Mak Michael, Kim Taeyoon, Zaman Muhammad H, Kamm Roger D
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Integr Biol (Camb). 2015 Oct;7(10):1093-108. doi: 10.1039/c5ib00043b. Epub 2015 May 27.
Mechanical signals exist throughout the biological landscape. Across all scales, these signals, in the form of force, stiffness, and deformations, are generated and processed, resulting in an active mechanobiological circuit that controls many fundamental aspects of life, from protein unfolding and cytoskeletal remodeling to collective cell motions. The multiple scales and complex feedback involved present a challenge for fully understanding the nature of this circuit, particularly in development and disease in which it has been implicated. Computational models that accurately predict and are based on experimental data enable a means to integrate basic principles and explore fine details of mechanosensing and mechanotransduction in and across all levels of biological systems. Here we review recent advances in these models along with supporting and emerging experimental findings.
机械信号存在于整个生物环境中。在所有尺度上，这些以力、硬度和变形形式存在的信号被产生和处理，形成一个活跃的机械生物学回路，该回路控制着生命的许多基本方面，从蛋白质解折叠和细胞骨架重塑到细胞集体运动。所涉及的多尺度和复杂反馈对全面理解这个回路的本质提出了挑战，特别是在与之相关的发育和疾病过程中。基于实验数据的准确预测的计算模型提供了一种整合基本原理并探索生物系统各级内部和之间的机械传感和机械转导细节的方法。在这里，我们回顾这些模型的最新进展以及支持性和新出现的实验发现。
