| Annotated protein: | Neogenin. Gene symbol: NEO1. Taxonomy: Mus musculus (Mouse). Uniprot ID: P97798 |
| antibody wiki: | |
| SynGO gene info: | SynGO data @ NEO1 |
| Ontology domain: | Cellular Component |
| SynGO term: | integral component of postsynaptic density membrane (GO:0099061) |
| Synapse type(s): | hippocampus, glutamatergic |
| Annotated paper: | Liakath-Ali K, et al. "Transsynaptic cerebellin 4-neogenin 1 signaling mediates LTP in the mouse dentate gyrus" Proc Natl Acad Sci U S A. 2022 May 17;119(20):e2123421119 PMID:35544694 |
| Figure(s): | Figure 2, 4, 5 |
| Annotation description: | Figure 4: Neo1 binds in trans to Cbln4/Nrxn1α-SS4+ complexes, forming bona fide adhesion complexes. Figure 2: Cbln4 deletion in the EC selectively blocks LTP at EC→DG synapses. (EC = entorhinal cortex, DG = dentate gyrus). Figure 5: Postsynaptic deletion of Neo1 in the DG severely impaired LTP in EC→DG synapses of both MPP (Fig. 5 E-G) and LPP connections (Fig. 5 H-J), similar to the presynaptic deletion of Cbln4 in the EC (Fig. 1). Taken together, authors concluded that Cbln4 connects presynaptic Neurexins with postsynaptic neogenin-1 (Neo1) into a transsynaptic complex (with Neo1 in the PSD membrane, Fig. 6). |
| Evidence tracking, Biological System: | Cell-free system Intact tissue |
| Evidence tracking, Protein Targeting: | Genetic transformation (eg; knockout, knockin, mutations) Over-expression |
| Evidence tracking, Experiment Assay: | Electrophysiology (generic) Confocal |
| Non-tracable Author Statement (NAS): | This annotation required some inference over additional information/literature, and is not solely based on observations made in the annotated paper by its original authors. |
| Annotator(s): | Frank Koopmans (ORCID:0000-0002-4973-5732) Guus Smit (ORCID:0000-0002-2286-1587) Matthijs Verhage (ORCID:0000-0002-2514-0216) |
| Lab: | Department of Functional Genomics, Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands |
| SynGO annotation ID: | 4991 |
| Dataset release (version): | 20231201 |
| View annotation as GO-CAM model: |  |