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
TOP1
Gene Ontology Biological Process
- DNA strand elongation involved in DNA replication [IMP]
- DNA topological change [IDA, IMP]
- chromatin assembly or disassembly [IMP]
- chromatin silencing at rDNA [IMP]
- mitotic chromosome condensation [IGI, IMP]
- nuclear migration [IGI, IMP]
- regulation of mitotic recombination [IMP]
- regulation of transcription from RNA polymerase II promoter [IMP]
- transcription elongation from RNA polymerase II promoter [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
- -14.37 [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 |
|---|---|---|---|---|---|---|
| TOP1 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 | -9.6488 | BioGRID | 214370 | |
| TOP1 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 | -0.3301 | BioGRID | 413760 | |
| SGS1 TOP1 | 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 | -0.3301 | BioGRID | 405472 | |
| TOP1 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 | -0.2821 | BioGRID | 2178146 | |
| SGS1 TOP1 | 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 | -0.2863 | BioGRID | 2164114 | |
| SGS1 TOP1 | 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 | 2894286 | |
| SGS1 TOP1 | 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 | 2340580 | |
| SGS1 TOP1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | Low | - | BioGRID | 157363 | |
| TOP1 SGS1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | High | - | BioGRID | 341657 | |
| SGS1 TOP1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | Low | - | BioGRID | 855719 | |
| TOP1 SGS1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | Low | - | BioGRID | 157438 | |
| TOP1 SGS1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | High | - | BioGRID | 513222 | |
| SGS1 TOP1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | High | - | BioGRID | 450427 | |
| SGS1 TOP1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | Low | - | BioGRID | 161205 | |
| SGS1 TOP1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | Low | - | BioGRID | 265645 | |
| SGS1 TOP1 | 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 | 158789 | |
| SGS1 TOP1 | 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. | High | - | BioGRID | 109229 | |
| TOP1 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. | High | - | BioGRID | 109230 | |
| TOP1 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. | High | - | BioGRID | 109232 |
Curated By
- BioGRID