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Related Experiment Video

Updated: Dec 29, 2025

OaAEP1-Mediated Enzymatic Synthesis and Immobilization of Polymerized Protein for Single-Molecule Force Spectroscopy

OaAEP1-Mediated Enzymatic Synthesis and Immobilization of Polymerized Protein for Single-Molecule Force Spectroscopy

Published on: February 5, 2020

RNA Folding and Unfolding Under Force: Single-Molecule Experiments and Their Analysis.

Laurent Geffroy^1,2, Thierry Bizebard^3,4, Ulrich Bockelmann^1,5

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.

Keywords:

Force Optical trap RNA Single molecule Unzipping

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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.