BAIT
WHI3
mRNA-binding protein WHI3, L000002486, YNL197C
RNA binding protein that sequesters CLN3 mRNA in cytoplasmic foci; regulates genes involved in the cell cycle, sister chromatid cohesion, and stress response; acts as a cytoplasmic retention factor for Cdc28p and associated cyclins; regulates cell fate and dose-dependently regulates the critical cell size required for passage through Start; Tpk1p (PKA) mediated phosphorylation (S568) inhibits Whi3p function, decreasing its interaction with CLN3 mRNA; regulates ploidy
GO Process (6)
GO Function (1)
GO Component (3)
Gene Ontology Biological Process
Gene Ontology Molecular Function- mRNA binding [IDA, IMP]
- mRNA binding [IDA, IMP]
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
PREY
TMA23
YMR268W-A, YMR269W
Nucleolar protein implicated in ribosome biogenesis; deletion extends chronological lifespan
GO Process (1)
GO Function (0)
GO Component (2)
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
A genetic interaction map of RNA-processing factors reveals links between Sem1/Dss1-containing complexes and mRNA export and splicing.
We used a quantitative, high-density genetic interaction map, or E-MAP (Epistatic MiniArray Profile), to interrogate the relationships within and between RNA-processing pathways. Due to their complexity and the essential roles of many of the components, these pathways have been difficult to functionally dissect. Here, we report the results for 107,155 individual interactions involving 552 mutations, 166 of which are hypomorphic ... [more]
Mol. Cell Dec. 05, 2008; 32(5);735-46 [Pubmed: 19061648]
Quantitative Score
- -3.757467 [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 > 2.5 for positive interactions (suppression) and S score < -2.5 for negative interactions (synthetic sick/lethality).
Curated By
- BioGRID