利用一种新的化学衍生化方法,通过毛细管电泳-质谱法分析少量哺乳动物细胞中的酸性代谢物

IF 3 Q2 CHEMISTRY, ANALYTICAL
Marlien van Mever, Cornelius C. W. Willacey, Wei Zhang, Nicolas Drouin, Alphert E. Christina, Peter W. Lindenburg, Jaco P. D. van Veldhoven, Daan van der Es, Amy C. Harms, Thomas Hankemeier, Rawi Ramautar
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引用次数: 4

摘要

使用毛细管电泳-质谱(CE-MS)同时分析大范围的极性离子生成代谢物可能具有挑战性,因为通常需要两种不同的分析方法,即一种用于阳离子,一种用于阴离子。尽管CE-MS已被证明是一种有效的阳离子代谢物分析方法,但对少量阴离子代谢物的分析往往导致相对较低的灵敏度和较差的可重复性。在这项工作中,开发了一种基于三甲基甲烷氨基乙酰基溴的新型衍生化策略,使CE- ms能够使用正常CE极性(即阴极在出口)和正离子模式下的质谱检测来分析羧酸代谢物。采用响应面法对衍生化条件进行优化,优化后的方法(孵育时间50 min,温度90℃,pH 10)用于HepG2细胞提取物中羧酸代谢物的分析。对于选定的代谢物,检测限降至8.2 nM,峰面积重复(n = 3)的日内相对标准偏差值低于21.5%。与糖酵解、三羧酸循环和厌氧呼吸途径相关的代谢物在250,000个细胞裂解物中被量化,并且仍然可以在仅25,000个HepG2细胞裂解物(注射约70个细胞裂解物)的提取物中检测到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Profiling acidic metabolites by capillary electrophoresis-mass spectrometry in low numbers of mammalian cells using a novel chemical derivatization approach

Profiling acidic metabolites by capillary electrophoresis-mass spectrometry in low numbers of mammalian cells using a novel chemical derivatization approach

The simultaneous analysis of a broad range of polar ionogenic metabolites using capillary electrophoresis-mass spectrometry (CE-MS) can be challenging, as two different analytical methods are often required, that is, one for cations and one for anions. Even though CE-MS has shown to be an effective method for cationic metabolite profiling, the analysis of small anionic metabolites often results in relatively low sensitivity and poor repeatability. In this work, a novel derivatization strategy based on trimethylmethaneaminophenacetyl bromide was developed to enable CE-MS analysis of carboxylic acid metabolites using normal CE polarity (i.e., cathode in the outlet) and detection by mass spectrometry in positive ionization mode. Optimization of derivatization conditions was performed using a response surface methodology after which the optimized method (incubation time 50 min, temperature 90°C, and pH 10) was used for the analysis of carboxylic acid metabolites in extracts from HepG2 cells. For selected metabolites, detection limits were down to 8.2 nM, and intraday relative standard deviation values for replicates (n = 3) for peak areas were below 21.5%. Metabolites related to glycolysis, tricarboxylic acid cycle, and anaerobic respiration pathways were quantified in 250,000 cell lysates, and could still be detected in extracts from only 25,000 HepG2 cell lysates (∼70 cell lysates injected).

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