Objectives:To establish the data independent acquisition (DIA) proteomic method for dental stem cells.Methods:Dental pulp stem cells (DPSC), mesenchymal stem cells derived from gingiva (GMSC), periodontal ligament stem cells (PDLSC), stem cells from apical papilla (SCAP), and stem cells from human exfoliated deciduous teeth (SHED) from different individuals were collected from August 2021 to September 2022 in Suzhou Stomatological Hospital. A total of 15 samples with 3 in each type were used for the DIA detection and analysis. The results of protein identification were evaluated by unique peptide distribution, protein coverage distribution, and protein mass distribution. Intra-group coefficient of variation (CV), principal component analysis (PCA), and Pearson correlation coefficient of all protein expressions were used to evaluate DIA data quality.Results:The results showed that the protein samples extracted from cells were qualified for DIA LC-MS analysis, and 8 662 proteins were identified in the total samples. The differential protein analysis showed that the upregulated and downregulated proteins between the DSPC group and other groups (DPSC vs GMSC, DPSC vs PDLSC, DPSC vs SCAP, and DPSC vs SHED) were 125, 168, 100, 102 and 106, 107, 94, 107, respectively. Heatmap of the differential proteins indicated that the other four dental stem cells had different protein profiles that were highly expressed compared to DPSC. The analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) showed that proteins from different dental stem cells were enriched in different signaling pathways.Conclusions:We successfully established the DIA proteomics analysis method of different dental stem cells, which laid the foundation for future research.
万方数据
