BAIT
ADR1
DNA-binding transcription factor ADR1, L000000050, YDR216W
Carbon source-responsive zinc-finger transcription factor; required for transcription of the glucose-repressed gene ADH2, of peroxisomal protein genes, and of genes required for ethanol, glycerol, and fatty acid utilization
GO Process (10)
GO Function (7)
GO Component (2)
Gene Ontology Biological Process
- cellular response to oleic acid [IPI]
- chromatin organization [IDA]
- chromatin organization involved in regulation of transcription [IGI, IMP, IPI]
- negative regulation of chromatin silencing [IDA]
- peroxisome organization [IMP]
- positive regulation of ethanol catabolic process by positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of fatty acid beta-oxidation by positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of peroxisome organization by positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription from RNA polymerase II promoter by oleic acid [IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to ethanol [IMP]
Gene Ontology Molecular Function- RNA polymerase II activating transcription factor binding [IPI]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity [IDA]
- RNA polymerase II transcription factor binding transcription factor activity involved in positive regulation of transcription [IPI]
- TFIIB-class transcription factor binding [IDA]
- TFIID-class transcription factor binding [IDA]
- sequence-specific DNA binding [IDA]
- RNA polymerase II activating transcription factor binding [IPI]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity [IDA]
- RNA polymerase II transcription factor binding transcription factor activity involved in positive regulation of transcription [IPI]
- TFIIB-class transcription factor binding [IDA]
- TFIID-class transcription factor binding [IDA]
- sequence-specific DNA binding [IDA]
Saccharomyces cerevisiae (S288c)
PREY
VMS1
YDR049W
Component of a Cdc48p-complex involved in protein quality control; exhibits cytosolic and ER-membrane localization, with Cdc48p, during normal growth, and contributes to ER-associated degradation (ERAD) of specific substrates at a step after their ubiquitination; forms a mitochondrially-associated complex with Cdc48p and Npl4p under oxidative stress that is required for ubiquitin-mediated mitochondria-associated protein degradation (MAD); conserved in C. elegans and humans
GO Process (3)
GO Function (1)
GO Component (5)
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
Epistatic relationships reveal the functional organization of yeast transcription factors.
The regulation of gene expression is, in large part, mediated by interplay between the general transcription factors (GTFs) that function to bring about the expression of many genes and site-specific DNA-binding transcription factors (STFs). Here, quantitative genetic profiling using the epistatic miniarray profile (E-MAP) approach allowed us to measure 48 391 pairwise genetic interactions, both negative (aggravating) and positive (alleviating), ... [more]
Mol. Syst. Biol. Oct. 05, 2010; 6(0);420 [Pubmed: 20959818]
Quantitative Score
- -3.929680722 [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 > 2.5 for positive interactions (epistatic or suppressor interactions) and S score < -2.5 for negative interactions (synthetic sick/lethal interactions).
Curated By
- BioGRID