SGS1
Gene Ontology Biological Process
- DNA double-strand break processing [IGI]
- DNA duplex unwinding [IDA]
- DNA topological change [IDA]
- DNA unwinding involved in DNA replication [IDA]
- cellular response to DNA damage stimulus [IMP]
- chromosome organization [IMP]
- double-strand break repair via homologous recombination [IGI, IMP]
- gene conversion at mating-type locus, DNA double-strand break processing [IGI]
- intra-S DNA damage checkpoint [IGI, IMP]
- meiotic DNA double-strand break processing [IGI]
- meiotic chromosome segregation [IMP]
- mitotic sister chromatid segregation [IMP]
- negative regulation of meiotic joint molecule formation [IGI]
- regulation of reciprocal meiotic recombination [IGI]
- replicative cell aging [IMP]
- telomere maintenance [IGI]
- telomere maintenance via recombination [IGI, IMP]
- telomeric 3' overhang formation [IGI]
Gene Ontology Molecular Function
DNA2
Gene Ontology Biological Process
Gene Ontology Molecular Function
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
Saccharomyces cerevisiae Genetics Predicts Candidate Therapeutic Genetic Interactions at the Mammalian Replication Fork.
The concept of synthetic lethality has gained popularity as a rational guide for predicting chemotherapeutic targets based on negative genetic interactions between tumor-specific somatic mutations and a second-site target gene. One hallmark of most cancers that can be exploited by chemotherapies is chromosome instability (CIN). Because chromosome replication, maintenance, and segregation represent conserved and cell-essential processes, they can be modeled ... [more]
Quantitative Score
- 0.012317301 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: inviable (APO:0000112)
Additional Notes
- SGA analysis for synthetic lethal interactions between mutations whose human orthologs are found to be mutated in cancers, and the deletion mutant collection, where the interaction probability P < 0.05
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| SGS1 DNA2 | Affinity Capture-Western Affinity Capture-Western An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner identified by Western blot with a specific polyclonal antibody or second epitope tag. This category is also used if an interacting protein is visualized directly by dye stain or radioactivity. Note that this differs from any co-purification experiment involving affinity capture in that the co-purification experiment involves at least one extra purification step to get rid of potential contaminating proteins. | Low | - | BioGRID | - | |
| DNA2 SGS1 | 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 | -0.2549 | BioGRID | 1988662 | |
| SGS1 DNA2 | 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 | -0.2607 | BioGRID | 2062781 | |
| SGS1 DNA2 | 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 | - | BioGRID | 2898258 | |
| DNA2 SGS1 | 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 | - | BioGRID | 156188 | |
| SGS1 DNA2 | 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. | High | - | BioGRID | 2340618 | |
| DNA2 SGS1 | 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. | Low | - | BioGRID | 206183 | |
| DNA2 SGS1 | 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. | Low | - | BioGRID | 657000 | |
| DNA2 SGS1 | 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. | Low | - | BioGRID | 157965 | |
| DNA2 SGS1 | Two-hybrid Two-hybrid Bait protein expressed as a DNA binding domain (DBD) fusion and prey expressed as a transcriptional activation domain (TAD) fusion and interaction measured by reporter gene activation. | Low | - | BioGRID | - |
Curated By
- BioGRID