Ion Mobility-Mass Spectrometry Imaging Workflow

离子迁移光谱法 质谱成像 工作流程 化学 软件 质谱法 接口(物质) 计算机科学 数据库 操作系统 色谱法 吉布斯等温线 吸附 有机化学
作者
Daniela Mesa Sanchez,Steve Creger,Veerupaksh Singla,Ruwan T. Kurulugama,John C. Fjeldsted,Julia Laskin
出处
期刊:Journal of the American Society for Mass Spectrometry [American Chemical Society]
卷期号:31 (12): 2437-2442 被引量:22
标识
DOI:10.1021/jasms.0c00142
摘要

Mass spectrometry imaging (MSI) is a powerful technique for the label-free spatially resolved analysis of biological tissues. Coupling ion mobility (IM) separation with MSI allows for separation of isobars in the mobility dimension and increases confidence of peak assignments. Recently, imaging experiments have been implemented on several commercially available and custom-designed ion mobility instruments, making IM-MSI experiments more broadly accessible to the MS community. However, the absence of open access data analysis software for IM-MSI systems presents a bottleneck. Herein, we present an imaging workflow to visualize IM-MSI data produced on the Agilent 6560 ion mobility quadrupole time-of-flight system. Specifically, we have developed a Python script, the ion mobility-mass spectrometry image creation script (IM-MSIC), which interfaces Agilent's Mass Hunter Mass Profiler software with the MacCoss lab's Skyline software and generates drift time and mass-to-charge-selected ion images. In the workflow, Mass Profiler is used for an untargeted feature detection. The IM-MSIC script mediates user input of data, extracts ion chronograms utilizing Skyline's command-line interface, and then proceeds toward ion image generation within a single user interface. Ion image postprocessing is subsequently performed using different tools implemented in accompanying scripts. Though the current work only showcases Agilent IM-MSI data, this workflow can be readily adapted for use with most major instrument vendors.
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