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Cited by 406

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

Control of Proton Sensitivity of the NMDA Receptor by RNA Splicing and Polyamines

Traynelis, Stephen F., Hartley, Melissa, Heinemann, Stephen F.·1995·Science

Abstract

The function of the N -methyl-D-aspartate (NMDA)-preferring glutamate receptor can be regulated by extracellular pH, a process that may be important during ischemia in the brain or during seizures. Protons inhibit NMDA receptor function by 50 percent at pH 7.3 through interactions with the NR1 subunit, and both polyamines and NR1 exon 5 potentiate receptor function through relief of the tonic proton inhibition present at physiological pH. A single amino acid (lysine 211) was identified that mediates the effects of exon 5 in the rat brain. Electroneutral substitutions at this position restored pH sensitivity and, consequently, polyamine relief of tonic inhibition. This effect, together with the structural similarities between polyamines and the surface loop encoded by exon 5, suggest that exon 5 may act as a tethered pH-sensitive constitutive modulator of NMDA receptor function.

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Crossref · 10.1126/science.7754371

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Metadata

Authors
Traynelis, S. F., Hartley, M., & Heinemann, S. F.
Venue
Science
Published
1995-05-12
Volume
268
Issue
5212
Pages
873-876
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2056422818
Cited by
406
References
50
FWCI
9.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Control of Proton Sensitivity of the NMDA Receptor by RNA Splicing and Polyamines. https://app.cochat.ai/papers/10.1126/science.7754371
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Traynelis, S. F., Hartley, M., & Heinemann, S. F. (1995). Control of Proton Sensitivity of the NMDA Receptor by RNA Splicing and Polyamines. Science. https://doi.org/10.1126/science.7754371

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.