HSL1
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
RNT1
Gene Ontology Biological Process
- U1 snRNA 3'-end processing [IMP]
- U4 snRNA 3'-end processing [IMP]
- U5 snRNA 3'-end processing [IDA, IMP]
- box C/D snoRNA processing [IMP]
- box H/ACA snoRNA processing [IMP]
- chromatin organization [IMP]
- mRNA cleavage [IDA, IMP]
- rRNA processing [IMP]
- rRNA transcription [IMP]
- regulation of fungal-type cell wall organization [IGI, IMP]
- termination of RNA polymerase II transcription, exosome-dependent [IDA, IMP, 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
Systematic analysis of complex genetic interactions.
To systematically explore complex genetic interactions, we constructed ~200,000 yeast triple mutants and scored negative trigenic interactions. We selected double-mutant query genes across a broad spectrum of biological processes, spanning a range of quantitative features of the global digenic interaction network and tested for a genetic interaction with a third mutation. Trigenic interactions often occurred among functionally related genes, and ... [more]
Quantitative Score
- -0.217313 [Confidence Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Digenic interaction: Query allele name: ho-delta+hsl1-delta; Array allele name: rnt1-47 (GI score = -0.217313, p-value = 0.0361; Digenic)
- Digenic interactions in this Synthetic genetic array (SGA) analysis were considered to be significant when epsilon > 0.08 and p < 0.05 (positive genetic interaction) and when epsilon < -0.08 and p < 0.05 (negative genetic interaction).
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
HSL1 RNT1 | Biochemical Activity Biochemical Activity An interaction is inferred from the biochemical effect of one protein upon another, for example, GTP-GDP exchange activity or phosphorylation of a substrate by a kinase. The bait protein executes the activity on the substrate hit protein. A Modification value is recorded for interactions of this type with the possible values Phosphorylation, Ubiquitination, Sumoylation, Dephosphorylation, Methylation, Prenylation, Acetylation, Deubiquitination, Proteolytic Processing, Glucosylation, Nedd(Rub1)ylation, Deacetylation, No Modification, Demethylation. | High | - | BioGRID | 198497 | |
HSL1 RNT1 | 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 | -0.159 | BioGRID | 2053977 | |
RNT1 HSL1 | 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 | -0.1203 | BioGRID | 2007270 | |
RNT1 HSL1 | Phenotypic Suppression Phenotypic Suppression A genetic interaction is inferred when mutation or over expression of one gene results in suppression of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene. | Low | - | BioGRID | 737571 | |
RNT1 HSL1 | 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 | 737573 |
Curated By
- BioGRID