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Cited by 547

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Signaling at Purinergic P2X Receptors

Surprenant, Annmarie, North, R. Alan·2009·Annual Review of Physiology

Abstract

P2X receptors are membrane cation channels gated by extracellular ATP. Seven P2X receptor subunits (P2X 1-7) are widely distributed in excitable and nonexcitable cells of vertebrates. They play key roles in inter alia afferent signaling (including pain), regulation of renal blood flow, vascular endothelium, and inflammatory responses. We summarize the evidence for these and other roles, emphasizing experimental work with selective receptor antagonists or with knockout mice. The receptors are trimeric membrane proteins: Studies of the biophysical properties of mutated subunits expressed in heterologous cells have indicated parts of the subunits involved in ATP binding, ion permeation (including calcium permeability), and membrane trafficking. We review our current understanding of the molecular properties of P2X receptors, including how this understanding is informed by the identification of distantly related P2X receptors in simple eukaryotes.

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Crossref · 10.1146/annurev.physiol.70.113006.100630

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Metadata

Authors
Surprenant, A., & North, R. A.
Venue
Annual Review of Physiology
Published
2009-03-01
Volume
71
Issue
1
Pages
333-359
ISSN
  • 0066-4278 (ISSN-L)
  • 1545-1585
OpenAlex
W2105149937
Cited by
547
References
6
FWCI
1.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Signaling at Purinergic P2X Receptors. https://app.cochat.ai/papers/10.1146/annurev.physiol.70.113006.100630
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Surprenant, A., & North, R. A. (2009). Signaling at Purinergic P2X Receptors. Annual Review of Physiology. https://doi.org/10.1146/annurev.physiol.70.113006.100630

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.