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Spatial Metabolome Lipidome and Glycome from a Single brain Section

Clarke, H. A.; Ma, X.; shedlock, c. J.; medina, t.; Hawkinson, T. R.; Wu, L.; Robas, R. A.; Ravi, S.; Bizon, J. L. L.; Burke, S. N.; Abisambra, J. F.; Merritt, M. E.; Prentice, B. M.; Vander Kooi, C. W.; Gentry, m. S.; Chen, L.; sun, r. c.

2023-07-25 systems biology
10.1101/2023.07.22.550155 bioRxiv
Show 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.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.