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. 2020 Oct 15;10:17328. doi: 10.1038/s41598-020-74274-8

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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 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/.

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Whole blood transcriptomes are largely stable over time. (A) PC analysis of samples containing all conditions tested. Axis percentages indicate variance contribution. (B) Correlation scatterplots between baseline and each condition tested. Values were averaged for each probe for a particular condition. (C) Paired correlation analysis between each condition compared to baseline for all individual subjects (p = 0.095; Kruskal–Wallis One-Way ANOVA). (n = 10 per condition, except n = 8 for the 15 h time point as two samples, HBP-04 and 09, did not meet ThermoFisher microarray QC metrics).