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Comprehensive Matrisome Profiling of Human Adipose Tissue for Soft Tissue Reconstruction.

Authors :
Major G
Simcock J
Kumar A
Kleffmann T
Woodfield TBF
Lim KS
Source :
Advanced biology [Adv Biol (Weinh)] 2024 Feb; Vol. 8 (2), pp. e2300448. Date of Electronic Publication: 2023 Nov 12.
Publication Year :
2024

Abstract

For effective translation of research from tissue engineering and regenerative medicine domains, the cell-instructive extracellular matrix (ECM) of specific tissues must be accurately realized. As adipose tissue is gaining traction as a biomaterial for soft tissue reconstruction, with highly variable clinical outcomes obtained, a quantitative investigation of the adipose tissue matrisome is overdue. In this study, the human adipose tissue matrisome is profiled using quantitative sequential windowed acquisition of all theoretical fragment ion spectra - mass spectrometry (SWATH-MS) proteomics across a cohort of 13 fat-grafting patients, to provide characterization of ECM proteins within the tissue, and to understand human population variation. There are considerable differences in the expression of matrisome proteins across the patient cohort, with age and lipoaspirate collection technique contributing to the greatest variation across the core matrisome. A high abundance of basement membrane proteins (collagen IV and heparan sulfate proteoglycan) is detected, as well as fibrillar collagens I and II, reflecting the hierarchical structure of the tissue. This study provides a comprehensive proteomic evaluation of the adipose tissue matrisome and contributes to an enhanced understanding of the influence of the matrisome in adipose-related pathologies by providing a healthy reference cohort and details an experimental pipeline that can be further exploited for future biomaterial development.<br /> (© 2023 The Authors. Advanced Biology published by Wiley-VCH GmbH.)

Details

Language :
English
ISSN :
2701-0198
Volume :
8
Issue :
2
Database :
MEDLINE
Journal :
Advanced biology
Publication Type :
Academic Journal
Accession number :
37953659
Full Text :
https://doi.org/10.1002/adbi.202300448