微流控
单细胞分析
细胞
人口
灵敏度(控制系统)
生物系统
丰度(生态学)
计算机科学
计算生物学
纳米技术
化学
生物
材料科学
电子工程
医学
生物化学
生态学
工程类
环境卫生
作者
Chenxuan Hu,Chunyu Chang,Maolin Zhang,Tao Peng,Siyi Hu,Jiahao Li,Jun Yu,Caizhi Liao,Mude Shi,Arokia Nathan,Luigi G. Occhipinti,Hanbin Ma
出处
期刊:Small
[Wiley]
日期:2025-06-04
卷期号:21 (31): e2504239-e2504239
被引量:2
标识
DOI:10.1002/smll.202504239
摘要
Abstract Studying low‐abundance cells at the single‐cell level is critical for revealing unique biological functions. Efficient single‐cell isolation technology can significantly enhance low‐abundance single‐cell detection sensitivity. However, the lack of individual control over each target cell hinders further bio‐analysis. Here, a “cell‐on‐demand” large‐scale digital microfluidics platform is reported for real‐time low‐abundance single‐cell manipulations. Compared to the conventional strategy that sequentially identifies the target cells among the heterogeneous population, the “cell‐on‐demand” method can conduct targeted‐search‐guided target cell isolation, enabled by on‐demand droplet splitting. The results demonstrate that “cell‐on‐demand” is nearly eightfold more effective compared to the conventional strategy in dealing with low‐abundance (1%) single‐cells. To validate the system's feasibility, heterogenous tumor spheroids samples are used for isolating homogeneous single‐target tumor spheroids, in integration with subsequent drug sensitivity testing and analysis. Drug sensitivity results show significant differences in half‐maximal inhibitory concentration (IC50) for three chemotherapy drugs: Fluorouracil, Irinotecan, and Oxaliplatin, while in high consistency with well‐plate‐based assays. With the capability of processing both high and low‐abundance samples, the proposed platform shows potential in handling various samples and in broader applications.
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