IRA2
Gene Ontology Biological Process
- cellular response to cold [IMP]
- cellular response to hydrogen peroxide [IMP]
- cellular response to metal ion [IMP]
- cellular response to oxidative stress [IMP]
- negative regulation of Ras protein signal transduction [IMP]
- negative regulation of cAMP biosynthetic process [IMP]
- positive regulation of Ras GTPase activity [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
KIN28
Gene Ontology Biological Process
- 7-methylguanosine mRNA capping [IMP]
- phosphorylation of RNA polymerase II C-terminal domain [IDA, IMP]
- phosphorylation of RNA polymerase II C-terminal domain involved in recruitment of 3'-end processing factors to RNA polymerase II holoenzyme complex [IMP, IPI]
- phosphorylation of RNA polymerase II C-terminal domain serine 5 residues involved in recruitment of mRNA capping enzyme to RNA polymerase II holoenzyme complex [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IDA]
- protein phosphorylation [IDA]
- transcription from RNA polymerase I promoter [IMP]
- transcription from RNA polymerase II promoter [IDA, 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
- -4.01 [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 |
|---|---|---|---|---|---|---|
| KIN28 IRA2 | 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 | -0.2297 | BioGRID | 1965595 | |
| IRA2 KIN28 | 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 | -0.1859 | BioGRID | 2068608 |
Curated By
- BioGRID