Robustness and timing of cellular differentiation through population-based symmetry breaking
Angel Stanoev1, Christian Schröter1, Aneta Koseska2
1Department of Systemic Cell Biology, Max Planck Institute of Molecular Physiology, 44227 Dortmund, Germany.
Cell differentiation involves cells communicating to form distinct types, not just individual cell differences. This collective behavior in growing cell populations ensures robust cell proportions during development.
Area of Science:
- Developmental Biology
- Systems Biology
- Cellular Dynamics
Background:
- Cell differentiation typically transitions cells from a primed state to specific types, marked by unique genetic markers.
- Classical models explain differentiation via single-cell multistability, relying on pre-existing cell differences for cell-type proportioning.
Purpose of the Study:
- To propose a novel dynamical mechanism for cell differentiation based on collective cell-cell communication.
- To investigate how cell populations collectively maintain differentiated cell types and robust proportions.
Main Methods:
- Modeling cell-cell communication as a novel inhomogeneous state of a coupled system.
- Analyzing the dynamics of differentiation triggered by cell number increase in growing populations.
- Investigating the stability and recovery of differentiated cell types under perturbation.
Main Results:
- Cell types emerge and are maintained collectively through cell-cell communication, forming an inhomogeneous state.
- Differentiation is triggered by population growth and organization before a symmetry-breaking bifurcation.
- The collective mechanism ensures robust cell-type proportioning and reliable recovery post-perturbation.
Conclusions:
- Cell differentiation can emerge from the cooperative behavior of growing cell populations, challenging single-cell multistability models.
- Cell-cell communication is a key driver for generating and maintaining differentiated cell types in robust proportions.
- This collective dynamical mechanism provides a new framework for understanding developmental timing and cell fate decisions.
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