BAIT
RIM11
GSK3, MDS1, serine/threonine protein kinase RIM11, L000001056, YMR139W
Protein kinase; required for signal transduction during entry into meiosis; promotes the formation of the Ime1p-Ume6p complex by phosphorylating Ime1p and Ume6p; shares similarity with mammalian glycogen synthase kinase 3-beta; protein abundance increases in response to DNA replication stress; RIM11 has a paralog, MRK1, that arose from the whole genome duplication
GO Process (5)
GO Function (2)
GO Component (1)
Gene Ontology Biological Process
Gene Ontology Molecular Function
Saccharomyces cerevisiae (S288c)
PREY
SSN3
CDK8, GIG2, NUT7, RYE5, SRB10, SSX7, UME5, URR1, cyclin-dependent serine/threonine protein kinase SSN3, L000002795, S000029631, L000002443, S000029520, L000002103, YPL042C
Cyclin-dependent protein kinase; component of RNA polymerase II holoenzyme; involved in phosphorylation of the RNA polymerase II C-terminal domain; involved in glucose repression
GO Process (7)
GO Function (3)
GO Component (1)
Gene Ontology Biological Process
- negative regulation of filamentous growth [IGI, IMP]
- negative regulation of transcription from RNA polymerase II promoter [IMP, IPI]
- nuclear-transcribed mRNA catabolic process, non-stop decay [IMP]
- phosphorylation of RNA polymerase II C-terminal domain [IDA, IMP]
- positive regulation of transcription from RNA polymerase II promoter by galactose [IMP]
- protein destabilization [IMP]
- protein phosphorylation [IDA, 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
- -2.62 [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