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. 2022 Feb 22;5:153. doi: 10.1038/s42003-022-03108-2

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© The Author(s) 2022

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. 2 — a Gene ontology analysis and subcellular distribution of quantified liver proteome compared to maximal detectable mouse liver proteome. b Principal component analysis (PCA) comparing the four mouse groups based on component 1 and 4, accounting for 26.6% and 7.6% of variability, respectively. c Number of differentially expressed proteins compared to wild type control mice. d Heat map of mean z-scored protein LFQ intensities of 230 differentially expressed proteins (ANOVA FDR < 0.05) after unsupervised hierarchical clustering. Enriched Gene Ontology terms among protein clusters are shown on the right. Bars represent position of annotated proteins; subclusters with highest enrichment (Fisher’s exact test p-value) for each term are framed.