In-bone protein digestion followed by LC-MS/MS peptide analysis as a new way towards the routine proteomic characterization of human maxillary and mandibular bone tissue in oral surgery

0545929 - ÚOCHB 2022 RIV DE eng J - Článek v odborném periodiku
Hynek, R. - Michalus, I. - Cejnar, P. - Šantrůček, J. - Seidlová, S. - Kučková, Š. - Sázelová, Petra - Kašička, Václav
In-bone protein digestion followed by LC-MS/MS peptide analysis as a new way towards the routine proteomic characterization of human maxillary and mandibular bone tissue in oral surgery.
Electrophoresis. Roč. 42, č. 23 (2021), s. 2552-2562. ISSN 0173-0835. E-ISSN 1522-2683
Grant CEP: GA ČR(CZ) GA18-02597S
Institucionální podpora: RVO:61388963
Klíčová slova: in-bone protein digestion * LC-MS/MS * mandibular bone * maxillary bone * oral surgery * peptide mapping
Obor OECD: Analytical chemistry
Impakt faktor: 3.595, rok: 2021
Způsob publikování: Omezený přístup
https://doi.org/10.1002/elps.202100211

Proteomic characterization of alveolar bones in oral surgery represents an analytical challenge due to their insoluble character. The implementation of a straightforward technique could lead to the routine use of proteomics in this field. This work thus developed a simple technique for the characterization of bone tissue for human maxillary and mandibular bones. It is based on the direct in-bone tryptic digestion of proteins in both healthy and pathological human maxillary and mandibular bone samples. The released peptides were then identified by the LC-MS/MS. Using this approach, a total of 1120 proteins were identified in the maxillary bone and 1151 proteins in the mandibular bone. The subsequent partial least squares–discrimination analysis (PLS-DA) of protein data made it possible to reach 100% discrimination between the samples of healthy alveolar bones and those of the bone tissue surrounding the inflammatory focus. These results indicate that the in-bone protein digestion followed by the LC-MS/MS and subsequent statistical analysis can provide a deeper insight into the field of oral surgery at the molecular level. Furthermore, it could also have a diagnostic potential in the differentiation between the proteomic patterns of healthy and pathological alveolar bone tissue. Data are available via ProteomeXchange with the identifier PXD026775.
Trvalý link: http://hdl.handle.net/11104/0322537