| Annotated protein: | Large ribosomal subunit protein uL2 (60S ribosomal protein L8). Gene symbol: RPL8. Taxonomy: Mus musculus (Mouse). Uniprot ID: P62918 |
| antibody wiki: | |
| SynGO gene info: | SynGO data @ RPL8 |
| Ontology domain: | Cellular Component |
| SynGO term: | synapse (GO:0045202) |
| Synapse type(s): | hippocampus |
| Annotated paper: | Distler U, et al. "In-depth protein profiling of the postsynaptic density from mouse hippocampus using data-independent acquisition proteomics" Proteomics. 2014 Nov;14(21-22):2607-13 PMID:25211037 |
| Figure(s): | Supplementary Table 12 |
| Annotation description: | The protein co-purifies with post-synaptic densities in a purification scheme starting from juvenile mouse hippocampus, and is identified by mass spectrometry. - The protein is listed in Sup.Table S12 tab "other fractions". 19/09/2018 Pim - Protein mentioned on row 2321 of Suppl.Table.12 |
| Evidence tracking, Biological System: | Intact tissue |
| Evidence tracking, Protein Targeting: | none of the above |
| Evidence tracking, Experiment Assay: | Mass-spectrometry Biochemical fractionation (generic) |
| Annotator(s): | Alexandros Kanellopoulos (ORCID:0000-0002-2094-7491) Vittoria Mariano (ORCID:0000-0002-9848-0262) Achsel Tilmann (ORCID:0000-0002-1190-4481) Claudia Bagni (ORCID:0000-0002-4419-210X) |
| Lab: | Department of Fundamental Neurosciences, University of Lausanne, CH-1006 Lausanne, Switzerland; Dept Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy |
| Additional literature: | The authors isolated hPSD from neocortical biopsies of nine adults (Supplementary Table 1 and Supplementary Fig. 1a) and performed proteomic profiling using LC-MS/MS to comprehensively identify a total of 1,461 proteins (total hPSD), 748 of which were detected in all three replicates (consensus hPSD, used for all subsequent analysis, except where explicitly stated otherwise; Supplementary Table 2). @ PMID:21170055 |
| SynGO annotation ID: | 3914 |
| Dataset release (version): | 20231201 |
| View annotation as GO-CAM model: |  |