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
SWR1
Gene Ontology Biological Process
Gene Ontology Molecular Function
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
- -2.609106049 [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 |
|---|---|---|---|---|---|---|
| RTF1 SWR1 | 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 | -5.0095 | BioGRID | 217570 | |
| SWR1 RTF1 | 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 | -0.2085 | BioGRID | 369823 | |
| RTF1 SWR1 | 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 | -0.2085 | BioGRID | 378529 | |
| RTF1 SWR1 | 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 | -0.2531 | BioGRID | 2119191 | |
| SWR1 RTF1 | 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 | 517124 | |
| RTF1 SWR1 | 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 | 165355 | |
| SWR1 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 | 165356 |
Curated By
- BioGRID