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. 2020 Jul 1;21:157. doi: 10.1186/s13059-020-02058-4

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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 — scRNA-seq reveals distinct cell types generated during hPSC differentiation. a Heatmap of the marker genes for each cluster. For this analysis, data from EHT D3 and EHT D5 were merged. b tSNE plots showing comparison of samples collected at EHT D3 and EHT D5. Four populations were identified based on transcriptional identity. Pie charts are showing the percentage and absolute number (in brackets) of cells in each cluster. Transcriptional data was used to order cells along differentiation trajectories, from endothelial cells (right) to the haematopoietic and mesenchymal branches (left). c tSNE plots of merged data from EHT D3 and EHT D5. Expression of relevant lineage markers is shown