Effect of AFM nanoindentation loading rate on the characterization of mechanical properties of vascular endothelial cell
Issue Date
2020-05-31Subjects
Finite element analysis, BEnd.3 cell, Nanoindentation loading rate, atomic force microscopy, Mechanical properties of cellfinite element analysis
BEnd.3 cell
nanoindentation loading rate
atomic force microscopy
mechanical properties of cell
Subject Categories::C510 Applied Microbiology
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Vascular endothelial cells form a barrier that blocks the delivery of drugs entering into brain tissue for central nervous system disease treatment. The mechanical responses of vascular endothelial cells play a key role in the progress of drugs passing through the blood-brain barrier. Although nanoindentation experiment by using AFM (Atomic Force Microscopy) has been widely used to investigate the mechanical properties of cells, the particular mechanism that determines the mechanical response of vascular endothelial cells is still poorly understood. In order to overcome this limitation, nanoindentation experiments were performed at different loading rates during the ramp stage to investigate the loading rate effect on the characterization of the mechanical properties of bEnd.3 cells (mouse brain endothelial cell line). Inverse finite element analysis was implemented to determine the mechanical properties of bEnd.3 cells. The loading rate effect appears to be more significant in short-term peak force than that in long-term force. A higher loading rate results in a larger value of elastic modulus of bEnd.3 cells, while some mechanical parameters show ambiguous regulation to the variation of indentation rate. This study provides new insights into the mechanical responses of vascular endothelial cells, which is important for a deeper understanding of the cell mechanobiological mechanism in the blood-brain barrier.Citation
Wang L, Tian L, Zhang W, Wang Z, Liu X (2020) 'Effect of AFM nanoindentation loading rate on the characterization of mechanical properties of vascular endothelial cell', Micromachines, 11 (6), pp.562-.Publisher
MDPIJournal
MicromachinesAdditional Links
https://www.mdpi.com/2072-666X/11/6/562Type
ArticleLanguage
enISSN
2072-666XEISSN
2072-666Xae974a485f413a2113503eed53cd6c53
10.3390/MI11060562
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