MFT1
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
RRP6
Gene Ontology Biological Process
- U1 snRNA 3'-end processing [IGI, IMP]
- U4 snRNA 3'-end processing [IGI, IMP]
- U5 snRNA 3'-end processing [IGI, IMP]
- exonucleolytic trimming to generate mature 3'-end of 5.8S rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA) [IMP]
- histone mRNA catabolic process [IMP]
- nuclear polyadenylation-dependent CUT catabolic process [IGI, IMP]
- nuclear polyadenylation-dependent antisense transcript catabolic process [IMP]
- nuclear polyadenylation-dependent mRNA catabolic process [IMP]
- nuclear polyadenylation-dependent rRNA catabolic process [IGI, IMP]
- nuclear polyadenylation-dependent snRNA catabolic process [IMP]
- nuclear polyadenylation-dependent snoRNA catabolic process [IMP]
- nuclear polyadenylation-dependent tRNA catabolic process [IDA, IGI]
- nuclear retention of pre-mRNA at the site of transcription [IGI]
- nuclear retention of pre-mRNA with aberrant 3'-ends at the site of transcription [IGI]
- polyadenylation-dependent snoRNA 3'-end processing [IMP]
- posttranscriptional tethering of RNA polymerase II gene DNA at nuclear periphery [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
Epistatic relationships reveal the functional organization of yeast transcription factors.
The regulation of gene expression is, in large part, mediated by interplay between the general transcription factors (GTFs) that function to bring about the expression of many genes and site-specific DNA-binding transcription factors (STFs). Here, quantitative genetic profiling using the epistatic miniarray profile (E-MAP) approach allowed us to measure 48 391 pairwise genetic interactions, both negative (aggravating) and positive (alleviating), ... [more]
Quantitative Score
- -6.754151725 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- An Epistatic MiniArray Profile (E-MAP) approach 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 (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 |
|---|---|---|---|---|---|---|
| RRP6 MFT1 | 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 | -10.4512 | BioGRID | 214139 | |
| MFT1 RRP6 | 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 | 330798 | |
| MFT1 RRP6 | 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 | 163506 | |
| MFT1 RRP6 | Synthetic Rescue Synthetic Rescue A genetic interaction is inferred when mutations or deletions of one gene rescues the lethality or growth defect of a strain mutated or deleted for another gene. | Low | - | BioGRID | 163505 |
Curated By
- BioGRID