CTR9
Gene Ontology Biological Process
- DNA-templated transcription, termination [IMP]
- chromatin organization involved in regulation of transcription [IMP]
- mRNA 3'-end processing [IMP]
- positive regulation of histone H3-K36 trimethylation [IMP]
- positive regulation of phosphorylation of RNA polymerase II C-terminal domain serine 2 residues [IMP]
- positive regulation of transcription elongation from RNA polymerase I promoter [IDA]
- regulation of chromatin silencing at telomere [IMP]
- regulation of histone H2B conserved C-terminal lysine ubiquitination [IDA]
- regulation of histone H3-K4 methylation [IMP]
- regulation of transcription initiation from RNA polymerase II promoter [IMP]
- regulation of transcription involved in G1/S transition of mitotic cell cycle [IMP]
- regulation of transcription-coupled nucleotide-excision repair [IGI]
- snoRNA 3'-end processing [IMP]
- snoRNA transcription from an RNA polymerase II promoter [IMP]
- transcription elongation from RNA polymerase I promoter [IMP]
- transcription elongation from RNA polymerase II promoter [IGI]
- transcription from RNA polymerase I promoter [IGI]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
ELP2
Gene Ontology Biological Process
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
Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map.
Defining the functional relationships between proteins is critical for understanding virtually all aspects of cell biology. Large-scale identification of protein complexes has provided one important step towards this goal; however, even knowledge of the stoichiometry, affinity and lifetime of every protein-protein interaction would not reveal the functional relationships between and within such complexes. Genetic interactions can provide functional information that ... [more]
Quantitative Score
- -3.553278 [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 |
|---|---|---|---|---|---|---|
| ELP2 CTR9 | 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 | 483328 |
Curated By
- BioGRID