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Proteomics as a tool to gain next level insights into photo-crosslinkable biopolymer modifications
The distribution of photo-crosslinkable moieties onto a protein backbone can affect a biomaterial's crosslinking behavior, and therefore also its mechanical and biological properties. A profound insight in this respect is essential for biomaterials exploited in tissue engineering and regenerati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965084/ https://www.ncbi.nlm.nih.gov/pubmed/35386456 http://dx.doi.org/10.1016/j.bioactmat.2022.01.023 |
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author | Pien, Nele Bray, Fabrice Gheysens, Tom Tytgat, Liesbeth Rolando, Christian Mantovani, Diego Dubruel, Peter Vlierberghe, Sandra Van |
author_facet | Pien, Nele Bray, Fabrice Gheysens, Tom Tytgat, Liesbeth Rolando, Christian Mantovani, Diego Dubruel, Peter Vlierberghe, Sandra Van |
author_sort | Pien, Nele |
collection | PubMed |
description | The distribution of photo-crosslinkable moieties onto a protein backbone can affect a biomaterial's crosslinking behavior, and therefore also its mechanical and biological properties. A profound insight in this respect is essential for biomaterials exploited in tissue engineering and regenerative medicine. In the present work, photo-crosslinkable moieties have been introduced on the primary amine groups of: (i) a recombinant collagen peptide (RCPhC1) with a known amino acid (AA) sequence, and (ii) bovine skin collagen (COL BS) with an unknown AA sequence. The degree of substitution (DS) was quantified with two conventional techniques: an ortho-phthalic dialdehyde (OPA) assay and (1)H NMR spectroscopy. However, neither of both provides information on the exact type and location of the modified AAs. Therefore, for the first time, proteomic analysis was evaluated herein as a tool to identify functionalized AAs as well as the exact position of photo-crosslinkable moieties along the AA sequence, thereby enabling an in-depth, unprecedented characterization of functionalized photo-crosslinkable biopolymers. Moreover, our strategy enabled to visualize the spatial distribution of the modifications within the overall structure of the protein. Proteomics has proven to provide unprecedented insight in the distribution of photo-crosslinkable moieties along the protein backbone, undoubtedly contributing to superior functional biomaterial design to serve regenerative medicine. |
format | Online Article Text |
id | pubmed-8965084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-89650842022-04-05 Proteomics as a tool to gain next level insights into photo-crosslinkable biopolymer modifications Pien, Nele Bray, Fabrice Gheysens, Tom Tytgat, Liesbeth Rolando, Christian Mantovani, Diego Dubruel, Peter Vlierberghe, Sandra Van Bioact Mater Article The distribution of photo-crosslinkable moieties onto a protein backbone can affect a biomaterial's crosslinking behavior, and therefore also its mechanical and biological properties. A profound insight in this respect is essential for biomaterials exploited in tissue engineering and regenerative medicine. In the present work, photo-crosslinkable moieties have been introduced on the primary amine groups of: (i) a recombinant collagen peptide (RCPhC1) with a known amino acid (AA) sequence, and (ii) bovine skin collagen (COL BS) with an unknown AA sequence. The degree of substitution (DS) was quantified with two conventional techniques: an ortho-phthalic dialdehyde (OPA) assay and (1)H NMR spectroscopy. However, neither of both provides information on the exact type and location of the modified AAs. Therefore, for the first time, proteomic analysis was evaluated herein as a tool to identify functionalized AAs as well as the exact position of photo-crosslinkable moieties along the AA sequence, thereby enabling an in-depth, unprecedented characterization of functionalized photo-crosslinkable biopolymers. Moreover, our strategy enabled to visualize the spatial distribution of the modifications within the overall structure of the protein. Proteomics has proven to provide unprecedented insight in the distribution of photo-crosslinkable moieties along the protein backbone, undoubtedly contributing to superior functional biomaterial design to serve regenerative medicine. KeAi Publishing 2022-01-23 /pmc/articles/PMC8965084/ /pubmed/35386456 http://dx.doi.org/10.1016/j.bioactmat.2022.01.023 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Pien, Nele Bray, Fabrice Gheysens, Tom Tytgat, Liesbeth Rolando, Christian Mantovani, Diego Dubruel, Peter Vlierberghe, Sandra Van Proteomics as a tool to gain next level insights into photo-crosslinkable biopolymer modifications |
title | Proteomics as a tool to gain next level insights into photo-crosslinkable biopolymer modifications |
title_full | Proteomics as a tool to gain next level insights into photo-crosslinkable biopolymer modifications |
title_fullStr | Proteomics as a tool to gain next level insights into photo-crosslinkable biopolymer modifications |
title_full_unstemmed | Proteomics as a tool to gain next level insights into photo-crosslinkable biopolymer modifications |
title_short | Proteomics as a tool to gain next level insights into photo-crosslinkable biopolymer modifications |
title_sort | proteomics as a tool to gain next level insights into photo-crosslinkable biopolymer modifications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965084/ https://www.ncbi.nlm.nih.gov/pubmed/35386456 http://dx.doi.org/10.1016/j.bioactmat.2022.01.023 |
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