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
THR1
homoserine kinase, L000002298, YHR025W
Homoserine kinase; conserved protein required for threonine biosynthesis; long-lived protein that is preferentially retained in mother cells and forms cytoplasmic filaments; expression is regulated by the GCN4-mediated general amino acid control pathway
GO Process (4)
GO Function (1)
GO Component (0)
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
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
- -4.06855 [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