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
MID2
Gene Ontology Biological Process
- UFP-specific transcription factor mRNA processing involved in endoplasmic reticulum unfolded protein response [IMP]
- cell morphogenesis involved in conjugation [IGI, IMP]
- fungal-type cell wall organization [IGI, IMP]
- peroxisome degradation [IMP]
- response to acidic pH [IMP]
- response to osmotic stress [IGI]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
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.
Publication
RGD1 genetically interacts with MID2 and SLG1, encoding two putative sensors for cell integrity signalling in Saccharomyces cerevisiae.
The RGD1 gene was identified during systematic genome sequencing of Saccharomyces cerevisiae. To further understand Rgd1p function, we set up a synthetic lethal screen for genes interacting with RGD1. Study of one lethal mutant made it possible to identify the SLG1 and MID2 genes. The gene SLG1/HCS77/WSC1 was mutated in the original synthetic lethal strain, whereas MID2/SMS1 acted as a ... [more]
Throughput
- Low Throughput
Ontology Terms
- phenotype: inviable (APO:0000112)
- phenotype: resistance to chemicals (APO:0000087)
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| RGD1 MID2 | 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 | -0.1322 | BioGRID | 360053 | |
| MID2 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 | -0.1322 | BioGRID | 400597 | |
| MID2 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 | -0.1243 | BioGRID | 2154333 | |
| RGD1 MID2 | 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 | 156713 | |
| RGD1 MID2 | 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 | 164291 |
Curated By
- BioGRID