BAIT

CSM2

YIL132C
Component of Shu complex (aka PCSS complex); Shu complex also includes Psy3, Shu1, Shu2, and promotes error-free DNA repair,; Shu complex mediates inhibition of Srs2p function; promotes formation of Rad51p filaments; Psy3p and Csm2p contain similar DNA-binding regions which work together to form a single DNA binding site; required for accurate chromosome segregation during meiosis
Saccharomyces cerevisiae (S288c)
PREY

RTT107

ESC4, L000004424, YHR154W
Protein implicated in Mms22-dependent DNA repair during S phase; involved in recruiting the SMC5/6 complex to double-strand breaks; DNA damage induces phosphorylation by Mec1p at one or more SQ/TQ motifs; interacts with Mms22p and Slx4p; has four BRCT domains; has a role in regulation of Ty1 transposition; relative distribution to nuclear foci increases upon DNA replication stress
GO Process (2)
GO Function (0)
GO Component (2)
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

  • -0.216001684 [Confidence Score]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: vegetative growth (APO:0000106)

Additional Notes

  • Cultures grown in MMS ((CHEBI:25255))
  • Cultures grown in doxorubicin (CHEBI:28748)
  • 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
RTT107 CSM2
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-0.1209BioGRID
560500
CSM2 RTT107
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
1513308

Curated By

  • BioGRID