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
POL2
Gene Ontology Biological Process
- DNA replication proofreading [IMP]
- DNA-dependent DNA replication [IDA]
- base-excision repair [IMP]
- double-strand break repair [IMP]
- double-strand break repair via nonhomologous end joining [IGI, IMP]
- error-prone translesion synthesis [IDA]
- gene conversion [IMP]
- heterochromatin organization involved in chromatin silencing [IGI, IMP]
- intra-S DNA damage checkpoint [IGI, IMP, IPI]
- leading strand elongation [IMP]
- mitotic DNA replication checkpoint [IMP]
- mitotic sister chromatid cohesion [IMP]
- nucleotide-excision repair, DNA gap filling [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
A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.
An emerging therapeutic strategy for cancer is to induce selective lethality in a tumor by exploiting interactions between its driving mutations and specific drug targets. Here we use a multi-species approach to develop a resource of synthetic lethal interactions relevant to cancer therapy. First, we screen in yeast ∼169,000 potential interactions among orthologs of human tumor suppressor genes (TSG) and ... [more]
Quantitative Score
- -2.8 [Confidence Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Untreated conditions. SGA was used to score genetic interactions based on the colony size of double versus single mutants. 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 |
|---|---|---|---|---|---|---|
| POL2 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 | -0.207 | BioGRID | 2012259 | |
| POL2 RAD52 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | High | - | BioGRID | 1518684 | |
| RAD52 POL2 | 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 | 2346331 | |
| RAD52 POL2 | 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 | 3577842 |
Curated By
- BioGRID