BAIT
SWI6
PSL8, SDS11, transcriptional regulator SWI6, L000002254, YLR182W
Transcription cofactor; forms complexes with Swi4p and Mbp1p to regulate transcription at the G1/S transition; involved in meiotic gene expression; also binds Stb1p to regulate transcription at START; cell wall stress induces phosphorylation by Mpk1p, which regulates Swi6p localization; required for the unfolded protein response, independently of its known transcriptional coactivators
GO Process (4)
GO Function (1)
GO Component (4)
Gene Ontology Biological Process
- positive regulation of reciprocal meiotic recombination [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IDA]
- positive regulation of transcription from RNA polymerase II promoter in response to heat stress [IMP]
- positive regulation of transcription involved in G1/S transition of mitotic cell cycle [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
PREY
MIG1
CAT4, SSN1, TDS22, transcription factor MIG1, L000001110, YGL035C
Transcription factor involved in glucose repression; sequence specific DNA binding protein containing two Cys2His2 zinc finger motifs; regulated by the SNF1 kinase and the GLC7 phosphatase; regulates filamentous growth along with Mig2p in response to glucose depletion; activated in stochastic pulses of nuclear localization, shuttling between cytosol and nucleus depending on external glucose levels and its phosphorylation state
GO Process (4)
GO Function (3)
GO Component (3)
Gene Ontology Biological Process
- negative regulation of transcription from RNA polymerase II promoter [IGI, IMP]
- negative regulation of transcription from RNA polymerase II promoter by glucose [IDA, IGI, IMP]
- positive regulation of filamentous growth of a population of unicellular organisms in response to starvation [IGI]
- positive regulation of transcription from RNA polymerase II promoter [IGI, IMP]
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
- -2.6312 [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).
Curated By
- BioGRID