PAP2
Gene Ontology Biological Process
- U4 snRNA 3'-end processing [IGI, IMP]
- base-excision repair [IGI, IMP]
- histone mRNA catabolic process [IGI]
- meiotic DNA double-strand break formation [IMP]
- ncRNA polyadenylation [IDA, IGI, IMP]
- negative regulation of DNA recombination [IMP]
- nuclear mRNA surveillance of mRNA 3'-end processing [IGI]
- nuclear polyadenylation-dependent CUT catabolic process [IGI, IMP]
- nuclear polyadenylation-dependent antisense transcript catabolic process [IMP]
- nuclear polyadenylation-dependent mRNA catabolic process [IGI]
- nuclear polyadenylation-dependent rRNA catabolic process [IGI, IMP]
- nuclear polyadenylation-dependent snRNA catabolic process [IMP]
- nuclear polyadenylation-dependent snoRNA catabolic process [IGI, IMP]
- nuclear polyadenylation-dependent tRNA catabolic process [IDA, IGI, IMP]
- polyadenylation-dependent mRNA catabolic process [IMP]
- polyadenylation-dependent snoRNA 3'-end processing [IGI]
- snoRNA polyadenylation [IGI]
- tRNA modification [IMP]
Gene Ontology Molecular Function
YPT6
Gene Ontology Biological Process
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
- -6.679764 [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 |
---|---|---|---|---|---|---|
PAP2 YPT6 | 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 | 454716 |
Curated By
- BioGRID