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. 2020 Jul 24;11:3730. doi: 10.1038/s41467-020-17489-7

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© The Author(s) 2020

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. 5 — Unsupervised principal component analysis of serum-soluble mediators and cell phenotypic data, including n = 26 EBOV_S and n = 33 HDs. EBOV_S are indicated in red and HDs in blue (a). Variables used for the construction of the components (b). Spearman’s correlation matrix between serum-soluble mediators and cell phenotypes from n = 39 HDs and n = 34 EBOV_S. Colors indicated Spearman’s correlation coefficient. Only significant correlations (p < 0.05) are represented (unadjusted for test multiplicity) (c). Unsupervised PCA including genes (blue) from the main pathways associated with differentially expressed genes in EBOV_S and HDs, including IFN signaling, the complement system and PRR signaling pathways (d).