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Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix

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Modeling cell proliferation for simulating three-dimensional tissue morphogenesis based on a reversible network

Satoru Okuda¹, Yasuhiro Inoue, Mototsugu Eiraku

¹Department of Biomechanics, Institute for Frontier Medical Sciences, Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.

Biomechanics and Modeling in Mechanobiology

|December 1, 2012

Summary

This summary is machine-generated.

This study models cell proliferation within a reversible network reconnection (RNR) framework, simulating tissue morphogenesis. The model accurately captures cell division and growth, influencing tissue size and shape.

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Area of Science:

Computational Biology
Developmental Biology
Biophysics

Background:

Tissue morphogenesis relies on cell proliferation, including cell division and growth.
Multicellular dynamics regulate these behaviors to achieve proper tissue size and shape in 3D.
The reversible network reconnection (RNR) model represents cell shapes as polyhedra for analyzing multicellular dynamics.

Purpose of the Study:

To extend the RNR model to simulate tissue morphogenesis incorporating proliferative cell behaviors.
To model cell division and growth within the RNR framework.

Main Methods:

Cell division modeled by polyhedron division via a planar surface, defined by timing, position, and orientation.
Cell growth modeled as volume increase based on individual cell cycle time.
Numerical simulations performed using the proposed RNR model framework.

Main Results:

Simulations demonstrated tissue growth through successive cell divisions over multiple cell cycles.
The model maintained individual cell size and shape while increasing cell number.
Tissue morphology was significantly altered by varying cell division plane orientations.

Conclusions:

The proposed RNR model framework successfully incorporates and expresses proliferative cell behaviors during morphogenesis.
This model provides a basis for simulating and understanding how cell division and growth dynamics shape tissues.