SMASH Imaging: A Serial Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Strategy for High-Resolution
Haruki Uchino1, Hiroshi Tsugawa1,2,3, Makoto Arita1,4,5,6
1Laboratory for Metabolomics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.
SMASH imaging enables dual-polarity and MS2 spatial lipidomics on a single tissue section, improving lipid coverage and annotation accuracy. This method achieves high resolution, creating detailed lipidome atlases for enhanced biological insights.
Area of Science:
- Spatial biology
- Lipidomics
- Mass spectrometry imaging
Background:
- Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is crucial for spatial lipidomics, offering high sensitivity and resolution.
- Dual-polarity analysis and MS/MS data are essential for comprehensive lipid coverage and accurate annotation due to ionization preferences and limited structural information.
- Serial MALDI-MSI for multimodal data integration requires evaluation for feasibility at high spatial resolutions.
Purpose of the Study:
- To present SMASH imaging, a novel method for dual-polarity and MS2 spatial lipidomics within a single tissue section.
- To evaluate the feasibility of serial MALDI-MSI for high-resolution spatial lipidomics.
- To establish criteria for matrix compounds and assess the number of imaging layers for optimal data acquisition.
Main Methods:
- Developed SMASH imaging integrating dual-polarity and MS2 acquisition in one tissue section.
- Utilized specific matrix compounds (2,5-dihydroxyacetophenone and trans-2-[3-(4-tert-butylphenyl)-2-methyl-2-propenylidene]malononitrile) for dual-polarity analysis.
- Determined optimal SMASH imaging layers using coefficient of determination (R2) and evaluated performance at 30 μm and 5 μm resolutions.
Main Results:
- SMASH imaging visualized over 400 lipid species at 30 μm resolution with strict annotation criteria (S/N ≥ 50, m/z ≤ 10 mDa, CCS ≤ 20 Å2).
- Four layers of SMASH imaging enabled MS2-based characterization of 18 lipid species in mouse brain.
- Eight layers of SMASH imaging at 5 μm resolution annotated 25 lipid species, supported by spatial correlation metrics.
Conclusions:
- SMASH imaging provides a feasible approach for multimodal spatial lipidomics on a single tissue section.
- The method enhances lipidome coverage, annotation accuracy, and spatial resolution, enabling detailed lipid atlas creation.
- This technique facilitates comprehensive molecular characterization and spatial mapping of lipids in biological tissues.
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