机械转化
机械生物学
细胞外基质
计算模型
生物信息学
神经科学
生物
计算机科学
纳米技术
细胞生物学
材料科学
模拟
生物化学
基因
作者
Hengameh Shams,Mohammad Soheilypour,Mohaddeseh Peyro,Ruhollah Moussavi-Baygi,Mohammad R. K. Mofrad
出处
期刊:ACS Biomaterials Science & Engineering
[American Chemical Society]
日期:2017-06-01
卷期号:3 (11): 2712-2726
被引量:14
标识
DOI:10.1021/acsbiomaterials.7b00117
摘要
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, in silico 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.
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