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Quantifying the relationship between cell division angle and morphogenesis through computational modeling.

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  • 1Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA.

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|January 26, 2017
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Summary
This summary is machine-generated.

Cell division orientation, described by probability density functions, influences tissue development. Simulations show angle variability controls tissue anisotropy, impacting morphogenesis at the population level.

Keywords:
MorphogenesisPeridynamiccell division

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Area of Science:

  • Cell Biology
  • Developmental Biology
  • Computational Biology

Background:

  • Cell division orientation can be experimentally described by probability density functions.
  • The influence of these probability density functions on population or tissue-scale morphogenesis remains largely unknown.

Purpose of the Study:

  • To investigate how probability density functions of cell division orientation influence tissue-scale morphogenesis.
  • To explore computational modeling as a method for studying population-level cell behavior.

Main Methods:

  • Utilized a computational approach involving thousands of stochastic simulations.
  • Modeled the growth and division of a population of cells.
  • Examined two probability density functions: wrapped normal and binomial distributions.

Main Results:

  • For the wrapped normal distribution, the standard deviation of cell division angle (biological noise) was found to control tissue-scale anisotropy.
  • For the binomial distribution, a mechanism was demonstrated where division angle probabilities tune the direction and degree of tissue anisotropy.

Conclusions:

  • Computational simulations can effectively model the impact of cell division orientation on tissue morphogenesis.
  • The variability and specific probabilities of cell division angles significantly influence emergent tissue properties like anisotropy.