Literature DB >> 26775866

Models, measurement and inference in epithelial tissue dynamics.

Oliver J Maclaren1, Helen M Byrne, Alexander G Fletcher, Philip K Maini.   

Abstract

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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Year:  2015        PMID: 26775866     DOI: 10.3934/mbe.2015.12.1321

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  3 in total

1.  Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art.

Authors:  David J Warne; Ruth E Baker; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2019-02-28       Impact factor: 4.118

2.  Collective Chemotaxis through Noisy Multicellular Gradient Sensing.

Authors:  Julien Varennes; Bumsoo Han; Andrew Mugler
Journal:  Biophys J       Date:  2016-08-09       Impact factor: 4.033

3.  A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium.

Authors:  Oliver J Maclaren; Aimée Parker; Carmen Pin; Simon R Carding; Alastair J M Watson; Alexander G Fletcher; Helen M Byrne; Philip K Maini
Journal:  PLoS Comput Biol       Date:  2017-07-28       Impact factor: 4.475

  3 in total

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