SWE1
Gene Ontology Biological Process
- G2 cell size control checkpoint [IEP, IMP]
- G2/M transition of mitotic cell cycle [IDA, IMP, ISS]
- cytokinesis after mitosis checkpoint [IDA, IEP, IMP]
- negative regulation of spindle pole body separation [IGI, IMP]
- protein phosphorylation [IDA]
- re-entry into mitotic cell cycle [IGI]
- regulation of cell size [IMP]
- regulation of cyclin-dependent protein serine/threonine kinase activity [IDA]
- regulation of meiosis [IEP, IGI, IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
MNN10
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Positive Genetic
Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected 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
- 2.318062 [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 |
|---|---|---|---|---|---|---|
| SWE1 MNN10 | Negative Genetic 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. | High | -0.2954 | BioGRID | 389399 | |
| SWE1 MNN10 | Negative Genetic 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. | High | -0.2924 | BioGRID | 2137863 | |
| MNN10 SWE1 | Negative Genetic 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. | High | -0.1615 | BioGRID | 2098085 | |
| SWE1 MNN10 | Negative Genetic 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. | High | -0.295 | BioGRID | 910063 |
Curated By
- BioGRID