Exploring Ion Mobility Mass Spectrometry Data File Conversions to Leverage Existing Tools and Enable New Workflows.

IF 3.1 2区 化学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of the American Society for Mass Spectrometry Pub Date : 2024-08-07 Epub Date: 2024-07-26 DOI:10.1021/jasms.4c00220
Sarah M Stow, Bryson C Gibbons, Leonard C Rorrer Iii, Lauren Royer, Rebecca S Glaskin, Gordon W Slysz, Ruwan T Kurulugama, John C Fjeldsted, Daniel DeBord, Aivett Bilbao
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Abstract

Ion mobility (IM) is often combined with LC-MS experiments to provide an additional dimension of separation for complex sample analysis. While highly complex samples are better characterized by the full dimensionality of LC-IM-MS experiments to uncover new information, downstream data analysis workflows are often not equipped to properly mine the additional IM dimension. For many samples the data acquisition benefits of including IM separations are all that is necessary to uncover sample information and the full dimensionality of the data is not required for data analysis. Postacquisition reduction and adaptation of the dimensions of LC-IM-MS and IM-MS experiments into an LC-MS format opens the possibility to use a plethora of existing software tools. In this work, we developed data file conversion tools to reduce the complexity of IM data analysis. Three data file transformations are introduced in the PNNL PreProcessor software: (1) mapping the IM axis to the LC axis for IM-MS data, (2) converting the drift time vs m/z space to CCS/z vs m/z space, and (3) transforming All Ions IM/MS mobility aligned fragmentation data to a standard LC-MS DDA data file format. These new data file conversions are demonstrated with corresponding lipidomics and proteomics workflows that leverage existing LC-MS data analysis software to highlight the benefits of the data transformations.

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探索离子迁移质谱数据文件转换,以充分利用现有工具并启用新的工作流程。
离子迁移率(IM)通常与液相色谱-质谱(LC-MS)实验相结合,为复杂样品分析提供额外的分离维度。LC-IM-MS 实验的全维度能更好地表征高度复杂的样品,从而发现新的信息,但下游数据分析工作流程往往不具备适当挖掘额外的 IM 维度的能力。对于许多样品来说,包括 IM 分离在内的数据采集优势是发现样品信息的全部必要条件,数据分析并不需要数据的全维度。采集后缩减 LC-IM-MS 和 IM-MS 实验的维度并将其调整为 LC-MS 格式,为使用大量现有软件工具提供了可能。在这项工作中,我们开发了数据文件转换工具,以降低 IM 数据分析的复杂性。在 PNNL PreProcessor 软件中引入了三种数据文件转换:(1) 将 IM-MS 数据的 IM 轴映射到 LC 轴;(2) 将漂移时间 vs m/z 空间转换为 CCS/z vs m/z 空间;(3) 将 All Ions IM/MS 迁移率对齐碎片数据转换为标准 LC-MS DDA 数据文件格式。利用现有的 LC-MS 数据分析软件,通过相应的脂质组学和蛋白质组学工作流程演示了这些新的数据文件转换,以突出数据转换的优势。
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来源期刊
CiteScore
5.50
自引率
9.40%
发文量
257
审稿时长
1 months
期刊介绍: The Journal of the American Society for Mass Spectrometry presents research papers covering all aspects of mass spectrometry, incorporating coverage of fields of scientific inquiry in which mass spectrometry can play a role. Comprehensive in scope, the journal publishes papers on both fundamentals and applications of mass spectrometry. Fundamental subjects include instrumentation principles, design, and demonstration, structures and chemical properties of gas-phase ions, studies of thermodynamic properties, ion spectroscopy, chemical kinetics, mechanisms of ionization, theories of ion fragmentation, cluster ions, and potential energy surfaces. In addition to full papers, the journal offers Communications, Application Notes, and Accounts and Perspectives
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