| Annotated protein: | TRAF2 and NCK interacting kinase. Gene symbol: TNIK. Taxonomy: Rattus norvegicus (Rat). Uniprot ID: A0A0G2K490 |
| antibody wiki: | |
| SynGO gene info: | SynGO data @ TNIK |
| Ontology domain: | Cellular Component |
| SynGO term: | postsynaptic density, intracellular component (GO:0099092) |
| Synapse type(s): | hippocampus, glutamatergic |
| Annotated paper: | Wang Q, et al. "The psychiatric disease risk factors DISC1 and TNIK interact to regulate synapse composition and function" Mol Psychiatry. 2011 Oct;16(10):1006-23 PMID:20838393 |
| Figure(s): | Fig 2C-E |
| Annotation description: | Fig 2C-E, TNIK is localized in excitatory synapses and enriched in the postsynaptic density. Literal: "More specifically, the punctate staining of TNIK colocalized extensively with the puncta of PSD-95 and the AMPA receptor subunit GluR1, suggesting that TNIK is found at excitatory synapses (Figure 2c). Critically, TNIK also colocalized with DISC1 dendritic puncta in primary hippocampal neurons (Figure 2c). Electron microscopy provided further evidence that TNIK is present in dendritic spines and localized both to pre- and postsynaptic compartments, with enrichment in the latter (Figure 2d). This pattern is very similar to that observed for DISC1 (Figure 2d). The postsynaptic localization of TNIK was confirmed biochemically after fractionation of rat hippocampi, which showed TNIK to be greatly enriched in PSD fractions, alongside DISC1 (Figure 2e" |
| Evidence tracking, Biological System: | Intact tissue Cultured neurons |
| Evidence tracking, Protein Targeting: | Antibody (detection) |
| Evidence tracking, Experiment Assay: | Electron Microscopy Confocal Biochemical fractionation (generic) |
| Annotator(s): | Chiara Verpelli (ORCID:0000-0003-2949-9725) Carlo Sala (ORCID:0000-0003-0662-9523) |
| Lab: | CNR Neuroscience Institute Milan and Dept. of Biotechnology and Translational Medicine, University of Milan, 20129 Milan, Italy |
| SynGO annotation ID: | 1809 |
| Dataset release (version): | 20231201 |
| View annotation as GO-CAM model: |  |