Quantification of cell viability and rapid screening anti-cancer drug utilizing nanomechanical fluctuation

活力测定 癌细胞 癌症 紫杉醇 纳米技术 药品 癌细胞系 细胞 化学 材料科学 生物物理学 药理学 生物 医学 生物化学 内科学
作者
Shangquan Wu,Xiaoli Liu,Xiarong Zhou,Xin Liang,Dayong Gao,Hong Liu,Gang Zhao,Qingchuan Zhang,Xiaoping Wu
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:77: 164-173 被引量:65
标识
DOI:10.1016/j.bios.2015.09.024
摘要

Cancer is a serious threat to human health. Although numerous anti-cancer drugs are available clinically, many have shown toxic side effects due to poor tumor-selectivity, and reduced effectiveness due to cancers rapid development of resistance to treatment. The development of new highly efficient and practical methods to quantify cell viability and its change under drug treatment is thus of significant importance in both understanding of anti-cancer mechanism and anti-cancer drug screening. Here, we present an approach of utilizing a nanomechanical fluctuation based highly sensitive microcantilever sensor, which is capable of characterizing the viability of cells and quantitatively screening (within tens of minutes) their responses to a drug with the obvious advantages of a rapid, label-free, quantitative, noninvasive, real-time and in-situ assay. The microcantilever sensor operated in fluctuation mode was used in evaluating the paclitaxel effectiveness on breast cancer cell line MCF-7. This study demonstrated that the nanomechanical fluctuations of the microcantilever sensor are sensitive enough to detect the dynamic variation in cellular force which is provided by the cytoskeleton, using cell metabolism as its energy source, and the dynamic instability of microtubules plays an important role in the generation of the force. We propose that cell viability consists of two parts: biological viability and mechanical viability. Our experimental results suggest that paclitaxel has little effect on biological viability, but has a significant effect on mechanical viability. This new method provides a new concept and strategy for the evaluation of cell viability and the screening of anti-cancer drugs.
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