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. 2019 Mar 6;17(1):95–107. doi: 10.1038/s41423-019-0218-0

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© The Author(s) 2019

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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Fig. 7 — The Ex vivo DC-10 transcriptome resembles that of their in vitro counterpart. RNA was extracted from ex vivo DC-10 (n = 4) and from in vitro differentiated DC-10 and mDCs (n = 2) and sequenced. Published RNA-seq data of FACS-isolated cDCs (ex vivo cDCs, GSE70106) were used (n = 3). a Principal component analysis. PC variances are indicated on the axis, and each dot represents a donor and each subset is differently colored. b Gene Set Enrichment Analysis in ex vivo DC-10 and cDC transcriptomes of upregulated DEGs (left panel) and downregulated DEGs (right panel) in in vitro differentiated DC-10 compared to mDCs was performed. The enrichment profile is shown by the green line, while the hits are indicated by the black line. c The enrichment of biological process GO terms was analyzed with EnrichR and summarized using REVIGO. For each significant class (P < 0.01), enriched terms passing the redundancy reduction control are represented as scatterplots. Bubble colors indicate the P-value. The Y-axis indicates the semantic similarity between GO terms, whose units have no intrinsic meaning; semantically similar GO terms should cluster together in the plot. Pathways that are upregulated (left panel) and downregulated (right panel) are shown