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. 2020 Nov 6;11:5625. doi: 10.1038/s41467-020-19444-y

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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. 7 — a TENGi MS workflow; b volcano plot for IFN-γ stimulated (S) vs. unstimulated (U) MSCs. c PLS-DA VIP score plot with the top 20 features ranked by their PLS-DA VIP scores. d Principal component analysis score plot for IFN-γ stimulated vs. unstimulated MSCs using 14 significant features selected by volcano plot criteria and PLS-DA VIP score > 1.8; e corresponding principal component analysis score loadings plot identifying features that discriminate stimulated vs. non-stimulated MSCs.