Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany.
Anal Chem. 2009 Aug 1;81(15):6546-51. doi: 10.1021/ac900979e.
Metabolomics is rapidly becoming an integral part of many life science studies ranging from disease diagnostics to systems biology. However, a number of problems such as the discrimination of biological from non-biological signals, efficient compound annotation, and reliable quantification are still not satisfactorily solved in untargeted LC-MS-based metabolomics research. Extending our previous work on direct infusion-based metabolomics, we here describe a (13)C isotope labeling strategy in combination with an Ultra Performance Liquid Chromatography Fourier Transform Ion Cyclotron Resonance Mass Spectrometry-based approach (UPLC-FTICR MS) which provides a technological platform offering solutions to a number of the above-mentioned problems. We further demonstrate that the use of a fully labeled metabolome is not only beneficial for high end mass spectrometers, such as that used in this study but also provides a considerable improvement to every other mass spectrometry-based metabolomic platform.
代谢组学正在迅速成为许多生命科学研究的一个组成部分，从疾病诊断到系统生物学。然而，在非靶向 LC-MS 代谢组学研究中，一些问题，如生物信号与非生物信号的区分、有效化合物注释和可靠定量，仍未得到满意解决。在我们之前基于直接进样的代谢组学工作的基础上，我们在这里描述了一种 (13)C 同位素标记策略，结合超高效液相色谱傅里叶变换离子回旋共振质谱（UPLC-FTICR MS）方法，该方法提供了一个技术平台，为解决上述许多问题提供了方案。我们进一步证明，使用完全标记的代谢组不仅有利于像本研究中使用的高端质谱仪，而且对其他基于质谱的代谢组学平台也有相当大的改进。
