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. 2023 May 10;14:2692. doi: 10.1038/s41467-023-38360-5

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a Strategy of integrated spatially resolved multi-omics for highlighting tumor metabolic remodeling and interactions. b H&E stain image of gastric cancer tissue section from patient “No.0429” and ×40 magnified H&E stain image of different gastric cancer tissue regions, scale bar = 2 mm for whole tissue section, scale bar = 100 μm for magnified images. The experiment was repeated three times. c Metabolite and lipid-driven tissue section segmentation based on the MALDI-MSI data. d Metabolite and lipid-driven in situ PLSA analysis. e Visium array spots colored by graph-based clustering algorithm.