NDLI: Modeling cell interactions under flow

Content Provider	Springer Nature Link
Author	Duperray, Alain Verdier, Claude Couzon, CÃ©cile Singh, Pushpendra
Copyright Year	2008
Abstract	In this review, we summarize the current state of understanding of the processes by which leukocytes, and other cells, such as tumor cells interact with the endothelium under various blood flow conditions. It is shown that the interactions are influenced by cellâ€“cell adhesion properties, shear stresses due to the flow field and can also be modified by the cells microrheological properties. Different adhesion proteins are known to be involved leading to particular mechanisms by which interactions take place during inflammation or metastasis. Cell rolling, spreading, migration are discussed, as well as the effect of flow conditions on these mechanisms, including microfluidic effects. Several mathematical models proposed in recent years capturing the essential features of such interaction mechanisms are reviewed. Finally, we present a recent model in which the adhesion is given by a kinetics theory based model and the cell itself is modeled as a viscoelastic drop. Qualitative agreement is found between the predictions of this model and in vitro experiments.
Ending Page	259
Page Count	25
Starting Page	235
File Format	PDF
ISSN	03036812
e-ISSN	14321416
Journal	Journal of Mathematical Biology
Issue Number	1-2
Volume Number	58
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-02-22
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Adhesion kinetics theory Flow conditions Collision of rigid or pseudo-rigid bodies Mathematical Biology in General Viscoelastic fluids Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) Applications of Mathematics Finite elements, Rayleigh-Ritz and Galerkin methods, finite methods Cell movement (chemotaxis, etc.) Cell rheology
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Agricultural and Biological Sciences Modeling and Simulation

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