PMPCB
Gene Ontology Biological Process
UQCRC1
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
Paralog knockout profiling identifies DUSP4 and DUSP6 as a digenic dependence in MAPK pathway-driven cancers.
Although single-gene perturbation screens have revealed a number of new targets, vulnerabilities specific to frequently altered drivers have not been uncovered. An important question is whether the compensatory relationship between functionally redundant genes masks potential therapeutic targets in single-gene perturbation studies. To identify digenic dependencies, we developed a CRISPR paralog targeting library to investigate the viability effects of disrupting 3,284 ... [more]
Quantitative Score
- 0.003103242 [Confidence Score]
Throughput
- High Throughput
Additional Notes
- CRISPR GI screen
- Cell Line: MELJUSO_SKIN score (5.88454696985593E-11)
- Cell Line: PATU8988S_PANCREAS score (7.99621553868434E-09)
- Cell Line: A549_LUNG score (0.0031032421209346)
- Cell Line: HS944T_SKIN score (0.0121961517350517)
- Experimental Setup: Timecourse-Synthetic Lethality
- GIST: A-phenotypic negative genetic interaction
- Library: Digenic Paralog CRISPR library
- Significance Threshold: GEMINI FDR < 0.05
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
PMPCB UQCRC1 | Proximity Label-MS Proximity Label-MS An interaction is inferred when a bait-enzyme fusion protein selectively modifies a vicinal protein with a diffusible reactive product, followed by affinity capture of the modified protein and identification by mass spectrometric methods. | High | 0.88 | BioGRID | 2857707 |
Curated By
- BioGRID