| Annotated protein: | Reticulon-4 (Neurite outgrowth inhibitor) (Nogo protein). Gene symbol: RTN4. Taxonomy: Mus musculus (Mouse). Uniprot ID: Q99P72 |
| antibody wiki: | |
| SynGO gene info: | SynGO data @ RTN4 |
| Ontology domain: | Biological Process |
| SynGO term: | modulation of chemical synaptic transmission (GO:0050804) |
| Synapse type(s): | hippocampus, glutamatergic |
| Annotated paper: | Berry S, et al. "Loss of Nogo-A, encoded by the schizophrenia risk gene Rtn4, reduces mGlu3 expression and causes hyperexcitability in hippocampal CA3 circuits" PLoS One. 2018 Jul 24;13(7):e0200896 PMID:30040841 |
| Figure(s): | Figure 5 |
| Annotation description: | Figure 5C: Bath application of the mGlu2/3 receptor agonist DCG-IV induces an inward current in voltage-clamped WT CA3 pyramidal cells. DCG-IV failed to induce significant current in CA3 pyramidal cells from RTN4 KO (Nogo-A-/- ) or mGlu3-/- mice indicating that RTN4 might be downregulating mGlu3 receptor activity in CA3 pyramidal cells of Nogo-A-/- mice. qPCR studies did not demonstrate a reduction of Grm3 transcript levels in the cells. The term 'synaptic signalling via neuropeptide' was used because of the lack of evidence that RTN4 induces an allosteric modulation of mGluR2/3 receptor. A similar experimental paradigm was conducted to check for modulation of mGlu2 receptors in dentate granule cells. Loss of RTN4 did not affect mGlu2 receptor activity in CA3 pyramidal cells. |
| Evidence tracking, Biological System: | Cultured neurons |
| Evidence tracking, Protein Targeting: | Genetic transformation (eg; knockout, knockin, mutations) Antagonist / agonist |
| Evidence tracking, Experiment Assay: | Whole-cell patch clamp |
| Annotator(s): | Dnyanada Sahasrabudhe (ORCID:0000-0003-2916-7616) 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: | 4026 |
| Dataset release (version): | 20231201 |
| View annotation as GO-CAM model: |  |