RGD1
Gene Ontology Biological Process
Gene Ontology Molecular Function- Rho GTPase activator activity [IDA, IGI]
- phosphatidylinositol-3,5-bisphosphate binding [IDA, IMP]
- phosphatidylinositol-3-phosphate binding [IDA, IMP]
- phosphatidylinositol-4,5-bisphosphate binding [IDA]
- phosphatidylinositol-4-phosphate binding [IDA, IMP]
- phosphatidylinositol-5-phosphate binding [IDA, IMP]
- Rho GTPase activator activity [IDA, IGI]
- phosphatidylinositol-3,5-bisphosphate binding [IDA, IMP]
- phosphatidylinositol-3-phosphate binding [IDA, IMP]
- phosphatidylinositol-4,5-bisphosphate binding [IDA]
- phosphatidylinositol-4-phosphate binding [IDA, IMP]
- phosphatidylinositol-5-phosphate binding [IDA, IMP]
Gene Ontology Cellular Component
SLG1
Gene Ontology Biological Process
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
- -10.773005 [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 |
|---|---|---|---|---|---|---|
| RGD1 SLG1 | 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 | 164292 | |
| SLG1 RGD1 | 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 | -0.1684 | BioGRID | 2181379 | |
| RGD1 SLG1 | 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 | 158657 | |
| RGD1 SLG1 | 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 | 205082 |
Curated By
- BioGRID