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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7335206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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