BAIT
RTT109
KIM2, REM50, H3 histone acetyltransferase RTT109, KAT11, L000003932, YLL002W
Histone acetyltransferase; critical for cell survival in the presence of DNA damage during S phase; prevents hyper-amplification of rDNA; acetylates H3-K56 and H3-K9; involved in non-homologous end joining and in regulation of Ty1 transposition; interacts physically with Vps75p
GO Process (6)
GO Function (1)
GO Component (1)
Gene Ontology Biological Process
- cellular response to DNA damage stimulus [IMP]
- double-strand break repair via nonhomologous end joining [IMP]
- histone acetylation [IDA, IGI, IMP]
- maintenance of rDNA [IGI]
- negative regulation of transposition, RNA-mediated [IMP]
- regulation of transcription from RNA polymerase II promoter in response to stress [IMP]
Gene Ontology Molecular Function
Saccharomyces cerevisiae (S288c)
PREY
RTG3
L000003152, YBL103C
bHLH/Zip transcription factor for retrograde (RTG) and TOR pathways; forms a complex with another bHLH/Zip protein, Rtg1p, to activate the pathways; target of Hog1p
GO Process (5)
GO Function (3)
GO Component (2)
Gene Ontology Biological Process
Gene Ontology Molecular Function
Saccharomyces cerevisiae (S288c)
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]
Science Dec. 03, 2010; 330(6009);1385-9 [Pubmed: 21127252]
Quantitative Score
- -3.075578 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
- phenotype: 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).
Curated By
- BioGRID