CTK1
Gene Ontology Biological Process
- mRNA 3'-end processing [IGI, IMP]
- peptidyl-serine phosphorylation [IDA]
- phosphorylation of RNA polymerase II C-terminal domain [IMP]
- positive regulation of DNA-templated transcription, elongation [IDA]
- positive regulation of transcription from RNA polymerase I promoter [IMP]
- positive regulation of translational fidelity [IMP]
- protein phosphorylation [IDA, IMP, ISS]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
RXT2
Gene Ontology Biological Process
- conjugation with cellular fusion [IMP]
- invasive growth in response to glucose limitation [IMP]
- negative regulation of chromatin silencing at rDNA [IMP]
- negative regulation of chromatin silencing at silent mating-type cassette [IMP]
- negative regulation of chromatin silencing at telomere [IMP]
- negative regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of invasive growth in response to glucose limitation [IMP]
- transfer RNA gene-mediated silencing [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
Rewiring of genetic networks in response to DNA damage.
Although cellular behaviors are dynamic, the networks that govern these behaviors have been mapped primarily as static snapshots. Using an approach called differential epistasis mapping, we have discovered widespread changes in genetic interaction among yeast kinases, phosphatases, and transcription factors as the cell responds to DNA damage. Differential interactions uncover many gene functions that go undetected in static conditions. They ... [more]
Quantitative Score
- -2.967701 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- An Epistatic MiniArray Profile (E-MAP) approach 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 (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 |
|---|---|---|---|---|---|---|
| CTK1 RXT2 | 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 | -0.3081 | BioGRID | 2143943 | |
| CTK1 RXT2 | 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 | -10.7747 | BioGRID | 322086 | |
| CTK1 RXT2 | 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 | -13.7724 | BioGRID | 308938 | |
| RXT2 CTK1 | 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 | -10.1317 | BioGRID | 509579 | |
| CTK1 RXT2 | 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 | 3.1635 | BioGRID | 542421 |
Curated By
- BioGRID