CDC73
Gene Ontology Biological Process
- mRNA 3'-end processing [IMP]
- negative regulation of DNA recombination [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]
- positive regulation of transcription elongation from RNA polymerase II promoter [IMP]
- recruitment of 3'-end processing factors to RNA polymerase II holoenzyme complex [IMP]
- regulation of histone H2B conserved C-terminal lysine ubiquitination [IDA]
- regulation of transcription-coupled nucleotide-excision repair [IGI]
- transcription elongation from RNA polymerase I promoter [IMP]
- transcription elongation from RNA polymerase II promoter [IGI]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
CCR4
Gene Ontology Biological Process
- DNA replication [IGI]
- DNA replication checkpoint [IGI]
- nuclear-transcribed mRNA catabolic process, deadenylation-dependent decay [IDA, IGI, IMP]
- nuclear-transcribed mRNA poly(A) tail shortening [IDA, IMP]
- positive regulation of transcription elongation from RNA polymerase II promoter [IDA, IPI]
- regulation of transcription from RNA polymerase II promoter [IPI]
- replication fork protection [IGI]
- transcription elongation from RNA polymerase II promoter [IGI, IMP]
- traversing start control point of mitotic cell cycle [IMP]
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
- -3.39 [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 |
|---|---|---|---|---|---|---|
| CDC73 CCR4 | Affinity Capture-Western Affinity Capture-Western An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner identified by Western blot with a specific polyclonal antibody or second epitope tag. This category is also used if an interacting protein is visualized directly by dye stain or radioactivity. Note that this differs from any co-purification experiment involving affinity capture in that the co-purification experiment involves at least one extra purification step to get rid of potential contaminating proteins. | Low | - | BioGRID | - | |
| CDC73 CCR4 | 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 | 157827 | |
| CDC73 CCR4 | 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 | 157826 |
Curated By
- BioGRID