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利用液相色谱-串联质谱技术对酿酒酵母进行定量代谢组学研究。

Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry.

机构信息

Department of Biology, Concordia University.

Centre for Biological Applications of Mass Spectrometry, Concordia University.

出版信息

J Vis Exp. 2021 Jan 5(167). doi: 10.3791/62061.

Abstract

Metabolomics is a methodology used for the identification and quantification of many low-molecular-weight intermediates and products of metabolism within a cell, tissue, organ, biological fluid, or organism. Metabolomics traditionally focuses on water-soluble metabolites. The water-soluble metabolome is the final product of a complex cellular network that integrates various genomic, epigenomic, transcriptomic, proteomic, and environmental factors. Hence, the metabolomic analysis directly assesses the outcome of the action for all these factors in a plethora of biological processes within various organisms. One of these organisms is the budding yeast Saccharomyces cerevisiae, a unicellular eukaryote with the fully sequenced genome. Because S. cerevisiae is amenable to comprehensive molecular analyses, it is used as a model for dissecting mechanisms underlying many biological processes within the eukaryotic cell. A versatile analytical method for the robust, sensitive, and accurate quantitative assessment of the water-soluble metabolome would provide the essential methodology for dissecting these mechanisms. Here we present a protocol for the optimized conditions of metabolic activity quenching in and water-soluble metabolite extraction from S. cerevisiae cells. The protocol also describes the use of liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) for the quantitative analysis of the extracted water-soluble metabolites. The LC-MS/MS method of non-targeted metabolomics described here is versatile and robust. It enables the identification and quantification of more than 370 water-soluble metabolites with diverse structural, physical, and chemical properties, including different structural isomers and stereoisomeric forms of these metabolites. These metabolites include various energy carrier molecules, nucleotides, amino acids, monosaccharides, intermediates of glycolysis, and tricarboxylic cycle intermediates. The LC-MS/MS method of non-targeted metabolomics is sensitive and allows the identification and quantitation of some water-soluble metabolites at concentrations as low as 0.05 pmol/µL. The method has been successfully used for assessing water-soluble metabolomes of wild-type and mutant yeast cells cultured under different conditions.

摘要

代谢组学是一种用于鉴定和定量细胞、组织、器官、生物体液或生物体中许多低分子量代谢中间产物和产物的方法。代谢组学传统上侧重于水溶性代谢物。水溶性代谢组是整合各种基因组、表观基因组、转录组、蛋白质组和环境因素的复杂细胞网络的最终产物。因此,代谢组学分析直接评估了这些因素在各种生物体中众多生物学过程中的作用结果。其中一种生物体是芽殖酵母酿酒酵母,这是一种具有全基因组测序的单细胞真核生物。由于酿酒酵母易于进行全面的分子分析,因此它被用作剖析真核细胞中许多生物学过程背后机制的模型。一种用于稳健、灵敏和准确地定量评估水溶性代谢组的多功能分析方法将为剖析这些机制提供必要的方法学。本文介绍了优化酿酒酵母细胞代谢活性猝灭和水溶性代谢物提取条件的方案。该方案还描述了液相色谱-串联质谱联用(LC-MS/MS)在提取的水溶性代谢物定量分析中的应用。这里描述的非靶向代谢组学的 LC-MS/MS 方法具有多功能性和稳健性。它能够鉴定和定量 370 多种具有不同结构、物理和化学性质的水溶性代谢物,包括这些代谢物的不同结构异构体和立体异构体形式。这些代谢物包括各种能量载体分子、核苷酸、氨基酸、单糖、糖酵解中间产物和三羧酸循环中间产物。非靶向代谢组学的 LC-MS/MS 方法具有灵敏性,允许鉴定和定量一些水溶性代谢物,其浓度低至 0.05 pmol/µL。该方法已成功用于评估不同条件下培养的野生型和突变酵母细胞的水溶性代谢组。

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