DST1
Gene Ontology Biological Process
- mRNA cleavage [IDA, IMP]
- maintenance of transcriptional fidelity during DNA-templated transcription elongation from RNA polymerase II promoter [IGI, IMP]
- positive regulation of RNA polymerase II transcriptional preinitiation complex assembly [IDA, IMP]
- positive regulation of transcription elongation from RNA polymerase II promoter [IDA]
- regulation of mRNA 3'-end processing [IGI, IMP]
- tRNA transcription from RNA polymerase III promoter [IMP]
- transcription antitermination [IDA]
- transcription elongation from RNA polymerase I promoter [IDA]
- transcription elongation from RNA polymerase II promoter [IDA, IMP]
- transcription from RNA polymerase III promoter [IDA]
- transcription initiation from RNA polymerase II promoter [IDA, IGI, IMP]
Gene Ontology Molecular Function
BRE1
Gene Ontology Biological Process
- chromatin silencing at telomere [IMP]
- double-strand break repair via homologous recombination [IGI]
- histone monoubiquitination [IMP]
- histone ubiquitination [IMP]
- intra-S DNA damage checkpoint [IMP]
- meiotic DNA double-strand break formation [IMP]
- mitotic G1 DNA damage checkpoint [IMP]
- regulation of DNA-dependent DNA replication initiation [IMP]
- telomere maintenance via recombination [IGI]
- transcription from RNA polymerase II promoter [IGI, IPI]
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
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
- -5.73 [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 |
|---|---|---|---|---|---|---|
| DST1 BRE1 | 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 | -2.9646 | BioGRID | 222658 | |
| BRE1 DST1 | 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 | 167219 | |
| BRE1 DST1 | 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 | 166253 |
Curated By
- BioGRID