About this item:

607 Views | 0 Downloads

Author Notes:

Correspondence: S.F. Traynelis, Department of Pharmacology, Emory University School of Medicine, Rollins Research Center, 1510 Clifton Road, Atlanta, GA 30322-3090; Tel.: +1 404 727 0357; Fax: +1 404 727 0365; Email: strayne@emory.edu


Research Funding:

This work was supported by NIH-NINDS (NS036654, NS065371, S.F.T.), Training Grants 5T32-NS007480-07, T32-DA01504006, and T32-ES012870 (K.M.V.), the Villum Kann Rasmussen Foundation (K.B.H.), and the Lundbeck Foundation (K.B.H.).


  • Ionotropic glutamate receptors
  • Electrophysiology
  • Single channel recordings
  • NR2D

Modal gating of GluN1/GluN2D NMDA receptors


Journal Title:



Volume 71


, Pages 184-190

Type of Work:

Article | Post-print: After Peer Review


GluN2D-containing NMDA receptors are characterized by an unusually low open probability (0.023), even in the presence of saturating glutamate and glycine. Here, we show that recombinant GluN1/GluN2D NMDA receptors can enter brief periods with exceptionally high open probability (0.65) in excised outside-out and cell-attached single channel recordings. GluN1/GluN2D channels during the enhanced gating mode have similar open durations as occurs outside of the high open probability burst of activity. However, the periods in the high gating mode only exhibit 4 brief closed duration exponential components similar to the briefest observed for openings outside the burst. GluN1/GluN2D receptors also open to a more prominent subconductance level compared to activity outside the high open probability burst. Evaluation of a five-state NMDA receptor gating model suggests that both the opening and closing rate constants differ for the periods of higher open probability compared to the high open probability arm of a gating model previously published for GluN1/GluN2D fit to a representative full length single channel recording. These data demonstrate that GluN2D-containing NMDA receptors can enter a conformation or mode that allows the pore to gate with high probability.

Copyright information:

© 2013 Elsevier Ltd. All rights reserved.

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Creative Commons License

Export to EndNote