Kita Yoshihiro, Tokuoka Suzumi M, Oda Yoshiya, Shimizu Takao
Life Sciences Core Facility, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Department of Lipidomics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Metabolites. 2022 Apr 15;12(4):354. doi: 10.3390/metabo12040354.
In targeted metabolomic analysis using liquid chromatography-multiple reaction monitoring-mass spectrometry (LC-MRM-MS), hundreds of MRMs are performed in a single run, yielding a large dataset containing thousands of chromatographic peaks. Automation tools for processing large MRM datasets have been reported, but a visual review of chromatograms is still critical, as real samples with biological matrices often cause complex chromatographic patterns owing to non-specific, insufficiently separated, isomeric, and isotopic components. Herein, we report the development of new software, TRACES, a lightweight chromatogram browser for MRM-based targeted LC-MS analysis. TRACES provides rapid access to all MRM chromatograms in a dataset, allowing users to start ad hoc data browsing without preparations such as loading compound libraries. As a special function of the software, we implemented a chromatogram-level deisotoping function that facilitates the identification of regions potentially affected by isotopic signals. Using MRM libraries containing precursor and product formulae, the algorithm reveals all possible isotopic interferences in the dataset and generates deisotoped chromatograms. To validate the deisotoping function in real applications, we analyzed mouse tissue phospholipids in which isotopic interference by molecules with different fatty-acyl unsaturation levels is known. TRACES successfully removed isotopic signals within the MRM chromatograms, helping users avoid inappropriate regions for integration.
在使用液相色谱 - 多反应监测 - 质谱联用(LC - MRM - MS)的靶向代谢组学分析中,单次运行会执行数百次多反应监测,从而产生一个包含数千个色谱峰的大型数据集。虽然已经报道了用于处理大型多反应监测数据集的自动化工具,但色谱图的目视检查仍然至关重要,因为含有生物基质的实际样品由于非特异性、分离不充分、异构体和同位素成分等原因,常常会导致复杂的色谱模式。在此,我们报告了新软件TRACES的开发情况,它是一款用于基于多反应监测的靶向液相色谱 - 质谱分析的轻量级色谱图浏览器。TRACES可快速访问数据集中的所有多反应监测色谱图,用户无需加载化合物库等准备工作即可开始临时数据浏览。作为该软件的一项特殊功能,我们实现了一种色谱图级别的去同位素功能,有助于识别可能受同位素信号影响的区域。利用包含前体和产物分子式的多反应监测库,该算法可揭示数据集中所有可能的同位素干扰,并生成去同位素色谱图。为了在实际应用中验证去同位素功能,我们分析了小鼠组织磷脂,已知其中不同脂肪酰不饱和度水平的分子会产生同位素干扰。TRACES成功去除了多反应监测色谱图中的同位素信号,帮助用户避免选择不适当的积分区域。