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
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
Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map.
Defining the functional relationships between proteins is critical for understanding virtually all aspects of cell biology. Large-scale identification of protein complexes has provided one important step towards this goal; however, even knowledge of the stoichiometry, affinity and lifetime of every protein-protein interaction would not reveal the functional relationships between and within such complexes. Genetic interactions can provide functional information that ... [more]
Quantitative Score
- -4.077188 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- An Epistatic MiniArray Profile (E-MAP) analysis 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 (suppression) and S score < -2.5 for negative interactions (synthetic sick/lethality).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| 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 | |
| RAD52 PPH3 | Positive Genetic 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. | High | 2.6034 | BioGRID | 542440 | |
| 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