Statistical analysis of cell migration in 3D using the anisotropic persistent random walk model.

Area of Science:

• Cell Biology
• Biophysics
• Computational Biology

Background:

• Cell migration through 3D extracellular matrices (ECMs) is critical for tissue development and disease.
• Existing analytical tools for 3D cell migration are insufficient.
• The persistent random walk (PRW) model, used for 2D migration, is inadequate for anisotropic 3D cell movement.

Purpose of the Study:

• To develop and present a protocol for analyzing 3D cell motility using an anisotropic PRW model.
• To provide a computational tool for characterizing complex cell migration patterns in three dimensions.

Main Methods:

• Implementation of an anisotropic PRW model in MATLAB software.
• Statistical profiling of experimentally observed 2D and 3D cell trajectories.
• Extraction of migration parameters including speed, persistence, and anisotropy index.

Main Results:

• The developed MATLAB software enables rapid (<30 min per condition) analysis of cell trajectories.
• The protocol quantifies cell speed and persistence in primary and non-primary directions.
• An anisotropic index of migration is extracted, characterizing 3D movement.

Conclusions:

• The anisotropic PRW model and associated software offer a robust method for analyzing 3D cell migration.
• This protocol addresses the lack of adequate analytical tools for characterizing cell movement in complex 3D environments.
• The automated and fast nature of the protocol facilitates detailed statistical profiling of cell motility.