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. 2020 May 19;11:184. doi: 10.1186/s13287-020-01692-w

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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. 2 — Heatmap of top DE genes and GO terms comparing adult, fetal and ESC-tenocytes. a Differential gene expression analysis for top 30 genes DE in adult and fetal tenocytes. Dendrograms are based on Pearson’s correlation, with red and blue colours representing up- and downregulated genes, respectively. Samples with intermediate expression are represented in yellow. Groups are visualised in columns, with the coloured bar above the heatmap indicating the grouping variable. Genes are represented in individual rows, with patterns of up- and downregulated genes being classified into 5 clusters. b Summary of the top 10 significantly enriched gene ontology (GO) biological process terms for each pairwise comparison of DE genes in adult, fetal and ESC-derived tenocytes. Go terms are arranged alphabetically to allow easier comparison between each group