BAIT

AIM3

YBR108W
Protein that inhibits barbed-end actin filament elongation; interacts with Rvs167p; null mutant is viable and displays elevated frequency of mitochondrial genome loss
GO Process (2)
GO Function (0)
GO Component (2)

Gene Ontology Biological Process

Gene Ontology Cellular Component

Saccharomyces cerevisiae (S288c)
PREY

NSG1

YHR133C
Protein involved in regulation of sterol biosynthesis; specifically stabilizes Hmg2p, one of two HMG-CoA isoenzymes that catalyze the rate-limiting step in sterol biosynthesis; forms foci at the nuclear periphery upon DNA replication stress; relocalizes to the cytosol in response to hypoxia; homolog of mammalian INSIG proteins; NSG1 has a paralog, NSG2, that arose from the whole genome duplication
GO Process (1)
GO Function (1)
GO Component (5)

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

Reconstitution and protein composition analysis of endocytic actin patches.

Michelot A, Costanzo M, Sarkeshik A, Boone C, Yates JR, Drubin DG

Clathrin-actin-mediated endocytosis in yeast involves the progressive assembly of at least 60 different proteins at cortical sites. More than half of these proteins are involved in the assembly of a branched network of actin filaments to provide the forces required for plasma membrane invagination.To gain insights into the regulation of endocytic actin patch dynamics, we developed an in vitro actin ... [more]

Curr. Biol. Nov. 09, 2010; 20(21);1890-9 [Pubmed: 21035341]

Quantitative Score

  • -0.118 [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