Department of Chemistry and Biochemistry, Santa Clara University, Santa Clara, CA 95053, USA.
Lab Chip. 2019 Apr 9;19(8):1344-1351. doi: 10.1039/c8lc01328d.
Selection of live cells from a population is critical in many biological studies and biotechnologies. We present here a novel droplet microfluidic approach that allows for label-free and passive selection of live cells using the glycolytic activity of individual cells. It was observed that with the use of a specific surfactant utilized to stabilize droplet formation, the interfacial tension of droplets was very sensitive to pH. After incubation, cellular lactate release results in droplets containing a live cell to attain a lower pH than other droplets. This enables the sorting of droplets containing live cells when confined droplets flow over a microfabricated trench oriented diagonally with respect to the direction of flow. The technique is demonstrated with human U87 glioblastoma cells for the selection of only droplets containing a live cell while excluding either empty droplets or droplets containing a dead cell. This label-free sorting method, dubbed sorting by interfacial tension (SIFT) presents a new strategy to sort diverse cell types based on metabolic activity.
从群体中选择活细胞在许多生物学研究和生物技术中至关重要。我们在这里介绍一种新颖的液滴微流控方法,该方法可使用单个细胞的糖酵解活性来实现无标记和被动选择活细胞。我们观察到,使用特定的表面活性剂来稳定液滴的形成,液滴的界面张力对 pH 值非常敏感。孵育后,细胞乳酸的释放导致含有活细胞的液滴的 pH 值低于其他液滴。这使得当受限液滴流过与流动方向成对角线方向的微加工沟槽时,可以对含有活细胞的液滴进行分类。该技术用人 U87 神经胶质瘤细胞进行了演示,用于仅选择含有活细胞的液滴,同时排除空液滴或含有死细胞的液滴。这种无标记的分选方法称为基于界面张力的分选(SIFT),为基于代谢活性对不同类型的细胞进行分选提供了一种新策略。