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
CDC28
Gene Ontology Biological Process
- 7-methylguanosine mRNA capping [IMP]
- chromatin remodeling [IMP]
- meiotic DNA double-strand break processing [IGI]
- negative regulation of double-strand break repair via nonhomologous end joining [IMP]
- negative regulation of meiotic cell cycle [IMP]
- negative regulation of mitotic cell cycle [IDA]
- negative regulation of sister chromatid cohesion [IMP]
- negative regulation of transcription, DNA-templated [IDA, IMP]
- peptidyl-serine phosphorylation [IDA]
- phosphorylation of RNA polymerase II C-terminal domain [IDA]
- positive regulation of meiotic cell cycle [IDA, IMP]
- positive regulation of mitotic cell cycle [IMP]
- positive regulation of nuclear cell cycle DNA replication [IDA, IMP]
- positive regulation of spindle pole body separation [IGI, IMP]
- positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription, DNA-templated [IDA, IGI]
- positive regulation of triglyceride catabolic process [IGI, IMP]
- protein phosphorylation [IDA]
- regulation of budding cell apical bud growth [IGI, IMP]
- regulation of double-strand break repair via homologous recombination [IMP]
- regulation of filamentous growth [IMP]
- regulation of protein localization [IMP]
- synaptonemal complex assembly [IMP]
- vesicle-mediated transport [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
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
- -0.4845 [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 - cdc28-1 [SGA score = -0.2098, P-value = 0.0005942]
- alleles: cdc20-1 - cdc28-13 [SGA score = -0.1404, P-value = 0.004186]
- alleles: cdc20-1 - cdc28-td [SGA score = -0.4845, P-value = 8.469E-9]
- alleles: cdc20-2 - cdc28-1 [SGA score = -0.2444, P-value = 6.024E-5]
- alleles: cdc20-2 - cdc28-4 [SGA score = -0.1389, P-value = 0.000925]
- alleles: cdc20-2 - cdc28-td [SGA score = -0.2687, P-value = 0.002122]
- alleles: cdc20-3 - cdc28-1 [SGA score = -0.2605, P-value = 1.043E-5]
- alleles: cdc20-3 - cdc28-td [SGA score = -0.4129, P-value = 1.897E-10]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| CDC28 CDC20 | 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. | High | - | BioGRID | 152015 | |
| CDC28 CDC20 | Dosage Lethality Dosage Lethality A genetic interaction is inferred when over expression or increased dosage of one gene causes lethality in a strain that is mutated or deleted for another gene. | Low | - | BioGRID | 2452120 | |
| CDC28 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 | -0.3812 | BioGRID | 1921355 | |
| CDC28 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 | 157781 | |
| CDC28 CDC20 | Synthetic Rescue Synthetic Rescue A genetic interaction is inferred when mutations or deletions of one gene rescues the lethality or growth defect of a strain mutated or deleted for another gene. | Low | - | BioGRID | 657826 |
Curated By
- BioGRID