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. 2017 Nov 13;7:15453. doi: 10.1038/s41598-017-14894-9

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© The Author(s) 2017

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 data overview and significantly differentially expressed proteins. (a) Proteomics reveals sex-dependent protein expression differences in lung tissue. The heatmap shows proteome data overview of 8635 proteins with overlapping quantification in all 4 weeks of age lung samples using hierarchical clustering. Columns and rows represent lung samples and proteins, respectively. The samples are labels as sex_genotype_ID. The major factor for clustering is sex, and not genotype. (b) Boxplot of the three significantly differentially expressed proteins. The y-axis shows the ratios to the pool. For each gene, the ratios to the pool in the wild type group (WT) and knock-out group (KO) are plotted in the boxplot, respectively.