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Elephants in the Dark: Insights and Incongruities in Pentameric Ligand-gated Ion Channel Models
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
Number of Authors: 12021 (English)In: Journal of Molecular Biology, ISSN 0022-2836, E-ISSN 1089-8638, Vol. 433, no 17, article id 167128Article, review/survey (Refereed) Published
Abstract [en]

The superfamily of pentameric ligand-gated ion channels (pLGICs) comprises key players in electrochemical signal transduction across evolution, including historic model systems for receptor allostery and targets for drug development. Accordingly, structural studies of these channels have steadily increased, and now approach 250 depositions in the protein data bank. This review contextualizes currently available structures in the pLGIC family, focusing on morphology, ligand binding, and gating in three model subfamilies: the prokaryotic channel GLIC, the cation-selective nicotinic acetylcholine receptor, and the anion-selective glycine receptor. Common themes include the challenging process of capturing and annotating channels in distinct functional states; partially conserved gating mechanisms, including remodeling at the extracellular/transmembrane-domain interface; and diversity beyond the protein level, arising from post-translational modifications, ligands, lipids, and signaling partners. Interpreting pLGIC structures can be compared to describing an elephant in the dark, relying on touch alone to comprehend the many parts of a monumental beast: each structure represents a snapshot in time under specific experimental conditions, which must be integrated with further structure, function, and simulations data to build a comprehensive model, and understand how one channel may fundamentally differ from another.

Place, publisher, year, edition, pages
2021. Vol. 433, no 17, article id 167128
Keywords [en]
Structure, Gating, GLIC, Nicotinic acetylcholine receptor, Glycine receptor
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:su:diva-196866DOI: 10.1016/j.jmb.2021.167128ISI: 000680456700015PubMedID: 34224751OAI: oai:DiVA.org:su-196866DiVA, id: diva2:1595176
Available from: 2021-09-17 Created: 2021-09-17 Last updated: 2022-02-25Bibliographically approved

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Howard, Rebecca J.

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