BAIT
FMP52
YER004W
Protein of unknown function; localized to the mitochondrial outer membrane; induced by treatment with 8-methoxypsoralen and UVA irradiation
GO Process (0)
GO Function (0)
GO Component (3)
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
PREY
PHO85
LDB15, cyclin-dependent serine/threonine-protein kinase PHO85, phoU, L000001431, YPL031C
Cyclin-dependent kinase; has ten cyclin partners; involved in regulating the cellular response to nutrient levels and environmental conditions and progression through the cell cycle
GO Process (14)
GO Function (2)
GO Component (2)
Gene Ontology Biological Process
- cellular response to DNA damage stimulus [IGI, IMP]
- fungal-type cell wall organization [IGI]
- negative regulation of calcium-mediated signaling [IGI]
- negative regulation of glycogen biosynthetic process [IMP]
- negative regulation of macroautophagy [IMP]
- negative regulation of phosphate metabolic process [IGI]
- negative regulation of sequence-specific DNA binding transcription factor activity [IGI, IMP]
- negative regulation of transcription from RNA polymerase II promoter [IGI]
- positive regulation of macroautophagy [IMP]
- protein phosphorylation [IDA]
- regulation of establishment or maintenance of cell polarity [IGI]
- regulation of protein localization [IDA]
- regulation of protein stability [IGI, IMP]
- regulation of transcription involved in G1/S transition of mitotic cell cycle [IGI, 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
- -2.86 [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