MSH2
Gene Ontology Biological Process
- DNA recombination [IMP]
- chromatin silencing at silent mating-type cassette [IGI]
- interstrand cross-link repair [IGI]
- maintenance of DNA repeat elements [IBA]
- meiotic gene conversion [IMP]
- meiotic mismatch repair [IMP]
- mismatch repair [IMP]
- mitotic recombination [IMP]
- negative regulation of reciprocal meiotic recombination [IBA]
- postreplication repair [IBA]
- removal of nonhomologous ends [IGI, IMP]
Gene Ontology Molecular Function- ATP binding [IDA]
- ATPase activity [IDA]
- DNA insertion or deletion binding [IDA]
- DNA-dependent ATPase activity [IBA]
- Y-form DNA binding [IDA]
- damaged DNA binding [IBA]
- double-strand/single-strand DNA junction binding [IDA]
- four-way junction DNA binding [IDA]
- guanine/thymine mispair binding [IDA]
- heteroduplex DNA loop binding [IDA]
- single base insertion or deletion binding [IDA, IMP]
- ATP binding [IDA]
- ATPase activity [IDA]
- DNA insertion or deletion binding [IDA]
- DNA-dependent ATPase activity [IBA]
- Y-form DNA binding [IDA]
- damaged DNA binding [IBA]
- double-strand/single-strand DNA junction binding [IDA]
- four-way junction DNA binding [IDA]
- guanine/thymine mispair binding [IDA]
- heteroduplex DNA loop binding [IDA]
- single base insertion or deletion binding [IDA, IMP]
Gene Ontology Cellular Component
HSC82
Gene Ontology Biological Process
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
- -2.77 [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 |
---|---|---|---|---|---|---|
MSH2 HSC82 | Affinity Capture-MS Affinity Capture-MS An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner is identified by mass spectrometric methods. | High | - | BioGRID | - | |
HSC82 MSH2 | 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 | 307523 |
Curated By
- BioGRID