Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores.

Publication

Hierarchical Modularity and the Evolution of Genetic Interactomes across Species.

Ryan CJ, Roguev A, Patrick K, Xu J, Jahari H, Tong Z, Beltrao P, Shales M, Qu H, Collins SR, Kliegman JI, Jiang L, Kuo D, Tosti E, Kim HS, Edelmann W, Keogh MC, Greene D, Tang C, Cunningham P, Shokat KM, Cagney G, Svensson JP, Guthrie C, Espenshade PJ, Ideker T, Krogan NJ

To date, cross-species comparisons of genetic interactomes have been restricted to small or functionally related gene sets, limiting our ability to infer evolutionary trends. To facilitate a more comprehensive analysis, we constructed a genome-scale epistasis map (E-MAP) for the fission yeast Schizosaccharomyces pombe, providing phenotypic signatures for âˆ¼60% of the nonessential genome. Using these signatures, we generated a catalog of ... [more]

Mol. Cell Jun. 08, 2012; 46(5);691-704 [Pubmed: 22681890]

Quantitative Score

-3.440360316 [S score]

Throughput

High Throughput

Ontology Terms

phenotype: colony size (APO:0000063)

Additional Notes

An Epistatic MiniArray Profile (E-MAP) approach was used to quantitatively score genetic interactions based on fitness defects estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an S score > 1.8 for positive interactions (epistatic or suppressor interactions) and S score < -2.3 for negative interactions (synthetic sick/lethal interactions).

Curated By

BioGRID

Interaction Summary

POM1

Gene Ontology Biological Process

Gene Ontology Molecular Function

protein binding [IPI]protein serine/threonine kinase activity [IDA]

Gene Ontology Cellular Component

IDP1