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A model for cell population size control using asymmetric division.

Mani Hamidi1, Eldon Emberly

  • 1Physics Department, Simon Fraser University, Burnaby, British Columbia, Canada.

Plos One
|September 17, 2013
PubMed
Summary
This summary is machine-generated.

This study presents a minimal model for tissue growth, demonstrating how asymmetric cell division and regulator dilution can achieve any final cell number. Certain population sizes are more robust to division noise, maintaining stability even with perturbations.

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Area of Science:

  • Developmental biology
  • Cellular dynamics
  • Mathematical modeling

Background:

  • Multicellular organisms exhibit tissue growth that terminates at a fixed cell number.
  • Asymmetric cell division is crucial for differentiation, distributing fate determinants unequally.
  • Cell cycle regulators can intrinsically time proliferation in developing tissues.

Purpose of the Study:

  • To present a minimal model for tissue growth.
  • To explore how asymmetric division and regulator dilution influence final cell population size.
  • To investigate the impact of noise and perturbations on growth fidelity.

Main Methods:

  • Developed a minimal mathematical model.
  • Incorporated asymmetric cell division and cell-cycle regulator dilution.
  • Introduced and analyzed noise and perturbations in the division process.

Main Results:

  • The model can generate any required final cell population size.
  • Diverse growth mechanisms (linear to non-linear) can yield the same final cell count.
  • Specific final cell population sizes exhibit higher robustness to division noise.
  • Perturbations can stabilize these robust populations, sometimes improving fidelity.

Conclusions:

  • Asymmetric division and regulator dilution provide a flexible mechanism for controlling final tissue size.
  • Noise in cell division can lead to population size selection, favoring robust outcomes.
  • The model offers insights into the stability and fidelity of developmental processes under varying conditions.