:使用全基因组信息全面了解细胞的功能是后基因组时代的主要挑战。从全局角度了解分子途径操作的最新努力缺乏表型背景下的实验数据,因此关于关键基因或蛋白质的生物学相关网络特征的见解仍在很大程度上是推测性的。在这里,我们对基因组/表型数据集进行了全球网络调查,该数据集是我们开发的用于从暴露于DNA破坏剂中恢复酵母酿酒酵母的方法,从而能够明确研究蛋白质-蛋白质相互作用网络特征如何与表型功能相关效果。我们表明,毒性调节蛋白与必需蛋白具有相似的拓扑特性,这表明细胞启动了高度协调的损伤响应,类似于重要细胞功能所需的损伤。我们还确定了具有重要毒理学意义的蛋白质复合物,途径和模块。这些结果对于理解与许多人类疾病(包括癌症和衰老)有关的毒性调节过程具有潜在的意义。

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