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    Mesoscopic and continuum modelling of angiogenesis

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    Type
    Article
    Authors
    Spill, F.
    Guerrero, P.
    Alarcon, T.
    Maini, P. K.
    Byrne, H. M.
    KAUST Grant Number
    KUK-C1-013-04
    Date
    2014-03-11
    Online Publication Date
    2014-03-11
    Print Publication Date
    2015-02
    Permanent link to this record
    http://hdl.handle.net/10754/598806
    
    Metadata
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    Abstract
    Angiogenesis is the formation of new blood vessels from pre-existing ones in response to chemical signals secreted by, for example, a wound or a tumour. In this paper, we propose a mesoscopic lattice-based model of angiogenesis, in which processes that include proliferation and cell movement are considered as stochastic events. By studying the dependence of the model on the lattice spacing and the number of cells involved, we are able to derive the deterministic continuum limit of our equations and compare it to similar existing models of angiogenesis. We further identify conditions under which the use of continuum models is justified, and others for which stochastic or discrete effects dominate. We also compare different stochastic models for the movement of endothelial tip cells which have the same macroscopic, deterministic behaviour, but lead to markedly different behaviour in terms of production of new vessel cells. © 2014 Springer-Verlag Berlin Heidelberg.
    Citation
    Spill F, Guerrero P, Alarcon T, Maini PK, Byrne HM (2014) Mesoscopic and continuum modelling of angiogenesis. Journal of Mathematical Biology 70: 485–532. Available: http://dx.doi.org/10.1007/s00285-014-0771-1.
    Sponsors
    This publication was based on work supported in part by Award No KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST). TA and PG gratefully acknowledge the Spanish Ministry for Science and Innovation (MICINN) for funding under grant MTM2011-29342 and Generalitat de Catalunya for funding under grant 2009SGR345. PKM was partially supported by the National Cancer Institute, National Institutes of Health grant U54CA143970.
    Publisher
    Springer Nature
    Journal
    Journal of Mathematical Biology
    DOI
    10.1007/s00285-014-0771-1
    PubMed ID
    24615007
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00285-014-0771-1
    Scopus Count
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