PKC1
Gene Ontology Biological Process
- actin filament organization [IGI]
- cytoplasmic mRNA processing body assembly [IMP]
- intracellular signal transduction [IMP]
- peroxisome degradation [IMP]
- protein phosphorylation [IDA]
- regulation of fungal-type cell wall organization [IMP]
- regulation of nuclear-transcribed mRNA poly(A) tail shortening [IMP]
- signal transduction [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
OST3
Gene Ontology Biological Process
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
- -0.4281 [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: pkc1-2 - ost3 [SGA score = -0.3295, P-value = 2.965E-17]
- alleles: pkc1-3 - ost3 [SGA score = -0.2978, P-value = 1.317E-8]
- alleles: pkc1-4 - ost3 [SGA score = -0.4281, P-value = 1.139E-42]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| PKC1 OST3 | 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 | -0.3961 | BioGRID | 355691 | |
| OST3 PKC1 | 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 | -0.497 | BioGRID | 2069993 | |
| OST3 PKC1 | 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 | -0.3389 | BioGRID | 2433743 | |
| PKC1 OST3 | 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 | -11.5 | BioGRID | 2357406 | |
| PKC1 OST3 | 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 | 327813 |
Curated By
- BioGRID