Yin Yandong, Luo Mingdu, Zhu Zheng-Jiang
Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032 P. R. China.
University of Chinese Academy of Sciences, Beijing, 100049 P. R. China.
J Am Soc Mass Spectrom. 2024 Dec 4;35(12):2960-2968. doi: 10.1021/jasms.4c00290. Epub 2024 Oct 14.
Liquid chromatography-mass spectrometry (LC-MS) is a powerful tool in untargeted metabolomics, enabling the high-sensitivity and high-specificity characterization of metabolites. The integration of ion mobility (IM) with LC-MS, known as LC-IM-MS, enhances the analytical depth, facilitating more comprehensive metabolite profiling. However, the complexity of data generated by these technologies presents significant challenges in data processing. Addressing these challenges, we developed Met4DX, a unified and versatile software tool for processing both 3D and 4D untargeted metabolomics data. Met4DX incorporates a new MS1-oriented peak detection approach coupled with our bottom-up assembly algorithm, enabling highly sensitive and comprehensive peak detection in untargeted metabolomics data. Additionally, Met4DX employs a uniform quantification strategy to enhance the precision of peak integration across different samples. The software provides a user-friendly interface that simplifies data processing with default parameter sets, consolidating peak detection, alignment, quantification, and other procedures into a single streamlined workflow. Together, Met4DX offers a comprehensive solution for multidimensional metabolomics data processing, transforming raw data from diverse MS instruments into a final feature table containing quantification and identification results. We postulate Met4DX facilitates metabolite discovery in biological samples by deciphering the complex untargeted metabolomics data. Met4DX is freely available on the Internet (https://met4dx.zhulab.cn/).
液相色谱 - 质谱联用(LC-MS)是无靶向代谢组学中的一种强大工具,能够对代谢物进行高灵敏度和高特异性的表征。将离子淌度(IM)与LC-MS相结合,即LC-IM-MS,可提高分析深度,有助于更全面地分析代谢物谱。然而,这些技术产生的数据的复杂性在数据处理方面带来了重大挑战。为应对这些挑战,我们开发了Met4DX,这是一种统一且通用的软件工具,用于处理三维和四维无靶向代谢组学数据。Met4DX采用了一种新的面向MS1的峰检测方法,并结合我们的自下而上的组装算法,能够在无靶向代谢组学数据中进行高灵敏度和全面的峰检测。此外,Met4DX采用统一的定量策略来提高不同样品间峰积分的精度。该软件提供了一个用户友好的界面,通过默认参数集简化数据处理,将峰检测、对齐、定量和其他程序整合到一个简化的工作流程中。总之,Met4DX为多维代谢组学数据处理提供了一个全面的解决方案,将来自各种质谱仪器的原始数据转换为一个包含定量和鉴定结果的最终特征表。我们推测Met4DX通过解读复杂的无靶向代谢组学数据促进生物样品中代谢物的发现。Met4DX可在互联网上免费获取(https://met4dx.zhulab.cn/)。