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基于对(13)C标记的初级代谢产物的质量同位素异构体测量的酿酒酵母CEN.PK113 - 7D的代谢通量分析

Metabolic-flux analysis of Saccharomyces cerevisiae CEN.PK113-7D based on mass isotopomer measurements of (13)C-labeled primary metabolites.

作者信息

van Winden Wouter A, van Dam Jan C, Ras Cor, Kleijn Roelco J, Vinke Jacobus L, van Gulik Walter M, Heijnen Joseph J

机构信息

Kluyver Laboratory for Biotechnology, Department of Biotechnology, Faculty of Applied Sciences, Bioprocess Technology Group, Delft University of Technology, Julianalaan 67, 2628 BC Delft, The Netherlands.

出版信息

FEMS Yeast Res. 2005 Apr;5(6-7):559-68. doi: 10.1016/j.femsyr.2004.10.007.

Abstract

Metabolic-flux analyses in microorganisms are increasingly based on (13)C-labeling data. In this paper a new approach for the measurement of (13)C-label distributions is presented: rapid sampling and quenching of microorganisms from a cultivation, followed by extraction and detection by liquid chromatography-mass spectrometry of free intracellular metabolites. This approach allows the direct assessment of mass isotopomer distributions of primary metabolites. The method is applied to the glycolytic and pentose phosphate pathways of Saccharomyces cerevisiae strain CEN.PK113-7D grown in an aerobic, glucose-limited chemostat culture. Detailed investigations of the measured mass isotopomer distributions demonstrate the accuracy and information-richness of the obtained data. The mass fractions are fitted with a cumomer model to yield the metabolic fluxes. It is estimated that 24% of the consumed glucose is catabolized via the pentose phosphate pathway. Furthermore, it is found that turnover of storage carbohydrates occurs. Inclusion of this turnover in the model leads to a large confidence interval of the estimated split ratio.

摘要

微生物中的代谢通量分析越来越多地基于碳-13(¹³C)标记数据。本文提出了一种测量¹³C标记分布的新方法:从培养物中快速采集微生物样本并淬灭,随后通过液相色谱-质谱联用对游离细胞内代谢物进行提取和检测。这种方法能够直接评估初级代谢物的质量同位素异构体分布。该方法应用于在需氧、葡萄糖受限的恒化器培养中生长的酿酒酵母CEN.PK113-7D菌株的糖酵解途径和磷酸戊糖途径。对测得的质量同位素异构体分布的详细研究证明了所获数据的准确性和信息丰富性。将质量分数与累积异构体模型拟合以得出代谢通量。据估计,消耗的葡萄糖中有24%通过磷酸戊糖途径进行分解代谢。此外,还发现了储存碳水化合物的周转情况。在模型中纳入这种周转会导致估计的分配比置信区间很大。

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