Literature DB >> 30269991

Differential Nanoscale Topography and Functional Role of GluN2-NMDA Receptor Subtypes at Glutamatergic Synapses.

Blanka Kellermayer1, Joana S Ferreira2, Julien Dupuis2, Florian Levet3, Dolors Grillo-Bosch2, Lucie Bard4, Jeanne Linarès-Loyez5, Delphine Bouchet2, Daniel Choquet3, Dmitri A Rusakov6, Pierre Bon5, Jean-Baptiste Sibarita2, Laurent Cognet5, Matthieu Sainlos2, Ana Luisa Carvalho7, Laurent Groc8.   

Abstract

NMDA receptors (NMDARs) play key roles in the use-dependent adaptation of glutamatergic synapses underpinning memory formation. In the forebrain, these plastic processes involve the varied contributions of GluN2A- and GluN2B-containing NMDARs that have different signaling properties. Although the molecular machinery of synaptic NMDAR trafficking has been under scrutiny, the postsynaptic spatial organization of these two receptor subtypes has remained elusive. Here, we used super-resolution imaging of NMDARs in rat hippocampal synapses to unveil the nanoscale topography of native GluN2A- and GluN2B-NMDARs. Both subtypes were found to be organized in separate nanodomains that vary over the course of development. Furthermore, GluN2A- and GluN2B-NMDAR nanoscale organizations relied on distinct regulatory mechanisms. Strikingly, the selective rearrangement of GluN2A- and GluN2B-NMDARs, with no overall change in NMDAR current amplitude, allowed bi-directional tuning of synaptic LTP. Thus, GluN2A- and GluN2B-NMDAR nanoscale organizations are differentially regulated and seem to involve distinct signaling complexes during synaptic adaptation.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GluN2 subunit; dSTORM; glutamate receptor; single molecule; synapse

Mesh:

Substances:

Year:  2018        PMID: 30269991     DOI: 10.1016/j.neuron.2018.09.012

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  27 in total

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7.  CaMKII activation persistently segregates postsynaptic proteins via liquid phase separation.

Authors:  Tomohisa Hosokawa; Pin-Wu Liu; Qixu Cai; Joana S Ferreira; Florian Levet; Corey Butler; Jean-Baptiste Sibarita; Daniel Choquet; Laurent Groc; Eric Hosy; Mingjie Zhang; Yasunori Hayashi
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