RAS2
Gene Ontology Biological Process
- activation of adenylate cyclase activity [IDA]
- ascospore formation [IMP]
- positive regulation of adenylate cyclase activity [IGI]
- positive regulation of pseudohyphal growth [IMP]
- positive regulation of transcription by galactose [IMP]
- protein localization to bud neck [IGI]
- regulation of protein localization [IMP]
- replicative cell aging [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
SCH9
Gene Ontology Biological Process
- age-dependent response to oxidative stress involved in chronological cell aging [IMP]
- positive regulation of ribosomal protein gene transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription from RNA polymerase I promoter [IGI, IMP]
- positive regulation of transcription from RNA polymerase III promoter [IGI, IMP]
- protein phosphorylation [IMP]
- regulation of cell size [IMP]
- regulation of protein localization [IMP]
- regulation of response to osmotic stress [IMP]
- regulation of sphingolipid biosynthetic process [IMP]
- regulation of transcription from RNA polymerase II promoter in response to oxidative stress [IMP]
- replicative cell aging [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 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
- -3.788207 [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 |
|---|---|---|---|---|---|---|
| SCH9 RAS2 | 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 | -3.8889 | BioGRID | 325174 | |
| RAS2 SCH9 | 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 | 670703 | |
| RAS2 SCH9 | 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 | 268399 | |
| RAS2 SCH9 | 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 | 348597 | |
| RAS2 SCH9 | 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 | 531048 | |
| SCH9 RAS2 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | Low | - | BioGRID | 259033 | |
| SCH9 RAS2 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | Low | - | BioGRID | 2466930 | |
| RAS2 SCH9 | 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 | - | BioGRID | 1521946 | |
| SCH9 RAS2 | 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 | - | BioGRID | 857921 |
Curated By
- BioGRID