RPA14
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
RRP4
Gene Ontology Biological Process
- U4 snRNA 3'-end processing [IMP]
- exonucleolytic trimming to generate mature 3'-end of 5.8S rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA) [IMP]
- nonfunctional rRNA decay [IC]
- nuclear polyadenylation-dependent mRNA catabolic process [IC]
- nuclear polyadenylation-dependent rRNA catabolic process [IMP]
- nuclear polyadenylation-dependent tRNA catabolic process [IDA]
- nuclear retention of pre-mRNA with aberrant 3'-ends at the site of transcription [IGI]
- nuclear-transcribed mRNA catabolic process, 3'-5' exonucleolytic nonsense-mediated decay [IC]
- nuclear-transcribed mRNA catabolic process, exonucleolytic, 3'-5' [IMP]
- nuclear-transcribed mRNA catabolic process, non-stop decay [IC]
- polyadenylation-dependent snoRNA 3'-end processing [IMP]
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
- -5.25679 [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 |
|---|---|---|---|---|---|---|
| RPA14 RRP4 | 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 | -0.1398 | BioGRID | 2034717 | |
| RRP4 RPA14 | 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 | -0.2175 | BioGRID | 1987831 |
Curated By
- BioGRID