Simultaneous Quantification of Metabolites Involved in Central Carbon and Energy Metabolism Using Reversed-Phase Liquid Chromatography−Mass Spectrometry and in Vitro 13C Labeling

化学 色谱法 衍生化 质谱法 代谢物 代谢组 反相色谱法 磷酸戊糖途径 生物化学 代谢组学 高效液相色谱法 新陈代谢 糖酵解
作者
Wen-Chu Yang,Miroslav Sedlák,Fred E. Regnier,Nathan S. Mosier,Nancy W. Y. Ho,Jiří Adamec
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:80 (24): 9508-9516 被引量:75
标识
DOI:10.1021/ac801693c
摘要

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%.
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