Annotated protein:Glutamate receptor ionotropic, delta-2 (GluD2) (GluR delta-2 subunit). Gene symbol: GRID2. Taxonomy: Mus musculus (Mouse). Uniprot ID: Q61625
antibody wiki:
SynGO gene info:SynGO data @ GRID2
Ontology domain:Cellular Component
SynGO term:integral component of postsynaptic density membrane (GO:0099061)
Synapse type(s):Parallel fibre (cerebellum -> Purkinje-cell)
Annotated paper:Matsuda K, et al. "Cbln1 is a ligand for an orphan glutamate receptor delta2, a bidirectional synapse organizer" Science. 2010 Apr 16;328(5976):363-8 PMID:20395510
Figure(s):Supplemental Figure S11
Annotation description:GluD2 is localizes to the postsynaptic density membrane of Parallel Fiber (PF)-Purkinje cells synapses in the cerebellum.

Supplementary Fig. S11: Immunogold labeling for GluD2 by SDS-digested freeze-fracture replica labeling in the molecular layer of cerebellar tissue from WT and GluD2-KO mice. "Immunoparticles for GluD2 (10 nm) accumulated over a postsynaptic membrane wild-type (A), but not in GluD2-null (B), mouse cerebellum." The number of GluD2 particles at these synapses was positively correlated with the synapse size (E). Double labeling of AMPARs (anti-pan GluA, 5 nm particles) and GluD2 (15 nm particles) in a Sprague-Dawley rat showed a similar distribution of both proteins at PF-PC synapses.

- Based on the known transmembrane topology of the protein, the "integral component of ... membrane" term was chosen.
Evidence tracking, Biological System:Intact tissue
Evidence tracking, Protein Targeting:Genetic transformation (eg; knockout, knockin, mutations)
Antibody (detection)
Evidence tracking, Experiment Assay:Electron Microscopy
Annotator(s):Hana Goldschmidt (ORCID:0000-0002-5676-366X)
Richard Huganir (ORCID:0000-0001-9783-5183)
Lab:Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA and Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA
SynGO annotation ID:2593
Dataset release (version):20210225
View annotation as GO-CAM model:Gene Ontology