BAIT
UPC2
MOX4, YDR213W
Sterol regulatory element binding protein; induces transcription of sterol biosynthetic genes and of DAN/TIR gene products; relocates from intracellular membranes to perinuclear foci on sterol depletion; UPC2 has a paralog, ECM22, that arose from the whole genome duplication
GO Process (4)
GO Function (2)
GO Component (4)
Gene Ontology Biological Process
- cellular response to hypoxia [IMP]
- positive regulation of ergosterol biosynthetic process by positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of sterol import by positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IMP]
Gene Ontology Molecular Function
Saccharomyces cerevisiae (S288c)
PREY
FYV4
YHR059W
Protein of unknown function; required for survival upon exposure to K1 killer toxin
GO Process (0)
GO Function (0)
GO Component (1)
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
The genetic landscape of a cell.
A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles for approximately 75% of all genes in the budding yeast, Saccharomyces cerevisiae. A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, ... [more]
Science Jan. 22, 2010; 327(5964);425-31 [Pubmed: 20093466]
Quantitative Score
- -0.2598 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- A Synthetic Genetic Array (SGA) analysis was carried out to quantitatively score genetic interactions based on fitness defects that were estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an SGA score of epsilon > 0.08 for positive interactions and epsilon < -0.08 for negative interactions, and a p-value < 0.05.
Curated By
- BioGRID