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. 2023 Feb 23;14:1028. doi: 10.1038/s41467-023-36707-6

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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. 2 — a Heatmap of horizontally integrated spatial transcriptional signatures/modules expressed in all malignant spots (n = 19,767). The sample identify for each spot is shown by different colors in the top bar. b Heatmap of GWR-based, spatially weighted correlation of the 48 spatial cluster signatures, marked by different colors on the left. Hierarchical clustering confirmed 4 clustered programs that correspond to the four modules in a, marked by different colors on the top. c The percentages of cluster signatures per tumor type contributing to each program are shown. d Representative examples of the correlation between the module gene expression and the histopathology of glioma niches across all samples (n = 10). e Heatmap of spatial weighted correlation between our modules and Ravi et al.³³ modules across all malignant spots (n = 19,767). Correlation and P values were determined by non-parametric Spearman’s correlation test, Bonferroni-corrected for multiple comparisons. Source data are provided as a Source Data file, and individual P values are included. f Dot plot indicating subclonal distribution across different glioma niches marked by transcriptional modules from all subclones (n = 24). Dot size and color reflect the percentage.