Literature DB >> 28597224

High-speed broadband monitoring of cell viscoelasticity in real time shows myosin-dependent oscillations.

Bo Yan1, Juan Ren2, Xi Zheng3, Yue Liu3, Qingze Zou4.   

Abstract

Study of the dynamic evolutions of cell viscoelasticity is important as during cell activities such as cell metastasis and invasion, the rheological behaviors of the cells also change dynamically, reflecting the biophysical and biochemical connections between the outer cortex and the intracellular structures. Although the time variations of the static modulus of cells have been investigated, few studies have been reported on the dynamic variations of the frequency-dependent viscoelasticity of cells. Measuring and monitoring such dynamic evolutions of cells at nanoscale can be challenging as the measurement needs to meet two objectives inherently contradictory to each other-the measurement must be broadband (to cover a large frequency spectrum) but also rapid (to capture the time-elapsed changes). In this study, we exploited a recently developed control-based nanomechanical protocol of atomic force microscope to monitor in real time the dynamic evolutions of the viscoelasticity of live human prostate cancer cells (PC-3 cells) and study its dependence on myosin activities. We found that the viscoelasticity of PC-3 cells, followed the power law, and oscillated at a period of about 200 s. Both the amplitude and the frequency of the oscillation strongly depended on the intracellular calcium and blebbistatin-sensitive motor proteins.

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Keywords:  Atomic force microscopy; Broadband nanomechanical measurement; Dynamic oscillation of cell viscoelasticity; Iterative learning control; Rheological properties of cell

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Year:  2017        PMID: 28597224     DOI: 10.1007/s10237-017-0924-4

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  1 in total

Review 1.  Compressive Force Spectroscopy: From Living Cells to Single Proteins.

Authors:  Jiabin Wang; Meijun Liu; Yi Shen; Jielin Sun; Zhifeng Shao; Daniel Mark Czajkowsky
Journal:  Int J Mol Sci       Date:  2018-03-23       Impact factor: 5.923

  1 in total

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