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
CDC16
Gene Ontology Biological Process
Gene Ontology Molecular Function
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.
Publication
The cell-cycle transcriptional network generates and transmits a pulse of transcription once each cell cycle.
Multiple studies have suggested the critical roles of cyclin-dependent kinases (CDKs) as well as a transcription factor (TF) network in generating the robust cell-cycle transcriptional program. However, the precise mechanisms by which these components function together in the gene regulatory network remain unclear. Here we show that the TF network can generate and transmit a "pulse" of transcription independently of ... [more]
Throughput
- Low Throughput
Ontology Terms
- phenotype: cell cycle progression (APO:0000253)
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
CDC28 CDC16 | 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. | Low | - | BioGRID | 1035915 | |
CDC28 CDC16 | 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. | Low | - | BioGRID | 151301 | |
CDC28 CDC16 | 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. | Low | - | BioGRID | 3751320 | |
CDC28 CDC16 | 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 | 157780 |
Curated By
- BioGRID