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Fast three-color single-molecule FRET using statistical inference

We describe theory, experiments, and analyses of three-color Förster resonance energy transfer (FRET) spectroscopy for probing sub-millisecond conformational dynamics of protein folding and binding of disordered proteins. We devise a scheme that uses single continuous-wave laser excitation of the do...

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Autores principales: Yoo, Janghyun, Kim, Jae-Yeol, Louis, John M., Gopich, Irina V., Chung, Hoi Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335206/
https://www.ncbi.nlm.nih.gov/pubmed/32620782
http://dx.doi.org/10.1038/s41467-020-17149-w
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author Yoo, Janghyun
Kim, Jae-Yeol
Louis, John M.
Gopich, Irina V.
Chung, Hoi Sung
author_facet Yoo, Janghyun
Kim, Jae-Yeol
Louis, John M.
Gopich, Irina V.
Chung, Hoi Sung
author_sort Yoo, Janghyun
collection PubMed
description We describe theory, experiments, and analyses of three-color Förster resonance energy transfer (FRET) spectroscopy for probing sub-millisecond conformational dynamics of protein folding and binding of disordered proteins. We devise a scheme that uses single continuous-wave laser excitation of the donor instead of alternating excitation of the donor and one of the acceptors. This scheme alleviates photophysical problems of acceptors such as rapid photobleaching, which is crucial for high time resolution experiments with elevated illumination intensity. Our method exploits the molecular species with one of the acceptors absent or photobleached, from which two-color FRET data is collected in the same experiment. We show that three FRET efficiencies and kinetic parameters can be determined without alternating excitation from a global maximum likelihood analysis of two-color and three-color photon trajectories. We implement co-parallelization of CPU-GPU processing, which leads to a significant reduction of the likelihood calculation time for efficient parameter determination.
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spelling pubmed-73352062020-07-09 Fast three-color single-molecule FRET using statistical inference Yoo, Janghyun Kim, Jae-Yeol Louis, John M. Gopich, Irina V. Chung, Hoi Sung Nat Commun Article We describe theory, experiments, and analyses of three-color Förster resonance energy transfer (FRET) spectroscopy for probing sub-millisecond conformational dynamics of protein folding and binding of disordered proteins. We devise a scheme that uses single continuous-wave laser excitation of the donor instead of alternating excitation of the donor and one of the acceptors. This scheme alleviates photophysical problems of acceptors such as rapid photobleaching, which is crucial for high time resolution experiments with elevated illumination intensity. Our method exploits the molecular species with one of the acceptors absent or photobleached, from which two-color FRET data is collected in the same experiment. We show that three FRET efficiencies and kinetic parameters can be determined without alternating excitation from a global maximum likelihood analysis of two-color and three-color photon trajectories. We implement co-parallelization of CPU-GPU processing, which leads to a significant reduction of the likelihood calculation time for efficient parameter determination. Nature Publishing Group UK 2020-07-03 /pmc/articles/PMC7335206/ /pubmed/32620782 http://dx.doi.org/10.1038/s41467-020-17149-w Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020 Open Access 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yoo, Janghyun
Kim, Jae-Yeol
Louis, John M.
Gopich, Irina V.
Chung, Hoi Sung
Fast three-color single-molecule FRET using statistical inference
title Fast three-color single-molecule FRET using statistical inference
title_full Fast three-color single-molecule FRET using statistical inference
title_fullStr Fast three-color single-molecule FRET using statistical inference
title_full_unstemmed Fast three-color single-molecule FRET using statistical inference
title_short Fast three-color single-molecule FRET using statistical inference
title_sort fast three-color single-molecule fret using statistical inference
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335206/
https://www.ncbi.nlm.nih.gov/pubmed/32620782
http://dx.doi.org/10.1038/s41467-020-17149-w
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