NUP133
Gene Ontology Biological Process
- chromatin silencing at silent mating-type cassette [IDA]
- double-strand break repair [IGI, 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]
- poly(A)+ mRNA export from nucleus [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 import into nucleus [IMP]
- tRNA export from nucleus [IMP]
- telomere tethering at nuclear periphery [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
RAD27
Gene Ontology Biological Process
- DNA replication, removal of RNA primer [IDA]
- base-excision repair, base-free sugar-phosphate removal [IGI, IMP]
- double-strand break repair via nonhomologous end joining [IDA]
- gene conversion at mating-type locus, DNA repair synthesis [IMP]
- maintenance of DNA trinucleotide repeats [IGI, IMP]
- replicative cell aging [IMP]
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
Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map.
Defining the functional relationships between proteins is critical for understanding virtually all aspects of cell biology. Large-scale identification of protein complexes has provided one important step towards this goal; however, even knowledge of the stoichiometry, affinity and lifetime of every protein-protein interaction would not reveal the functional relationships between and within such complexes. Genetic interactions can provide functional information that ... [more]
Quantitative Score
- -10.515251 [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 |
|---|---|---|---|---|---|---|
| RAD27 NUP133 | 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 | -0.3706 | BioGRID | 394111 | |
| NUP133 RAD27 | 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 | -0.3706 | BioGRID | 395738 | |
| RAD27 NUP133 | 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 | -0.2493 | BioGRID | 2143637 | |
| RAD27 NUP133 | 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. | Low | - | BioGRID | 239803 | |
| RAD27 NUP133 | 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. | Low | - | BioGRID | 166782 | |
| NUP133 RAD27 | 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. | Low | - | BioGRID | 166783 | |
| NUP133 RAD27 | 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 | 258025 | |
| RAD27 NUP133 | 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 | 456661 |
Curated By
- BioGRID