BAIT

GAL10

bifunctional UDP-glucose 4-epimerase/aldose 1-epimerase, L000000663, YBR019C
UDP-glucose-4-epimerase; catalyzes the interconversion of UDP-galactose and UDP-D-glucose in galactose metabolism; also catalyzes the conversion of alpha-D-glucose or alpha-D-galactose to their beta-anomers
GO Process (1)
GO Function (2)
GO Component (1)

Gene Ontology Biological Process

Gene Ontology Molecular Function

Gene Ontology Cellular Component

Saccharomyces cerevisiae (S288c)
PREY

GAL2

galactose permease GAL2, L000000659, YLR081W
Galactose permease; required for utilization of galactose; also able to transport glucose
GO Process (2)
GO Function (2)
GO Component (2)

Gene Ontology Biological Process

Gene Ontology Molecular Function

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

Quantitative epistasis analysis and pathway inference from genetic interaction data.

Phenix H, Morin K, Batenchuk C, Parker J, Abedi V, Yang L, Tepliakova L, Perkins TJ, Kaern M

Inferring regulatory and metabolic network models from quantitative genetic interaction data remains a major challenge in systems biology. Here, we present a novel quantitative model for interpreting epistasis within pathways responding to an external signal. The model provides the basis of an experimental method to determine the architecture of such pathways, and establishes a new set of rules to infer ... [more]

PLoS Comput. Biol. May. 01, 2011; 7(5);e1002048 [Pubmed: 21589890]

Quantitative Score

  • -2.96 [SGA Score]

Throughput

  • Low Throughput

Ontology Terms

  • phenotype: vegetative growth (APO:0000106)

Additional Notes

  • An epistasis analysis was carried out to quantitatively score galactose-dependent genetic interactions based on fitness defects estimated from the growth rate of double versus single mutants. Significant genetic interactions were identified using a p-value threshold of 0.05.

Related interactions

InteractionExperimental Evidence CodeDatasetThroughputScoreCurated ByNotes
GAL2 GAL10
Synthetic Growth Defect
Synthetic Growth Defect

A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell.

Low-BioGRID
298270

Curated By

  • BioGRID