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
TOR2
Gene Ontology Biological Process
- TOR signaling [IC, IMP]
- actin filament reorganization involved in cell cycle [TAS]
- cytoskeleton organization [IMP]
- establishment or maintenance of actin cytoskeleton polarity [IMP]
- negative regulation of autophagy [IGI]
- positive regulation of Rho guanyl-nucleotide exchange factor activity [IGI, IMP]
- positive regulation of Rho protein signal transduction [IGI, IMP]
- positive regulation of endocytosis [IMP]
- regulation of cell cycle [TAS]
- regulation of cell growth [TAS]
- ribosome biogenesis [IMP]
- signal transduction [TAS]
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 plasma-membrane E-MAP reveals links of the eisosome with sphingolipid metabolism and endosomal trafficking.
The plasma membrane delimits the cell and controls material and information exchange between itself and the environment. How different plasma-membrane processes are coordinated and how the relative abundance of plasma-membrane lipids and proteins is homeostatically maintained are not yet understood. Here, we used a quantitative genetic interaction map, or E-MAP, to functionally interrogate a set of approximately 400 genes involved ... [more]
Quantitative Score
- -6.207441 [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 > 2.5 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 |
|---|---|---|---|---|---|---|
| TOR2 TOR1 | Co-purification Co-purification An interaction is inferred from the identification of two or more protein subunits in a purified protein complex, as obtained by classical biochemical fractionation or affinity purification and one or more additional fractionation steps. | Low | - | BioGRID | - | |
| TOR1 TOR2 | Dosage Rescue Dosage Rescue A genetic interaction is inferred when over expression or increased dosage of one gene rescues the lethality or growth defect of a strain that is mutated or deleted for another gene. | Low | - | BioGRID | 161124 | |
| TOR2 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 | -0.6085 | BioGRID | 393447 | |
| TOR2 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 | -0.6038 | BioGRID | 1997379 | |
| TOR1 TOR2 | 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 | -0.4864 | BioGRID | 2052281 | |
| TOR2 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 | -0.609 | BioGRID | 909767 | |
| TOR1 TOR2 | 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 | 156874 | |
| TOR1 TOR2 | 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 | 1514989 | |
| TOR1 TOR2 | 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 | 2450218 | |
| TOR1 TOR2 | 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 | 1534828 | |
| TOR1 TOR2 | 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 | 3202165 | |
| TOR1 TOR2 | 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 | 2202199 | |
| TOR1 TOR2 | 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 | 1112018 | |
| TOR1 TOR2 | Phenotypic Suppression Phenotypic Suppression A genetic interaction is inferred when mutation or over expression of one gene results in suppression of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene. | Low | - | BioGRID | 2202200 | |
| TOR2 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 | 346375 | |
| TOR1 TOR2 | 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 | 927278 |
Curated By
- BioGRID