A relationship between gene expression and protein interactions on the proteome scale:: analysis of the bacteriophage T7 and the yeast Saccharomyces cerevisiae
A relationship between gene expression and protein interactions on the proteome scale:: analysis of the bacteriophage T7 and the yeast Saccharomyces cerevisiae
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DOI：
10.1093/nar/29.17.3513
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发表时间：
2001-09-01
影响因子：
14.9
通讯作者：
Grigoriev, A
中科院分区：
文献类型：
--
作者：
Grigoriev, A
一对基因的表达模式的相似性和它们编码的蛋白质的相互作用之间的关系被证明为简单的基因组的噬菌体T7和相当复杂的基因组的酵母酿酒酵母。大规模基因表达和蛋白质相互作用数据的统计分析表明，由共表达基因编码的蛋白质对相互作用比随机蛋白质更频繁。此外，表达谱的平均相似性是显着高于各自的相互作用的蛋白质对比随机的。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示。表达和相互作用之间的这种联系的作用，从单体到寡聚蛋白质结构的演变也进行了讨论。
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 coexpressed 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.