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Updated: Jan 15, 2026
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Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
Published on: May 13, 2012
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Biphasic curvature dependence of cell migration: Persistent randomness versus directionality
Xiaoyu Yu1, Haiqin Wang2, Mingxi Xie3
1School of Mechanical Engineering & Automation, Beihang University, Beijing, China; Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, China.
Biophysical Journal
|October 9, 2025
Summary
Cell migration speed and persistence are linked, changing with surface curvature. Cells switch from adhering to detaching via stress-fiber chords, altering their movement and orientation in response to geometry.
Area of Science:
- Cell Biology
- Biophysics
- Mechanobiology
Background:
- Cell-scale curvature influences cell migration, but mechanisms are not fully understood.
- Quantitative data on cell migration on curved surfaces is limited.
- Understanding geometry's role in cell motility is crucial for tissue engineering and disease research.
Purpose of the Study:
- To investigate the quantitative effects of cell-scale curvature on fibroblast and epithelial cell migration.
- To elucidate the underlying mechanisms of curvature-dependent cell motility.
- To develop a theoretical framework for predicting cell migration on curved surfaces.
Main Methods:
- In vitro experiments using polydimethylsiloxane microcylinders with controlled curvatures.
- Migration analysis of NIH3T3 fibroblasts and MCF10A epithelial cells.
- Development and application of a modified persistent random walk model.
Main Results:
- Cell migration persistence positively correlates with mean speed across curvatures.
- Cell migration exhibits a biphasic dependence on curvature, with an adhered-to-chord transition.
- Cells actively reorient stress fibers and migration direction in response to local curvature.
Conclusions:
- Local cell-scale curvature is a key regulator of cell migration, influencing speed, persistence, and orientation.
- A quantitative framework explains biphasic, curvature-dependent migration.
- Findings provide insight into how geometry governs mesenchymal motility.
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