Review of cellular mechanotransduction on micropost substrates
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- 作者：Yuxu Geng ; Zhanjiang Wang
- 关键词：Cellular mechanotransduction ; Micropost substrates ; Biophysical cues ; Traction force mapping ; Bio ; chemo ; mechanical model
- 刊名：Medical and Biological Engineering and Computing
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：54
- 期：2-3
- 页码：249-271
- 全文大小：2,437 KB
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Zhanjiang Wang (1)
1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400030, China - 刊物类别：Engineering
- 刊物主题：Biomedical Engineering
Human Physiology
Imaging and Radiology
Computer Applications
Neurosciences - 出版者：Springer Berlin / Heidelberg
- ISSN：1741-0444
文摘
As physical entities, living cells can sense and respond to various stimulations within and outside the body through cellular mechanotransduction. Any deviation in cellular mechanotransduction will not only undermine the orchestrated regulation of mechanical responses, but also lead to the breakdown of their physiological function. Therefore, a quantitative study of cellular mechanotransduction needs to be conducted both in experiments and in computational simulations to investigate the underlying mechanisms of cellular mechanotransduction. In this review, we present an overview of the current knowledge and significant progress in cellular mechanotransduction via micropost substrates. In the aspect of experimental studies, we summarize significant experimental progress and place an emphasis on the coupled relationship among cellular spreading, focal adhesion and contractility as well as the influence of substrate properties on force-involved cellular behaviors. In the other aspect of computational investigations, we outline a coupled framework including the biochemically motivated stress fiber model and thermodynamically motivated adhesion model and present their predicted biomechanical responses and then compare predicted simulation results with experimental observations to further explore the mechanisms of cellular mechanotransduction. At last, we discuss the future perspectives both in experimental technologies and in computational models, as well as facing challenges in the area of cellular mechanotransduction.