BAIT
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)
PREY
NPY1
NAD(+) diphosphatase, S000007505, YGL067W
NADH diphosphatase (pyrophosphatase); hydrolyzes the pyrophosphate linkage in NADH and related nucleotides; localizes to peroxisomes; nudix hydrolase family member
GO Process (1)
GO Function (1)
GO Component (2)
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
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
Functional organization of the S. cerevisiae phosphorylation network.
Reversible protein phosphorylation is a signaling mechanism involved in all cellular processes. To create a systems view of the signaling apparatus in budding yeast, we generated an epistatic miniarray profile (E-MAP) comprised of 100,000 pairwise, quantitative genetic interactions, including virtually all protein and small-molecule kinases and phosphatases as well as key cellular regulators. Quantitative genetic interaction mapping reveals factors working ... [more]
Cell Mar. 06, 2009; 136(5);952-63 [Pubmed: 19269370]
Quantitative Score
- -2.635741 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- An Epistatic MiniArray Profile (E-MAP) analysis 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 (suppression) and S score < -2.5 for negative interactions (synthetic sick/lethality).
Curated By
- BioGRID