Breitling Rainer, Pitt Andrew R, Barrett Michael P
Groningen Bioinformatics Centre, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9751 NN Haren, The Netherlands.
Trends Biotechnol. 2006 Dec;24(12):543-8. doi: 10.1016/j.tibtech.2006.10.006. Epub 2006 Oct 24.
The global study of the structure and dynamics of metabolic networks has been hindered by a lack of techniques that identify metabolites and their biochemical relationship in complex mixtures. The recent application of Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) to metabolomic analysis suggests a way to tackle the problem. A lower-cost alternative to high-field FTICR-MS, the Orbitrap mass analyzer, promises accelerated activity in this area. Here, we show how the ultra-high mass accuracy and resolution provided by this new generation of mass spectrometers can help to identify metabolites and connect them into metabolic networks. Data from perturbation studies and isotope-tracking experiments can complement this information to create metabolic maps de novo and chart unexplored areas of metabolism.
缺乏能够识别复杂混合物中代谢物及其生化关系的技术,阻碍了对代谢网络结构和动态的全球研究。傅里叶变换离子回旋共振质谱(FTICR-MS)最近在代谢组学分析中的应用,为解决这一问题提供了一种方法。作为高场FTICR-MS的低成本替代方案,轨道阱质量分析仪有望在这一领域加快研究进展。在此,我们展示了新一代质谱仪提供的超高质量准确度和分辨率如何有助于识别代谢物并将它们连接成代谢网络。来自扰动研究和同位素追踪实验的数据可以补充这些信息,从而从头创建代谢图谱并绘制未探索的代谢区域。