Comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry analysis of metabolites in fermenting and respiring yeast cells
Comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry analysis of metabolites in fermenting and respiring yeast cells
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DOI：
10.1021/ac052106o
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发表时间：
2006-04-15
影响因子：
7.4
通讯作者：
Synovec, RE
中科院分区：
文献类型：
--
作者：
Mohler, RE;Dombek, KM;Synovec, RE
综合二维气相色谱与飞行时间质谱联用快速化学计量学分析，用于鉴定从酵母细胞中分离的代谢物提取物的化学差异，所述酵母细胞通过发酵代谢葡萄糖（抑制（R）细胞）或通过呼吸代谢乙醇（去抑制（DR）细胞）。主成分分析（PCA），然后是平行因子分析（PARAFAC），与LECO ChromaTOF软件一起定位和识别两种类型的细胞提取物之间的组成差异，并提供代谢物浓度的可靠比例。在这份报告中，我们展示了开发的分析方法，以提供相对快速的分析三个选择性的质量通道（m/z 73，205，387），虽然在原则上所有收集的质量通道可以进行分析。鉴定了26种代谢物，它们区分阻遏细胞和去阻遏细胞。代谢物浓度的DR/R比范围为葡萄糖的0.02至海藻糖的67。样品提取物的平均生物变异为31%。该分析证明了使用PCA结合PARAFAC和ChromaTOF软件对极其复杂的样品客观且相对快速地从复杂的三维色谱数据中获得有用信息的实用性和益处。
Comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry coupled with rapid chemometric analysis were used to identify chemical differences in metabolite extracts isolated from yeast cells either metabolizing glucose (repressed (R) cells) via fermentation or metabolizing ethanol by respiration (derepressed (DR) cells). Principal component analysis (PCA) followed by parallel factor analysis (PARAFAC) in concert with the LECO ChromaTOF software located and identified the differences in composition between the two types of cell extracts and provided a reliable ratio of the metabolite concentrations. In this report, we demonstrate the analytical method developed to provide relatively rapid analysis of three selective mass channels (m/z 73, 205, 387), although in principle all collected mass channels could be analyzed. Twenty-six metabolites that differentiate repressed cells from derepressed cells were identified. The DR/R ratio of metabolite concentrations ranged from 0.02 for glucose to 67 for trehalose.-he average biological variation of the sample extracts was 31%. This analysis demonstrates the utility and benefit of using PCA combined with PARAFAC and ChromaTOF software on extremely complex samples to derive useful information from complex three-dimensional chromatographic data objectively and relatively rapidly.