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. 2022 Aug 18;5:834. doi: 10.1038/s42003-022-03559-7

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© The Author(s) 2022

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 UMAP of 94357 single cells from breast tumours colour-coded according to cell types. b, d Dot plot of lncRNAs (found in the scRNA-seq data set) with highest glm coefficient associated with the characteristics of each cluster, i.e ESR1 mRNA (Cluster 1), fibroblast score (Cluster 2), lymphocyte score (Cluster 3). Size of the dot represents the percentage of cells expressing the lncRNA, while the colour of the dot reflects the average expression in each of the UMAP-cell-type-cluster identified. Cluster 1 lncRNAs b, cluster 2 lncRNAs c, and cluster 3 lncRNAs d. e–g Expression of one high ranking lncRNA from each lncRNA cluster plotted on the scRNA-seq UMAP. Cluster 1-lncRNA: GATA3-AS1 c, cluster 2-lncRNA: NR2F1-AS1 d, and cluster 3-lncRNA: LINC0861 e. Colour gradient (purple) represents Log normalized counts using scale.factor = 10000.