CDC13
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
LST4
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
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.
Publication
A genomewide suppressor and enhancer analysis of cdc13-1 reveals varied cellular processes influencing telomere capping in Saccharomyces cerevisiae.
In Saccharomyces cerevisiae, Cdc13 binds telomeric DNA to recruit telomerase and to "cap" chromosome ends. In temperature-sensitive cdc13-1 mutants telomeric DNA is degraded and cell-cycle progression is inhibited. To identify novel proteins and pathways that cap telomeres, or that respond to uncapped telomeres, we combined cdc13-1 with the yeast gene deletion collection and used high-throughput spot-test assays to measure growth. ... [more]
Throughput
- High Throughput
Ontology Terms
- phenotype: inviable (APO:0000112)
Additional Notes
- High Throughput: The Synthetic Genetic Array (SGA) analysis also identified genes showing synthetic sick or synthetic lethal interactions with cdc13-1.
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
CDC13 LST4 | Positive Genetic Positive Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected under a given condition. This term is reserved for high or low throughput studies with scores. | High | 1.197 | BioGRID | 809029 | |
CDC13 LST4 | Positive Genetic Positive Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected under a given condition. This term is reserved for high or low throughput studies with scores. | High | 0.163 | BioGRID | 1879784 |
Curated By
- BioGRID