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Published on: February 5, 2020
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RNA Folding and Unfolding Under Force: Single-Molecule Experiments and Their Analysis
Laurent Geffroy1,2, Thierry Bizebard3,4, Ulrich Bockelmann1,5
1Nanobiophysics, ESPCI Paris, Paris, France.
Methods in Molecular Biology (Clifton, N.J.)
|February 2, 2020
Summary
This study details analyzing single RNA molecule force data using hidden Markov modeling. This novel strategy helps interpret complex data for understanding RNA three-dimensional structure.
Area of Science:
- Biophysics
- Molecular Biology
- Structural Biology
Background:
- Single-molecule force spectroscopy is used to study RNA folding and unfolding.
- Analyzing force-extension data from single RNA molecules presents challenges due to noisy signals and discrete states.
Purpose of the Study:
- To describe a novel data analysis strategy for single RNA molecule force experiments.
- To interpret analyzed data in terms of RNA three-dimensional structure.
Main Methods:
- Utilizes a dual-beam optical trap setup for applying force to single RNA molecules.
- Implements a hidden Markov modeling procedure for analyzing noisy single-molecule force data.
Main Results:
- Presents a representative example of the hidden Markov modeling analysis applied to RNA force data.
- Demonstrates a strategy to overcome limitations in analyzing discrete states and noisy signals.
Conclusions:
- The hidden Markov modeling approach provides a robust method for analyzing single RNA molecule force spectroscopy data.
- This analysis facilitates a deeper understanding of RNA three-dimensional structure and dynamics.
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