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Related Experiment Video

Updated: May 13, 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

Published on: July 28, 2020

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.

Molecular Systems Biology
|May 11, 2026
PubMed
Summary

Tracking cell shape and position over time using live imaging can predict cell fate in developing tissues. This morphodynamic approach offers insights into cell differentiation beyond gene expression analysis.

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Last Updated: May 13, 2026

Mucociliary Epithelial Organoids from Xenopus Embryonic Cells: Generation, Culture and High-Resolution Live Imaging
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Published on: July 28, 2020

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Area of Science:

  • Developmental biology
  • Cell biology
  • Quantitative imaging

Background:

  • Cell state transitions are fundamental to development and are typically studied via gene expression.
  • Cell morphology and behavior also change during differentiation but are less understood in crowded epithelial tissues.

Purpose of the Study:

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

Main Methods:

  • Utilized live imaging to track thousands of individual cells in differentiating Xenopus MCE.
  • Extracted dynamic features including cell/nuclear shape, movement, and position from cell trajectories.
  • Applied supervised machine learning (gradient-boosted trees, multinomial logistic regression) to predict cell fate.

Main Results:

  • Integrated time-resolved morphodynamic features significantly improved cell fate prediction compared to single features.
  • Normalized Z position, membrane-nucleus offset, and experimental time were key predictors.
  • Cell movement contributed minimally to accurate cell fate prediction.

Conclusions:

  • Morphodynamic signatures contain predictive information about cell identity during differentiation.
  • This framework links dynamic cellular behaviors to molecular states, advancing our understanding of cell fate determination.