Clarke Harrison A, Ma Xin, Shedlock Cameron J, Medina Terrymar, Hawkinson Tara R, Wu Lei, Ribas Roberto A, Keohane Shannon, Ravi Sakthivel, Bizon Jennifer, Burke Sara, Abisambra Jose Francisco, Merritt Matthew, Prentice Boone, Vander Kooi Craig W, Gentry Matthew S, Chen Li, Sun Ramon C
bioRxiv. 2023 Jul 25:2023.07.22.550155. doi: 10.1101/2023.07.22.550155.
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.
代谢物、脂质和聚糖是参与复杂生物系统的基本生物分子。它们通过无数的途径和分子过程进行代谢传递，这些途径和过程定义了生物体的生理学和病理学。在这里，我们展示了一种使用质谱成像同时分析来自单个组织切片的空间代谢组、脂质组和糖组的蓝图。作为原始实验方案的补充，我们的工作流程包括一个名为空间增强多组学界面（Sami）的计算框架，该框架提供多组学整合、高维聚类、具有匹配多组学特征的空间解剖图谱以及代谢途径富集，以提供对这些生物分子在哺乳动物组织生物学中的空间分布和相互作用的前所未有的见解。
