Shams Hengameh, Soheilypour Mohammad, Peyro Mohaddeseh, Moussavi-Baygi Ruhollah, Mofrad Mohammad R K
Molecular Cell Biomechanics Laboratory, Departments of Bioengineering and Mechanical Engineering, University of California, Berkeley, California 94720-1762, United States.
ACS Biomater Sci Eng. 2017 Nov 13;3(11):2712-2726. doi: 10.1021/acsbiomaterials.7b00117. Epub 2017 Jun 29.
Signal modulation has been developed in living cells throughout evolution to promote utilizing the same machinery for multiple cellular functions. Chemical and mechanical modules of signal transmission and transduction are interconnected and necessary for organ development and growth. However, due to the high complexity of the intercommunication of physical intracellular connections with biochemical pathways, there are many missing details in our overall understanding of mechanotransduction processes, i.e., the process by which mechanical signals are converted to biochemical cascades. Cell-matrix adhesions are mechanically coupled to the nucleus through the cytoskeleton. This modulated and tightly integrated network mediates the transmission of mechanochemical signals from the extracellular matrix to the nucleus. Various experimental and computational techniques have been utilized to understand the basic mechanisms of mechanotransduction, yet many aspects have remained elusive. Recently, experiments have made important contributions to the field of mechanobiology. Herein, computational modeling efforts devoted to understanding integrin-mediated mechanotransduction pathways are reviewed, and an outlook is presented for future directions toward using suitable computational approaches and developing novel techniques for addressing important questions in the field of mechanotransduction.
在整个进化过程中,信号调制已在活细胞中得到发展,以促进利用相同的机制实现多种细胞功能。信号传递和转导的化学和机械模块相互关联,是器官发育和生长所必需的。然而,由于物理细胞内连接与生化途径相互通信的高度复杂性,我们对机械转导过程(即机械信号转化为生化级联反应的过程)的整体理解存在许多缺失的细节。细胞与基质的黏附通过细胞骨架与细胞核机械耦合。这个经过调制且紧密整合的网络介导了从细胞外基质到细胞核的机械化学信号传递。各种实验和计算技术已被用于理解机械转导的基本机制,但许多方面仍然难以捉摸。最近,实验对力学生物学领域做出了重要贡献。在此,对致力于理解整合素介导的机械转导途径的计算建模工作进行了综述,并对未来使用合适的计算方法和开发新技术以解决机械转导领域重要问题的方向进行了展望。