BIM1
Gene Ontology Biological Process
- microtubule depolymerization [IMP]
- microtubule nucleation [IPI]
- mitotic sister chromatid cohesion [IGI, IMP]
- mitotic spindle assembly checkpoint [TAS]
- negative regulation of microtubule depolymerization [IMP]
- nuclear migration along microtubule [IMP]
- positive regulation of microtubule polymerization [IDA]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
MCM16
Gene Ontology Biological Process
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
- -0.7972 [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: bim1 - mcm16 [SGA score = -0.7972, P-value = 1.792E-40]
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| MCM16 BIM1 | 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 | -12.772 | BioGRID | 213601 | |
| BIM1 MCM16 | 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 | -0.7053 | BioGRID | 374609 | |
| BIM1 MCM16 | 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. | Low/High | - | BioGRID | 438974 | |
| MCM16 BIM1 | 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 | 195686 | |
| BIM1 MCM16 | 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 | 166553 | |
| BIM1 MCM16 | 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 | 109378 |
Curated By
- BioGRID