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dc.contributor.authorScianna, M.
dc.contributor.authorBell, C.G.
dc.contributor.authorPreziosi, L.
dc.date.accessioned2016-02-25T12:32:19Z
dc.date.available2016-02-25T12:32:19Z
dc.date.issued2013-09
dc.identifier.citationScianna M, Bell CG, Preziosi L (2013) A review of mathematical models for the formation of vascular networks. Journal of Theoretical Biology 333: 174–209. Available: http://dx.doi.org/10.1016/j.jtbi.2013.04.037.
dc.identifier.issn0022-5193
dc.identifier.pmid23684907
dc.identifier.doi10.1016/j.jtbi.2013.04.037
dc.identifier.urihttp://hdl.handle.net/10754/597395
dc.description.abstractTwo major mechanisms are involved in the formation of blood vasculature: vasculogenesis and angiogenesis. The former term describes the formation of a capillary-like network from either a dispersed or a monolayered population of endothelial cells, reproducible also in vitro by specific experimental assays. The latter term describes the sprouting of new vessels from an existing capillary or post-capillary venule. Similar mechanisms are also involved in the formation of the lymphatic system through a process generally called lymphangiogenesis. A number of mathematical approaches have been used to analyze these phenomena. In this paper, we review the different types of models, with special emphasis on their ability to reproduce different biological systems and to predict measurable quantities which describe the overall processes. Finally, we highlight the advantages specific to each of the different modelling approaches. © 2013 Elsevier Ltd.
dc.description.sponsorshipThis 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).
dc.publisherElsevier BV
dc.subjectAngiogenesis modeling
dc.subjectLymphangiogenesis modeling
dc.subjectVasculogenesis modeling
dc.titleA review of mathematical models for the formation of vascular networks
dc.typeArticle
dc.identifier.journalJournal of Theoretical Biology
dc.contributor.institutionPolitecnico di Torino, Torino, Italy
dc.contributor.institutionUniversity of Oxford, Oxford, United Kingdom
kaust.grant.numberKUK-C1-013-04


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