SLT2
Gene Ontology Biological Process
- UFP-specific transcription factor mRNA processing involved in endoplasmic reticulum unfolded protein response [IMP]
- barrier septum assembly [IGI]
- endoplasmic reticulum unfolded protein response [IDA, IMP]
- fungal-type cell wall biogenesis [IGI]
- peroxisome degradation [IMP]
- protein phosphorylation [IDA, IMP]
- regulation of cell size [IMP]
- regulation of fungal-type cell wall organization [IGI, IMP]
- regulation of transcription factor import into nucleus [IMP]
- response to acidic pH [IMP]
- signal transduction [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
A plasma-membrane E-MAP reveals links of the eisosome with sphingolipid metabolism and endosomal trafficking.
The plasma membrane delimits the cell and controls material and information exchange between itself and the environment. How different plasma-membrane processes are coordinated and how the relative abundance of plasma-membrane lipids and proteins is homeostatically maintained are not yet understood. Here, we used a quantitative genetic interaction map, or E-MAP, to functionally interrogate a set of approximately 400 genes involved ... [more]
Quantitative Score
- -10.640109 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- An Epistatic MiniArray Profile (E-MAP) approach 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 > 2.5 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 |
|---|---|---|---|---|---|---|
| SLT2 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 | -0.3241 | BioGRID | 385240 | |
| TPM1 SLT2 | 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 | -0.4971 | BioGRID | 2168410 | |
| SLT2 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 | -0.4839 | BioGRID | 2125936 | |
| SLT2 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 | -0.324 | BioGRID | 909977 | |
| SLT2 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 | -15.32 | BioGRID | 2355133 | |
| SLT2 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. | High | - | BioGRID | 109441 | |
| TPM1 SLT2 | 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 | 159040 |
Curated By
- BioGRID