BAIT
UGA3
L000002423, YDL170W
Transcriptional activator for GABA-dependent induction of GABA genes; binds to DNA elements found in the promoters of target genes and increases their expression in the presence of GABA (gamma-aminobutyrate); zinc finger transcription factor of the Zn(2)-Cys(6) binuclear cluster domain type; localized to the nucleus; examples of GABA genes include UGA1, UGA2, and UGA4
GO Process (3)
GO Function (4)
GO Component (1)
Gene Ontology Biological Process
Gene Ontology Molecular Function- 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 involved in positive regulation of transcription [IDA]
- sequence-specific DNA binding [IDA]
- sequence-specific DNA binding transcription factor recruiting transcription factor activity [IDA, IGI]
- 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 involved in positive regulation of transcription [IDA]
- sequence-specific DNA binding [IDA]
- sequence-specific DNA binding transcription factor recruiting transcription factor activity [IDA, IGI]
Saccharomyces cerevisiae (S288c)
PREY
PPH21
phosphoprotein phosphatase 2A catalytic subunit PPH21, L000001472, YDL134C
Catalytic subunit of protein phosphatase 2A (PP2A); functionally redundant with Pph22p; methylated at C terminus; forms alternate complexes with several regulatory subunits; involved in signal transduction and regulation of mitosis; forms nuclear foci upon DNA replication stress; PPH21 has a paralog, PPH22, that arose from the whole genome duplication
GO Process (6)
GO Function (1)
GO Component (3)
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
- -7.424088 [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