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. 2023 May 19;10:304. doi: 10.1038/s41597-023-02220-0

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© The Author(s) 2023

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. 3 — Principal Component Analysis. Scatter plot with of 1^st principal component (PC) vs. 2^nd PC (a,b), 1^st vs. 3^rd (c,d) and 2^nd vs. 3^rd (e,f) for human (a,c,e) and mouse (b,d,f) samples. Different symbol shapes indicate different timepoints i.e. circles for 24 h and triangles for 48 h. Different colors indicate the different conditions. All plots have the same height and 1:1 scale of both axes, aspect ratio of individual plot is determined by relative spread across the two principal components.