BAIT
RPS10B
ribosomal 40S subunit protein S10B, S10e, S10B, L000004476, YMR230W
Protein component of the small (40S) ribosomal subunit; homologous to mammalian ribosomal protein S10, no bacterial homolog; RPS10B has a paralog, RPS10A, that arose from the whole genome duplication
GO Process (2)
GO Function (1)
GO Component (1)
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
PREY
CDC42
Rho family GTPase CDC42, L000000276, YLR229C
Small rho-like GTPase; essential for establishment and maintenance of cell polarity; plays a role late in cell fusion via activation of key cell fusion regulator Fus2p; mutants have defects in the organization of actin and septins
GO Process (13)
GO Function (1)
GO Component (8)
Gene Ontology Biological Process
- budding cell apical bud growth [IMP]
- budding cell isotropic bud growth [IMP]
- conjugation with cellular fusion [IMP]
- establishment of cell polarity [IMP]
- invasive growth in response to glucose limitation [IMP]
- pheromone-dependent signal transduction involved in conjugation with cellular fusion [IGI, IMP]
- positive regulation of exocytosis [IGI, IMP, IPI]
- positive regulation of pseudohyphal growth [IMP]
- regulation of exit from mitosis [IMP]
- regulation of exocyst localization [IMP]
- regulation of initiation of mating projection growth [IMP]
- regulation of vacuole fusion, non-autophagic [IMP]
- septin ring organization [IMP]
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
A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.
An emerging therapeutic strategy for cancer is to induce selective lethality in a tumor by exploiting interactions between its driving mutations and specific drug targets. Here we use a multi-species approach to develop a resource of synthetic lethal interactions relevant to cancer therapy. First, we screen in yeast ∼169,000 potential interactions among orthologs of human tumor suppressor genes (TSG) and ... [more]
Mol. Cell Aug. 04, 2016; 63(3);514-25 [Pubmed: 27453043]
Quantitative Score
- -7.25 [Confidence Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Untreated conditions. SGA was used to score genetic interactions based on the colony size of double versus single mutants. Genetic interactions were considered significant if they had an S score >= 2.0 for positive interactions (epistatic or suppressor interactions) and S score <= -2.5 for negative interactions (synthetic sick/lethal interactions).
Curated By
- BioGRID