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A structurally derived model of subunit-dependent NMDA receptor function.
Gibb, Alasdair J; Ogden, Kevin K; McDaniel, Miranda J; Vance, Katie M; Kell, Steven A; Butch, Chris; Burger, Pieter; Liotta, Dennis C; Traynelis, Stephen F.
Afiliação
  • Gibb AJ; Department of Neuroscience, Physiology and Pharmacology, University College London, Gower Street, London, WC1E 6BT, UK.
  • Ogden KK; Department of Pharmacology, Emory University School of Medicine, Rollins Research Center, 1510 Clifton Road, Atlanta, GA, 30322, USA.
  • McDaniel MJ; Department of Pharmacology, Emory University School of Medicine, Rollins Research Center, 1510 Clifton Road, Atlanta, GA, 30322, USA.
  • Vance KM; Department of Pharmacology, Emory University School of Medicine, Rollins Research Center, 1510 Clifton Road, Atlanta, GA, 30322, USA.
  • Kell SA; Department of Chemistry, Emory University School, 1515 Dickey Drive, Atlanta, GA, 30322, USA.
  • Butch C; Department of Chemistry, Emory University School, 1515 Dickey Drive, Atlanta, GA, 30322, USA.
  • Burger P; Department of Chemistry, Emory University School, 1515 Dickey Drive, Atlanta, GA, 30322, USA.
  • Liotta DC; Department of Chemistry, Emory University School, 1515 Dickey Drive, Atlanta, GA, 30322, USA.
  • Traynelis SF; Department of Pharmacology, Emory University School of Medicine, Rollins Research Center, 1510 Clifton Road, Atlanta, GA, 30322, USA.
J Physiol ; 596(17): 4057-4089, 2018 09.
Article em En | MEDLINE | ID: mdl-29917241
ABSTRACT
KEY POINTS The kinetics of NMDA receptor (NMDAR) signalling are a critical aspect of the physiology of excitatory synaptic transmission in the brain. Here we develop a mechanistic description of NMDAR function based on the receptor tetrameric structure and the principle that each agonist-bound subunit must undergo some rate-limiting conformational change after agonist binding, prior to channel opening. By fitting this mechanism to single channel data using a new MATLAB-based software implementation of maximum likelihood fitting with correction for limited time resolution, rate constants were derived for this mechanism that reflect distinct structural changes and predict the properties of macroscopic and synaptic NMDAR currents. The principles applied here to develop a mechanistic description of the heterotetrameric NMDAR, and the software used in this analysis, can be equally applied to other heterotetrameric glutamate receptors, providing a unifying mechanistic framework to understanding the physiology of glutamate receptor signalling in the brain. ABSTRACT NMDA receptors (NMDARs) are tetrameric complexes comprising two glycine-binding GluN1 and two glutamate-binding GluN2 subunits. Four GluN2 subunits encoded by different genes can produce up to 10 different di- and triheteromeric receptors. In addition, some neurological patients contain a de novo mutation or inherited rare variant in only one subunit. There is currently no mechanistic framework to describe tetrameric receptor function that can be extended to receptors with two different GluN1 or GluN2 subunits. Here we use the structural features of glutamate receptors to develop a mechanism describing both single channel and macroscopic NMDAR currents. We propose that each agonist-bound subunit undergoes some rate-limiting conformational change after agonist binding, prior to channel opening. We hypothesize that this conformational change occurs within a triad of interactions between a short helix preceding the M1 transmembrane helix, the highly conserved M3 motif encoded by the residues SYTANLAAF, and the linker preceding the M4 transmembrane helix of the adjacent subunit. Molecular dynamics simulations suggest that pre-M1 helix motion is uncorrelated between subunits, which we interpret to suggest independent subunit-specific conformational changes may influence these pre-gating steps. According to this interpretation, these conformational changes are the main determinants of the key kinetic properties of NMDA receptor activation following agonist binding, and so these steps sculpt their physiological role. We show that this structurally derived tetrameric model describes both single channel and macroscopic data, giving a new approach to interpreting functional properties of synaptic NMDARs that provides a logical framework to understanding receptors with non-identical subunits.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ativação do Canal Iônico / Receptores de N-Metil-D-Aspartato / Transmissão Sináptica / Ácido Glutâmico Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ativação do Canal Iônico / Receptores de N-Metil-D-Aspartato / Transmissão Sináptica / Ácido Glutâmico Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article