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. 2023 Aug 25;21:570. doi: 10.1186/s12967-023-04438-3

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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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Single-cell transcriptomic profiles of breast cancers with and without angiogenesis. A Workflow illustrating sample preparation, sequencing and bioinformatic analysis. B UMAP plot colored by inferred cell clusters. C UMAP of 48,644 cells from eight breast cancer tissues. D The distribution of malignant cells in different tumors with and without angiogenesis. Malignant cells with or without angiogenesis were classified as angiogenesis and control groups, respectively. The rest of the cells were classified in the NA group. E Single-cell map showing subclusters of malignant cells. F Single-cell atlas showing tumor cell subsets of angiogenic and non-angiogenic breast cancer groups