CTF4
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
CDC28
Gene Ontology Biological Process
- 7-methylguanosine mRNA capping [IMP]
- chromatin remodeling [IMP]
- meiotic DNA double-strand break processing [IGI]
- negative regulation of double-strand break repair via nonhomologous end joining [IMP]
- negative regulation of meiotic cell cycle [IMP]
- negative regulation of mitotic cell cycle [IDA]
- negative regulation of sister chromatid cohesion [IMP]
- negative regulation of transcription, DNA-templated [IDA, IMP]
- peptidyl-serine phosphorylation [IDA]
- phosphorylation of RNA polymerase II C-terminal domain [IDA]
- positive regulation of meiotic cell cycle [IDA, IMP]
- positive regulation of mitotic cell cycle [IMP]
- positive regulation of nuclear cell cycle DNA replication [IDA, IMP]
- positive regulation of spindle pole body separation [IGI, IMP]
- positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription, DNA-templated [IDA, IGI]
- positive regulation of triglyceride catabolic process [IGI, IMP]
- protein phosphorylation [IDA]
- regulation of budding cell apical bud growth [IGI, IMP]
- regulation of double-strand break repair via homologous recombination [IMP]
- regulation of filamentous growth [IMP]
- regulation of protein localization [IMP]
- synaptonemal complex assembly [IMP]
- vesicle-mediated transport [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
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.
Publication
Saccharomyces cerevisiae Genetics Predicts Candidate Therapeutic Genetic Interactions at the Mammalian Replication Fork.
The concept of synthetic lethality has gained popularity as a rational guide for predicting chemotherapeutic targets based on negative genetic interactions between tumor-specific somatic mutations and a second-site target gene. One hallmark of most cancers that can be exploited by chemotherapies is chromosome instability (CIN). Because chromosome replication, maintenance, and segregation represent conserved and cell-essential processes, they can be modeled ... [more]
Throughput
- Low Throughput
Ontology Terms
- phenotype: inviable (APO:0000112)
Additional Notes
- Low Throughput: verification by spot dilution assay for growth
- cdc28-1 or cdc28-13 allele
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| CDC28 CTF4 | 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 | -0.3361 | BioGRID | 1961893 | |
| CTF4 CDC28 | 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 | -0.3461 | BioGRID | 2074810 | |
| CDC28 CTF4 | 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 | 353067 |
Curated By
- BioGRID