BAIT
SKP1
psh1, sph1, SPBC409.05
SCF ubiquitin ligase complex subunit Skp1
GO Process (10)
GO Function (2)
GO Component (7)
Gene Ontology Biological Process
- SCF-dependent proteasomal ubiquitin-dependent protein catabolic process [IDA, IMP]
- mitotic cytokinetic cell separation [IMP]
- negative regulation of mitotic metaphase/anaphase transition [IMP]
- nuclear envelope organization [IMP]
- protein catabolic process [IMP]
- protein ubiquitination involved in ubiquitin-dependent protein catabolic process [IMP]
- regulation of mitotic cell cycle [IGI]
- regulation of strand invasion [IDA]
- vacuolar acidification [ISO]
- vacuolar proton-transporting V-type ATPase complex assembly [TAS]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Schizosaccharomyces pombe (972h)
PREY
SPAC9G1.07
Schizosaccharomyces specific protein
GO Process (0)
GO Function (0)
GO Component (1)
Gene Ontology Cellular Component
Schizosaccharomyces pombe (972h)
Negative Genetic
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.
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 ∼60% 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
- -3.245869619 [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