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Evaluation of Sample Preparation Methods for Inter-Laboratory Metabolomics Investigation of Streptomyces lividans TK24

机译:评价样品制备方法对实验室间质代谢组科的调查,Lividans TK24

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In the past two decades, metabolomics has proved to be a valuable tool with many potential applications in different areas of science. However, there are still some challenges that need to be addressed, particularly for multicenter studies. These challenges are mainly attributed to various sources of fluctuation and unwanted variations that can be introduced at pre-analytical, analytical, and/or post-analytical steps of any metabolomics experiment. Thus, this study aimed at using Streptomyces lividans TK24 as the model organism in a cross-laboratory experiment in Manchester and Leuven to evaluate the reproducibility of a standard sample preparation method, and determine the optimal sample format (cell extract or quenched biomass) required to preserve the metabolic profile of the cells during cross-lab sample transportation and storage. Principal component analysis (PCA) scores plot of the gas chromatography-mass spectrometry (GC-MS) data from both laboratories displayed clear growth-dependent clustering patterns which was in agreement with the Procrustes analysis findings. In addition, the data generated in Manchester displayed tight clustering of cell pellets (quenched biomass) and metabolite extracts, confirming the stability of both sample formats during the transportation and storage period.
机译:在过去二十年中,代谢组学被证明是一个有价值的工具,具有不同科学领域的许多潜在应用。然而,对于多中心研究,仍有一些挑战需要解决。这些挑战主要归因于各种波动和/或任何代谢组实验的预分析,分析和/或分析步骤中可以引入的各种波动和不需要变化的源。因此,本研究旨在使用Streptomyces Lividans TK24作为曼彻斯特和鲁汶跨实验室实验中的模型生物,以评估标准样品制备方法的再现性,并确定所需的最佳样品格式(细胞提取物或淬火生物质)在交叉实验室样品运输和储存期间保持细胞的代谢谱。来自两个实验室的气相色谱 - 质谱(GC-MS)数据的主成分分析(PCA)分数显示出明显的生长依赖性聚类模式,这与促进的分析结果一致。此外,在曼彻斯特产生的数据显示细胞粒料(猝灭生物质)和代谢物提取物的紧密聚类,确认在运输和储存期间两种样品格式的稳定性。

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