Cell type-specific decomposition of gingival tissue transcriptomes
Research output: Contribution to journal › Article › peer-review
Colleges, School and Institutes
Genome-wide transcriptomic analyses in whole tissues reflect the aggregate gene expression in heterogeneous cell populations comprising resident and migratory cells, and are unable to identify cell type-specific information. We used a computational method (Population-Specific Expression Analysis; PSEA) to decompose gene expression in gingival tissues into cell typespecific signatures for eight cell types (epithelial cells, fibroblasts, endothelial cells, neutrophils, monocytes/macrophages, plasma cells, T cells and B cells). We used a gene expression dataset generated using microarrays from 120 persons (310 tissue samples; 241 periodontitis-affected and 69 healthy). Decomposition of the whole tissue transcriptomes identified differentially expressed genes in each of the cell types, which mapped to biologically relevant pathways including dysregulation of Th17 cell differentiation, AGE-RAGE signaling, and epithelial mesenchymal transition in epithelial cells. We validated selected PSEA-predicted, differentially expressed genes in purified gingival epithelial cells and B cells from an unrelated cohort (n=15 persons), each of whom contributed with one periodontitis-affected and one healthy gingival tissue sample. Differential expression of these genes by qRT-PCR corroborated the PSEA predictions and pointed to dysregulation of biologically important pathways in periodontitis. Collectively, our results demonstrate the robustness of the PSEA in the decomposition of gingival tissue transcriptomes, and its ability to identify differentially regulated transcripts in particular cellular constituents. These genes may serve as candidates for further investigation with respect to their roles in the pathogenesis of periodontitis.
|Journal||Journal of Dental Research|
|Early online date||8 Jan 2021|
|Publication status||E-pub ahead of print - 8 Jan 2021|
- gene expression, periodontal disease(s)/periodontitis, cell biology, dental informatics/bioinformatics, epithelia, immunity