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Related Experiment Video

Updated: Jan 5, 2026

Single Cell Durotaxis Assay for Assessing Mechanical Control of Cellular Movement and Related Signaling Events

Single Cell Durotaxis Assay for Assessing Mechanical Control of Cellular Movement and Related Signaling Events

Published on: August 27, 2019

DLITE Uses Cell-Cell Interface Movement to Better Infer Cell-Cell Tensions.

Ritvik Vasan¹, Mary M Maleckar², C David Williams²

¹Department of Mechanical and Aerospace Engineering, University of California, San Diego, San Diego, California.

Biophysical Journal

|October 26, 2019

Summary

This summary is machine-generated.

We developed Dynamic Local Intercellular Tension Estimation (DLITE) to accurately measure cell-cell forces over time. This method improves stability and reduces errors in analyzing collective cell behavior during development and tissue dynamics.

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A Simplified System for Evaluating Cell Mechanosensing and Durotaxis In Vitro

A Simplified System for Evaluating Cell Mechanosensing and Durotaxis In Vitro

Published on: August 27, 2015

Area of Science:

Cellular and Molecular Biology
Biophysics
Developmental Biology

Background:

Cell shape and connectivity are crucial for tissue development and change dynamically.
Intercellular forces, driven by actomyosin, membrane tension, and adhesion, dictate these shape changes.
Inferring temporally evolving cell-cell forces is challenging due to digitization issues.

Purpose of the Study:

To introduce a robust computational method for estimating dynamic intercellular tension.
To improve the accuracy and stability of force inference in collective cell behavior.
To analyze the relationship between cell-cell forces and colony dynamics.

Main Methods:

Developed Dynamic Local Intercellular Tension Estimation (DLITE), an extension of previous single-time-point methods.
Validated DLITE using synthetic geometries with introduced errors (connectivity, angle, localization, topology).
Applied DLITE to time-series data of human-induced pluripotent stem cell colonies.

Main Results:

DLITE shows improved correlation with ground truth for tension evolution compared to isolated time-point methods.
DLITE demonstrates reduced sensitivity to digitization ambiguities and topological changes.
Stable inference of cell-cell tensions was achieved, correlating force dynamics with colony rearrangement.

Conclusions:

DLITE provides a more stable and accurate method for inferring dynamic intercellular forces.
The method is robust to common digitization errors in biological imaging.
DLITE facilitates deeper understanding of force-driven dynamics in developing tissues and cell colonies.