期刊
NATURE METHODS
卷 7, 期 12, 页码 1017-U110出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1534
关键词
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资金
- Genome Canada through the Ontario Genomics Institute [2004-OGI-3-01]
- Canadian Institutes of Health Research [GSP-415-67, MOP-79368]
- US National Institutes of Health [1R01HG005084-01A1]
- National Science Foundation [DBI 0953881, MCB 0918908]
- Minnesota Supercomputing Institute
Global quantitative analysis of genetic interactions is a powerful approach for deciphering the roles of genes and mapping functional relationships among pathways. Using colony size as a proxy for fitness, we developed a method for measuring fitness-based genetic interactions from high-density arrays of yeast double mutants generated by synthetic genetic array (SGA) analysis. We identified several experimental sources of systematic variation and developed normalization strategies to obtain accurate single-and double-mutant fitness measurements, which rival the accuracy of other high-resolution studies. We applied the SGA score to examine the relationship between physical and genetic interaction networks, and we found that positive genetic interactions connect across functionally distinct protein complexes revealing a network of genetic suppression among loss-of-function alleles.
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