GTR2
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
TOR1
Gene Ontology Biological Process
- TOR signaling [IC, IMP]
- cellular response to DNA damage stimulus [IMP]
- fungal-type cell wall organization [IMP]
- meiotic nuclear division [IMP]
- mitochondria-nucleus signaling pathway [IMP]
- negative regulation of autophagy [IGI]
- regulation of cell cycle [IMP]
- regulation of cell growth [IMP]
- regulation of sphingolipid biosynthetic process [IMP]
- ribosome biogenesis [IMP]
- transcription of nuclear large rRNA transcript from RNA polymerase I promoter [IMP]
- translational initiation [IMP]
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
- -0.627 [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: gtr2 - tor1 [SGA score = -0.6270, P-value = 0]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| TOR1 GTR2 | 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 | 3460500 | |
| GTR2 TOR1 | 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. | Low | - | BioGRID | 354181 | |
| TOR1 GTR2 | 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. | Low | - | BioGRID | 203713 | |
| TOR1 GTR2 | 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. | Low | - | BioGRID | 239375 | |
| GTR2 TOR1 | Synthetic Rescue Synthetic Rescue A genetic interaction is inferred when mutations or deletions of one gene rescues the lethality or growth defect of a strain mutated or deleted for another gene. | Low/High | - | BioGRID | 2198627 |
Curated By
- BioGRID