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. 2020 Nov 4;22:122. doi: 10.1186/s13058-020-01355-x

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© The Author(s) 2020

Open AccessThis 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. 5 — Effect of MR and RAR signalling on breast cancer cell proliferation. The meta-PCNA genes which are the top 1% of genes most highly correlated with the proliferating cell nuclear antigen (PCNA), a well-known proliferation marker is used to calculate the meta-PCNA index which is defined as the median expression of meta-PCNA genes. a PCNA index as a proliferation measure for MR-inducible cells under different treatment conditions. Here, Dox is used to induce MR; therefore, Dox alone is equivalent to vehicle treatment of MR containing cells. P values are based on paired Wilcoxon signed-rank test of the expression of meta-PCNA genes for each treatment comparison of interest. b Expression of meta-PCNA genes under different treatment conditions of MR-inducible MCF-7 breast cancer cells