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Cited by 478

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The Permeabilizing ATP Receptor, P2X7

Open access
Rassendren, François, Buell, Gary N., Virginio, Caterina, Collo, Ginetta, North, R.Alan, Surprenant, Annmarie·1997·Journal of Biological Chemistry

Abstract

A cDNA was isolated from a human monocyte library that encodes the P2X7 receptor; the predicted protein is 80% identical to the rat receptor. Whole cell recordings were made from human embryonic kidney cells transfected with the human cDNA and from human macrophages. Brief applications (1-3 s) of ATP and 2', 3'-(4-benzoyl)-benzoyl-ATP elicited cation-selective currents. When compared with the rat P2X7 receptor, these effects required higher concentrations of agonists, were more potentiated by removal of extracellular magnesium ions, and reversed more rapidly on agonist removal. Longer applications of agonists permeabilized the cells, as evidenced by uptake of the propidium dye YO-PRO1, but this was less marked than for cells expressing the rat P2X7 receptor. Expression of chimeric molecules indicated that some of the differences between the rat and human receptor could be reversed by exchanging the intracellular C-terminal domain of the proteins.

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Metadata

Authors
Rassendren, F., Buell, G. N., Virginio, C., Collo, G., North, R. A., & Surprenant, A.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1997-02
Volume
272
Issue
9
Pages
5482-5486
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1970613983
Cited by
478
References
0
FWCI
15.48
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The Permeabilizing ATP Receptor, P2X7. https://app.cochat.ai/papers/10.1074/jbc.272.9.5482
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Rassendren, F., Buell, G. N., Virginio, C., Collo, G., North, R. A., & Surprenant, A. (1997). The Permeabilizing ATP Receptor, P2X7. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.272.9.5482

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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.