CDC20
Gene Ontology Biological Process
- activation of anaphase-promoting complex activity involved in meiotic cell cycle [IMP]
- activation of mitotic anaphase-promoting complex activity [IMP]
- mitotic spindle assembly checkpoint [IPI]
- negative regulation of cyclin-dependent protein serine/threonine kinase by cyclin degradation [IMP]
- positive regulation of mitotic metaphase/anaphase transition [IMP]
- positive regulation of protein catabolic process [IMP]
- regulation of meiosis [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
SWM1
Gene Ontology Biological Process
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
A global genetic interaction network maps a wiring diagram of cellular function.
We generated a global genetic interaction network for Saccharomyces cerevisiae, constructing more than 23 million double mutants, identifying about 550,000 negative and about 350,000 positive genetic interactions. This comprehensive network maps genetic interactions for essential gene pairs, highlighting essential genes as densely connected hubs. Genetic interaction profiles enabled assembly of a hierarchical model of cell function, including modules corresponding to ... [more]
Quantitative Score
- -0.7031 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Genetic interactions were considered significant if they had a p-value < 0.05 and an SGA score > 0.16 for positive interactions and SGA score < -0.12 for negative interactions.
- alleles: cdc20-1 - swm1 [SGA score = -0.7031, P-value = 3.119E-36]
- alleles: cdc20-2 - swm1 [SGA score = -0.5288, P-value = 3.542E-25]
- alleles: cdc20-3 - swm1 [SGA score = -0.5279, P-value = 2.984E-40]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| CDC20 SWM1 | 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 | -0.7248 | BioGRID | 380071 | |
| SWM1 CDC20 | 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 | -0.7415 | BioGRID | 2035369 | |
| SWM1 CDC20 | 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. | Low | - | BioGRID | 735157 | |
| CDC20 SWM1 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | Low/High | - | BioGRID | 284175 | |
| SWM1 CDC20 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | Low | - | BioGRID | 196556 |
Curated By
- BioGRID