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. 2023 Jul 25;14(7):462. doi: 10.1038/s41419-023-05992-w

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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. 5 — a UMAP plot of 37616 spatial spots colored by cell types. The cell types of each spot were predicted by integrating the ST-seq data with the scRNA-seq data. b Spatial RNA-seq barcoded spots of the samples from patients P1 and P2, labeled by the predicted cell types. c Box plot of the difference of consistent scores of spots from tumor and normal tissues of the same patient in terms of different dominant cell types. d Box plot of the difference of consistent scores of spots from different tumor lesions of the same patient in terms of different dominant cell types. e Spatial spots colored by the predicted dominant epithelial cell subtypes. Four samples were displayed as examples. f Box plot of the difference of consistent scores of the spatial spots dominated by different epithelial cell subtypes. g Violin plot of the difference of consistent scores of spots from tumor and normal tissues in terms of different dominant epithelial cell subtypes. Kruskal test, unpaired.