[Single-cell transcriptome characterization of oral mucosal fibroblasts].

Abstract

Purpose: To elucidate the disparities and similarities in the composition and function of fibroblast subtypes between normal oral mucosa and cutaneous tissue, to establish a unified classification of fibroblast subtypes between these two tissue types, comprehend the differences and similarities in their functionalities, and provide a foundational basis for future applications in the fields of tissue repair and regeneration.

Methods: Four single-cell databases from both oral mucosa and cutaneous tissue were integrated and fibroblast subpopulations were extracted. Batch effects were eliminated using Harmony, and fibroblast subpopulations were subsequently classified via UMAP (Uniform Manifold Approximation and Projection) clustering. The functional analysis of these subpopulations was conducted through gene set enrichment results. Statistical analysis was performed with R 4.2.0 software package.

Results: Eight distinct functional fibroblast subpopulations were defined, and their functions were found to be associated with the composition of the extracellular matrix, immunity, and contraction. Statistical analysis revealed differences in the composition ratios of these subpopulations between oral mucosa and skin tissue.

Conclusions: To evaluate the role of fibroblasts in tissue homeostasis and wound healing accomplished by integrating and analyzing fibroblasts from normal skin and oral mucosal tissue from various sites, this study identifies the differences in fibroblast subpopulation composition and function between these two tissue types in healthy conditions, and provides an understanding of oral mucosa and skin homeostasis and cellular function at the transcriptomic level. The findings of this study may serve as a basis for future research in this area.