Annotated protein: | Catenin beta-1 (Beta-catenin). Gene symbol: CTNNB1. Taxonomy: Mus musculus (Mouse). Uniprot ID: Q02248 |
antibody wiki: | |
SynGO gene info: | SynGO data @ CTNNB1 |
Ontology domain: | Cellular Component |
SynGO term: | presynaptic active zone cytoplasmic component (GO:0098831) |
Synapse type(s): | cerebral cortex cerebellum |
Annotated paper: | Uchida N, et al. "The catenin/cadherin adhesion system is localized in synaptic junctions bordering transmitter release zones" J Cell Biol. 1996 Nov;135(3):767-79 PMID:8909549 |
Figure(s): | Figure 3D, 4D |
Annotation description: | The paper examines the localization of alphaN-Catenin and Beta-Catenin using pre-embedding immunogold labeling for electron micropscopy. Catenins are cytoplasmatic proteins that bind the Cadherin family of transmembrane proteins. Figure 3: localization in the adult cerebellar nucleus. 3D: Immunogold staining for beta-catenin, showing clusters of beta-catenin localized at the synaptic junctions as at both the pre- the postsynaptic plasma membranes. The clusters appear to be located at the rim of transmitter release zones and are partially associated with synaptic vesicle clusters. Figure 4D: analysis at the cerebral cortex: in axo-spinous synapses (Fig. 4D), the immunolabeling was bordering the release sites and associated with vesicle culsters. The above findings suggest both a pre- and postsynaptic localization for beta-Catenin. *Antibody: 'To detect beta-catenin, we used mouse mAb 5H10 or rabbit polyclonal antibodies (Shibamoto et al., 1995).' |
Evidence tracking, Biological System: | Intact tissue |
Evidence tracking, Protein Targeting: | Antibody (detection) |
Evidence tracking, Experiment Assay: | Electron Microscopy |
Annotator(s): | Noa Lipstein (ORCID:0000-0002-0755-5899) Cordelia Imig (ORCID:0000-0001-7351-8706) Vincent O'connor (ORCID:0000-0003-3185-5709) Nils Brose (ORCID:0000-0003-0938-8534) |
Lab: | Department of Molecular Neurobiology, Max Planck Institute of Experimental Medicine, 37075 Göttingen, Germany |
SynGO annotation ID: | 1000 |
Dataset release (version): | 20231201 |
View annotation as GO-CAM model: |