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. 2020 Apr 10;10:6245. doi: 10.1038/s41598-020-63361-5

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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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Unsupervised clustering of AT samples by PCA based on PVAT DE transcripts. Scatterplot of the first two principal components (PC1 and PC2) obtained from the PCA performed on the expression matrix of the 210 DE transcripts obtained by comparing Oc vs. St-PVAT, for PVAT samples (A) and omental-visceral (V), subcutaneous (S) AT (B). PC1 and PC2 explained together 80% and 66% variance for PVAT and V-S depots, respectively, allowing discriminating most of the Oc- vs. St-patients. Red and blue colors represent Oc- and St-patients, respectively. Circle, triangle, plus and square shapes associate, respectively, with DA-PVAT, Px-PVAT, subcutaneous and omental-visceral AT. Numbers refer to patient’s paired-samples.