Department of Chemical Engineering, University of Delaware, Newark, DE 19716, USA.
Metab Eng. 2011 Mar;13(2):225-33. doi: 10.1016/j.ymben.2010.11.006. Epub 2010 Dec 4.
The goal of metabolic flux analysis (MFA) is the accurate estimation of intracellular fluxes in metabolic networks. Here, we introduce a new method for MFA based on tandem mass spectrometry (MS) and stable-isotope tracer experiments. We demonstrate that tandem MS provides more labeling information than can be obtained from traditional full scan MS analysis and allows estimation of fluxes with better precision. We present a modeling framework that takes full advantage of the additional labeling information obtained from tandem MS for MFA. We show that tandem MS data can be computed for any network model, any compound and any tandem MS fragmentation using linear mapping of isotopomers. The inherent advantages of tandem MS were illustrated in two network models using simulated and literature data. Application of tandem MS increased the observability of the models and improved the precision of estimated fluxes by 2- to 5-fold compared to traditional MS analysis.
代谢通量分析（MFA）的目的是准确估计代谢网络中的细胞内通量。在这里，我们介绍了一种基于串联质谱（MS）和稳定同位素示踪实验的新 MFA 方法。我们证明串联 MS 提供的标记信息比传统全扫描 MS 分析多，并且可以更精确地估计通量。我们提出了一个模型框架，充分利用了串联 MS 为 MFA 提供的额外标记信息。我们表明，串联 MS 数据可以使用同位异构体的线性映射为任何网络模型、任何化合物和任何串联 MS 碎裂进行计算。在使用模拟和文献数据的两个网络模型中，展示了串联 MS 的固有优势。与传统 MS 分析相比，串联 MS 的应用增加了模型的可观测性，并将估计通量的精度提高了 2 到 5 倍。
