NUP120
Gene Ontology Biological Process
- double-strand break repair [IGI, IMP]
- mRNA export from nucleus [IMP]
- mRNA export from nucleus in response to heat stress [IMP]
- maintenance of chromatin silencing at telomere [IMP]
- negative regulation of transcription from RNA polymerase II promoter [IMP]
- nuclear pore distribution [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription, DNA-templated [IDA, IGI]
- posttranscriptional tethering of RNA polymerase II gene DNA at nuclear periphery [IMP]
- protein export from nucleus [IMP]
- protein import into nucleus [IMP]
- ribosomal large subunit export from nucleus [IMP]
- telomere tethering at nuclear periphery [IMP]
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
- -4.805646 [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 NUP120 | Affinity Capture-MS Affinity Capture-MS An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner is identified by mass spectrometric methods. | High | - | BioGRID | - |
Curated By
- BioGRID