HOG1
Gene Ontology Biological Process
- cellular response to heat [IMP]
- cellular response to osmotic stress [IMP]
- hyperosmotic response [IMP]
- osmosensory signaling pathway [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IDA]
- positive regulation of transcription from RNA polymerase II promoter in response to osmotic stress [IMP]
- protein phosphorylation [IDA]
- regulation of nuclear cell cycle DNA replication [IDA]
- regulation of transcription from RNA polymerase II promoter in response to osmotic stress [IDA]
- response to arsenic-containing substance [IGI, IMP]
Gene Ontology Molecular Function
SCH9
Gene Ontology Biological Process
- age-dependent response to oxidative stress involved in chronological cell aging [IMP]
- positive regulation of ribosomal protein gene transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription from RNA polymerase I promoter [IGI, IMP]
- positive regulation of transcription from RNA polymerase III promoter [IGI, IMP]
- protein phosphorylation [IMP]
- regulation of cell size [IMP]
- regulation of protein localization [IMP]
- regulation of response to osmotic stress [IMP]
- regulation of sphingolipid biosynthetic process [IMP]
- regulation of transcription from RNA polymerase II promoter in response to oxidative stress [IMP]
- replicative cell aging [IMP]
Gene Ontology Molecular Function
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]
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).
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
SCH9 HOG1 | Affinity Capture-Western Affinity Capture-Western An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner identified by Western blot with a specific polyclonal antibody or second epitope tag. This category is also used if an interacting protein is visualized directly by dye stain or radioactivity. Note that this differs from any co-purification experiment involving affinity capture in that the co-purification experiment involves at least one extra purification step to get rid of potential contaminating proteins. | Low | - | BioGRID | - |
Curated By
- BioGRID