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Ion Mobility-Mass Spectrometry Imaging Workflow.
- Source :
-
Journal of the American Society for Mass Spectrometry [J Am Soc Mass Spectrom] 2020 Dec 02; Vol. 31 (12), pp. 2437-2442. Date of Electronic Publication: 2020 Aug 25. - Publication Year :
- 2020
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 1879-1123
- Volume :
- 31
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Journal of the American Society for Mass Spectrometry
- Publication Type :
- Academic Journal
- Accession number :
- 32841564
- Full Text :
- https://doi.org/10.1021/jasms.0c00142