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A quantitative coordinate system for developmental dynamics.

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Single-cell morphodynamics predict cell fate decisions during mucociliary epithelial differentiation.

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Related Experiment Video

Updated: Jan 10, 2026

Mucociliary Epithelial Organoids from Xenopus Embryonic Cells: Generation, Culture and High-Resolution Live Imaging
07:44

Mucociliary Epithelial Organoids from Xenopus Embryonic Cells: Generation, Culture and High-Resolution Live Imaging

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Single-cell morphodynamics predict cell fate decisions during mucociliary epithelial differentiation.

Mari Tolonen1,2, Ziwei Xu1,2, Ozgur Beker3,4

  • 1The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), University of Copenhagen, Copenhagen, Denmark.

Biorxiv : the Preprint Server for Biology
|November 24, 2025
PubMed
Summary

Tracking cell shape and position over time accurately predicts cell fate in developing epithelia. This morphodynamic approach offers a new way to understand cell differentiation beyond gene expression alone.

Keywords:
Cell fateCell stateMorphodynamicsMucociliary epitheliumPhenomicsXenopus

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Area of Science:

  • Developmental Biology
  • Cell Biology
  • Biophysics

Background:

  • Cell state transitions, crucial for development, are traditionally studied via gene expression.
  • Cellular morphology and behavior shifts during differentiation are less understood, especially in packed epithelial tissues.

Purpose of the Study:

  • To develop a quantitative framework for analyzing cell morphodynamics during differentiation.
  • To investigate if time-resolved morphological features can predict final cell fate in Xenopus mucociliary epithelium (MCE).

Main Methods:

  • Utilized live imaging to track thousands of individual cells in differentiating MCE.
  • Extracted dynamic features (shape, position, movement) to create a time-resolved morphodynamic dataset.
  • Applied supervised machine learning (gradient-boosted trees, logistic regression) to predict cell fate.

Main Results:

  • Integrated time-resolved morphodynamic features robustly predicted final cell type.
  • Normalized Z-position, membrane-nucleus offset, and time were key predictive features.
  • Cellular movement contributed minimally to fate prediction accuracy.

Conclusions:

  • Morphodynamic signatures contain predictive information about cell identity.
  • This study provides a framework linking physical cell dynamics to molecular state during differentiation.
  • The findings offer new insights into cell fate determination in complex epithelial tissues.