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A relationship between gene expression and protein interactions on the proteome scale: analysis of the bacteriophage T7 and the yeast Saccharomyces cerevisiae

机译:蛋白质组规模上基因表达与蛋白质相互作用之间的关系:噬菌体T7和酵母酿酒酵母的分析

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摘要

The relationship between the similarity of expression patterns for a pair of genes and interaction of the proteins they encode is demonstrated both for the simple genome of the bacteriophage T7 and the considerably more complex genome of the yeast Saccharomyces cerevisiae. Statistical analysis of large-scale gene expression and protein interaction data shows that protein pairs encoded by co-expressed genes interact with each other more frequently than with random proteins. Furthermore, the mean similarity of expression profiles is significantly higher for respective interacting protein pairs than for random ones. Such coupled analysis of gene expression and protein interaction data may allow evaluation of the results of large-scale gene expression and protein interaction screens as demonstrated for several publicly available datasets. The role of this link between expression and interaction in the evolution from monomeric to oligomeric protein structures is also discussed.
机译:一对基因的表达模式的相似性与它们编码的蛋白质相互作用之间的关系,不仅在噬菌体T7的简单基因组中,而且在酿酒酵母中也更为复杂。对大规模基因表达和蛋白质相互作用数据的统计分析表明,与随机蛋白质相比,由共表达基因编码的蛋白质对之间相互作用的频率更高。此外,各个相互作用蛋白对的表达谱的平均相似性明显高于随机蛋白对。基因表达和蛋白质相互作用数据的这种耦合分析可以允许评估大规模基因表达和蛋白质相互作用筛选的结果,如几个公开可用的数据集所证明的。还讨论了表达和相互作用之间的这种联系在从单体到寡聚蛋白结构的进化中的作用。

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