{"title":"Quantitative analysis methods for free diffusion single-molecule FRET experiments","authors":"Irina V. Gopich, Hoi Sung Chung","doi":"10.1016/j.sbi.2025.103075","DOIUrl":null,"url":null,"abstract":"<div><div>Single-molecule Förster Resonance Energy Transfer (smFRET) is a powerful technique for investigating the structure and dynamics of biomolecules. This review focuses on recent advances in quantitative methods to analyze freely diffusing molecules in smFRET. The methods include traditional approaches of analyzing FRET efficiency and advanced photon-by-photon techniques based on maximum likelihood estimation without binning photon sequences. More recently, methods explicitly accounting for molecular diffusion have been developed, addressing biases arising from variations in brightness and diffusivity among molecular states and species. Applications of these tools include studies of protein folding, DNA dynamics, and oligomerization processes of neurodegenerative proteins. These advancements expand the ability of free diffusion-based smFRET to elucidate the dynamic behavior of biomolecules on the timescales relevant to their biological processes.</div></div>","PeriodicalId":10887,"journal":{"name":"Current opinion in structural biology","volume":"93 ","pages":"Article 103075"},"PeriodicalIF":6.1000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in structural biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959440X25000934","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Single-molecule Förster Resonance Energy Transfer (smFRET) is a powerful technique for investigating the structure and dynamics of biomolecules. This review focuses on recent advances in quantitative methods to analyze freely diffusing molecules in smFRET. The methods include traditional approaches of analyzing FRET efficiency and advanced photon-by-photon techniques based on maximum likelihood estimation without binning photon sequences. More recently, methods explicitly accounting for molecular diffusion have been developed, addressing biases arising from variations in brightness and diffusivity among molecular states and species. Applications of these tools include studies of protein folding, DNA dynamics, and oligomerization processes of neurodegenerative proteins. These advancements expand the ability of free diffusion-based smFRET to elucidate the dynamic behavior of biomolecules on the timescales relevant to their biological processes.
期刊介绍:
Current Opinion in Structural Biology (COSB) aims to stimulate scientifically grounded, interdisciplinary, multi-scale debate and exchange of ideas. It contains polished, concise and timely reviews and opinions, with particular emphasis on those articles published in the past two years. In addition to describing recent trends, the authors are encouraged to give their subjective opinion of the topics discussed.
In COSB, we help the reader by providing in a systematic manner:
1. The views of experts on current advances in their field in a clear and readable form.
2. Evaluations of the most interesting papers, annotated by experts, from the great wealth of original publications.
[...]
The subject of Structural Biology is divided into twelve themed sections, each of which is reviewed once a year. Each issue contains two sections, and the amount of space devoted to each section is related to its importance.
-Folding and Binding-
Nucleic acids and their protein complexes-
Macromolecular Machines-
Theory and Simulation-
Sequences and Topology-
New constructs and expression of proteins-
Membranes-
Engineering and Design-
Carbohydrate-protein interactions and glycosylation-
Biophysical and molecular biological methods-
Multi-protein assemblies in signalling-
Catalysis and Regulation