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
Functional wiring of the yeast kinome revealed by global analysis of genetic network motifs.
A combinatorial genetic perturbation strategy was applied to interrogate the yeast kinome on a genome-wide scale. We assessed the global effects of gene overexpression or gene deletion to map an integrated genetic interaction network of synthetic dosage lethal (SDL) and loss-of-function genetic interactions (GIs) for 92 kinases, producing a meta-network of 8700 GIs enriched for pathways known to be regulated ... [more]
Quantitative Score
- -0.21 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: vegetative growth (APO:0000106)
- phenotype: colony size (APO:0000063)
Additional Notes
- score threshold <= -0.12, interaction detected by Synthetic Genetic Array (SGA)
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 | -7.0743 | BioGRID | 540912 | |
| 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 | 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