RAD52
Gene Ontology Biological Process
- DNA amplification [IMP]
- DNA recombinase assembly [IDA]
- DNA strand renaturation [IDA]
- double-strand break repair via break-induced replication [IMP]
- double-strand break repair via homologous recombination [IMP]
- double-strand break repair via single-strand annealing [IGI]
- meiotic joint molecule formation [IGI, IMP]
- postreplication repair [IMP]
- telomere maintenance via recombination [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
PPH3
Gene Ontology Biological Process
- double-strand break repair via homologous recombination [IGI]
- negative regulation of DNA damage checkpoint [IMP]
- negative regulation of glucose mediated signaling pathway [IMP]
- positive regulation of double-strand break repair via nonhomologous end joining [IMP]
- positive regulation of nitrogen compound metabolic process [IMP]
- protein dephosphorylation [IDA, IMP]
- signal transduction involved in meiotic recombination checkpoint [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Positive Genetic
Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected under a given condition. This term is reserved for high or low throughput studies with scores.
Publication
Rewiring of genetic networks in response to DNA damage.
Although cellular behaviors are dynamic, the networks that govern these behaviors have been mapped primarily as static snapshots. Using an approach called differential epistasis mapping, we have discovered widespread changes in genetic interaction among yeast kinases, phosphatases, and transcription factors as the cell responds to DNA damage. Differential interactions uncover many gene functions that go undetected in static conditions. They ... [more]
Quantitative Score
- 2.603422 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
- phenotype: resistance to chemicals (APO:0000087)
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 in MMS-treated conditions. Genetic interactions were considered significant if they had an S score >=2.0 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 |
|---|---|---|---|---|---|---|
| RAD52 PPH3 | 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 | -4.0772 | BioGRID | 219339 | |
| PPH3 RAD52 | 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 | -4.9838 | BioGRID | 324833 | |
| RAD52 PPH3 | 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 | -7.24 | BioGRID | 2358412 | |
| PPH3 RAD52 | 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 | 195200 |
Curated By
- BioGRID