BRE1
Gene Ontology Biological Process
- chromatin silencing at telomere [IMP]
- double-strand break repair via homologous recombination [IGI]
- histone monoubiquitination [IMP]
- histone ubiquitination [IMP]
- intra-S DNA damage checkpoint [IMP]
- meiotic DNA double-strand break formation [IMP]
- mitotic G1 DNA damage checkpoint [IMP]
- regulation of DNA-dependent DNA replication initiation [IMP]
- telomere maintenance via recombination [IGI]
- transcription from RNA polymerase II promoter [IGI, IPI]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
SAC3
Gene Ontology Biological Process
- actin filament-based process [IGI]
- mRNA 3'-end processing [IMP]
- mRNA export from nucleus [IGI, IMP, IPI]
- mitotic nuclear division [IMP]
- nuclear retention of pre-mRNA at the site of transcription [IMP]
- posttranscriptional tethering of RNA polymerase II gene DNA at nuclear periphery [IMP]
- protein export from nucleus [IGI, IMP]
- ribosomal small subunit biogenesis [IMP]
- transcription-coupled nucleotide-excision repair [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 genetic interaction map of RNA-processing factors reveals links between Sem1/Dss1-containing complexes and mRNA export and splicing.
We used a quantitative, high-density genetic interaction map, or E-MAP (Epistatic MiniArray Profile), to interrogate the relationships within and between RNA-processing pathways. Due to their complexity and the essential roles of many of the components, these pathways have been difficult to functionally dissect. Here, we report the results for 107,155 individual interactions involving 552 mutations, 166 of which are hypomorphic ... [more]
Quantitative Score
- -3.896941 [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 |
|---|---|---|---|---|---|---|
| SAC3 BRE1 | 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 | -2.699 | BioGRID | 223888 | |
| BRE1 SAC3 | 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 | -8.0231 | BioGRID | 508872 |
Curated By
- BioGRID