Literature DB >> 16223763

Maximum likelihood fitting of single channel NMDA activity with a mechanism composed of independent dimers of subunits.

Stephanie Schorge1, Sergio Elenes, David Colquhoun.   

Abstract

Steady-state single channel activity from NMDA receptors was recorded at a range of concentrations of both glutamate and glycine. The results were fitted with several plausible mechanisms that describe both binding and gating. The mechanisms we have tested were based on our present understanding of receptor structure, or based on previously proposed mechanisms for these receptors. The steady-state channel properties appear to have virtually no dependence on the concentration of either ligand, other than the frequency of channel activations. This limited the ability to discriminate detail in the mechanism, and, along with the persistence of open-shut correlations in high agonist concentrations, suggests that NMDA channels, unlike other neurotransmitter receptors, cannot open unless all binding sites are occupied. As usual for analyses of NMDA channels, the applicability of our results to physiological observations is limited by uncertainties in synaptic zinc and hydrogen ion concentrations, both of these being known to affect the receptor. The mechanism that we propose, on the basis of steady-state single channel recordings, predicts with fair accuracy the apparent open and shut-time distributions in different concentrations of agonists, correlations between open and shut times, and both the rising and falling phases of the macroscopic response to concentration jumps, and can therefore account for the main features of synaptic currents.

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Year:  2005        PMID: 16223763      PMCID: PMC1464248          DOI: 10.1113/jphysiol.2005.095349

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  48 in total

1.  Proteomic analysis of NMDA receptor-adhesion protein signaling complexes.

Authors:  H Husi; M A Ward; J S Choudhary; W P Blackstock; S G Grant
Journal:  Nat Neurosci       Date:  2000-07       Impact factor: 24.884

2.  NMDA channel behavior depends on agonist affinity.

Authors:  R A Lester; C E Jahr
Journal:  J Neurosci       Date:  1992-02       Impact factor: 6.167

3.  Voltage-dependent block by intracellular Mg2+ of N-methyl-D-aspartate-activated channels.

Authors:  J W Johnson; P Ascher
Journal:  Biophys J       Date:  1990-05       Impact factor: 4.033

4.  Kinetic properties of the glycine receptor main- and sub-conductance states of mouse spinal cord neurones in culture.

Authors:  R E Twyman; R L Macdonald
Journal:  J Physiol       Date:  1991-04       Impact factor: 5.182

5.  Asymptotic distributions of apparent open times and shut times in a single channel record allowing for the omission of brief events.

Authors:  A G Hawkes; A Jalali; D Colquhoun
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1992-09-29       Impact factor: 6.237

6.  Adjacent interval analysis distinguishes among gating mechanisms for the fast chloride channel from rat skeletal muscle.

Authors:  A L Blatz; K L Magleby
Journal:  J Physiol       Date:  1989-03       Impact factor: 5.182

7.  Activation kinetics reveal the number of glutamate and glycine binding sites on the N-methyl-D-aspartate receptor.

Authors:  J D Clements; G L Westbrook
Journal:  Neuron       Date:  1991-10       Impact factor: 17.173

8.  Proton inhibition of N-methyl-D-aspartate receptors in cerebellar neurons.

Authors:  S F Traynelis; S G Cull-Candy
Journal:  Nature       Date:  1990-05-24       Impact factor: 49.962

9.  Kinetic analysis of antagonist action at N-methyl-D-aspartic acid receptors. Two binding sites each for glutamate and glycine.

Authors:  M Benveniste; M L Mayer
Journal:  Biophys J       Date:  1991-03       Impact factor: 4.033

10.  The role of divalent cations in the N-methyl-D-aspartate responses of mouse central neurones in culture.

Authors:  P Ascher; L Nowak
Journal:  J Physiol       Date:  1988-05       Impact factor: 5.182

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  58 in total

Review 1.  Synaptic neurotransmitter-gated receptors.

Authors:  Trevor G Smart; Pierre Paoletti
Journal:  Cold Spring Harb Perspect Biol       Date:  2012-03-01       Impact factor: 10.005

2.  GluN1-specific redox effects on the kinetic mechanism of NMDA receptor activation.

Authors:  Iehab Talukder; Rashek Kazi; Lonnie P Wollmuth
Journal:  Biophys J       Date:  2011-11-15       Impact factor: 4.033

Review 3.  Modes of glutamate receptor gating.

Authors:  Gabriela K Popescu
Journal:  J Physiol       Date:  2011-11-21       Impact factor: 5.182

4.  Interactions among positions in the third and fourth membrane-associated domains at the intersubunit interface of the N-methyl-D-aspartate receptor forming sites of alcohol action.

Authors:  Hong Ren; Yulin Zhao; Donard S Dwyer; Robert W Peoples
Journal:  J Biol Chem       Date:  2012-06-19       Impact factor: 5.157

Review 5.  Glutamate receptor ion channels: structure, regulation, and function.

Authors:  Stephen F Traynelis; Lonnie P Wollmuth; Chris J McBain; Frank S Menniti; Katie M Vance; Kevin K Ogden; Kasper B Hansen; Hongjie Yuan; Scott J Myers; Ray Dingledine
Journal:  Pharmacol Rev       Date:  2010-09       Impact factor: 25.468

6.  GluN1 splice variant control of GluN1/GluN2D NMDA receptors.

Authors:  Katie M Vance; Kasper B Hansen; Stephen F Traynelis
Journal:  J Physiol       Date:  2012-05-28       Impact factor: 5.182

7.  The α1K276E startle disease mutation reveals multiple intermediate states in the gating of glycine receptors.

Authors:  Remigijus Lape; Andrew J R Plested; Mirko Moroni; David Colquhoun; Lucia G Sivilotti
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

Review 8.  Agonist-activated ion channels.

Authors:  David Colquhoun
Journal:  Br J Pharmacol       Date:  2006-01       Impact factor: 8.739

9.  Glutamate unbinding reveals new insights into NMDA receptor activation.

Authors:  Alasdair J Gibb
Journal:  J Physiol       Date:  2006-05-25       Impact factor: 5.182

10.  Statistical evaluation of ion-channel gating models based on distributions of log-likelihood ratios.

Authors:  László Csanády
Journal:  Biophys J       Date:  2006-02-03       Impact factor: 4.033

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