Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/48799
Title: ABEL-FRET bridges the timescale gap in single-molecule measurements of the structural dynamics in the A2A adenosine receptor
Authors: MASLOV, Ivan 
Borshchevskiy, Valentin
Perez, Ivan
Cherezov, Vadim
Hofkens, Johan
HENDRIX, Jelle 
Borsch, Michael
Gensch, Thomas
Issue Date: 2026
Publisher: NATURE PORTFOLIO
Source: Communications Chemistry, 9 (1) (Art N° 114)
Abstract: The functional complexity of G protein-coupled receptors (GPCRs) arises from their structural dynamics, spanning timescales from nanoseconds to minutes. Single-molecule F & ouml;rster Resonance Energy Transfer (smFRET) enables direct observation of these dynamics in individual receptors, either freely diffusing in solution, using confocal microscopy, or immobilized on surfaces, using Total Internal Reflection Fluorescence (TIRF) camera-based microscopy. However, these modalities are limited to distinct timescales - faster than milliseconds or slower than hundreds of milliseconds, respectively. To overcome these limitations, we employed smFRET with Anti-Brownian Electrokinetic (ABEL) trapping to extend the observation time of untethered human A2A adenosine receptors (A2AAR) reconstituted in lipid nanodiscs from milliseconds to seconds. We characterized conformational heterogeneity in apo and ligand-bound A2AAR and updated previous estimates of dwell times for long-lived receptor states from milliseconds to hundreds of milliseconds. Our results highlight the power of ABEL-FRET to probe GPCRs dynamics and offer valuable insights into GPCR conformational landscapes.
Notes: Börsch, M (corresponding author), Jena Univ Hosp, Single Mol Microscopy Grp, Jena, Germany.; Gensch, T (corresponding author), Forschungszentrum Julich, Inst Biol Informat Proc Mol & Cellular Physiol IBI, Julich, Germany.
michael.boersch@med.uni-jena.de; t.gensch@fz-juelich.de
Document URI: http://hdl.handle.net/1942/48799
ISSN: 2399-3669
e-ISSN: 2399-3669
DOI: 10.1038/s42004-026-01941-8
ISI #: 001712045200002
Datasets of the publication: 10.5281/zenodo.18711022
Rights: The Author(s) 2026. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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