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. 2024 Jan 30;16:9. doi: 10.1038/s41368-023-00267-8

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© The Author(s) 2024

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. 3 — Metabolic heterogeneity affects the TME. a Deconvolution results from Cell data indicate the proportion of each cell type in different types of tissue and metabolic regions of tumors. b Deconvolution results from SC data indicate the proportion of representative cell type of each spot in different types of tissue and metabolic regions of tumors. c The detailed percentage of different cell types in Cell data and SC data is shown, with T cells and CD4T cells displaying a similar changing trend in different metabolic regions. d Immunofluorescence shows the co-localization of T cells (CD3) and hypermetabolic regions (LDHA and HIF1α) in OSCC