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
SLT2
Gene Ontology Biological Process
- UFP-specific transcription factor mRNA processing involved in endoplasmic reticulum unfolded protein response [IMP]
- barrier septum assembly [IGI]
- endoplasmic reticulum unfolded protein response [IDA, IMP]
- fungal-type cell wall biogenesis [IGI]
- peroxisome degradation [IMP]
- protein phosphorylation [IDA, IMP]
- regulation of cell size [IMP]
- regulation of fungal-type cell wall organization [IGI, IMP]
- regulation of transcription factor import into nucleus [IMP]
- response to acidic pH [IMP]
- signal transduction [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Positive Genetic
Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected 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
- 0.1713 [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: cdc28-td - slt2 [SGA score = 0.1713, P-value = 0.002571]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| CDC28 SLT2 | 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 | 251912 | |
| CDC28 SLT2 | 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 | 2452145 | |
| SLT2 CDC28 | PCA PCA A Protein-Fragment Complementation Assay (PCA) is a protein-protein interaction assay in which a bait protein is expressed as fusion to one of the either N- or C- terminal peptide fragments of a reporter protein and prey protein is expressed as fusion to the complementary N- or C- terminal fragment of the same reporter protein. Interaction of bait and prey proteins bring together complementary fragments, which can then fold into an active reporter, e.g. the split-ubiquitin assay. | High | - | BioGRID | 486024 | |
| SLT2 CDC28 | Positive Genetic Positive Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected under a given condition. This term is reserved for high or low throughput studies with scores. | High | 0.2102 | BioGRID | 1896440 | |
| CDC28 SLT2 | 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 | - | BioGRID | 572878 | |
| SLT2 CDC28 | 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 | 158304 | |
| CDC28 SLT2 | 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 | 163627 |
Curated By
- BioGRID