Related Experiment Video
Updated: May 3, 2026

Conventional BODIPY Conjugates for Live-Cell Super-Resolution Microscopy and Single-Molecule Tracking
Published on: June 8, 2020
Universal Persistent Brownian Motions in Confluent Tissues.
Alessandro Rizzi1, Sangwoo Kim1
1École Polytechnique Fédérale de Lausanne (EPFL), Institute of Mechanical Engineering, CH-1015 Lausanne, Switzerland.
Biological tissues exhibit complex dynamics driven by cellular forces. This study reveals that cell motion universally follows persistent Brownian dynamics, regardless of specific force generation mechanisms, aiding in understanding tissue behavior.
Area of Science:
- Biophysics
- Materials Science
- Cell Biology
Background:
- Biological tissues are active materials with nonequilibrium dynamics.
- Cellular force generation mechanisms, including traction forces and junctional tension fluctuations, drive tissue dynamics.
- Understanding these forces is crucial for deciphering tissue behavior.
Purpose of the Study:
- To compare the effects of traction forces and junctional tension fluctuations on confluent tissue dynamics.
- To investigate the universal features and nonuniversal correlations in active tissue dynamics.
- To establish a minimal framework for describing tissue dynamics and inferring dominant active forces.
Main Methods:
- Utilized a two-dimensional active foam model.
- Compared distinct modes of cellular activity: traction forces and junctional tension fluctuations.
- Analyzed cell shapes, rearrangement statistics, spatiotemporal correlations, and cellular motion.
Main Results:
- Different active forces produced distinct cell shapes, rearrangement statistics, and fluid-state correlations.
- Long-time cellular motion universally converged to persistent Brownian dynamics.
- Correlations between cell geometry, rearrangement rate, and fluidity were nonuniversal and force-dependent.
Conclusions:
- Persistent Brownian motion offers a minimal yet universal framework for describing active tissue dynamics.
- Distinct active forces leave identifiable signatures in tissue structure and dynamics.
- The study enables inference of dominant active forces in fluid-state tissues based on observed signatures.
More Related Videos
10:20Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
Published on: September 5, 2019
07:13Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes
Published on: February 13, 2021