BAIT
RTG3
L000003152, YBL103C
bHLH/Zip transcription factor for retrograde (RTG) and TOR pathways; forms a complex with another bHLH/Zip protein, Rtg1p, to activate the pathways; target of Hog1p
GO Process (5)
GO Function (3)
GO Component (2)
Gene Ontology Biological Process
Gene Ontology Molecular Function
Saccharomyces cerevisiae (S288c)
PREY
SOD1
CRS4, superoxide dismutase SOD1, L000001978, YJR104C
Cytosolic copper-zinc superoxide dismutase; detoxifies superoxide; stabilizes Yck1p and Yck2p kinases in glucose to repress respiration; phosphorylated by Dun1p and enters the nucleus under oxidative stress to promote transcription of stress response genes; human ortholog implicated in ALS; abundance increases under DNA replication stress and during exposure to boric acid; localization of a fraction to the mitochondrial intermembrane space is modulated by the MICOS complex
GO Process (10)
GO Function (3)
GO Component (4)
Gene Ontology Biological Process
- age-dependent response to reactive oxygen species involved in chronological cell aging [IMP]
- cellular copper ion homeostasis [IMP]
- cellular zinc ion homeostasis [IMP]
- fungal-type cell wall organization [IMP]
- negative regulation of cellular respiration [IMP]
- positive regulation of sequence-specific DNA binding transcription factor activity [IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to oxidative stress [IMP]
- protein stabilization [IMP, IPI]
- removal of superoxide radicals [IBA]
- superoxide metabolic process [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
- -2.95 [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