| Literature DB >> 31881116 |
Kai Bao1, Xiaofei Li2, Tetsuhiro Kajikawa2, Abe Toshiharu2, Nathalie Selevsek3, Jonas Grossmann4, George Hajishengallis2, Nagihan Bostanci1.
Abstract
Understanding the progression of periodontal tissue destruction is at the forefront of periodontal research. The authors aimed to capture the dynamics of gingival tissue proteome during the initiation and progression of experimental (ligature-induced) periodontitis in mice. Pressure cycling technology (PCT), a recently developed platform that uses ultra-high pressure to disrupt tissues, is utilized to achieve efficient and reproducible protein extraction from ultra-small amounts of gingival tissues in combination with liquid chromatography-tandem mass spectrometry (MS). The MS data are processed using Progenesis QI and the regulated proteins are subjected to METACORE, STRING, and WebGestalt for functional enrichment analysis. A total of 1614 proteins with ≥2 peptides are quantified with an estimated protein false discovery rate of 0.06%. Unsupervised clustering analysis shows that the gingival tissue protein abundance is mainly dependent on the periodontitis progression stage. Gene ontology enrichment analysis reveals an overrepresentation in innate immune regulation (e.g., neutrophil-mediated immunity and antimicrobial peptides), signal transduction (e.g., integrin signaling), and homeostasis processes (e.g., platelet activation and aggregation). In conclusion, a PCT-assisted label-free quantitative proteomics workflow that allowed cataloging the deepest gingival tissue proteome on a rapid timescale and provided novel mechanistic insights into host perturbation during periodontitis progression is applied.Entities:
Keywords: experimental periodontitis; gingival inflammation; gingival tissue; label-free quantitation; pressure cycling technology; proteome
Year: 2020 PMID: 31881116 PMCID: PMC7033018 DOI: 10.1002/pmic.201900253
Source DB: PubMed Journal: Proteomics ISSN: 1615-9853 Impact factor: 3.984