Qualitative and Quantitative Analysis of Tumor Cell Metabolism via Stable Isotope Labeling Assisted Microfluidic Chip Electrospray Ionization Mass Spectrometry

被引:114
作者
Chen, Qiushui [1 ]
Wu, Jing [1 ]
Zhang, Yandong [1 ]
Lin, Jin-Ming [1 ]
机构
[1] Tsinghua Univ, Dept Chem, Beijing Key Lab Analyt Methods & Instrumentat, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
QUANTIFICATION; IDENTIFICATION; GENISTEIN;
D O I
10.1021/ac300003k
中图分类号
O65 [分析化学];
学科分类号
070302 [分析化学];
摘要
In this work, a stable isotope labeling assisted microfluidic chip electrospray ionization mass spectrometry (SIL-chip-ESI-MS) platform for qualitative and quantitative analysis of cell metabolism was developed. Microfluidic cell culture, drug-induced cell apoptosis analysis, and cell metabolism measurements were performed simultaneously on the specifically designed device. MCF-7 cells were cultivated in vitro and exposed in anticancer agent (genistein and genistein-d(2)) for cell-based drug assay. A dual-isotopic labeling was presented for effective qualitative analysis of multiplex metabolites. Interestingly, three coeluting pairs of isotopomers appeared with an m/z difference of two. Despite complex biological matrixes, they can be easily recognized and identified by chip-ESI-MS/MS, which significantly facilitates candidate biomarker discovery. The quantitative performance of this system was evaluated using genistein as a model drug by means of stable isotope dilution analysis. The linear equation obtained is y = 0.06x-3.38 x 10(-3) (R-2 = 0.995) at the dynamic range from 0.5 to 40 mu M. The detection limit is 0.2 mu M. The method shows an excellent stability of 2.2% relative standard deviation (RSD) and a good repeatability of 5.5% RSD. Our results have successfully demonstrated the capability of selective and quantitative analysis of cell-based drug absorption and metabolites with high stability, sensitivity, and repeatability on the chip-ESI-MS system. Consequently, the present device shows promise as a high-throughput, low-cost, and online platform for cell metabolism studies and drug screening processes.
引用
收藏
页码:1695 / 1701
页数:7
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