MDM38
Gene Ontology Biological Process
- cellular potassium ion homeostasis [IMP]
- mitochondrial respiratory chain complex III biogenesis [IGI, IMP]
- mitochondrial respiratory chain complex IV biogenesis [IGI, IMP]
- positive regulation of mitochondrial translation [IGI]
- potassium ion transport [IGI, IMP]
- protein insertion into mitochondrial membrane [IMP]
- proton transport [IGI]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
SNF1
Gene Ontology Biological Process
- cell adhesion [IMP]
- cellular response to nitrogen starvation [IDA]
- fungal-type cell wall assembly [IMP]
- invasive growth in response to glucose limitation [IMP]
- negative regulation of translation [IGI, IMP]
- positive regulation of filamentous growth of a population of unicellular organisms in response to starvation [IMP]
- positive regulation of gluconeogenesis [IMP]
- protein phosphorylation [IDA]
- pseudohyphal growth [IMP]
- regulation of carbohydrate metabolic process [IGI, IPI]
- replicative cell aging [IGI, IMP]
- single-species surface biofilm formation [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 mitochondrial-focused genetic interaction map reveals a scaffold-like complex required for inner membrane organization in mitochondria.
To broadly explore mitochondrial structure and function as well as the communication of mitochondria with other cellular pathways, we constructed a quantitative, high-density genetic interaction map (the MITO-MAP) in Saccharomyces cerevisiae. The MITO-MAP provides a comprehensive view of mitochondrial function including insights into the activity of uncharacterized mitochondrial proteins and the functional connection between mitochondria and the ER. The MITO-MAP ... [more]
Quantitative Score
- -5.02974115 [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 >= 2.0 for positive interactions (epistatic or suppressor interactions) and S score <= -2.5 for negative interactions (synthetic sick/lethal interactions). The authors constructed a mitochondrial-focused genetic interaction map (the MITO-MAP).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| MDM38 SNF1 | 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 | -0.1413 | BioGRID | 2178785 |
Curated By
- BioGRID