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. 2018 Mar 13;5:180035. doi: 10.1038/sdata.2018.35

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Copyright © 2018, The Author(s)

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/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.

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(a) Scheme of comparative hepatic differentiation of iPSCs and hESCs. iPSCs and hESCs are differentiated into HLCs which can be compared versus each other and versus fetal liver (FL) and PHHs. Also the intermediate stages DE and HE are captured and thus can be subjected to comparative analysis. Hierarchical clustering of hESC (b) and iPSC (c) differentiation into HLCs was performed via pvclust using 1000 bootstrap samples. „au“ (approximately unbiased) is computed by multiscale bootstrap resampling and „bp“ (bootstrap probability) by normal bootstrapping. Red rectangles mark clusters with AU larger than 95%. Thus the dendrogram is with one exception in hESC (98%) at 100% supported by data. All replicates cluster together. HLCs cluster apart from hESCs/iPSCs, DE and HE. Fetal liver and PHH cluster together and separated from the hESC/iPSC-derived hepatic differentiation stages.