Biomechanics of Collective Cell Migration in Cancer Progression: Experimental and Computational Methods.
Biomechanics of Collective Cell Migration in Cancer Progression: Experimental and Computational Methods.
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癌症进展中集体细胞迁移的生物力学：实验和计算方法
DOI：
10.1021/acsbiomaterials.8b01428
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发表时间：
2019
影响因子：
5.8
通讯作者：
Chen Z
中科院分区：
文献类型：
--
作者：
Spatarelu CP;Zhang H;Trung Nguyen D;Han X;Liu R;Guo Q;Notbohm J;Fan J;Liu L;Chen Z
细胞迁移对于调节生理或病理条件下的许多生物学过程是必不可少的，包括胚胎发育和癌症侵袭。体外和计算机模拟研究表明，集体细胞迁移与一些生物力学特性，如细胞外基质（ECM），应力和力分布曲线，以及细胞骨架的重组重组。因此，可以通过深入研究细胞的行为决定因素来理解这种现象，包括但不限于来自环境和同伴“旅行者”的机械线索。这篇综述文章的目的是涵盖最近发展的实验和计算方法，研究集体细胞迁移的生物力学在癌症的进展和入侵。我们还总结了测试的假设，这些方法使集体细胞迁移的机制。总之，本文对目前可用的方法和工具进行了广泛的概述，以揭示与细胞集体迁移相关的生物物理机制，并为最终破译癌症最致命特征背后的关键机制提供了未来发展的前景。
Cell migration is essential for regulating many biological processes in physiological or pathological conditions, including embryonic development and cancer invasion. In vitro and in silico studies suggest that collective cell migration is associated with some biomechanical particularities such as restructuring of extracellular matrix (ECM), stress and force distribution profiles, and reorganization of the cytoskeleton. Therefore, the phenomenon could be understood by an in-depth study of cells’ behavior determinants, including but not limited to mechanical cues from the environment and from fellow “travelers”. This review article aims to cover the recent development of experimental and computational methods for studying the biomechanics of collective cell migration during cancer progression and invasion. We also summarized the tested hypotheses regarding the mechanism underlying collective cell migration enabled by these methods. Together, the paper enables a broad overview on the methods and tools currently available to unravel the biophysical mechanisms pertinent to cell collective migration as well as providing perspectives on future development toward eventually deciphering the key mechanisms behind the most lethal feature of cancer.
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影响因子：
3.4
作者：
Gamboa Castro M;Leggett SE;Wong IY
通讯作者：
Wong IY
影响因子：
4
作者：
Carey SP;Starchenko A;McGregor AL;Reinhart-King CA
通讯作者：
Reinhart-King CA
影响因子：
64.8
作者：
Barriga EH;Franze K;Charras G;Mayor R
通讯作者：
Mayor R
影响因子：
3.7
作者：
Cheng G;Tse J;Jain RK;Munn LL
通讯作者：
Munn LL
影响因子：
56.9
作者：
Behrndt, Martin;Salbreux, Guillaume;Heisenberg, Carl-Philipp
通讯作者：
Heisenberg, Carl-Philipp