Characterization of viscoelastic properties of normal and cancerous human breast cells using a confining microchannel

Research Paper
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Abstract

Biomechanical properties have been revealed as potential biomarkers for distinguishing cancer cells from normal cells. In this work, we report a novel technique using a confining microchannel for biomechanical phenotyping for floating human cells, including one normal breast cell line (MCF-10A) and two breast cancer cell lines (MCF-7 and MDA-MB-231). The floating cells move under a defined pressure profile along the microchannel, in which the cells deform dynamically under compression by the channel sidewalls. We adopt the Hertz and Tatara model to convert deformed cell shapes to cell diameters and transient stress–strain ratios. By further considering cell viscoelasticity as a standard linear solid model, we compute for whole-cell viscosity, and instantaneous and relaxed moduli. Our results show that the selected cell types have significant different viscoelastic properties. We further implement cell-type classification based on the multiple parametric biomechanical cell properties with reasonable sensitivities (>65%). Applications of the confining microchannel can be further extended for high-throughput, continuous-flow deep phenotyping of rare cells by surface functionalization for both biomechanical and biochemical biomarkers for more comprehensive and promising cell characterization.

Keywords

Microfluidic Cancer Viscoelasticity Viscosity Elasticity 

Notes

Acknowledgements

We acknowledge financial supports from the National Natural Science Foundation of China (NSFC 31500758), General Research Grant (Project #11206014) and Collaborative Research Fund (Project #C1013-15GF) of Hong Kong Research Grant Council, and the City University of Hong Kong (SRG-Fd 7004540).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Department of Mechanical and Biomedical EngineeringCity University of Hong KongKowloon TongHong Kong
  2. 2.Centre for Robotics and AutomationCity University of Hong KongKowloon TongHong Kong
  3. 3.Centre for Biosystems, Neuroscience, and NanotechnologyCity University of Hong KongKowloon TongHong Kong
  4. 4.City University of Hong Kong Shenzhen Research InstituteShenzhenChina

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