Benefits and limits of decellularization on mass-spectrometry-based extracellular matrix proteome analysis of mouse kidney
- PMID: 38896836
- DOI: 10.1002/pmic.202400052
Benefits and limits of decellularization on mass-spectrometry-based extracellular matrix proteome analysis of mouse kidney
Abstract
The extracellular matrix (ECM) is composed of collagens, ECM glycoproteins, and proteoglycans (also named core matrisome proteins) that are critical for tissue structure and function, and matrisome-associated proteins that balance the production and degradation of the ECM proteins. The identification and quantification of core matrisome proteins using mass spectrometry is often hindered by their low abundance and their propensity to form macromolecular insoluble structures. In this study, we aimed to investigate the added value of decellularization in identifying and quantifying core matrisome proteins in mouse kidney. The decellularization strategy combined freeze-thaw cycles and sodium dodecyl sulphate treatment. We found that decellularization preserved 95% of the core matrisome proteins detected in non-decellularized kidney and revealed few additional ones. Decellularization also led to an average of 59 times enrichment of 96% of the core matrisome proteins as the result of the successful removal of cellular and matrisome-associated proteins. However, the enrichment varied greatly among core matrisome proteins, resulting in a misrepresentation of the native ECM composition in decellularized kidney. This should be brought to the attention of the matrisome research community, as it highlights the need for caution when interpreting proteomic data obtained from a decellularized organ.
Keywords: decellularization; extracellular matrix; kidney; matrisome.
© 2024 The Author(s). PROTEOMICS published by Wiley‐VCH GmbH.
Similar articles
-
SWATH mass spectrometry as a tool for quantitative profiling of the matrisome.J Proteomics. 2018 Oct 30;189:11-22. doi: 10.1016/j.jprot.2018.02.026. Epub 2018 Mar 1. J Proteomics. 2018. PMID: 29501709 Free PMC article.
-
Decellularized extracellular matrix from bovine ovarian tissue maintains the protein composition of the native matrisome.J Proteomics. 2025 Jan 16;311:105347. doi: 10.1016/j.jprot.2024.105347. Epub 2024 Nov 7. J Proteomics. 2025. PMID: 39521401
-
Comparison of extracellular matrix enrichment protocols for the improved characterization of the skin matrisome by mass spectrometry.J Proteomics. 2022 Jan 16;251:104397. doi: 10.1016/j.jprot.2021.104397. Epub 2021 Oct 20. J Proteomics. 2022. PMID: 34678517
-
Degradomics technologies in matrisome exploration.Matrix Biol. 2022 Dec;114:1-17. doi: 10.1016/j.matbio.2022.10.003. Epub 2022 Oct 22. Matrix Biol. 2022. PMID: 36280126 Review.
-
Proteomics, Glycomics, and Glycoproteomics of Matrisome Molecules.Mol Cell Proteomics. 2019 Nov;18(11):2138-2148. doi: 10.1074/mcp.R119.001543. Epub 2019 Aug 30. Mol Cell Proteomics. 2019. PMID: 31471497 Free PMC article. Review.
Cited by
-
Advances in Extracellular Matrix-Associated Diagnostics and Therapeutics.J Clin Med. 2025 Mar 10;14(6):1856. doi: 10.3390/jcm14061856. J Clin Med. 2025. PMID: 40142664 Free PMC article. Review.
References
REFERENCES
-
- Frantz, C., Stewart, K. M., & Weaver, V. M. (2010). The extracellular matrix at a glance. Journal of Cell Science, 123, 4195–4200.
-
- Theocharis, A. D., Manou, D., & Karamanos, N. K. (2019). The extracellular matrix as a multitasking player in disease. Febs Journal, 286, 2830–2869.
-
- Shao, X., Gomez, C. D., Kapoor, N., Considine, J. M., Grams, C., Gao, Y. T., & Naba, A. (2023). Matrisome DB 2.0: 2023 updates to the ECM‐protein knowledge database. Nucleic Acids Research, 51, D1519–D1530.
-
- Mavrogeorgis, E., Mischak, H., Latosinska, A., Vlahou, A., Schanstra, J. P., Siwy, J., Jankowski, V., Beige, J., & Jankowski, J. (2021). Collagen‐derived peptides in CKD: A link to fibrosis. Toxins, 14, 10.
-
- Makridakis, M., & Vlahou, A. (2018). GeLC‐MS: A sample preparation method for proteomics analysis of minimal amount of tissue. Methods in Molecular Biology Clifton NJ, 1788, 165–175.
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources