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Continuous Dynamic Modeling of Regulated Cell Adhesion: Sorting, Intercalation, and Involution.

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This study introduces a novel model for cell adhesion dynamics, explaining how gene regulation influences tissue patterns and shapes during development and disease. It reveals mechanisms behind cell sorting and intercalation, crucial for understanding complex biological systems.

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Area of Science:

  • Developmental Biology
  • Systems Biology
  • Biophysics

Background:

  • Cell-cell adhesion is vital for tissue development, embryogenesis, and cancer progression.
  • Understanding the gene regulation of cell adhesion molecules (CAMs) is complex due to nonlinear interactions.
  • Emergent spatial tissue behaviors arise from intricate genetic regulation and feedback loops.

Purpose of the Study:

  • To present a novel model for spatial dynamics of cellular patterning, growth, and shape formation.
  • To elucidate how differential expression and regulation of CAMs drive emergent tissue behaviors.
  • To extend the understanding of cell and tissue dynamics influenced by adhesion molecule regulation.

Main Methods:

  • Developed a continuous model capturing genetic regulation, CAM expression, and differential cell adhesion.
  • Simulated spatial dynamics of cell populations with dynamically changing adhesion properties.
  • Analyzed mechanisms of cell sorting, intercalation, and morphogen-induced cell involution.

Main Results:

  • The model explains classical cell-sorting and cell intercalation behaviors.
  • It demonstrates morphogen-induced involution of germ layer cells during gastrulation.
  • Predictions are made on physical parameters of intercalation and N-cadherin's role in zebrafish gastrulation.

Conclusions:

  • The model integrates emergent spatial tissue behaviors with gene regulation of adhesion.
  • It provides insights into the genetic control of large-scale pattern formation in biology.
  • This approach is applicable to developmental, regenerative, and cancer biology research.