Millard Pierre, Letisse Fabien, Sokol Serguei, Portais Jean-Charles
Université de Toulouse; INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, Toulouse, 31077, France.
Methods Mol Biol. 2014;1191:197-207. doi: 10.1007/978-1-4939-1170-7_12.
Mass spectrometry (MS) in combination with isotope labelling experiments is widely used for investigations of metabolism and other biological processes. Quantitative applications-e.g., (13)C metabolic flux analysis-require correction of raw MS data (isotopic clusters) for the contribution of all naturally abundant isotopes. This chapter describes how to perform such correction using the software IsoCor. This flexible, user-friendly software can be used to exploit any isotopic tracer, from well-known ((13)C, (15)N, (18)O, etc.) to unusual ((57)Fe, (77)Se, etc.) isotopes. It also provides options-e.g., correction for the isotopic purity of the tracer-to improve the accuracy of quantitative isotopic studies, and allows automated correction of large datasets that can be collected with modern MS methods.
质谱（MS）结合同位素标记实验被广泛用于代谢及其他生物过程的研究。定量应用，例如（13）C代谢通量分析，需要针对所有天然丰度同位素的贡献对原始MS数据（同位素簇）进行校正。本章描述了如何使用IsoCor软件进行此类校正。这款灵活且用户友好的软件可用于利用任何同位素示踪剂，从知名的（（13）C、（15）N、（18）O等）到不常见的（（57）Fe、（77）Se等）同位素。它还提供了一些选项，例如校正示踪剂的同位素纯度，以提高定量同位素研究的准确性，并允许对通过现代MS方法收集的大型数据集进行自动校正。
