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. 2024 May 16;7:577. doi: 10.1038/s42003-024-06283-6

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© The Author(s) 2024

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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Fig. 2 — a A Venn diagram shows the distribution of proteins identified by LC-MS/MS in different databases. b Up- (red) and down- (blue) regulated, or unchanged (gray) proteins are shown in the Volcano plot. The X-axis represents the log₂ values of the fold change (FC) observed for each protein, and the Y axis depicts the log₁₀ values of the p value of the significance tests between replicates for each protein. Proteins with log₂ FC (CAS/CUS) > 0.58 (red) or <−0.58 (blue) and with a p value < 0.05 are displayed. c Principal component analysis (PCA) shows the spatial distribution of secretomes comparing CUS (filled circles) and CAS (empty circles) data. Each dot represents the cell lines from three PXE patients. d Loading plot of data shows the variables that contribute the most to spatial distribution observed in c. The length and the direction of vectors indicate how each ratio readout contributes to the two principal components in the plot.