State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
Department of Hematology, Liaoning Cancer Hospital, Shenyang 110042, China.
J Mech Behav Biomed Mater. 2018 Jun;82:193-201. doi: 10.1016/j.jmbbm.2018.03.036. Epub 2018 Mar 27.
Cell mechanics plays an important role in regulating the physiological activities of cells. The advent of atomic force microscopy (AFM) provides a novel powerful instrument for quantifying the mechanics of single cells at the nanoscale. The applications of AFM in single-cell mechanical assays in the past decade have significantly contributed to the field of cell and molecular biology. However, current AFM-based cellular mechanical studies are commonly carried out with fixed measurement parameters, which provides limited information about the dynamic cellular mechanical behaviors in response to the variable external stimuli. In this work, we utilized AFM to investigate cellular viscoelasticity (portrayed as relaxation time) with varying measurement parameters, including ramp rate and surface dwell time, on both cell lines and primary cells. The experimental results show that the obtained cellular relaxation times are remarkably dependent on the parameter surface dwell time and ramp rate during measurements. Besides, the dependencies to the measurement parameters are variable for different types of cells, which can be potentially used to indicate cell states. The research improves our understanding of single-cell dynamic rheology and provides a novel idea for discriminating different types of cells by AFM-based cellular viscoelastic assays with varying measurement parameters.
细胞力学在调节细胞的生理活动中起着重要作用。原子力显微镜(AFM)的出现为在纳米尺度上定量测量单细胞力学提供了一种新的强大工具。在过去十年中,AFM 在单细胞力学检测中的应用极大地推动了细胞和分子生物学领域的发展。然而,目前基于 AFM 的细胞力学研究通常采用固定的测量参数进行,这为响应可变外部刺激的动态细胞力学行为提供了有限的信息。在这项工作中,我们利用 AFM 研究了细胞粘弹性(表现为弛豫时间),在细胞系和原代细胞上使用了不同的测量参数,包括斜坡速率和表面停留时间。实验结果表明,所获得的细胞弛豫时间显著依赖于测量过程中的参数表面停留时间和斜坡速率。此外,不同类型的细胞对测量参数的依赖性不同,这可能用于指示细胞状态。该研究提高了我们对单细胞动态流变学的理解,并为通过基于 AFM 的细胞粘弹性测量用变化的测量参数来区分不同类型的细胞提供了一个新的思路。