STE20
Gene Ontology Biological Process
- activation of MAPKKK activity [IDA]
- bipolar cellular bud site selection [IGI, IMP]
- budding cell apical bud growth [IGI, IMP]
- cellular bud site selection [IMP]
- cellular response to heat [IMP]
- invasive growth in response to glucose limitation [IMP]
- negative regulation of gene expression [IGI, IMP]
- osmosensory signaling pathway via Sho1 osmosensor [IGI, IMP]
- pheromone-dependent signal transduction involved in conjugation with cellular fusion [IGI, IMP]
- positive regulation of apoptotic process [IMP]
- protein phosphorylation [IDA]
- pseudohyphal growth [IMP]
- regulation of exit from mitosis [IMP]
- signal transduction involved in filamentous growth [IMP]
- sterol import [IMP]
- stress granule assembly [IGI, IMP]
- vacuole inheritance [IGI, IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
BCK1
Gene Ontology Biological Process
- endoplasmic reticulum unfolded protein response [IMP]
- establishment of cell polarity [IMP]
- intracellular signal transduction [IMP]
- peroxisome degradation [IMP]
- protein phosphorylation [IDA, TAS]
- regulation of fungal-type cell wall organization [IGI, IMP]
- response to acidic pH [IMP]
- response to nutrient [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
- -4.687187 [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 |
|---|---|---|---|---|---|---|
| BCK1 STE20 | Dosage Growth Defect Dosage Growth Defect A genetic interaction is inferred when over expression or increased dosage of one gene causes a growth defect in a strain that is mutated or deleted for another gene. | High | -0.233 | BioGRID | 908640 |
Curated By
- BioGRID