BUB3
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
RTF1
Gene Ontology Biological Process
- DNA-templated transcription, termination [IMP]
- global genome nucleotide-excision repair [IMP]
- mRNA 3'-end processing [IMP]
- negative regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of phosphorylation of RNA polymerase II C-terminal domain serine 2 residues [IMP]
- positive regulation of transcription elongation from RNA polymerase I promoter [IDA]
- positive regulation of transcription elongation from RNA polymerase II promoter [IMP]
- recruitment of 3'-end processing factors to RNA polymerase II holoenzyme complex [IMP]
- regulation of chromatin silencing at telomere [IMP]
- regulation of histone H2B conserved C-terminal lysine ubiquitination [IDA, IMP]
- regulation of histone H2B ubiquitination [IMP]
- regulation of histone H3-K4 methylation [IMP]
- regulation of histone H3-K79 methylation [IMP]
- regulation of phosphorylation of RNA polymerase II C-terminal domain serine 2 residues [IMP]
- regulation of transcription from RNA polymerase II promoter [IGI]
- regulation of transcription-coupled nucleotide-excision repair [IGI]
- snoRNA 3'-end processing [IMP]
- snoRNA transcription from an RNA polymerase II promoter [IMP]
- transcription elongation from RNA polymerase II promoter [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
Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map.
Defining the functional relationships between proteins is critical for understanding virtually all aspects of cell biology. Large-scale identification of protein complexes has provided one important step towards this goal; however, even knowledge of the stoichiometry, affinity and lifetime of every protein-protein interaction would not reveal the functional relationships between and within such complexes. Genetic interactions can provide functional information that ... [more]
Quantitative Score
- -3.17015 [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 |
|---|---|---|---|---|---|---|
| RTF1 BUB3 | Positive Genetic Positive Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected under a given condition. This term is reserved for high or low throughput studies with scores. | High | 0.1822 | BioGRID | 378607 | |
| BUB3 RTF1 | Positive Genetic Positive Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected under a given condition. This term is reserved for high or low throughput studies with scores. | High | 0.1822 | BioGRID | 414199 | |
| BUB3 RTF1 | 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 | 167584 |
Curated By
- BioGRID