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Evaluation of automated sample preparation, retention time locked GC-MS and automated data analysis for the metabolomic study of Arabidopsis species

机译:评估自动化样品制备,保留时间锁定GC-ms和自动数据分析,用于拟南芥物种的代谢组学研究

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摘要

One of the most critical parameters in GC-MS application to metabolimic studies is the sample preparation. Often a combination of oximation and silylation is used and this method is applicable to acids (e.g. fatty acids), sterols, amines, amino acids, sugars, etc. Automation of the derivatisation process enhances repeatability and the time between sample preparation and analysis can be kept short and constant. For analysis, retention time locked (RTL) gas chromatography/mass spectrometry was used. For data analysis, AMDIS deconvolution followed by 2 multivariate statistical approaches were used and compared. Arabidopsis thaliana, a popular model organism in plant biology and genetics, was used for testing. The data analysis software allowed the detection of several features that were up- or downregulated in the different species.
机译:样品制备是GC-MS应用于代谢研究的最关键参数之一。通常将肟化和甲硅烷基化结合使用,该方法适用于酸(例如脂肪酸),固醇,胺,氨基酸,糖等。衍生化过程的自动化提高了可重复性,并且可以缩短样品制备和分析之间的时间。保持简短和恒定。为了进行分析,使用了保留时间锁定(RTL)气相色谱/质谱。对于数据分析,使用了AMDIS反卷积,然后使用2种多元统计方法进行了比较。拟南芥,一种在植物生物学和遗传学中流行的模式生物,被用于测试。数据分析软件可以检测在不同物种中上调或下调的几个特征。

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