McGary Kriston L, Lee Insuk, Marcotte Edward M
Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, 2500 Speedway, Austin, Texas 78712, USA.
Genome Biol. 2007;8(12):R258. doi: 10.1186/gb-2007-8-12-r258.
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 http://www.yeastnet.org.
我们证明,功能缺失型酵母表型在功能基因网络中可通过关联有罪原则来预测。对酵母全基因组分析中的1102种功能缺失型表型进行测试,结果显示出多种表型的可预测性,这些表型涵盖细胞形态、生长、代谢以及定量细胞形状特征。我们应用该方法,通过预测并验证其破坏会使酵母细胞伸长的基因来扩展全基因组筛选,并预测人类疾病基因。为便于进行网络引导的筛选,可通过http://www.yeastnet.org访问一个网络服务器。