Single-photon smFRET. III. Application to pulsed illumination.

Autor:	Safar M; Center for Biological Physics, Arizona State University, Tempe, Arizona.; Department of Mathematics and Statistical Science, Arizona State University, Tempe, Arizona., Saurabh A; Center for Biological Physics, Arizona State University, Tempe, Arizona.; Department of Physics, Arizona State University, Tempe, Arizona., Sarkar B; Molecular Spectroscopy Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama, Japan.; Ultrafast Spectroscopy Research Team, RIKEN Center for Advanced Photonics (RAP), 2-1 Hirosawa, Wako, Saitama, Japan., Fazel M; Center for Biological Physics, Arizona State University, Tempe, Arizona.; Department of Physics, Arizona State University, Tempe, Arizona., Ishii K; Molecular Spectroscopy Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama, Japan.; Ultrafast Spectroscopy Research Team, RIKEN Center for Advanced Photonics (RAP), 2-1 Hirosawa, Wako, Saitama, Japan., Tahara T; Molecular Spectroscopy Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama, Japan.; Ultrafast Spectroscopy Research Team, RIKEN Center for Advanced Photonics (RAP), 2-1 Hirosawa, Wako, Saitama, Japan., Sgouralis I; Department of Mathematics, University of Tennessee Knoxville, Knoxville, Tennessee., Pressé S; Center for Biological Physics, Arizona State University, Tempe, Arizona.; Department of Physics, Arizona State University, Tempe, Arizona.; School of Molecular Sciences, Arizona State University, Phoenix, Arizona.
Jazyk:	angličtina
Zdroj:	Biophysical reports [Biophys Rep (N Y)] 2022 Nov 25; Vol. 2 (4), pp. 100088. Date of Electronic Publication: 2022 Nov 25 (Print Publication: 2022).
DOI:	10.1016/j.bpr.2022.100088
Abstrakt:	Förster resonance energy transfer (FRET) using pulsed illumination has been pivotal in leveraging lifetime information in FRET analysis. However, there remain major challenges in quantitative single-photon, single-molecule FRET (smFRET) data analysis under pulsed illumination including 1) simultaneously deducing kinetics and number of system states; 2) providing uncertainties over estimates, particularly uncertainty over the number of system states; and 3) taking into account detector noise sources such as cross talk and the instrument response function contributing to uncertainty; in addition to 4) other experimental noise sources such as background. Here, we implement the Bayesian nonparametric framework described in the first companion article that addresses all aforementioned issues in smFRET data analysis specialized for the case of pulsed illumination. Furthermore, we apply our method to both synthetic as well as experimental data acquired using Holliday junctions. Competing Interests: The authors declare no competing interests. (© 2022 The Authors.)
Databáze:	MEDLINE
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