SEM1
Gene Ontology Biological Process
- SAGA complex localization to transcription regulatory region [IMP]
- exocytosis [IGI, IPI]
- filamentous growth [IMP]
- histone deubiquitination [IMP]
- mRNA export from nucleus [IGI, IMP, IPI]
- maintenance of DNA trinucleotide repeats [IMP]
- proteasome assembly [IMP]
- proteasome-mediated ubiquitin-dependent protein catabolic process [IDA, IMP]
- regulation of cell cycle [IMP]
- ubiquitin-dependent protein catabolic process [IMP]
Gene Ontology Cellular Component
TOR1
Gene Ontology Biological Process
- TOR signaling [IC, IMP]
- cellular response to DNA damage stimulus [IMP]
- fungal-type cell wall organization [IMP]
- meiotic nuclear division [IMP]
- mitochondria-nucleus signaling pathway [IMP]
- negative regulation of autophagy [IGI]
- regulation of cell cycle [IMP]
- regulation of cell growth [IMP]
- regulation of sphingolipid biosynthetic process [IMP]
- ribosome biogenesis [IMP]
- transcription of nuclear large rRNA transcript from RNA polymerase I promoter [IMP]
- translational initiation [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
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
- -7.41598 [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 |
|---|---|---|---|---|---|---|
| SEM1 TOR1 | 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 | -0.3561 | BioGRID | 370021 | |
| TOR1 SEM1 | 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 | -0.3561 | BioGRID | 392136 | |
| TOR1 SEM1 | 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 | -0.1315 | BioGRID | 2139240 | |
| SEM1 TOR1 | 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 | -0.3455 | BioGRID | 2100389 | |
| TOR1 SEM1 | 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 | -7.416 | BioGRID | 322837 | |
| SEM1 TOR1 | 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 | -0.356 | BioGRID | 909911 | |
| TOR1 SEM1 | 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 | -8.4179 | BioGRID | 308713 |
Curated By
- BioGRID