BAIT
SSN3
CDK8, GIG2, NUT7, RYE5, SRB10, SSX7, UME5, URR1, cyclin-dependent serine/threonine protein kinase SSN3, L000002795, S000029631, L000002443, S000029520, L000002103, YPL042C
Cyclin-dependent protein kinase; component of RNA polymerase II holoenzyme; involved in phosphorylation of the RNA polymerase II C-terminal domain; involved in glucose repression
GO Process (7)
GO Function (3)
GO Component (1)
Gene Ontology Biological Process
- negative regulation of filamentous growth [IGI, IMP]
- negative regulation of transcription from RNA polymerase II promoter [IMP, IPI]
- nuclear-transcribed mRNA catabolic process, non-stop decay [IMP]
- phosphorylation of RNA polymerase II C-terminal domain [IDA, IMP]
- positive regulation of transcription from RNA polymerase II promoter by galactose [IMP]
- protein destabilization [IMP]
- protein phosphorylation [IDA, IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
PREY
SKO1
ACR1, L000001909, YNL167C
Basic leucine zipper transcription factor of the ATF/CREB family; forms a complex with Tup1p and Cyc8p to both activate and repress transcription; cytosolic and nuclear protein involved in osmotic and oxidative stress responses
GO Process (2)
GO Function (7)
GO Component (2)
Gene Ontology Biological Process
Gene Ontology Molecular Function- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA, IMP]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in negative regulation of transcription [IDA, IMP]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in positive regulation of transcription [IDA, IMP]
- RNA polymerase II repressing transcription factor binding [IDA]
- RNA polymerase II transcription factor binding transcription factor activity involved in negative regulation of transcription [IGI, IMP]
- mitogen-activated protein kinase binding [IDA, IMP]
- sequence-specific transcription regulatory region DNA binding RNA polymerase II transcription factor recruiting transcription factor activity [IMP]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA, IMP]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in negative regulation of transcription [IDA, IMP]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in positive regulation of transcription [IDA, IMP]
- RNA polymerase II repressing transcription factor binding [IDA]
- RNA polymerase II transcription factor binding transcription factor activity involved in negative regulation of transcription [IGI, IMP]
- mitogen-activated protein kinase binding [IDA, IMP]
- sequence-specific transcription regulatory region DNA binding RNA polymerase II transcription factor recruiting transcription factor activity [IMP]
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
- -4.817762189 [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