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. 2020 Jan 28;10:1314. doi: 10.1038/s41598-020-58030-6

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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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Proteomics analysis of the CDAA model at 12 weeks and comparison to transcriptomic data. (a) Volcano plots of protein changes observed in liver (left) and plasma (right). Significant changes are colored (T-test, permutation based FDR < 1%). (b) Venn diagram showing the overlap of liver and plasma proteomics data. Lower plot: corresponding log₂ fold changes of liver and plasma proteins. Significantly changing proteins in both matrices are colored. (c) Correlation of individual transcript to protein log₂ fold changes at week 12. Significant changes on both levels are colored. (d) Top two overrepresented sets of anti-regulated features on transcript and protein level (n = 49, Benjamini-Hochberg adj. p value < 0.05). Statistical overrepresentation of Gene Ontology (GO) terms (GO Database released 2019-01-01) for Molecular Function (GO MF), Cellular Component (GO CC), and Biological Process (GO BP) was tested against all overlapping features as reference list with the Panther online tool⁶⁸ (http://pantherdb.org/).