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. 2024 Nov 5;14:26811. doi: 10.1038/s41598-024-78171-2

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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 — Proteomic analysis of decellularised pUM. (a) PCA of 488 proteins identified by LC-MS from decellularised LR-D3 (blue, n = 4) and HR-M3 (purple, n = 4) pUM samples; (b) Volcano plot of differentially expressed proteins with FC ≥ 2, including 93 labelled proteins with P < 0.05 (red) Supplementary Table S1 ; (c) Hierarchical clustering of pUM samples for the significant 93 proteins (d) Tree plot of enriched GO terms for all proteins highlighting ECM pathways; (e) 45 proteins identified as ECM-associated using matrisome database 2.0 represented using ECM classifications.