MGA2
Gene Ontology Biological Process
- cellular response to cold [IMP]
- chromatin silencing at silent mating-type cassette [IGI]
- mRNA stabilization [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to cobalt ion [IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to hypoxia [IMP]
- positive regulation of unsaturated fatty acid biosynthetic process by positive regulation of transcription from RNA polymerase II promoter [IGI]
Gene Ontology Cellular Component
GET3
Gene Ontology Biological Process
- ATP-independent chaperone mediated protein folding [IDA]
- pheromone-dependent signal transduction involved in conjugation with cellular fusion [IMP]
- posttranslational protein targeting to membrane [IDA]
- protein insertion into ER membrane [IMP]
- response to heat [IMP]
- response to metal ion [IMP]
- retrograde vesicle-mediated transport, Golgi to ER [IDA, IGI, 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
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]
Quantitative Score
- -5.899 [SGA Score]
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 |
---|---|---|---|---|---|---|
GET3 MGA2 | 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 | -0.1858 | BioGRID | 364152 | |
MGA2 GET3 | 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 | -0.1484 | BioGRID | 2134293 | |
GET3 MGA2 | 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 | -0.2523 | BioGRID | 2089943 | |
GET3 MGA2 | 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 | -5.899 | BioGRID | 206819 | |
GET3 MGA2 | 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 | -3.098 | BioGRID | 900839 |
Curated By
- BioGRID