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
PPH3
Gene Ontology Biological Process
- double-strand break repair via homologous recombination [IGI]
- negative regulation of DNA damage checkpoint [IMP]
- negative regulation of glucose mediated signaling pathway [IMP]
- positive regulation of double-strand break repair via nonhomologous end joining [IMP]
- positive regulation of nitrogen compound metabolic process [IMP]
- protein dephosphorylation [IDA, IMP]
- signal transduction involved in meiotic recombination checkpoint [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
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
- -6.738555 [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 |
|---|---|---|---|---|---|---|
| BIM1 PPH3 | 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 | -0.1839 | BioGRID | 374457 | |
| BIM1 PPH3 | 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 | -0.2096 | BioGRID | 2107032 |
Curated By
- BioGRID