Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.
Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.
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DOI：
10.1186/gb-2007-8-12-r258
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发表时间：
2007
期刊：
影响因子：
12.3
通讯作者：
Marcotte, Edward M
中科院分区：
文献类型：
--
作者：
McGary, Kriston L;Lee, Insuk;Marcotte, Edward M
酵母基因的功能缺失表型可以从功能基因网络中相邻基因的功能缺失表型中预测出来。这可能会应用于人类疾病基因的预测。我们证明，功能丧失的酵母表型可以通过功能基因网络中的内疚关联来预测。从酵母全基因组分析中测试1,102种功能丧失表型，揭示了不同表型的可预测性，跨越细胞形态、生长、新陈代谢和定量细胞形状特征。我们应用这种方法来扩展全基因组的筛查，通过预测，然后验证其中断延长酵母细胞的基因，并预测人类疾病基因。为了方便网络引导屏幕，可以使用Web服务器。
Loss-of-function phenotypes of yeast genes can be predicted from the loss-of-function phenotypes of their neighbours in functional gene networks. This could potentially be applied to the prediction of human disease genes. We demonstrate that loss-of-function yeast phenotypes are predictable by guilt-by-association in functional gene networks. Testing 1,102 loss-of-function phenotypes from genome-wide assays of yeast reveals predictability of diverse phenotypes, spanning cellular morphology, growth, metabolism, and quantitative cell shape features. We apply the method to extend a genome-wide screen by predicting, then verifying, genes whose disruption elongates yeast cells, and to predict human disease genes. To facilitate network-guided screens, a web server is available .