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
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.
Publication
Overactivation of the protein kinase C-signaling pathway suppresses the defects of cells lacking the Rho3/Rho4-GAP Rgd1p in Saccharomyces cerevisiae.
The nonessential RGD1 gene encodes a Rho-GTPase activating protein for the Rho3 and Rho4 proteins in Saccharomyces cerevisiae. Previous studies have revealed genetic interactions between RGD1 and the SLG1 and MID2 genes, encoding two putative sensors for cell integrity signaling, and VRP1 encoding an actin and myosin interacting protein involved in polarized growth. To better understand the role of Rgd1p, ... [more]
Throughput
- Low Throughput
Ontology Terms
- phenotype: viability (APO:0000111)
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 | 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 | |
| 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 | 429586 |
Curated By
- BioGRID