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
PHO80
Gene Ontology Biological Process
- cellular metal ion homeostasis [IMP]
- negative regulation of calcium-mediated signaling [IGI]
- negative regulation of macroautophagy [IMP]
- negative regulation of phosphate metabolic process [IGI]
- negative regulation of transcription from RNA polymerase II promoter [IGI]
- regulation of cyclin-dependent protein serine/threonine kinase activity [IDA]
- regulation of protein localization [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 global genetic interaction network maps a wiring diagram of cellular function.
We generated a global genetic interaction network for Saccharomyces cerevisiae, constructing more than 23 million double mutants, identifying about 550,000 negative and about 350,000 positive genetic interactions. This comprehensive network maps genetic interactions for essential gene pairs, highlighting essential genes as densely connected hubs. Genetic interaction profiles enabled assembly of a hierarchical model of cell function, including modules corresponding to ... [more]
Quantitative Score
- -0.2259 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Genetic interactions were considered significant if they had a p-value < 0.05 and an SGA score > 0.16 for positive interactions and SGA score < -0.12 for negative interactions.
- alleles: rpn4 - pho80 [SGA score = -0.2259, P-value = 2.486E-6]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| PHO80 RPN4 | 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 | -4.704 | BioGRID | 541763 | |
| PHO80 RPN4 | 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 | -4.0025 | BioGRID | 219512 | |
| RPN4 PHO80 | 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 | -0.2624 | BioGRID | 364800 | |
| PHO80 RPN4 | 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 | -0.2624 | BioGRID | 413909 | |
| RPN4 PHO80 | 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 | 454552 |
Curated By
- BioGRID