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. 2019 Nov 5;2:406. doi: 10.1038/s42003-019-0618-9

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© The Author(s) 2019

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 — ScRNAseq yielded 11 different clusters representing different populations of luminal, fibroblast, immune, and other cells. a T-SNE plot of cells from the combination of two independent experiment sets from vehicle, E2 and E2 + PBDE group. Cells were color coded according to clusters. b Heatmap showing specific genes (top 5 differentially expressed genes in each cluster, top 20 gene lists shown in Supplementary Data 1). c Dendogram showing cluster relationship to other clusters based on gene expression data. d Violin plots of gene expression of selected genes unique for each cluster. Krt18 (luminal cell marker), Krt14 (basal cell marker), Ptprc (immune cell marker), Col1a1 (fibroblast marker), Pecam1 (endothelial cell marker), were used to identify distinct cell populations. e T-SNE plots of cells separated by treatment group. f Cell distributions from two independent experiments by percentage for all three treatment groups among all 11 total clusters. Symbols indicate individual cell distributions for each of the two experimental replicates (triangle, circle)