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A critical and integrated view of the yeast interactome

机译：酵母相互作用组的关键和综合观点

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Global studies of protein-protein interactions are crucial to both elucidating gene function and producing an integrated view of the workings of living cells. High-throughput studies of the yeast interactome have been performed using both genetic and biochemical screens. Despite their size, the overlap between these experimental datasets is very limited. This could be due to each approach sampling only a small fraction of the total interactome. Alternatively, a large proportion of the data from these screens may represent false-positive interactions. We have used the Genome Information Management System (GIMS) to integrate interactome datasets with transcriptome and protein annotation data and have found significant evidence that the proportion of false-positive results is high. Not all high-throughput datasets are similarly contaminated, and the tandem affinity purification (TAP) approach appears to yield a high proportion of reliable interactions for which corroborating evidence is available. From our integrative analyses, we have generated a set of verified interactome data for yeast.
机译：蛋白质-蛋白质相互作用的全球研究对于阐明基因功能和产生活细胞工作的综合视图至关重要。酵母相互作用组的高通量研究已使用遗传和生化筛选进行。尽管它们的大小很大，但是这些实验数据集之间的重叠非常有限。这可能是由于每种方法仅对整个交互组的一小部分进行采样。或者，来自这些屏幕的大部分数据可能表示假阳性交互。我们已经使用基因组信息管理系统（GIMS）将交​​互组数据集与转录组和蛋白质注释数据集成在一起，并且发现了明显的证据表明假阳性结果的比例很高。并非所有的高通量数据集都受到类似的污染，并且串联亲和纯化（TAP）方法似乎产生了很大比例的可靠交互作用，对此有确凿的证据。通过我们的综合分析，我们为酵母产生了一组经过验证的相互作用组数据。

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