A critical and integrated view of the yeast interactome.

A critical and integrated view of the yeast interactome.
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DOI:
10.1002/cfg.412
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发表时间:
2004
影响因子:
--
通讯作者:
Oliver, Stephen G
Oliver, Stephen G
中科院分区:
其他
文献类型:
--
作者:
Cornell, Michael;Paton, Norman W;Oliver, Stephen G

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蛋白质-蛋白质相互作用的全球研究对于阐明基因功能和对活细胞的工作方式产生完整的看法都是至关重要的。利用遗传和生化筛选对酵母相互作用组进行了高通量研究。尽管它们的规模很大,但这些实验数据集之间的重叠非常有限。这可能是因为每种方法只对整个相互作用组的一小部分进行了采样。或者,来自这些屏幕的很大一部分数据可能代表误报交互。我们已经使用基因组信息管理系统(GIMS)将相互作用的数据集与转录组和蛋白质注释数据进行了整合,并发现了显著的证据表明假阳性结果的比例很高。并不是所有的高通量数据集都受到类似的污染,串联亲和纯化(TAP)方法似乎产生了高比例的可靠相互作用,并有确凿证据可用。从我们的综合分析中,我们已经生成了一组经过验证的酵母互作组数据。
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.