BAIT
RAD61
WPL1, YDR014W
Subunit of a complex that inhibits sister chromatid cohesion; also negatively regulates chromosome condensation; inhibited by Eco1p-acetylated cohesin subunits Smc3p and Mcd1p; binds Smc3p ATPase head of cohesin; related to the human Wapl protein that controls the association of cohesin with chromatin
GO Process (3)
GO Function (0)
GO Component (1)
Gene Ontology Biological Process
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
PREY
INP2
YMR163C
Peroxisome-specific receptor important for peroxisome inheritance; co-fractionates with peroxisome membranes and co-localizes with peroxisomes in vivo; physically interacts with the myosin V motor Myo2p; INP2 is not an essential gene
GO Process (1)
GO Function (1)
GO Component (3)
Gene Ontology Biological Process
- peroxisome inheritance [IEP, IGI, IMP, IPI]
Gene Ontology Molecular Function- protein anchor [IMP, IPI]
- protein anchor [IMP, IPI]
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
- -0.1453 [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