Models, measurement and inference in epithelial tissue dynamics

The majority of solid tumours arise in epithelia and therefore much research effort has gone into investigating the growth, renewal and regulation of these tissues. Here we review different mathematical and computational approaches that have been used to model epithelia. We compare different models...

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Main Authors: Oliver J. Maclaren, Helen M. Byrne, Alexander G. Fletcher, Philip K. Maini
Format: Article
Language:English
Published: AIMS Press 2015-07-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.1321
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author Oliver J. Maclaren
Helen M. Byrne
Alexander G. Fletcher
Philip K. Maini
author_facet Oliver J. Maclaren
Helen M. Byrne
Alexander G. Fletcher
Philip K. Maini
author_sort Oliver J. Maclaren
collection DOAJ
description The majority of solid tumours arise in epithelia and therefore much research effort has gone into investigating the growth, renewal and regulation of these tissues. Here we review different mathematical and computational approaches that have been used to model epithelia. We compare different models and describe future challenges that need to be overcome in order to fully exploit new data which present, for the first time, the real possibility for detailed model validation and comparison.
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institution Kabale University
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spelling doaj-art-a6196f2217d24cd3a7f12f26684a612d2025-01-24T02:33:57ZengAIMS PressMathematical Biosciences and Engineering1551-00182015-07-011261321134010.3934/mbe.2015.12.1321Models, measurement and inference in epithelial tissue dynamicsOliver J. Maclaren0Helen M. Byrne1Alexander G. Fletcher2Philip K. Maini3Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radclie Observatory Quarter, Woodstock Road, Oxford, OX2 6GGDepartment of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QDWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radclie Observatory Quarter, Woodstock Road, Oxford, OX2 6GGWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Radclie Observatory Quarter, Woodstock Road, Oxford, OX2 6GGThe majority of solid tumours arise in epithelia and therefore much research effort has gone into investigating the growth, renewal and regulation of these tissues. Here we review different mathematical and computational approaches that have been used to model epithelia. We compare different models and describe future challenges that need to be overcome in order to fully exploit new data which present, for the first time, the real possibility for detailed model validation and comparison.https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.1321cancerinference.individual-based modellingmultiscale modellingepitheliacontinuum modellingcompartmental modelling
spellingShingle Oliver J. Maclaren
Helen M. Byrne
Alexander G. Fletcher
Philip K. Maini
Models, measurement and inference in epithelial tissue dynamics
Mathematical Biosciences and Engineering
cancer
inference.
individual-based modelling
multiscale modelling
epithelia
continuum modelling
compartmental modelling
title Models, measurement and inference in epithelial tissue dynamics
title_full Models, measurement and inference in epithelial tissue dynamics
title_fullStr Models, measurement and inference in epithelial tissue dynamics
title_full_unstemmed Models, measurement and inference in epithelial tissue dynamics
title_short Models, measurement and inference in epithelial tissue dynamics
title_sort models measurement and inference in epithelial tissue dynamics
topic cancer
inference.
individual-based modelling
multiscale modelling
epithelia
continuum modelling
compartmental modelling
url https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.1321
work_keys_str_mv AT oliverjmaclaren modelsmeasurementandinferenceinepithelialtissuedynamics
AT helenmbyrne modelsmeasurementandinferenceinepithelialtissuedynamics
AT alexandergfletcher modelsmeasurementandinferenceinepithelialtissuedynamics
AT philipkmaini modelsmeasurementandinferenceinepithelialtissuedynamics