SLX9
Gene Ontology Biological Process
Gene Ontology Cellular Component
NUP2
Gene Ontology Biological Process
- NLS-bearing protein import into nucleus [IGI, IMP]
- chromatin silencing at silent mating-type cassette [IMP]
- mRNA export from nucleus in response to heat stress [IMP]
- maintenance of chromatin silencing at telomere [IMP]
- poly(A)+ mRNA export from nucleus [IMP]
- posttranscriptional tethering of RNA polymerase II gene DNA at nuclear periphery [IMP]
- protein export from nucleus [IGI, IMP, IPI]
- protein import into nucleus, substrate release [IDA]
- protein targeting to nuclear inner membrane [IMP]
- transcription-dependent tethering of RNA polymerase II gene DNA at nuclear periphery [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 global genetic interaction network maps a wiring diagram of cellular function.
We generated a global genetic interaction network for Saccharomyces cerevisiae, constructing more than 23 million double mutants, identifying about 550,000 negative and about 350,000 positive genetic interactions. This comprehensive network maps genetic interactions for essential gene pairs, highlighting essential genes as densely connected hubs. Genetic interaction profiles enabled assembly of a hierarchical model of cell function, including modules corresponding to ... [more]
Quantitative Score
- -0.1927 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Genetic interactions were considered significant if they had a p-value < 0.05 and an SGA score > 0.16 for positive interactions and SGA score < -0.12 for negative interactions.
- alleles: slx9 - nup2 [SGA score = -0.1927, P-value = 5.498E-29]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| SLX9 NUP2 | 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 | -0.195 | BioGRID | 382282 | |
| NUP2 SLX9 | 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 | -0.195 | BioGRID | 400620 | |
| NUP2 SLX9 | 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 | -0.1889 | BioGRID | 2154391 | |
| SLX9 NUP2 | 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 | -4.8963 | BioGRID | 308201 | |
| NUP2 SLX9 | Phenotypic Enhancement Phenotypic Enhancement A genetic interaction is inferred when mutation or overexpression of one gene results in enhancement of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene. | High | - | BioGRID | 339274 |
Curated By
- BioGRID