SSH1
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
GET2
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
Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile.
We present a strategy for generating and analyzing comprehensive genetic-interaction maps, termed E-MAPs (epistatic miniarray profiles), comprising quantitative measures of aggravating or alleviating interactions between gene pairs. Crucial to the interpretation of E-MAPs is their high-density nature made possible by focusing on logically connected gene subsets and including essential genes. Described here is the analysis of an E-MAP of genes ... [more]
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 > 2.5 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 |
|---|---|---|---|---|---|---|
| SSH1 GET2 | 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 | 3553381 | |
| GET2 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 | -0.468 | BioGRID | 375253 | |
| GET2 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 | -0.5918 | BioGRID | 2108535 | |
| SSH1 GET2 | 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 | -0.2839 | BioGRID | 2084728 | |
| GET2 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 | -11.656 | BioGRID | 210747 | |
| SSH1 GET2 | 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. | High | - | BioGRID | 459667 | |
| GET2 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. | High | - | BioGRID | 463045 | |
| GET2 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. | High | - | BioGRID | 456027 |
Curated By
- BioGRID