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. 2023 Mar 6;9:25. doi: 10.1038/s41421-023-00529-z

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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. 3 — a Dotplot shows transcriptional factors enriched in different human CAF subclusters. b, c UMAP plots show top expressed TFs from CAF clusters. d Violin plots show targeted genes from TFs in human CAF clusters. e Heatmap show TFs enriched in different murine CAF subclusters. f Violin plots show targeted genes from TFs in murine CAF clusters. g The activity of adipogenesis pathway gene signatures in different human CAF subclusters. h, i The mIF show CD36⁺CAFs significantly enriched in human HCC than adjacent liver tissues. j The correlation between CD36⁺CAFs and MDSCs, effector CD8⁺T cells from scRNA-seq data. k The correlation between CD36⁺CAFs and MDSCs in HBV-related HCC cohort. l The correlation between CD36⁺CAFs and effector CD8⁺T cells in HBV-related HCC cohort. m The correlation between CD36⁺CAFs and MDSCs from snRNA-seq data. n MIF staining showed CD36⁺CAFs interacted with MDSCs in closer proximity. Data shown as mean ± S.E.M., one-way ANOVA following multiple comparison test was used, ***P < 0.001, **P < 0.01, *P < 0.05, and ns not significant.