| Annotated protein: | Sodium-dependent serotonin transporter (SERT) (5HT transporter) (5HTT) (Solute carrier family 6 member 4). Gene symbol: SLC6A4. Taxonomy: Rattus norvegicus (Rat). Uniprot ID: P31652 |
| antibody wiki: | |
| SynGO gene info: | SynGO data @ SLC6A4 |
| Ontology domain: | Cellular Component |
| SynGO term: | integral component of presynaptic membrane (GO:0099056) |
| Synapse type(s): | striatum, serotonergic |
| Annotated paper: | Pickel VM, et al. "Ultrastructural localization of the serotonin transporter in limbic and motor compartments of the nucleus accumbens" J Neurosci. 1999 Sep 1;19(17):7356-66 PMID:10460242 |
| Figure(s): | Fig. 1-4 |
| Annotation description: | SERT immunoreactivity can be found on the plasma membrane in axon terminals (but not at the active zone) and in axons of serotonergic neurons, and rarely in dendrites and spines of neurons that are not 5-HT positive at the ultrastructural level. Pre-embedding peroxidase labelling (Fig. 1) and immunogold-silver labelling of SERT was performed in the Nucleus accumbens (Nac). Immunogold-labelling demonstrates the presence of SERT on the plasma membrane in axons and axon terminals (Fig.2, 3, 4). Antibodies: antipeptide (C611-630 and E387-401) and anti-fusion protein antisera (N1-85). In control experiments, samples were processed for immunoperoxidase or immunogold labelling with the omission of primary antisera or with antisera that have been pre-absorbed with the peptide. No KO-control. |
| 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: | 820 |
| Dataset release (version): | 20231201 |
| View annotation as GO-CAM model: |  |