Multi-Modal Spatial Metabolomics with Mid-Infrared Microscope Guided Mass Spectrometry Imaging

Area of Science:

• Biochemistry
• Molecular Biology
• Bioinformatics

Background:

• Spatial metabolomics maps metabolite distribution for understanding biological heterogeneity.
• Mid-infrared (MIR) imaging and mass spectrometry imaging (MSI) are key spatial metabolomics techniques.
• Integrating these techniques offers complementary advantages for deeper insights.

Purpose of the Study:

• To present a workflow for performing MIR imaging and matrix-assisted laser desorption ionization MSI (MALDI-MSI) on the same tissue section.
• To enable multi-modal spatial metabolomics by co-registering and integrating data from both imaging modalities.
• To leverage advanced bioinformatics tools for comprehensive data analysis.

Main Methods:

• Non-destructive MIR imaging performed first for biochemical analysis.
• MALDI-MSI performed subsequently, guided by MIR spatial data.
• Co-registration and data integration of MIR and MALDI-MSI images.
• Bioinformatics analysis using tools like Seurat for multi-modal data interpretation.

Main Results:

• A validated workflow for sequential MIR imaging and MALDI-MSI on identical tissue sections.
• Successful co-registration and integration of data from both modalities.
• Demonstration of enhanced spatial and chemical insights into metabolic processes.

Conclusions:

• The integration of MIR imaging and MSI is a transformative advancement in spatial metabolomics.
• This multi-modal approach provides unprecedented opportunities to study metabolic complexity in health and disease.
• Significant potential for biomarker discovery, diagnostics, and therapeutic development.