Inferring maps of forces inside cell membrane microdomains

Area of Science:

• Biophysics
• Cell Biology
• Biochemistry

Background:

• Tracking single biomolecules in cell membranes is crucial for understanding cellular processes.
• Current methods, like mean square displacement, offer limited insights into molecular dynamics.
• Effective labeling strategies using organic fluorophores and nanoparticles are essential for trajectory analysis.

Purpose of the Study:

• To introduce general inference methods for precise estimation of forces and diffusion coefficients.
• To fully exploit information from experimental biomolecular trajectories.
• To analyze forces and potentials acting on membrane-bound biomolecules, such as toxin receptors.

Main Methods:

• Development of general inference methods for analyzing biomolecular trajectories.
• Numerical demonstration of rapid and reliable convergence of the inference scheme.
• Application of the method to infer forces on toxin receptors labeled with lanthanide-ion nanoparticles.

Main Results:

• The proposed inference methods provide sharp estimates of forces and diffusion coefficients.
• The scheme demonstrates rapid and reliable convergence on numerically generated trajectories.
• Successful application to infer forces and potentials on a specific membrane receptor.

Conclusions:

• The developed inference scheme is broadly applicable to any labeled biomolecule.
• The method offers significant advancements in understanding membrane microdomain dynamics.
• This approach is relevant for studying membrane compartmentation and molecular interactions.