BAIT

CLA4

ERC10, serine/threonine protein kinase CLA4, L000000564, L000002643, YNL298W
Cdc42p-activated signal transducing kinase; member of the PAK (p21-activated kinase) family, along with Ste20p and Skm1p; involved in septin ring assembly, vacuole inheritance, cytokinesis, sterol uptake regulation; phosphorylates Cdc3p and Cdc10p; CLA4 has a paralog, SKM1, that arose from the whole genome duplication
Saccharomyces cerevisiae (S288c)
PREY

SHU1

YHL006C
Component of Shu complex (aka PCSS complex); Shu complex also includes Psy3, Csm2, Shu2, and promotes error-free DNA repair, mediates inhibition of Srs2p function; essential for promoting the establishment of homolog bias during meiotic homologous recombination; promotes both crossover (CO) and non-crossover (NCO) pathways of meiotic recombination and formation of Rad51p filaments
GO Process (3)
GO Function (0)
GO Component (3)
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

Mapping DNA damage-dependent genetic interactions in yeast via party mating and barcode fusion genetics.

Diaz-Mejia JJ, Celaj A, Mellor JC, Cote A, Balint A, Ho B, Bansal P, Shaeri F, Gebbia M, Weile J, Verby M, Karkhanina A, Zhang Y, Wong C, Rich J, Prendergast D, Gupta G, Oeztuerk S, Durocher D, Brown GW, Roth FP

Condition-dependent genetic interactions can reveal functional relationships between genes that are not evident under standard culture conditions. State-of-the-art yeast genetic interaction mapping, which relies on robotic manipulation of arrays of double-mutant strains, does not scale readily to multi-condition studies. Here, we describe barcode fusion genetics to map genetic interactions (BFG-GI), by which double-mutant strains generated via en masse "party" mating ... [more]

Mol. Syst. Biol. Dec. 28, 2017; 14(5);e7985 [Pubmed: 29807908]

Quantitative Score

  • -0.195698139 [Confidence Score]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: vegetative growth (APO:0000106)

Additional Notes

  • Cultures grown in MMS ((CHEBI:25255))
  • Interactions determined by barcode fusion genetics to map genetic interactions (BFG-GI) using a ZGenetic Interaction Score (GIS)cutoff corresponding to FDR=0.01 and an additional effect?size cutoff (-0.075>GIS>0.075)

Related interactions

InteractionExperimental Evidence CodeDatasetThroughputScoreCurated ByNotes
SHU1 CLA4
Negative Genetic
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.

Low-0.1181BioGRID
560497

Curated By

  • BioGRID