BAS1
Gene Ontology Biological Process
Gene Ontology Molecular Function
FUS3
Gene Ontology Biological Process
- cell cycle arrest [IMP]
- invasive growth in response to glucose limitation [IMP]
- negative regulation of MAPK cascade [IPI]
- negative regulation of transposition, RNA-mediated [IMP]
- pheromone-dependent signal transduction involved in conjugation with cellular fusion [IDA]
- positive regulation of protein export from nucleus [IMP]
- protein autophosphorylation [IDA]
- protein phosphorylation [IDA]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
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.
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
- 4.326027 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- colony size (APO:0000063)
- resistance to chemicals (APO:0000087)
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 in MMS-treated conditions. 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).
- 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 |
|---|---|---|---|---|---|---|
| FUS3 BAS1 | 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 | 6.78 | BioGRID | 2354941 |
Curated By
- BioGRID