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Isolation, Processing and Analysis of Murine Gingival Cells
Published on: July 2, 2013
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Cell Type-Specific Decomposition of Gingival Tissue Transcriptomes
F Momen-Heravi1, R A Friedman2, S Albeshri1
1Division of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences, College of Dental Medicine, New York, NY, USA.
Journal of Dental Research
|January 9, 2021
Summary
This study introduces a computational method (population-specific expression analysis [PSEA]) to analyze gene expression in gingival tissues. PSEA successfully identified cell-specific gene expression changes linked to periodontitis, offering new insights into disease mechanisms.
Area of Science:
- Genomics
- Computational Biology
- Periodontal Research
Background:
- Whole-tissue transcriptomic analysis in periodontitis research aggregates gene expression from diverse cell types, obscuring cell-specific insights.
- Understanding cell type-specific gene expression is crucial for elucidating the pathogenesis of complex diseases like periodontitis.
Purpose of the Study:
- To develop and validate a computational method (population-specific expression analysis [PSEA]) for decomposing whole-tissue gingival transcriptomes into cell type-specific signatures.
- To identify differentially expressed genes and dysregulated pathways in specific cell types within gingival tissues affected by periodontitis.
Main Methods:
- Applied population-specific expression analysis (PSEA) to a microarray gene expression dataset from 310 human gingival tissue samples (periodontitis-affected and healthy).
- Decomposed whole-tissue transcriptomes into signatures for 8 distinct cell types: epithelial cells, fibroblasts, endothelial cells, neutrophils, monocytes/macrophages, plasma cells, T cells, and B cells.
- Validated PSEA predictions by examining differential gene expression in purified gingival epithelial and B cells using quantitative reverse transcription polymerase chain reaction (qRT-PCR).
Main Results:
- PSEA successfully identified cell type-specific differentially expressed genes in periodontitis-affected tissues.
- Dysregulated pathways identified include Th17 cell differentiation, AGE-RAGE signaling, and epithelial-mesenchymal transition in epithelial cells.
- Validation experiments confirmed PSEA predictions, highlighting dysregulated pathways in periodontitis at the cellular level.
Conclusions:
- Population-specific expression analysis (PSEA) is a robust method for decomposing gingival tissue transcriptomes.
- PSEA effectively identifies differentially regulated transcripts in specific cellular constituents of gingival tissue.
- The identified cell-specific genes serve as potential candidates for further investigation into the pathogenesis of periodontitis.
