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Models, measurement and inference in epithelial tissue dynamics.

Oliver J Maclaren1, Helen M Byrne, Alexander G Fletcher

  • 1Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radclie Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, United Kingdom

Mathematical Biosciences and Engineering : MBE
|January 19, 2016
PubMed
Summary

This review explores mathematical and computational models of epithelial tissue growth, renewal, and regulation. Future research will focus on validating these models with new experimental data.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Computational Biology

Background:

  • Solid tumors frequently originate in epithelial tissues, necessitating research into their growth, renewal, and regulation.
  • Mathematical and computational modeling are crucial tools for understanding complex biological systems like epithelia.

Purpose of the Study:

  • To review and compare various mathematical and computational approaches used for modeling epithelial tissues.
  • To identify future challenges and opportunities for model validation using emerging experimental data.

Main Methods:

  • Literature review of existing mathematical and computational models of epithelia.
  • Comparative analysis of different modeling strategies and their applications.
  • Discussion of data-driven model development and validation.

Main Results:

  • An overview of diverse modeling techniques applied to epithelial dynamics.
  • Identification of strengths and limitations of current modeling approaches.
  • Highlighting the potential for enhanced model accuracy through new datasets.

Conclusions:

  • Mathematical modeling provides a powerful framework for studying epithelial biology.
  • Integrating advanced computational models with experimental data is key for future progress in understanding tissue regulation and disease.
  • Addressing current challenges will enable precise validation and comparison of epithelial models.