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
VAC17
Gene Ontology Biological Process
- vacuole inheritance [IEP, IGI, IMP, IPI]
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
The genetic landscape of a cell.
A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles for approximately 75% of all genes in the budding yeast, Saccharomyces cerevisiae. A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, ... [more]
Quantitative Score
- -0.2431 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- A Synthetic Genetic Array (SGA) analysis was carried out to quantitatively score genetic interactions based on fitness defects that were estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an SGA score of epsilon > 0.08 for positive interactions and epsilon < -0.08 for negative interactions, and a p-value < 0.05.
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| TOR1 VAC17 | 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 | -0.2716 | BioGRID | 2139236 | |
| VAC17 TOR1 | 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 | -0.3509 | BioGRID | 2086395 | |
| TOR1 VAC17 | 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 | -0.243 | BioGRID | 910318 | |
| VAC17 TOR1 | Phenotypic Enhancement Phenotypic Enhancement A genetic interaction is inferred when mutation or overexpression of one gene results in enhancement of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene. | Low | - | BioGRID | 1277738 | |
| TOR1 VAC17 | 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 | 239367 |
Curated By
- BioGRID