单光子smFRET。3脉冲照明的应用

IF 2.4 Q3 BIOPHYSICS Biophysical reports Pub Date : 2022-11-01 DOI:10.1101/2022.07.20.500892
Matthew Safar, A. Saurabh, Bidyut Sarkar, M. Fazel, Kunihiko Ishii, T. Tahara, Ioannis Sgouralis, S. Pressé
{"title":"单光子smFRET。3脉冲照明的应用","authors":"Matthew Safar, A. Saurabh, Bidyut Sarkar, M. Fazel, Kunihiko Ishii, T. Tahara, Ioannis Sgouralis, S. Pressé","doi":"10.1101/2022.07.20.500892","DOIUrl":null,"url":null,"abstract":"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; 3) taking into account detector noise sources such as crosstalk, 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 manuscript 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. Why It Matters In the first companion manuscript of this series, we developed new methods to analyze noisy smFRET data. These methods eliminate the requirement of a priori specifying the dimensionality of the physical model describing a molecular complex’s kinetics. Here, we apply these methods to experimentally obtained datasets with samples illuminated by laser pulses at regular time intervals. In particular, we study conformational dynamics of Holliday junctions.","PeriodicalId":72402,"journal":{"name":"Biophysical reports","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Single-photon smFRET. III. Application to pulsed illumination\",\"authors\":\"Matthew Safar, A. Saurabh, Bidyut Sarkar, M. Fazel, Kunihiko Ishii, T. Tahara, Ioannis Sgouralis, S. Pressé\",\"doi\":\"10.1101/2022.07.20.500892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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; 3) taking into account detector noise sources such as crosstalk, 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 manuscript 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. Why It Matters In the first companion manuscript of this series, we developed new methods to analyze noisy smFRET data. These methods eliminate the requirement of a priori specifying the dimensionality of the physical model describing a molecular complex’s kinetics. Here, we apply these methods to experimentally obtained datasets with samples illuminated by laser pulses at regular time intervals. In particular, we study conformational dynamics of Holliday junctions.\",\"PeriodicalId\":72402,\"journal\":{\"name\":\"Biophysical reports\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biophysical reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2022.07.20.500892\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophysical reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2022.07.20.500892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 6

摘要

Förster共振能量转移(FRET)使用脉冲照明已经关键利用寿命信息在FRET分析。然而,脉冲照明下单光子、单分子FRET (smFRET)数据的定量分析仍然存在主要挑战,包括:1)同时推断动力学和系统状态数;2)提供估计的不确定性,特别是系统状态数的不确定性;3)考虑到探测器噪声源如串扰,以及对不确定度有贡献的仪器响应函数;4)除背景等其他实验噪声源外。在这里,我们实现了第一篇论文中描述的贝叶斯非参数框架,该框架解决了脉冲照明情况下smFRET数据分析中的所有上述问题。此外,我们将我们的方法应用于使用Holliday结获得的合成和实验数据。在本系列的第一篇论文中,我们开发了新的方法来分析有噪声的smFRET数据。这些方法消除了先验地指定描述分子复合物动力学的物理模型的维度的要求。在这里,我们将这些方法应用于实验获得的数据集,这些数据集的样本以固定的时间间隔被激光脉冲照射。特别地,我们研究了Holliday结点的构象动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Single-photon smFRET. III. Application to pulsed illumination
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; 3) taking into account detector noise sources such as crosstalk, 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 manuscript 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. Why It Matters In the first companion manuscript of this series, we developed new methods to analyze noisy smFRET data. These methods eliminate the requirement of a priori specifying the dimensionality of the physical model describing a molecular complex’s kinetics. Here, we apply these methods to experimentally obtained datasets with samples illuminated by laser pulses at regular time intervals. In particular, we study conformational dynamics of Holliday junctions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biophysical reports
Biophysical reports Biophysics
CiteScore
2.40
自引率
0.00%
发文量
0
审稿时长
75 days
期刊最新文献
Development of a digital amplifier system for cut-open oocyte electrophysiology. Structural studies of the human α1 glycine receptor via site-specific chemical cross-linking coupled with mass spectrometry. Expression level of cardiac ryanodine receptors dictates properties of Ca2+-induced Ca2+ release. Nonlinear classifiers for wet-neuromorphic computing using gene regulatory neural network. Magnetic field platform for experiments on well-mixed and spatially structured microbial populations.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1