GIN4
Gene Ontology Biological Process
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
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
- -0.2593 [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: gin4 - ptc1 [SGA score = -0.2593, P-value = 2.652E-7]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| GIN4 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 | -0.2726 | BioGRID | 371432 | |
| PTC1 GIN4 | 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 | -4.951 | BioGRID | 322978 | |
| GIN4 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 | -0.273 | BioGRID | 910155 | |
| GIN4 PTC1 | 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 | 485942 | |
| PTC1 GIN4 | 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 | 486018 |
Curated By
- BioGRID