SOH1
Gene Ontology Biological Process
Gene Ontology Cellular Component
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
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 genetic interaction map of RNA-processing factors reveals links between Sem1/Dss1-containing complexes and mRNA export and splicing.
We used a quantitative, high-density genetic interaction map, or E-MAP (Epistatic MiniArray Profile), to interrogate the relationships within and between RNA-processing pathways. Due to their complexity and the essential roles of many of the components, these pathways have been difficult to functionally dissect. Here, we report the results for 107,155 individual interactions involving 552 mutations, 166 of which are hypomorphic ... [more]
Quantitative Score
- -11.369965 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- An Epistatic MiniArray Profile (E-MAP) analysis was used to quantitatively score genetic interactions based on fitness defects estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an S score > 2.5 for positive interactions (suppression) and S score < -2.5 for negative interactions (synthetic sick/lethality).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| SOH1 DST1 | 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 | -11.0858 | BioGRID | 213943 | |
| SOH1 DST1 | 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 | 256324 | |
| DST1 SOH1 | 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 | 517016 | |
| SOH1 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. | Low | - | BioGRID | 256323 | |
| DST1 SOH1 | 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 | 165692 |
Curated By
- BioGRID