TY - JOUR
T1 - A review of mathematical models for the formation of vascular networks
AU - Scianna, M.
AU - Bell, C.G.
AU - Preziosi, L.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUK-C1-013-04
Acknowledgements: 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).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2013/9
Y1 - 2013/9
N2 - Two 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.
AB - Two 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.
UR - http://hdl.handle.net/10754/597395
UR - https://linkinghub.elsevier.com/retrieve/pii/S0022519313002117
UR - http://www.scopus.com/inward/record.url?scp=84880699962&partnerID=8YFLogxK
U2 - 10.1016/j.jtbi.2013.04.037
DO - 10.1016/j.jtbi.2013.04.037
M3 - Article
C2 - 23684907
SN - 0022-5193
VL - 333
SP - 174
EP - 209
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
ER -