Broad network-based predictability of <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>gene loss-of-function phenotypes |
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Authors: | Kriston L McGary Insuk Lee Edward M Marcotte |
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Institution: | (1) Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, 2500 Speedway, Austin, Texas 78712, USA;(2) Department of Chemistry & Biochemistry, University of Texas at Austin, 2500 Speedway, Austin, Texas 78712, USA |
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Abstract: | 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 . |
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Keywords: | |
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