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. 2021 Nov 25;12:6867. doi: 10.1038/s41467-021-27018-9

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© The Author(s) 2021

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 Scheme of the overall study design. scRNA-seq (10× Genomics) was applied to cells isolated from three subtypes of spinal ependymomas. b Hematoxylin and eosin (HE) staining of tumors from different cancer subtypes. The scale bar represents 30 μm. Images shown are representatives of more than three samples from three independent experiments. c Uniform Manifold Approximation and Projection (UMAP) plot showing the patient distribution of malignant cells, without donor effect correction. d UMAP plot of stromal and immune cell types from all patients (SE1-3, AEP1-3, EPN1-9), donor effect corrected by BBKNN. e Heatmap showing the expression of canonical gene markers of stromal and immune cell types. f Inference of copy-number variations (CNVs) from scRNA-seq. Each row corresponds to a cell. The top panel represents nonmalignant cells, and the bottom panel represents malignant cells, ordered by the patient. See also Supplementary Figs. 1 and 2 and Supplementary Data 1 and 2.