SMC6
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
NSE4
Gene Ontology Biological Process
- DNA repair [IMP, IPI]
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
- -0.6144 [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: smc6-9 - nse4-5001 [SGA score = -0.6144, P-value = 2.629E-95]
- alleles: smc6-9 - nse4-ts1 [SGA score = -0.5820, P-value = 0]
- alleles: smc6-9 - nse4-ts2 [SGA score = -0.5562, P-value = 7.262E-35]
- alleles: smc6-9 - nse4-ts3 [SGA score = -0.6105, P-value = 6.355E-117]
- alleles: smc6-9 - nse4-ts4 [SGA score = -0.4623, P-value = 4.566E-23]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| SMC6 NSE4 | 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 | - | |
| SMC6 NSE4 | 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. | Low | - | BioGRID | - | |
| NSE4 SMC6 | 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 | 5 | BioGRID | 3612506 | |
| SMC6 NSE4 | Affinity Capture-Western Affinity Capture-Western 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 identified by Western blot with a specific polyclonal antibody or second epitope tag. This category is also used if an interacting protein is visualized directly by dye stain or radioactivity. Note that this differs from any co-purification experiment involving affinity capture in that the co-purification experiment involves at least one extra purification step to get rid of potential contaminating proteins. | Low | - | BioGRID | 1033672 | |
| SMC6 NSE4 | Co-purification Co-purification An interaction is inferred from the identification of two or more protein subunits in a purified protein complex, as obtained by classical biochemical fractionation or affinity purification and one or more additional fractionation steps. | Low | - | BioGRID | - | |
| SMC6 NSE4 | Co-purification Co-purification An interaction is inferred from the identification of two or more protein subunits in a purified protein complex, as obtained by classical biochemical fractionation or affinity purification and one or more additional fractionation steps. | Low | - | BioGRID | - | |
| NSE4 SMC6 | 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 | -0.4898 | BioGRID | 1923599 | |
| SMC6 NSE4 | 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 | -0.5528 | BioGRID | 2439534 | |
| SMC6 NSE4 | 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 | 1519276 |
Curated By
- BioGRID