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
TPM1
Gene Ontology Biological Process
- actin filament bundle assembly [IGI]
- actin filament organization [TAS]
- actin filament reorganization [IMP]
- actin polymerization or depolymerization [TAS]
- budding cell apical bud growth [TAS]
- budding cell isotropic bud growth [TAS]
- establishment of cell polarity [TAS]
- exocytosis [TAS]
- filamentous growth [IMP]
- intracellular mRNA localization [TAS]
- mitochondrion inheritance [TAS]
- pseudohyphal growth [IMP]
- vacuole inheritance [TAS]
- vesicle-mediated transport [TAS]
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
The genetic landscape of a cell.
A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles for approximately 75% of all genes in the budding yeast, Saccharomyces cerevisiae. A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, ... [more]
Quantitative Score
- -0.2856 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- A Synthetic Genetic Array (SGA) analysis was carried out to quantitatively score genetic interactions based on fitness defects that were estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an SGA score of epsilon > 0.08 for positive interactions and epsilon < -0.08 for negative interactions, and a p-value < 0.05.
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| SWE1 TPM1 | 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 | -0.2374 | BioGRID | 2137868 | |
| SWE1 TPM1 | 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 | -0.286 | BioGRID | 910106 | |
| TPM1 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 | -25.74 | BioGRID | 2358236 | |
| SWE1 TPM1 | 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 | 163711 |
Curated By
- BioGRID