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. 2022 Mar 22;12:4893. doi: 10.1038/s41598-022-08870-1

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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 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/.

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Molecular features of the basal transcriptional states. (A–C) Boxplots displaying gene scoring of each basal transcriptional state using gene signatures for mammary stemness (A), glycolysis (B), and OxPhos (C). p values in (A-C) were generated using Mann–Whitney U tests. (D) PPIs for each cell state (myoepithelial, pink; Tspan8^High, green; Egr2^High, blue; proliferating, purple), where each node is protein coded by the marker gene and each edge is a predicted direct or indirect interaction. (E) Bar plots displaying the number of PPIs for each transcriptional state. (F–G) Projections of RNA Velocity fields onto UMAP from Fig. 1B using linear (F) and non-linear (G) models. (H–I) Dot plots indicating the outgoing (H) and incoming (I) signaling contributions from each transcriptional state for significant signaling pathways identified. (J) Signaling pattern of non-canonical WNT signaling.