Spatial Metabolome Lipidome and Glycome from a Single brain Section

Area of Science:

• Biochemistry
• Molecular Biology
• Systems Biology

Background:

• Metabolites, lipids, and glycans are crucial biomolecules regulating physiological and pathological processes.
• Understanding their spatial distribution and interactions within tissues is vital for biological discovery.

Purpose of the Study:

• To present a novel workflow for simultaneous spatial analysis of metabolome, lipidome, and glycome from a single tissue section.
• To introduce the Spatial Augmented Multiomics Interface (Sami) computational framework for multiomics integration and spatial mapping.

Main Methods:

• Mass spectrometry imaging (MSI) for simultaneous biomolecule detection.
• Development of the Spatial Augmented Multiomics Interface (Sami) computational framework.
• High dimensionality clustering and spatial anatomical mapping of multiomics features.

Main Results:

• Successful simultaneous spatial profiling of metabolites, lipids, and glycans.
• Sami facilitates integration of multiomics data with spatial tissue information.
• Metabolic pathway enrichment analysis revealed spatial relationships of biomolecules.

Conclusions:

• The presented workflow and Sami framework offer unprecedented insights into spatial biomolecule distribution and interactions.
• This approach advances the understanding of mammalian tissue biology through integrated multiomics spatial analysis.