BAIT

MRE11

NGS1, RAD58, XRS4, MRX complex nuclease subunit, L000004732, L000001149, L000004275, YMR224C
Nuclease subunit of the MRX complex with Rad50p and Xrs2p; complex functions in repair of DNA double-strand breaks and in telomere stability; Mre11p associates with Ser/Thr-rich ORFs in premeiotic phase; nuclease activity required for MRX function; widely conserved; forms nuclear foci upon DNA replication stress
Saccharomyces cerevisiae (S288c)
PREY

SPC42

L000004148, YKL042W
Central plaque component of spindle pole body (SPB); involved in SPB duplication, may facilitate attachment of the SPB to the nuclear membrane
GO Process (2)
GO Function (1)
GO Component (2)
Saccharomyces cerevisiae (S288c)

Synthetic Lethality

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

Publication

Saccharomyces cerevisiae Genetics Predicts Candidate Therapeutic Genetic Interactions at the Mammalian Replication Fork.

van Pel DM, Stirling PC, Minaker SW, Sipahimalani P, Hieter P

The concept of synthetic lethality has gained popularity as a rational guide for predicting chemotherapeutic targets based on negative genetic interactions between tumor-specific somatic mutations and a second-site target gene. One hallmark of most cancers that can be exploited by chemotherapies is chromosome instability (CIN). Because chromosome replication, maintenance, and segregation represent conserved and cell-essential processes, they can be modeled ... [more]

G3 (Bethesda) Feb. 01, 2013; 3(2);273-82 [Pubmed: 23390603]

Quantitative Score

  • 0.010165534 [SGA Score]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: inviable (APO:0000112)

Additional Notes

  • SGA analysis for synthetic lethal interactions between mutations whose human orthologs are found to be mutated in cancers, and the deletion mutant collection, where the interaction probability P < 0.05

Curated By

  • BioGRID