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一种使用优化的流式细胞仪进行细胞水平药物剂量反应测试的无标记方法。

A Label-Free Approach for Cell-Level Drug Dosage Response Tests With an Optimized Flow Cytometry Device.

作者信息

Li Junwei, Wang Huan, Yang Wenjie, An Hailong, Li Shanshan

机构信息

Institute of Biophysics, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China.

Hebei Key Laboratory of Smart Sensing and Human-Robot Interactions, School of Mechanical Engineering, Hebei University of Technology, Tianjin, China.

出版信息

Electrophoresis. 2025 Jun;46(11-12):732-742. doi: 10.1002/elps.8144. Epub 2025 Apr 18.

DOI:10.1002/elps.8144
PMID:40249541
Abstract

Cancer is among the most significant health threats to humanity. As a critical front-line treatment in the early stages of the disease, chemotherapy drugs provide positive effects on more than one disease. Traditional analytical methods for screening these drugs are often marred by the need for intricate sample preparation and reliance on costly equipment or reagents. In this study, we profiled the biophysical properties of cancer cells (MCF-7) as they traversed a detection region using a high-throughput seven-electrode double-differential biochip. To ensure precise and reliable cell status assessment, we optimized both the electrode dimensions within the assay system and the buffer's conductivities. Our findings indicated that an electrode configuration of E:F:G = 2:5:1 (E, F, and G stand for exciting/floating/gap, respectively), coupled with a conductivity setting of 1.6 S/m, was optimal for probing the electrical properties of breast cancer cells (MCF-7). Utilizing this refined system, we achieved a live-dead cell differentiation accuracy of approximately 94.25%. Moreover, MCF-7 cells displayed distinct impedance signatures in response to varying drug concentrations. Changes in impedance signal characteristics, such as opacity and phase, stand for the physiological shifts within the cells under drug exposure. This research is of considerable importance, offering a novel and efficient methodology for drug dosage response testing. It paves the way for more precise and personalized cancer treatment strategies, potentially enhancing patient outcomes and quality of life.

摘要

癌症是对人类最重要的健康威胁之一。作为疾病早期的关键一线治疗方法,化疗药物对多种疾病都有积极作用。传统的筛选这些药物的分析方法往往因需要复杂的样品制备以及依赖昂贵的设备或试剂而存在缺陷。在本研究中,我们使用高通量七电极双差分生物芯片对癌细胞(MCF-7)穿过检测区域时的生物物理特性进行了分析。为确保精确可靠的细胞状态评估,我们对检测系统内的电极尺寸和缓冲液的电导率进行了优化。我们的研究结果表明,电极配置为E:F:G = 2:5:1(E、F和G分别代表激励/浮动/间隙),结合1.6 S/m的电导率设置,最适合探测乳腺癌细胞(MCF-7)的电学特性。利用这个优化后的系统,我们实现了约94.25%的活死细胞区分准确率。此外,MCF-7细胞对不同药物浓度呈现出不同的阻抗特征。阻抗信号特征的变化,如不透明度和相位,代表了药物暴露下细胞内的生理变化。这项研究具有相当重要的意义,为药物剂量反应测试提供了一种新颖且高效的方法。它为更精确和个性化的癌症治疗策略铺平了道路,有可能提高患者的治疗效果和生活质量。

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