| Annotated protein: | Teneurin-3 (Ten-3) (Protein Odd Oz/ten-m homolog 3) (Tenascin-M3) (Ten-m3) (Teneurin transmembrane protein 3). Gene symbol: TENM3. Taxonomy: Mus musculus (Mouse). Uniprot ID: Q9WTS6 |
| antibody wiki: | |
| SynGO gene info: | SynGO data @ TENM3 |
| Ontology domain: | Biological Process |
| SynGO term: | synapse adhesion between pre- and post-synapse (GO:0099560) |
| Synapse type(s): | hippocampus, glutamatergic |
| Annotated paper: | Zhang X, et al. "Teneurins assemble into presynaptic nanoclusters that promote synapse formation via postsynaptic non-teneurin ligands" Nat Commun. 2022 Apr 28;13(1):2297 PMID:35484136 |
| Figure(s): | Figure 5-8 |
| Annotation description: | "We opted to examine the double deletion of two teneurins (Tenm3 and Tenm4) instead of single deletions of only Tenm3 or Tenm4 because of the potential for redundancy among teneurins. In our experiments, four different approaches, global synapse quantifications, SynaptoTag mapping, trans-synaptic pseudotyped rabies virus tracing, and electrophysiological recordings, established that presynaptic but not postsynaptic Tenm3 and Tenm4 are essential for various synapses formed by MEC neurons onto hippocampal targets (Figs. 5-8)." "Thus Tenm3 and Tenm4 function in brain as presynaptic adhesion molecules that are essential for the formation and/or maintenance of at least a subset of excitatory synapses by binding to postsynaptic non-teneurin ligands since postsynaptic teneurins are not required." |
| Evidence tracking, Biological System: | Intact tissue |
| Evidence tracking, Protein Targeting: | Antibody (detection) |
| Evidence tracking, Experiment Assay: | Super resolution |
| 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: | 4659 |
| Dataset release (version): | 20231201 |
| View annotation as GO-CAM model: |  |