ASE1
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
CLP1
Gene Ontology Biological Process
- cellular response to DNA damage stimulus [IMP]
- chromosome passenger complex localization to spindle midzone [IMP]
- cytokinesis after mitosis checkpoint [IMP]
- cytokinesis checkpoint [IGI]
- mitotic actomyosin contractile ring maintenance [IGI, IMP]
- negative regulation of G2/M transition of mitotic cell cycle [IMP]
- negative regulation of cyclin-dependent protein serine/threonine kinase activity [IGI]
- negative regulation of protein kinase activity [IMP]
- positive regulation of attachment of spindle microtubules to kinetochore involved in mitotic sister chromatid segregation [IMP]
- positive regulation of septation initiation signaling [IGI]
- regulation of exit from mitosis [IMP]
- regulation of mitotic sister chromatid segregation [IMP]
- response to mitotic cell cycle spindle assembly checkpoint signaling [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
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]
Quantitative Score
- -8.117066465 [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).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| CLP1 ASE1 | Biochemical Activity Biochemical Activity An interaction is inferred from the biochemical effect of one protein upon another, for example, GTP-GDP exchange activity or phosphorylation of a substrate by a kinase. The bait protein executes the activity on the substrate hit protein. A Modification value is recorded for interactions of this type with the possible values Phosphorylation, Ubiquitination, Sumoylation, Dephosphorylation, Methylation, Prenylation, Acetylation, Deubiquitination, Proteolytic Processing, Glucosylation, Nedd(Rub1)ylation, Deacetylation, No Modification, Demethylation. | Low | - | BioGRID | 2468749 | |
| CLP1 ASE1 | Negative Genetic 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. | High | -8.1171 | BioGRID | 789626 | |
| ASE1 CLP1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | High | -272 | BioGRID | 299612 |
Curated By
- BioGRID