SNF1
Gene Ontology Biological Process
- cell adhesion [IMP]
- cellular response to nitrogen starvation [IDA]
- fungal-type cell wall assembly [IMP]
- invasive growth in response to glucose limitation [IMP]
- negative regulation of translation [IGI, IMP]
- positive regulation of filamentous growth of a population of unicellular organisms in response to starvation [IMP]
- positive regulation of gluconeogenesis [IMP]
- protein phosphorylation [IDA]
- pseudohyphal growth [IMP]
- regulation of carbohydrate metabolic process [IGI, IPI]
- replicative cell aging [IGI, IMP]
- single-species surface biofilm formation [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
PTC1
Gene Ontology Biological Process
- inactivation of MAPK activity involved in osmosensory signaling pathway [IDA, IGI, IMP]
- mitochondrion inheritance [IMP]
- pheromone-dependent signal transduction involved in conjugation with cellular fusion [IMP]
- protein dephosphorylation [IDA]
- tRNA splicing, via endonucleolytic cleavage and ligation [IMP]
Gene Ontology Molecular Function
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
Rewiring of genetic networks in response to DNA damage.
Although cellular behaviors are dynamic, the networks that govern these behaviors have been mapped primarily as static snapshots. Using an approach called differential epistasis mapping, we have discovered widespread changes in genetic interaction among yeast kinases, phosphatases, and transcription factors as the cell responds to DNA damage. Differential interactions uncover many gene functions that go undetected in static conditions. They ... [more]
Quantitative Score
- -7.074347 [SGA 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 >= 2.0 for positive interactions (epistatic or suppressor interactions) and S score <= -2.5 for negative interactions (synthetic sick/lethal interactions).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| SNF1 PTC1 | 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 | -0.2102 | BioGRID | 371086 | |
| SNF1 PTC1 | 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 | -0.279 | BioGRID | 2102602 | |
| PTC1 SNF1 | 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 | -0.2579 | BioGRID | 2088569 | |
| SNF1 PTC1 | 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 | -0.21 | BioGRID | 910583 | |
| SNF1 PTC1 | 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 | 2.3023 | BioGRID | 322376 |
Curated By
- BioGRID