Putra Vina D L, Song Min Jae, McBride-Gagyi Sarah, Chang Hana, Poole Kate, Whan Renee, Dean David, Sansalone Vittorio, Knothe Tate Melissa L
MechBio Team, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, Australia.
MechBio Team, Departments of Biomedical and Mechanical & Aerospace Engineering, School of Engineering, Case Western Reserve University, Cleveland, OH, United States.
Front Cell Dev Biol. 2020 Jan 17;7:354. doi: 10.3389/fcell.2019.00354. eCollection 2019.
represents the natural progression of knowledge at the intersection of mechanics and biology with the aim to codify the role of mechanical environment on biological adaptation. Compared to the mapping of the human genome, the challenge of mapping the mechanome remains unsolved. Solving this grand challenge will require both top down and bottom up R&D approaches using experimental and computational tools to visualize and measure adaptation as it occurs. Akin to a mechanical test of a smart material that changes its mechanical properties and local environment under load, stem cells adapt their shape, cytoskeletal architecture, intrinsic mechanical properties, as well as their own niche, through cytoskeletal adaptation as well as up- and down-regulation of structural proteins that modulate their mechanical . Recent advances in live cell imaging allow for unprecedented study and measurements of displacements, shape and volume changes in stem cells, reconfiguring of cytoskeletal machinery (nucleus, cytoskeleton), in response to controlled mechanical forces and stresses applied at cellular boundaries. Coupled with multiphysics computational and virtual power theoretical approaches, these novel experimental approaches enable mechanical testing of stem cells, multicellular templates, and tissues inhabited by stem cells, . The novel approach is paving the way to decipher mechanisms of structural and functional adaptation of stem cells in response to controlled mechanical cues. This mini-review outlines integrated approaches and methodologies implemented to date in a series of studies carried out by our consortium. The consortium's body of work is described in context of current roadblocks in the field and innovative, breakthrough solutions and is designed to encourage discourse and cross disciplinary collaboration in the scientific community.
代表了力学与生物学交叉领域知识的自然发展进程,旨在将机械环境对生物适应性的作用进行编纂。与人类基因组图谱绘制相比,机械组图谱绘制的挑战仍未解决。要解决这一重大挑战,需要采用自上而下和自下而上的研发方法,运用实验和计算工具来可视化和测量适应性的发生过程。类似于对智能材料进行机械测试,这种材料在负载下会改变其机械性能和局部环境,干细胞通过细胞骨架适应以及调节其机械性能的结构蛋白的上调和下调,来改变自身形状、细胞骨架结构、固有机械性能以及自身的微环境。活细胞成像技术的最新进展使得对干细胞的位移、形状和体积变化、细胞骨架机制(细胞核、细胞骨架)的重新配置进行前所未有的研究和测量成为可能,这些变化是对施加在细胞边界的受控机械力和应力的响应。结合多物理场计算和虚拟功率理论方法,这些新颖的实验方法能够对干细胞、多细胞模板以及干细胞所占据的组织进行力学测试。这种新颖的方法为解读干细胞在受控机械信号作用下的结构和功能适应机制铺平了道路。本综述概述了我们的研究团队在一系列研究中迄今所采用的综合方法和技术。该研究团队的工作是在该领域当前的障碍以及创新的突破性解决方案的背景下进行描述的,旨在鼓励科学界进行讨论和跨学科合作。