bioRxivSystems BiologyPreprint
Spatial Metabolome Lipidome and Glycome from a Single brain Section
Harrison A. ClarkeiD, Xin MaiD, Cameron J. ShedlockiD, Terrymar Medina, Tara R. HawkinsoniD, Lei Wu, Roberto A. RibasiD, Shannon B. KeohaneiD, Sakthivel RaviiD, Jennifer L. BizoniD, Sara N. BurkeiD, Jose Francisco AbisambraiD, Matthew E. MerrittiD, Boone M. PrenticeiD, Craig W. Vander KooiiD, Matthew S. GentryiD, Li CheniD, Ramon C. SuniD
Abstract
Metabolites, lipids, and glycans are fundamental biomolecules involved in complex biological systems. They are metabolically channeled through a myriad of pathways and molecular processes that define the physiology and pathology of an organism. Here, we present a blueprint for the simultaneous analysis of spatial metabolome, lipidome, and glycome from a single tissue section using mass spectrometry imaging. Complimenting an original experimental protocol, our workflow includes a computational framework called Spatial Augmented Multiomics Interface (Sami) that offers multiomics integration, high dimensionality clustering, spatial anatomical mapping with matched multiomics features, and metabolic pathway enrichment to providing unprecedented insights into the spatial distribution and interaction of these biomolecules in mammalian tissue biology.
- organism: mouse
- organism: human
- assay: spatial transcriptomics
- assay: metabolomics
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 8
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