RPL11B
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
GLC7
Gene Ontology Biological Process
- DNA damage checkpoint [IMP]
- DNA replication checkpoint [IGI, IMP]
- ascospore formation [IMP]
- cell budding [IMP]
- cellular ion homeostasis [IMP]
- chromosome segregation [IMP]
- dephosphorylation of RNA polymerase II C-terminal domain [IDA]
- glycogen metabolic process [IMP]
- histone dephosphorylation [IDA, IMP]
- meiotic nuclear division [IPI]
- mitotic spindle assembly checkpoint [IMP]
- positive regulation of protein dephosphorylation [IMP]
- protein dephosphorylation [IDA]
- protein localization to kinetochore [IMP]
- rRNA processing [IMP]
- regulation of carbohydrate metabolic process [IGI, IPI]
- regulation of cell cycle [IMP]
- regulation of cell shape during vegetative growth phase [IGI]
- regulation of mitotic cell cycle [IMP]
- replication fork processing [IMP]
- response to heat [IMP, IPI]
- termination of RNA polymerase II transcription, exosome-dependent [IPI]
- termination of RNA polymerase II transcription, poly(A)-coupled [IPI]
- transfer RNA gene-mediated silencing [IMP]
Gene Ontology Molecular Function
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 Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.
An emerging therapeutic strategy for cancer is to induce selective lethality in a tumor by exploiting interactions between its driving mutations and specific drug targets. Here we use a multi-species approach to develop a resource of synthetic lethal interactions relevant to cancer therapy. First, we screen in yeast ∼169,000 potential interactions among orthologs of human tumor suppressor genes (TSG) and ... [more]
Quantitative Score
- -4.17 [Confidence Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Untreated conditions. SGA was used to score genetic interactions based on the colony size of double versus single mutants. Genetic interactions were considered significant if they had an S score >= 2.0 for positive interactions (epistatic or suppressor interactions) and S score <= -2.5 for negative interactions (synthetic sick/lethal interactions).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| GLC7 RPL11B | 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 | -0.1688 | BioGRID | 376161 |
Curated By
- BioGRID