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Applications of DIC in the Mechanics of Collective Cell Migration

机译:DIC在集体细胞迁移力学中的应用

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During wound repair, embryonic development, and cancer invasion, cells migrate in cooperative groups and clusters. Collective migration has been studied for decades, for example with experiments to determine how quickly a sheet of cells migrates to close a wound. Until recently, those experiments have been limited to investigating molecular mechanisms due to a lack of experimental tools to quantify the kinematics and forces. Now that digital image correlation has gained wide acceptance in engineering, physics, and biology, new possibilities exist to reveal quantitative understanding of the connections between signaling, motions, and forces. Here we review applications of digital image correlation in measuring cell velocities, cell-to-substrate tractions, and cell-to-cell stresses. The data show that forces and motions follow no typical constitutive relationship such as that of an elastic solid or a viscous fluid; in many cases even the orientations of force and motion are misaligned. Ongoing research is seeking to connect force and motion, often by modeling the active processes associated with cell signaling. While it remains unclear how to reduce the complicated and numerous signaling pathways into a physical picture of collective cell migration, the experimental tools now available offer a useful place to start.
机译:在伤口修复期间,胚胎发育和癌症侵袭,细胞迁移在合作群体和集群中。已经研究了数十年的集体迁移,例如通过实验来确定一张细胞迁移以关闭伤口的速度。直到最近,这些实验仅限于调查由于缺乏实验工具来量化运动学和力量的分子机制。现在,数字图像相关性在工程,物理和生物学中获得了广泛的认可,存在新的可能性来揭示对信令,运动和力之间的连接的定量理解。在这里,我们在测量细胞速度,细胞对基板阶段和细胞对细胞应力中审查数字图像相关的应用。数据表明,力和动作遵循典型的本构关系,例如弹性固体或粘性流体;在许多情况下,即使是力和运动的方向也是未对准的。正在进行的研究正在寻求通过建模与小区信令相关的活动过程来建立强制和运动。虽然仍然不清楚如何将复杂和众多信令途径降低到集体单元迁移的物理图像中,但实验工具现在可用提供有用的起点。

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