Proteomic characterization of the mucosal pellicle formed in vitro on a cellular model of oral epithelium.


Journal

Journal of proteomics
ISSN: 1876-7737
Titre abrégé: J Proteomics
Pays: Netherlands
ID NLM: 101475056

Informations de publication

Date de publication:
30 06 2020
Historique:
received: 24 01 2020
revised: 19 03 2020
accepted: 25 04 2020
pubmed: 4 5 2020
medline: 22 6 2021
entrez: 4 5 2020
Statut: ppublish

Résumé

The oral mucosal pellicle is a thin lubricating layer generated by the binding of saliva proteins on epithelial oral cells. The protein composition of this biological structure has been to date studied by targeted analyses of specific salivary proteins. In order to perform a more exhaustive proteome characterization of pellicles, we used TR146 cells expressing or not the transmembrane mucin MUC1 and generated pellicles by incubation with human saliva and washing to remove unbound proteins. A suitable method was established for the in vitro isolation of the mucosal pellicle by "shaving" it from the cells using trypsin. The extracts, the washing solutions and the saliva used to constitute the pellicles were analyzed by LC MS/MS (data are available via ProteomeXchange with identifier PXD017268). Comparison of pellicle and saliva compositions evidenced the adsorption of proteins not previously reported as pellicle constituents such as proteins of the PLUNC family. Pellicles formed on TR146 and TR146/MUC1 were also analyzed and compared by protein label-free quantification. The two types of samples appeared as distinct clusters in multivariate analyses, but the discriminant proteins (Welch test p < .05, FDR < 0.1) were cellular rather than salivary proteins. SIGNIFICANCE: The oral mucosal pellicle is made of salivary proteins tightly bound to oral epithelial cells. It is essential to oral health, with biological functions depending largely on its protein constituents. Characterizing its proteome is difficult due to the intimate association of this protein layer to cell membranes. In this work, we report a trypsin "shaving" protocol which enabled to sample the pellicle formed on an in vitro cellular model of oral epithelium. Analyzing such samples by high-resolution mass spectrometry provided novel information on the mucosal pellicle composition. This work is therefore a good starting point for further characterization of this biological structure.

Identifiants

pubmed: 32360370
pii: S1874-3919(20)30165-2
doi: 10.1016/j.jprot.2020.103797
pii:
doi:

Substances chimiques

Salivary Proteins and Peptides 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

103797

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Gianluigi Cabiddu (G)

Department of Life and Environmental Sciences, University of Cagliari, Italy. Electronic address: cabgianluigi@gmail.com.

Pauline Maes (P)

CLIPP (Clinical Innovation Proteomic Platform), Pôle de Recherche Université de Bourgogne Franche-Comté, F-21000 Dijon, France.

Franck Hyvrier (F)

CLIPP (Clinical Innovation Proteomic Platform), Pôle de Recherche Université de Bourgogne Franche-Comté, F-21000 Dijon, France.

Alessandra Olianas (A)

Department of Life and Environmental Sciences, University of Cagliari, Italy.

Barbara Manconi (B)

Department of Life and Environmental Sciences, University of Cagliari, Italy.

Hélène Brignot (H)

Centre des Sciences du Goût et de l'Alimentation, (CSGA) AgroSup Dijon, CNRS, INRAE, Université de Bourgogne Franche-Comté, F-21000 Dijon, France.

Francis Canon (F)

Centre des Sciences du Goût et de l'Alimentation, (CSGA) AgroSup Dijon, CNRS, INRAE, Université de Bourgogne Franche-Comté, F-21000 Dijon, France.

Tiziana Cabras (T)

Department of Life and Environmental Sciences, University of Cagliari, Italy.

Martine Morzel (M)

Centre des Sciences du Goût et de l'Alimentation, (CSGA) AgroSup Dijon, CNRS, INRAE, Université de Bourgogne Franche-Comté, F-21000 Dijon, France; Sciences et Technologie du Lait et de l'Oeuf (STLO), Agrocampus Ouest, INRAE, F-35042 Rennes, France.

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Classifications MeSH