Department of Bioengineering, University of California, Berkeley, CA 94720, USA.
Lab Chip. 2013 Jan 21;13(2):220-8. doi: 10.1039/c2lc40905d. Epub 2012 Dec 3.
Stem cell therapies hold great promise for repairing tissues damaged due to disease or injury. However, a major obstacle facing this field is the difficulty in identifying cells of a desired phenotype from the heterogeneous population that arises during stem cell differentiation. Conventional fluorescence flow cytometry and magnetic cell purification require exogenous labeling of cell surface markers which can interfere with the performance of the cells of interest. Here, we describe a non-genetic, label-free cell cytometry method based on electrophysiological response to stimulus. As many of the cell types relevant for regenerative medicine are electrically-excitable (e.g. cardiomyocytes, neurons, smooth muscle cells), this technology is well-suited for identifying cells from heterogeneous stem cell progeny without the risk and expense associated with molecular labeling or genetic modification. Our label-free cell cytometer is capable of distinguishing clusters of undifferentiated human induced pluripotent stem cells (iPSC) from iPSC-derived cardiomyocyte (iPSC-CM) clusters. The system utilizes a microfluidic device with integrated electrodes for both electrical stimulation and recording of extracellular field potential (FP) signals from suspended cells in flow. The unique electrode configuration provides excellent rejection of field stimulus artifact while enabling sensitive detection of FPs with a noise floor of 2 μV(rms). Cells are self-aligned to the recording electrodes via hydrodynamic flow focusing. Based on automated analysis of these extracellular signals, the system distinguishes cardiomyocytes from non-cardiomyocytes. This is an entirely new approach to cell cytometry, in which a cell's functionality is assessed rather than its expression profile or physical characteristics.
干细胞疗法在修复因疾病或损伤而受损的组织方面具有巨大的潜力。然而,该领域面临的一个主要障碍是,从干细胞分化过程中产生的异质群体中识别所需表型的细胞具有困难。传统的荧光流式细胞术和磁性细胞纯化需要对细胞表面标记物进行外源性标记,这可能会干扰感兴趣的细胞的性能。在这里,我们描述了一种基于对外源刺激的电生理反应的非遗传、无标记细胞计数方法。由于许多与再生医学相关的细胞类型都是电兴奋的(例如,心肌细胞、神经元、平滑肌细胞),因此这项技术非常适合在不涉及分子标记或遗传修饰的风险和费用的情况下,从异质的干细胞后代中识别细胞。我们的无标记细胞计数器能够区分未分化的人诱导多能干细胞(iPSC)簇和 iPSC 衍生的心肌细胞(iPSC-CM)簇。该系统利用带有集成电极的微流控装置,用于对悬浮在流动中的细胞进行电刺激和记录细胞外场电位(FP)信号。独特的电极配置可极好地抑制场刺激伪影,同时能够以 2 μV(rms)的噪声底限灵敏地检测 FP。细胞通过流体动力流聚焦自对准到记录电极。基于对这些细胞外信号的自动分析,该系统可将心肌细胞与非心肌细胞区分开来。这是一种全新的细胞计数方法,其中评估的是细胞的功能,而不是其表达谱或物理特征。