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Quantifying Heterogeneity According to Deformation of the U937 Monocytes and U937-Differentiated Macrophages Using 3D Carbon Dielectrophoresis in Microfluidics

机译:定量异质性根据U937单核细胞和U937分化的巨噬细胞的变形使用微流控技术中的3D碳介电电泳

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摘要

A variety of force fields have thus far been demonstrated to investigate electromechanical properties of cells in a microfluidic platform which, however, are mostly based on fluid shear stress and may potentially cause irreversible cell damage. This work presents dielectric movement and deformation measurements of U937 monocytes and U937-differentiated macrophages in a low conductive medium inside a 3D carbon electrode array. Here, monocytes exhibited a crossover frequency around 150 kHz and presented maximum deformation index at 400 kHz and minimum deformation index at 1 MHz frequencies at 20 V . Although macrophages were differentiated from monocytes, their crossover frequency was lower than 50 kHz at 10 V . The change of the deformation index for macrophages was more constant and lower than the monocyte cells. Both dielectric mobility and deformation spectra revealed significant differences between the dielectric responses of U937 monocytes and U937-differentiated macrophages, which share the same origin. This method can be used for label-free, specific, and sensitive single-cell characterization. Besides, damage of the cells by aggressive shear forces can, hence, be eliminated and cells can be used for downstream analysis. Our results showed that dielectric mobility and deformation have a great potential as an electromechanical biomarker to reliably characterize and distinguish differentiated cell populations from their progenitors.
机译:迄今为止,已经证明了多种力场来研究微流体平台中细胞的机电性能,然而,这些力场主要基于流体剪切应力,并且可能潜在地导致不可逆的细胞损伤。这项工作介绍了3D碳电极阵列内部低导电介质中U937单核细胞和U937分化的巨噬细胞的介电运动和变形测量。在这里,单核细胞在150 kHz处表现出交叉频率,在20 V时表现出400 kHz时的最大变形指数和1 MHz频率下的最小变形指数。尽管巨噬细胞与单核细胞有所区别,但它们的交叉频率在10 V时低于50 kHz。巨噬细胞的变形指数的变化比单核细胞更恒定且更低。介电迁移率和形变谱均显示U937单核细胞和U937分化的巨噬细胞的介电响应之间存在显着差异,它们共享相同的起源。此方法可用于无标签,特异性和敏感的单细胞表征。此外,因此,可以消除由于剧烈剪切力引起的细胞损伤,并且可以将细胞用于下游分析。我们的结果表明,介电迁移率和变形作为机电生物标记物具有巨大潜力,可以可靠地表征和区分分化的细胞群与其祖细胞。

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