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Functional Evaluation of Anticancer Drugs in Human Leukemia Cells Based on Metabolic Profiling Technique

机译:基于代谢分析技术的人白血病细胞抗癌药物的功能评价

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To date, mass spectrometry (MS) coupled with pre-separation technique such as liquid chromatography (LC-MS) or gas chromatography (GC-MS) has been known to be a conventional strategy for metabolomics, but these methods have several disadvantages for pharmaceutical metabolomics. First, sample preparation of such methods includes complicated steps such as sample extraction, derivatization, desalting, and/or concentration before further MS analysis. Second, large sample volume is required because of lower sensitivity. Third, albeit with new LC developments such as ultra-performance liquid chromatography (UPLC), total LC analysis time is still on the order of several minutes. Although GC coupled with time-of-flight MS had been developed to take shortertime than conventional GC-quadrupole-MS because of the ability to deconvolute co-eluted peaks easily, analysis time of GC is almost the same as that of UPLC. There is another problem that thwarts the development of MS-based metabolomics techniques. The appearance of adduct ions containing sodium or potassium ion, especially in positive ion mode, makes metabolomic data more complicated. Resolving of these issues is indispensable for highly sensitive and high-throughput analysis in pharmaceutical metabolomics research area because thousands of samples should be analyzed in the first large scale screening. Thus, 9-aminoacridine (9-AA) was utilized in the present study to develop MS mearsurement with negative ionization mode. In contrast to the methods mentioned above, direct MS analysis, especially, matrix-assisted laser des-orption ionization (MALDI)-MS has advantages for metabolite analysis because it is a highly sensitive, high-throughput, and low sample-consuming (within 1 mu L) technique compared tothe other conventional analytical platforms based on LC-, GC-or CE-MS. In addition, MALDI has recently been reported to be suitable not only for high-molecular-weight polymers or peptides but for low-molecular-weight
机译:迄今为止,已知与诸如液相色谱(LC-MS)或气相色谱(GC-MS)的预分离技术偶联的质谱(MS)是代谢组科的常规策略,但这些方法具有若干药物的缺点代谢组学。首先,这些方法的样品制备包括在进一步MS分析之前的复杂步骤,例如样品萃取,衍生化,脱盐和/或浓度。其次,由于灵敏度较低,需要大量样品体积。第三,尽管具有超高性能液相色谱(UPLC)的新型LC开发,但总LC分析时间仍花费几分钟的顺序。虽然GC与飞行时间MS相结合,但由于能够容易地解构共同洗脱峰的能力而不是传统的GC-QCADRupole-MS的速度,但GC的分析时间与UPLC的分析时间几乎相同。有另一个问题,挫败了基于MS的代谢组技术的发展。含有钠或钾离子的加合离子的外观,尤其是阳性离子模式,使代购数据更加复杂。解决这些问题对于药物代谢组科研究领域的高敏感和高通量分析是必不可少的,因为应该在第一个大规模筛选中分析成千上万的样品。因此,在本研究中使用了9-氨基丙氨酸(9-AA)以利用负电离模式开发MS Mearsurement。与上述方法相比,直接MS分析,特别是基质辅助激光DES-穿电离(MALDI)-MS具有代谢物分析的优点,因为它是一种高度敏感,高通量和低的样品(内部) 1 mu l)技术比较了基于LC-,GC或CE-MS的其他传统分析平台的方法。此外,最近据报道,MALDI不仅适用于高分子量聚合物或肽,而且适用于低分子量

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