Chen Li, Zhong Fanyi, Zhu Jiangjiang
Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA.
James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Metabolites. 2020 Aug 27;10(9):348. doi: 10.3390/metabo10090348.
This mini-review aims to discuss the development and applications of mass spectrometry (MS)-based hybrid approaches in metabolomics. Several recently developed hybrid approaches are introduced. Then, the overall workflow, frequently used instruments, data handling strategies, and applications are compared and their pros and cons are summarized. Overall, the improved repeatability and quantitative capability in large-scale MS-based metabolomics studies are demonstrated, in comparison to either targeted or untargeted metabolomics approaches alone. In summary, we expect this review to serve as a first attempt to highlight the development and applications of emerging hybrid approaches in metabolomics, and we believe that hybrid metabolomics approaches could have great potential in many future studies.
本综述旨在探讨基于质谱(MS)的混合方法在代谢组学中的发展与应用。介绍了几种最近开发的混合方法。然后,对整体工作流程、常用仪器、数据处理策略和应用进行了比较,并总结了它们的优缺点。总体而言,与单独的靶向或非靶向代谢组学方法相比,基于大规模质谱的代谢组学研究展示出了更高的重复性和定量能力。总之,我们期望本综述作为首次尝试,以突出代谢组学中新兴混合方法的发展与应用,并且我们相信混合代谢组学方法在未来许多研究中可能具有巨大潜力。