RPN10
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
CDC48
Gene Ontology Biological Process
- ER-associated misfolded protein catabolic process [IMP]
- ER-associated ubiquitin-dependent protein catabolic process [IMP]
- SCF complex disassembly in response to cadmium stress [IMP]
- cytoplasm-associated proteasomal ubiquitin-dependent protein catabolic process [IMP]
- endoplasmic reticulum membrane fusion [IMP]
- macroautophagy [IMP]
- mitochondria-associated ubiquitin-dependent protein catabolic process [IMP]
- mitotic spindle disassembly [IMP]
- nonfunctional rRNA decay [IMP]
- nucleus-associated proteasomal ubiquitin-dependent protein catabolic process [IMP]
- piecemeal microautophagy of nucleus [IMP]
- positive regulation of histone H2B ubiquitination [IMP]
- positive regulation of protein localization to nucleus [IMP]
- proteasome-mediated ubiquitin-dependent protein catabolic process [IMP]
- retrograde protein transport, ER to cytosol [IMP]
- ribophagy [IMP]
- ribosome-associated ubiquitin-dependent protein catabolic process [IMP]
- sister chromatid biorientation [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
- Cdc48p-Npl4p-Ufd1p AAA ATPase complex [IDA]
- Cdc48p-Npl4p-Vms1p AAA ATPase complex [IDA]
- Doa10p ubiquitin ligase complex [IDA]
- Hrd1p ubiquitin ligase ERAD-L complex [IDA]
- RQC complex [IDA]
- cytosol [IDA]
- cytosolic large ribosomal subunit [IDA]
- endoplasmic reticulum membrane [IDA]
- mating projection tip [IDA]
- mitochondrion [IDA]
- nucleus [IDA]
Affinity Capture-MS
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 is identified by mass spectrometric methods.
Publication
Characterization of the proteasome interaction network using a QTAX-based tag-team strategy and protein interaction network analysis.
Quantitative analysis of tandem-affinity purified cross-linked (x) protein complexes (QTAX) is a powerful technique for the identification of protein interactions, including weak and/or transient components. Here, we apply a QTAX-based tag-team mass spectrometry strategy coupled with protein network analysis to acquire a comprehensive and detailed assessment of the protein interaction network of the yeast 26S proteasome. We have determined that ... [more]
Throughput
- High Throughput
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| CDC48 RPN10 | 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 | -0.2616 | BioGRID | 363489 | |
| RPN10 CDC48 | 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 | -0.425 | BioGRID | 2048544 | |
| CDC48 RPN10 | 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 | -0.4055 | BioGRID | 1965704 | |
| CDC48 RPN10 | 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 | 2973200 |
Curated By
- BioGRID