RPN4
Gene Ontology Biological Process
- negative regulation of transcription from RNA polymerase II promoter [IMP]
- negative regulation of transcription from RNA polymerase II promoter in response to stress [IMP]
- positive regulation of proteasomal ubiquitin-dependent protein catabolic process [IGI, IMP]
- positive regulation of transcription from RNA polymerase II promoter [IDA, IGI, IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to arsenic-containing substance [IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to stress [IEP, IMP]
- regulation of DNA repair [IMP]
Gene Ontology Molecular Function
SOD1
Gene Ontology Biological Process
- age-dependent response to reactive oxygen species involved in chronological cell aging [IMP]
- cellular copper ion homeostasis [IMP]
- cellular zinc ion homeostasis [IMP]
- fungal-type cell wall organization [IMP]
- negative regulation of cellular respiration [IMP]
- positive regulation of sequence-specific DNA binding transcription factor activity [IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to oxidative stress [IMP]
- protein stabilization [IMP, IPI]
- removal of superoxide radicals [IBA]
- superoxide metabolic process [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
Epistatic relationships reveal the functional organization of yeast transcription factors.
The regulation of gene expression is, in large part, mediated by interplay between the general transcription factors (GTFs) that function to bring about the expression of many genes and site-specific DNA-binding transcription factors (STFs). Here, quantitative genetic profiling using the epistatic miniarray profile (E-MAP) approach allowed us to measure 48 391 pairwise genetic interactions, both negative (aggravating) and positive (alleviating), ... [more]
Quantitative Score
- -3.060945577 [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 |
|---|---|---|---|---|---|---|
| RPN4 SOD1 | 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. | High | - | BioGRID | 455921 |
Curated By
- BioGRID