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Cell sorting by active forces in a phase-field model of cell monolayers.
James N Graham1, Guanming Zhang2,3, Julia M Yeomans1
1Rudolf Peierls Centre for Theoretical Physics, Parks Road, University of Oxford, Oxford, OX1 3PU, UK. james.graham@physics.ox.ac.uk.
Active cell sorting drives pattern formation in biological development. This study reveals how differing cell activities lead to rapid segregation and patch formation, independent of thermodynamic principles.
Area of Science:
- * Biophysics
- * Developmental Biology
- * Cell Biology
Background:
- * Cell sorting is crucial for embryonic development, organizing cells into distinct tissues.
- * Cellular activity, such as extensile or contractile forces, influences cell behavior and tissue organization.
- * Understanding the mechanisms driving cell sorting is key to deciphering developmental processes.
Purpose of the Study:
- * To investigate the role of cellular activity in driving cell sorting within a confluent cell layer.
- * To model the segregation dynamics of cells with differing extensile or contractile dipolar activity.
- * To determine if cellular activity alone can induce sorting without thermodynamic driving forces.
Main Methods:
- * Employed a phase-field model to simulate a confluent layer of cells.
- * Introduced mixtures of cells with distinct extensile and contractile dipolar activities.
- * Analyzed the resulting segregation patterns and their temporal evolution.
Main Results:
- * Mixtures of cells with differing activities rapidly sorted into small, elongated patches.
- * These sorted patches exhibited slow growth over time.
- * The observed sorting was attributed to differential diffusivity between active cell types.
- * Free energy remained unchanged during sorting, indicating a non-thermodynamic driving force.
Conclusions:
- * Cellular activity, specifically differential dipolar activity, is a significant driver of cell sorting.
- * This active sorting mechanism can operate independently of traditional thermodynamic driving forces.
- * The findings provide insights into pattern formation during biological development, such as embryogenesis.
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