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Cell Migration

Cell Migration

Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.

Cell Migration

Cell Migration

Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.

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A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker...

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Related Experiment Video

Updated: Dec 25, 2025

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

Published on: October 5, 2014

A statistical inference approach to reconstruct intercellular interactions in cell migration experiments.

Elena Agliari¹, Pablo J Sáez², Adriano Barra³

¹Dipartimento di Matematica, Sapienza Università di Roma, Rome, Italy.

Science Advances

|March 21, 2020

Summary

This summary is machine-generated.

We developed a statistical method to detect cell-cell interactions driving collective cell migration. The approach identified interactions in wound healing but not in dendritic cell migration towards chemokines.

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Last Updated: Dec 25, 2025

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

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Published on: October 5, 2014

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration

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Published on: April 3, 2015

In vitro Cell Migration and Invasion Assays

In vitro Cell Migration and Invasion Assays

Published on: June 1, 2014

Area of Science:

Cell biology
Biophysics
Statistical modeling

Background:

Cell migration is fundamental to biological processes.
Migration can occur individually or collectively, driven by cell-cell interactions.
Distinguishing between these migration types is crucial for understanding cellular behavior.

Purpose of the Study:

To develop a statistical inference approach to detect cell-cell interactions in cell motility.
To differentiate between individual and collective cell migration patterns.
To apply the method to experimental data from different cell migration models.

Main Methods:

Statistical inference framework for analyzing cell movement data.
Application of the method to synthetic data for validation.
Testing the method on two experimental datasets: wound healing and dendritic cell migration in a chemokine gradient.

Main Results:

The inference method successfully detected cell-cell interactions in the wound-healing model, consistent with known intercellular contacts.
Analysis of dendritic cells migrating in a chemokine gradient showed no evidence of cell-cell interactions.
The results suggest independent migration of dendritic cells sensing the chemokine source.

Conclusions:

The proposed statistical method can effectively identify the presence of cell-cell interactions driving collective cell migration.
Dendritic cells in a chemokine gradient appear to migrate individually, without significant intercellular signaling.
Mature dendritic cells may prioritize efficient migration to lymph vessels by ignoring intercellular cues.