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
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
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 organization of the S. cerevisiae phosphorylation network.
Reversible protein phosphorylation is a signaling mechanism involved in all cellular processes. To create a systems view of the signaling apparatus in budding yeast, we generated an epistatic miniarray profile (E-MAP) comprised of 100,000 pairwise, quantitative genetic interactions, including virtually all protein and small-molecule kinases and phosphatases as well as key cellular regulators. Quantitative genetic interaction mapping reveals factors working ... [more]
Quantitative Score
- -4.983814 [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 > 2.0 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 |
---|---|---|---|---|---|---|
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 | |
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