[en] Perfusion bioreactors regulate flow conditions in order to provide cells with oxygen, nutrients and flow-associated mechanical stimuli. Locally, these flow conditions can vary depending on the scaffold geometry, cellular confluency and amount of extra cellular matrix deposition. In this study, a novel application of the immersed boundary method was introduced in order to represent a detailed deformable cell attached to a 3D scaffold inside a perfusion bioreactor and exposed to microscopic flow. The immersed boundary model permits the prediction of mechanical effects of the local flow conditions on the cell. Incorporating stiffness values measured with atomic force microscopy and micro-flow boundary conditions obtained from computational fluid dynamics simulations on the entire scaffold, we compared cell deformation, cortical tension, normal and shear pressure between different cell shapes and locations. We observed a large effect of the precise cell location on the local shear stress and we predicted flow-induced cortical tensions in the order of 5 pN/mum, at the lower end of the range reported in literature. The proposed method provides an interesting tool to study perfusion bioreactors processes down to the level of the individual cell's micro-environment, which can further aid in the achievement of robust bioprocess control for regenerative medicine applications.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Guyot, Yann
Smeets, Bart
Odenthal, Tim
Subramani, Ramesh
Luyten, Frank P.
Ramon, Herman
Papantoniou, Ioannis
Geris, Liesbet ; Université de Liège > Département d'aérospatiale et mécanique > Génie biomécanique
Language :
English
Title :
Immersed Boundary Models for Quantifying Flow-Induced Mechanical Stimuli on Stem Cells Seeded on 3D Scaffolds in Perfusion Bioreactors.
Publication date :
2016
Journal title :
PLoS Computational Biology
ISSN :
1553-734X
eISSN :
1553-7358
Publisher :
Public Library of Science, San Francisco, United States - California
Volume :
12
Issue :
9
Pages :
e1005108
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
FP7 - 279100 - BRIDGE - Biomimetic process design for tissue regeneration: from bench to bedside via in silico modelling
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
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