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. 2018 Aug 14;8:12123. doi: 10.1038/s41598-018-30640-1

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© The Author(s) 2018

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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Gene expression analysis of a TGFβ-induced EMT in PyMT-1099 and NMuMG cells. (A) The heatmaps represent expression of selected EMT markers during the EMT and MET time courses in PyMT-1099 and NMuMG (E9) cells as determined by RNA-Seq analysis. (B) The heatmap represents the “common” significantly regulated pathways during TGFβ−induced EMT time courses in PyMT-1099 and NMuMG (E9) cells obtained by GO analysis of the RNA-Seq data. (C) The heatmap represents the “common” significantly regulated pathways during MET time courses in PyMT-1099 and NMuMG (E9) cells obtained by GO analysis of the RNA-Seq data. (D) The heatmaps represent the “unique” significantly regulated pathways during the TGFβ-induced EMT time courses in PyMT-1099 and NMuMG (E9) cells computed by GO analysis of the RNA-Seq data.