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Modeling proliferative tissue growth: a general approach and an avian case study
Benjamin J Binder1, Kerry A Landman, Matthew J Simpson
1Department of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria 3010, Australia.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 15, 2008
Summary
This study presents computational models for tissue growth, simulating cell proliferation in developing avian guts. The models accurately predict tissue development and offer insights into cellular and population-level growth dynamics.
Area of Science:
- Developmental Biology
- Computational Biology
- Biophysics
Background:
- Tissues expand rapidly during development due to cell proliferation.
- Understanding tissue growth dynamics is crucial for developmental biology.
Purpose of the Study:
- To develop and apply continuous and discrete models for one- and two-dimensional tissue growth.
- To analyze the developing avian gut as a case study for tissue expansion and cell proliferation.
Main Methods:
- Developed continuous and discrete (cellular automata) models of tissue growth.
- Applied models to observational data of avian gut development.
- Utilized a nonuniform growth model for predicting biological landmarks.
Main Results:
- Discrete models capture cellular stochasticity and nonuniformity.
- Averaged discrete results align with continuous model predictions at the population level.
- Nonuniform growth model accurately predicts biological landmarks in quail embryo intestines.
Conclusions:
- Dual modeling approach elucidates individual- and population-level growth interactions.
- Discrete models offer a framework for incorporating cell motility and proliferation on expanding tissues.
