DBF2
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
CDC14
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 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
- -0.3443 [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: dbf2 - cdc14-1 [SGA score = -0.2988, P-value = 4.286E-75]
- alleles: dbf2 - cdc14-2 [SGA score = -0.3443, P-value = 3.068E-32]
- alleles: dbf2 - cdc14-8 [SGA score = -0.3094, P-value = 3.971E-7]
- alleles: dbf2-2 - cdc14-1 [SGA score = -0.1557, P-value = 0.01623]
- alleles: dbf2-2 - cdc14-2 [SGA score = -0.1237, P-value = 4.963E-15]
- alleles: dbf2-3 - cdc14-1 [SGA score = -0.1276, P-value = 0.002438]
- alleles: dbf2-3 - cdc14-2 [SGA score = -0.1289, P-value = 0.0009491]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| DBF2 CDC14 | 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 | 1 | BioGRID | - | |
| DBF2 CDC14 | Biochemical Activity Biochemical Activity An interaction is inferred from the biochemical effect of one protein upon another, for example, GTP-GDP exchange activity or phosphorylation of a substrate by a kinase. The bait protein executes the activity on the substrate hit protein. A Modification value is recorded for interactions of this type with the possible values Phosphorylation, Ubiquitination, Sumoylation, Dephosphorylation, Methylation, Prenylation, Acetylation, Deubiquitination, Proteolytic Processing, Glucosylation, Nedd(Rub1)ylation, Deacetylation, No Modification, Demethylation. | Low | - | BioGRID | 531044 | |
| DBF2 CDC14 | Biochemical Activity Biochemical Activity An interaction is inferred from the biochemical effect of one protein upon another, for example, GTP-GDP exchange activity or phosphorylation of a substrate by a kinase. The bait protein executes the activity on the substrate hit protein. A Modification value is recorded for interactions of this type with the possible values Phosphorylation, Ubiquitination, Sumoylation, Dephosphorylation, Methylation, Prenylation, Acetylation, Deubiquitination, Proteolytic Processing, Glucosylation, Nedd(Rub1)ylation, Deacetylation, No Modification, Demethylation. | Low | - | BioGRID | 353278 | |
| DBF2 CDC14 | Co-localization Co-localization Interaction inferred from two proteins that co-localize in the cell by indirect immunofluorescence only when in addition, if one gene is deleted, the other protein becomes mis-localized. Also includes co-dependent association of proteins with promoter DNA in chromatin immunoprecipitation experiments. | Low | - | BioGRID | - | |
| DBF2 CDC14 | Dosage Rescue Dosage Rescue A genetic interaction is inferred when over expression or increased dosage of one gene rescues the lethality or growth defect of a strain that is mutated or deleted for another gene. | Low | - | BioGRID | 154162 | |
| DBF2 CDC14 | Dosage Rescue Dosage Rescue A genetic interaction is inferred when over expression or increased dosage of one gene rescues the lethality or growth defect of a strain that is mutated or deleted for another gene. | Low | - | BioGRID | 154161 | |
| DBF2 CDC14 | Dosage Rescue Dosage Rescue A genetic interaction is inferred when over expression or increased dosage of one gene rescues the lethality or growth defect of a strain that is mutated or deleted for another gene. | Low | - | BioGRID | 657490 | |
| CDC14 DBF2 | 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 | -0.191 | BioGRID | 378109 | |
| CDC14 DBF2 | 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 | -0.1581 | BioGRID | 1931828 | |
| CDC14 DBF2 | 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. | Low | - | BioGRID | 157507 | |
| DBF2 CDC14 | 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. | Low | - | BioGRID | 320536 |
Curated By
- BioGRID