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Analysis of correlations between protein complex and protein-protein interaction and mRNA expression

机译：蛋白质复合物与蛋白质相互作用和mRNA表达之间的相关性分析

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Protein-protein interaction is a physical interaction of two proteins in living cells. In budding yeast Saccharomyces cerevisiae, large-scale protein-protein interaction data have been obtained through high-throughput yeast two-hybrid systems (Y2H)and protein complex purification techniques based on mass-spectrometry. Here, we collect 11855 interactions between total 2617 proteins. Through seriate genome-wide mRNA expression data, similarity between two genes could be measured. Protein complex data can also be obtained publicly and ean be translated to pair relationship that any two proteins can only exist in the same complex or not. Analysis of protein complex data, protein-protein interaction data and mRNA expression data can elucidate correlations between them. The results show that proteins that have interactions or similar expression patterns have a higher possibility to be in the same protein complex than randomized selected proteins, and proteins which have interactions and similar expression patterns are even more possible to exist in the same protein complex. The work indicates that comprehensive integration and analysis of public large-scale bioinformatical data, such as protein complex data, protein-protein interaction data and mRNAexpression data, may help to uncover their relationships and common biological information underlying these data. The strategies described here may help to integrate and analyze other functional genomic and proteomic data, such as gene expression profiling, protein-localization mapping and large-scale phenotypic data, both in yeast and in other organisms.
机译：蛋白质-蛋白质相互作用是活细胞中两种蛋白质的物理相互作用。在高芽酵母酿酒酵母中，通过高通量酵母双杂交系统（Y2H）和基于质谱的蛋白质复合物纯化技术已获得了大规模的蛋白质-蛋白质相互作用数据。在这里，我们收集了总共2617个蛋白之间的11855个相互作用。通过一系列的全基因组mRNA表达数据，可以测量两个基因之间的相似性。蛋白质复合物数据也可以公开获得，并且可以翻译为成对关系，即任何两种蛋白质只能存在于同一复合物中，也可以不存在。对蛋白质复合物数据，蛋白质-蛋白质相互作用数据和mRNA表达数据的分析可以阐明它们之间的相关性。结果表明，具有相互作用或相似表达模式的蛋白质与随机选择的蛋白质相比，具有更高的可能性位于同一蛋白质复合物中，具有相互作用和相似表达模式的蛋白质甚至更有可能存在于同一蛋白质复合物中。这项工作表明，对公共大规模生物信息数据（例如蛋白质复合物数据，蛋白质-蛋白质相互作用数据和mRNA表达数据）进行全面整合和分析，可能有助于揭示它们之间的关系以及这些数据所基于的常见生物学信息。此处描述的策略可能有助于整合和分析酵母和其他生物中的其他功能基因组和蛋白质组数据，例如基因表达谱，蛋白质定位图谱和大规模表型数据。

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