Article
Improved Temporal Resolution and Linked Hidden Markov Modeling for Switchable Single-Molecule FRET
Article first published online: 30 JAN 2011
DOI: 10.1002/cphc.201000834
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Issue

ChemPhysChem
Special Issue: Förster Resonance Energy Transfer
Volume 12, Issue 3, pages 571–579, February 25, 2011
Additional Information
How to Cite
Uphoff, S., Gryte, K., Evans, G. and Kapanidis, A. N. (2011), Improved Temporal Resolution and Linked Hidden Markov Modeling for Switchable Single-Molecule FRET. ChemPhysChem, 12: 571–579. doi: 10.1002/cphc.201000834
Publication History
- Issue published online: 22 FEB 2011
- Article first published online: 30 JAN 2011
- Manuscript Received: 6 OCT 2010
Funded by
- UK Bionanotechnology Interdisciplinary Research Collaboration
- Engineering and Physical Science Research Council. Grant Number: EP/D058775
- Seventh Framework Programme. Grant Number: 201418
- Abstract
- Article
- References
- Cited By
Keywords:
- biophysics;
- fluorescence;
- FRET;
- photophysics;
- single-molecule studies
Abstract
Switchable FRET is the combination of single-molecule Förster resonance energy transfer (smFRET) with photoswitching, the reversible activation and deactivation of fluorophores by light. By photoswitching, multiple donor–acceptor fluorophore pairs can be probed sequentially, thus allowing observation of multiple distances within a single immobilized molecule. Control of the photoinduced switching rates permits adjustment of the temporal resolution of switchable FRET over a wide range of timescales, thereby facilitating application to various dynamical biological systems. We show that fast total internal reflection (TIRF) microscopy can achieve measurements of two FRET pairs with 10 ms temporal resolution within less than 2 s. The concept of switchable FRET is also compatible with confocal microscopy on immobilized molecules, providing better data quality at high temporal resolution. To identify states and extract their transitions from switchable FRET time traces, we also develop linked hidden Markov modeling (HMM) of both FRET and donor–acceptor stoichiometry. Linked HMM successfully identifies transient states in the two-dimensional FRET–stoichiometry space and reconstructs their connectivity network. Improved temporal resolution and novel data analysis make switchable FRET a valuable tool in molecular and structural biology.

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