SEC61
Gene Ontology Biological Process
- ER-associated ubiquitin-dependent protein catabolic process [IMP, IPI]
- SRP-dependent cotranslational protein targeting to membrane, translocation [IDA]
- intracellular protein transmembrane import [IMP]
- misfolded protein transport [IMP]
- posttranslational protein targeting to membrane, translocation [IDA, IMP]
- retrograde protein transport, ER to cytosol [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
SSH1
Gene Ontology Biological Process
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
- -0.2304 [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.
- YLR378C is an essential gene and therefore the temperature sensitive allele YLR378C_tsq213 was used in the experiment
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| SEC61 SSH1 | Co-localization Co-localization Interaction inferred from two proteins that co-localize in the cell by indirect immunofluorescence only when in addition, if one gene is deleted, the other protein becomes mis-localized. Also includes co-dependent association of proteins with promoter DNA in chromatin immunoprecipitation experiments. | High | - | BioGRID | 3553756 | |
| SEC61 SSH1 | 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 | -0.2067 | BioGRID | 2003264 | |
| SEC61 SSH1 | Phenotypic Enhancement Phenotypic Enhancement A genetic interaction is inferred when mutation or overexpression of one gene results in enhancement of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene. | Low | - | BioGRID | 255983 | |
| SEC61 SSH1 | Phenotypic Suppression Phenotypic Suppression A genetic interaction is inferred when mutation or over expression of one gene results in suppression of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene. | Low | - | BioGRID | 615146 | |
| SEC61 SSH1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | Low | - | BioGRID | 255981 | |
| SEC61 SSH1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | Low | - | BioGRID | 2461748 | |
| SEC61 SSH1 | 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 | 255982 |
Curated By
- BioGRID