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. 2022 Dec 7;12:990398. doi: 10.3389/fonc.2022.990398

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Copyright © 2022 Obr, Bulatowicz, Chang, Ciliento, Lemenze, Maingrette, Shang, Gallagher, LeRoith and Wood

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Identifying mammary tumor heterogeneity by single cell RNA-sequencing. (A) Uniform Manifold Approximation and Projection (UMAP) plot of cells from Wnt1, DN-Wnt1, and K8iKOR-Wnt1 tumors resulting in 17 individual clusters. (B) UMAP plot with identification of cluster cell types defined by known markers. (C) Dot plot of cell markers. (D) Percent tumor genotype graph for each cluster. Clusters are ordered by identified tumor cells. MAC and T-cell populations were generally decreased in DN-Wnt1 and K8iKOR-Wnt1 tumors. (MACs = monocytes/macrophages, TC = T cells, FIBs = fibroblasts, EPI = epithelial cells, EC = endothelial cells).