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. 2018 Nov 14;9:4783. doi: 10.1038/s41467-018-07306-7

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© The Author(s) 2018

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. 1 — Label-free quantitative proteomics identifies the distinctive ECM composition of human CRC hepatic metastases. a Decellularized and ECM-enriched fractions from CRC hepatic metastases and paired adjacent unaffected liver tissues (n = 5 per group) were analyzed using LC-MS/MS with the following label-free quantitation. Shown is the principal component analysis of the relative protein abundance between metastasis and adjacent liver groups (P < 0.05). Percentage of variance is shown in parentheses. b Clustering analysis graph reveals categories of proteins differentially expressed in metastasis and adjacent liver groups. c Statistically significant differentially expressed proteins (287 out of 821 hits, two-way ANOVA, P < 0.05) were further classified either as ECM proteins or other proteins. d A heat map illustrating significantly different matrisome proteins (69 hits), which were selected based on a fold change threshold of > 3 and ranked in accordance with ECM category and fold change. The last gray colored table represents 9 selected other hits (i.e., non-ECM proteins yet significantly different in ECM-enriched samples). ECM extracellular matrix, P patient