Related Experiment Video
Updated: Jun 20, 2025

16:21
Visualizing Protein-DNA Interactions in Live Bacterial Cells Using Photoactivated Single-molecule Tracking
Published on: March 10, 2014
17.8K
Visualization, Quantification, and Statistical Evaluation of Dynamics for DNA-Binding Proteins in Bacteria by
Daniel R Hammerl1, Peter L Graumann2
1Zentrum für Synthetische Mikrobiologie (SYNMIKRO), AG Graumann, Marburg, Germany.
Methods in Molecular Biology (Clifton, N.J.)
|July 19, 2024
Summary
Single-molecule tracking (SMT) visualizes protein dynamics in live Bacillus subtilis cells. This method analyzes protein diffusion and binding behaviors, aiding research even for non-expert scientists.
Area of Science:
- Molecular Biology
- Cell Biology
- Biophysics
Background:
- In vivo, DNA-binding proteins exist as free or DNA-bound molecules, with bound proteins categorized as specifically or nonspecifically associated.
- Single-molecule tracking (SMT) is a powerful technique for visualizing protein dynamics within living cells.
Purpose of the Study:
- To detail the methodology for preparing Bacillus subtilis cells for SMT experiments.
- To describe the process of recording and curating movie data for SMT analysis.
- To introduce the SMTracker 2.0 software for analyzing protein dynamics and facilitating research by non-expert scientists.
Main Methods:
- Utilizing fluorescent protein-tagged SMT, specifically employing a monomeric yellow fluorescent protein (mNeonGreen) fused to a protein of interest.
- Implementing bleaching-type SMT involving rapid laser-induced bleaching of fluorophore-labeled molecules.
- Recording and analyzing time-lapse movies of Bacillus subtilis cells to capture single-molecule trajectories.
Main Results:
- Demonstrated the ability to track individual fluorescent protein-tagged molecules in live Bacillus subtilis.
- Enabled the analysis of protein diffusion coefficients, dwell times, and subcellular localization patterns.
- Showcased the utility of SMTracker 2.0 in robustly analyzing SMT data for average molecular behavior.
Conclusions:
- SMT provides detailed insights into protein dynamics, including diffusion and binding behaviors, in living cells.
- The described methods and SMTracker 2.0 software democratize the analysis of SMT data for a broader scientific audience.
- This approach facilitates the study of protein dynamics in various cellular contexts, including mutant strains and altered environmental conditions.

