<p dir="ltr">This dataset supports the findings presented in the manuscript titled <i>“Exosomal miRNA–mRNA Interactions from Oral Fibroblasts Reflect MSC-Related Regenerative Profiles: Insights from Integrated Transcriptomic Analysis.”</i><br>We performed RNA-seq, miRNA-seq, and small RNA-seq analyses on exosomes derived from three types of oral fibroblasts, dental pulp fibroblasts (DPF), gingival fibroblasts (GF), and periodontal ligament fibroblasts (PDLF), as well as RNA-seq of the corresponding cultured cells. These cells were isolated from the same extracted third molars of healthy donors.</p><p dir="ltr">The uploaded files include:</p><ul><li>Raw read count matrix from cell RNA-seq</li><li>Quantified and normalized datasets from exosomal RNA-seq, miRNA-seq, and small RNA-seq</li><li>Differential expression results and filtered gene lists</li></ul><p dir="ltr">All exosomes were isolated from conditioned media of early-passage fibroblasts, without MSC purification. The aim was to assess the regenerative potential of fibroblast-derived exosomes and identify miRNA–mRNA regulatory axes associated with stemness, differentiation, and immune modulation.</p><p dir="ltr">The data are intended to provide a resource for further studies on cell-free regenerative therapies and miRNA-based signaling in oral tissue-derived exosomes. All data were analyzed using standard bioinformatics pipelines (DESeq2, edgeR, iDEP, and R version 4.2.0). Filenames are described consistently across the manuscript and figure legends.</p>
Funding
Preparation of pulp-induced artificial ligament by applying periodontal ligament culture supernatant and epigenome modification technology