Annotated protein:5-hydroxytryptamine receptor 5A (5-HT-5A) (5-HT5A) (REC17) (Serotonin receptor 5A). Gene symbol: HTR5A. Taxonomy: Rattus norvegicus (Rat). Uniprot ID: P35364
antibody wiki:
SynGO gene info:SynGO data @ HTR5A
Ontology domain:Cellular Component
SynGO term:integral component of postsynaptic specialization membrane (GO:0099060)
Synapse type(s):spinal cord
Annotated paper:Doly S, et al. "Pre- and postsynaptic localization of the 5-HT7 receptor in rat dorsal spinal cord: immunocytochemical evidence" J Comp Neurol. 2005 Sep 26;490(3):256-69 PMID:16082681
Figure(s):Fig 6
Annotation description:Under the electron microscope, the immunolabelling of 5-HT7 was localized to cell bodies and dendrites (Fig. 6).
- Labeled cell bodies were found in the upper part of lamina III, but also in lamina II and to a lesser extent in lamina I. Staining was localized on different cytoplasmic organelles, such as rough endoplasmic reticulum and vesicles. In addition, the soma contained a number of immunoreactive large granular vesicles (Fig. 6A).
- In dendrites, the immunolabelling often covered a group of several centrally located neurotubules (Fig. 6B). When the dendrite was postsynaptic to axon terminals, the staining was often observed at the synaptic differentiation (Fig. 6C). Labeled dendrites have been found postsynaptic to small, unlabeled axon terminals having morphological features of 5-HT terminals. In dendrites plasma membrane labelling is always associated with postsynaptic densities.
Evidence tracking, Biological System:Intact tissue
Evidence tracking, Protein Targeting:Antibody (detection)
Evidence tracking, Experiment Assay:Electron Microscopy
Annotator(s):Ryan J. Farrell (ORCID:0000-0003-4022-8707)
Ghazaleh Ashrafi (ORCID:0000-0001-7480-0826)
Camila Pulido (ORCID:0000-0002-5648-066X)
Jaime de Juan-Sanz (ORCID:0000-0002-1212-5623)
Timothy Ryan (ORCID:0000-0003-2533-9548)
Lab:Department of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA
SynGO annotation ID:1946
Dataset release (version):20231201
View annotation as GO-CAM model:Gene Ontology