研究中心
图书馆学
计算机科学
航空航天
工程物理
政治学
工程类
法学
航空航天工程
作者
Yanxiang Deng,Steven Davis,Fan Yang,Kevin S. Paulsen,Maneesh Kumar,Rebecca Sinnott,Xianhui Wang,Douglas S. Conklin,Assad A. Oberai,Jason I. Herschkowitz,Aram J. Chung
出处
期刊:Small
[Wiley]
日期:2017-05-23
卷期号:13 (28): 1700705-1700705
被引量:79
标识
DOI:10.1002/smll.201700705
摘要
Mechanical biomarkers associated with cytoskeletal structures have been reported as powerful label-free cell state identifiers. In order to measure cell mechanical properties, traditional biophysical (e.g., atomic force microscopy, micropipette aspiration, optical stretchers) and microfluidic approaches were mainly employed; however, they critically suffer from low-throughput, low-sensitivity, and/or time-consuming and labor-intensive processes, not allowing techniques to be practically used for cell biology research applications. Here, a novel inertial microfluidic cell stretcher (iMCS) capable of characterizing large populations of single-cell deformability near real-time is presented. The platform inertially controls cell positions in microchannels and deforms cells upon collision at a T-junction with large strain. The cell elongation motions are recorded, and thousands of cell deformability information is visualized near real-time similar to traditional flow cytometry. With a full automation, the entire cell mechanotyping process runs without any human intervention, realizing a user friendly and robust operation. Through iMCS, distinct cell stiffness changes in breast cancer progression and epithelial mesenchymal transition are reported, and the use of the platform for rapid cancer drug discovery is shown as well. The platform returns large populations of single-cell quantitative mechanical properties (e.g., shear modulus) on-the-fly with high statistical significances, enabling actual usages in clinical and biophysical studies.
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