Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.
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.
Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, 2500 Speedway, Austin, Texas 78712, USA. kris.mcgary@mail.utexas.edu
Kriston L
KL
McGary
Insuk
I
Lee
Edward M
EM
Marcotte
D015966:Gene Expression Regulation, Fungal; D053263:Gene Regulatory Networks; D023281:Genomics; D006801:Humans; D010641:Phenotype; D012441:Saccharomyces cerevisiae / Q000235:genetics* / Q000378:metabolism; D029701:Saccharomyces cerevisiae Proteins / Q000235:genetics* / Q000378:metabolism
D029701:Saccharomyces cerevisiae Proteins