Yang Wen-Chu, Sedlak Miroslav, Regnier Fred E, Mosier Nathan, Ho Nancy, Adamec Jiri
Bindley Bioscience Center, Purdue University, West Lafayette, Indiana 47907, USA.
Anal Chem. 2008 Dec 15;80(24):9508-16. doi: 10.1021/ac801693c.
Comprehensive analysis of intracellular metabolites is a critical component of elucidating cellular processes. Although the resolution and flexibility of reversed-phase liquid chromatography-mass spectrometry (RPLC-MS) makes it one of the most powerful analytical tools for metabolite analysis, the structural diversity of even the simplest metabolome provides a formidable analytical challenge. Here we describe a robust RPLC-MS method for identification and quantification of a diverse group of metabolites ranging from sugars, phosphosugars, and carboxylic acids to phosphocarboxylics acids, nucleotides, and coenzymes. This method is based on in vitro derivatization with a (13)C-labeled tag that allows internal standard based quantification and enables separation of structural isomer pairs like glucose 6-phosphate and fructose 6-phosphate in a single chromatographic run. Calibration curves for individual metabolites showed linearity ranging over more than 2 orders of magnitude with correlation coefficients of R(2) > 0.9975. The detection limits at a signal-to-noise ratio of 3 were below 1.0 microM (20 pmol) for most compounds. Thirty common metabolites involved in glycolysis, the pentose phosphate pathway, and tricarboxylic acid cycle were identified and quantified from yeast lysate with a relative standard deviation of less than 10%.
细胞内代谢物的综合分析是阐明细胞过程的关键组成部分。尽管反相液相色谱 - 质谱联用技术(RPLC-MS)的分辨率和灵活性使其成为代谢物分析最强大的分析工具之一,但即使是最简单的代谢组的结构多样性也带来了巨大的分析挑战。在此,我们描述了一种强大的RPLC-MS方法,用于鉴定和定量从糖类、磷酸糖、羧酸到磷酸羧酸、核苷酸和辅酶等多种代谢物。该方法基于用(13)C标记的标签进行体外衍生化,允许基于内标的定量,并能在一次色谱运行中分离结构异构体对,如6-磷酸葡萄糖和6-磷酸果糖。单个代谢物的校准曲线显示线性范围超过2个数量级,相关系数R(2)> 0.9975。对于大多数化合物,信噪比为3时的检测限低于1.0微摩尔(20皮摩尔)。从酵母裂解物中鉴定并定量了参与糖酵解、磷酸戊糖途径和三羧酸循环的30种常见代谢物,相对标准偏差小于10%。