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
PHO80
Gene Ontology Biological Process
- cellular metal ion homeostasis [IMP]
- negative regulation of calcium-mediated signaling [IGI]
- negative regulation of macroautophagy [IMP]
- negative regulation of phosphate metabolic process [IGI]
- negative regulation of transcription from RNA polymerase II promoter [IGI]
- regulation of cyclin-dependent protein serine/threonine kinase activity [IDA]
- regulation of protein localization [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
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
Functional organization of the S. cerevisiae phosphorylation network.
Reversible protein phosphorylation is a signaling mechanism involved in all cellular processes. To create a systems view of the signaling apparatus in budding yeast, we generated an epistatic miniarray profile (E-MAP) comprised of 100,000 pairwise, quantitative genetic interactions, including virtually all protein and small-molecule kinases and phosphatases as well as key cellular regulators. Quantitative genetic interaction mapping reveals factors working ... [more]
Quantitative Score
- -9.329139 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- An Epistatic MiniArray Profile (E-MAP) analysis was used to quantitatively score genetic interactions based on fitness defects estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an S score > 2.0 for positive interactions (suppression) and S score < -2.5 for negative interactions (synthetic sick/lethality).
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
SCH9 PHO80 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | Low | - | BioGRID | 3650791 |
Curated By
- BioGRID