Mapping Small Extracellular Vesicle Secretion Potential in Healthy Human Gingiva Using Spatial Transcriptomics
Blanka Maria Borowiec, Małgorzata Blatkiewicz, Marta Dyszkiewicz-Konwińska, Dorota Bukowska, Bartosz Kempisty, Marcin Ruciński, Michał Nowicki, Joanna Budna-Tukan

TL;DR
This study uses spatial transcriptomics to explore how small extracellular vesicles are produced in healthy human gum tissue, revealing new insights into tissue regeneration.
Contribution
The first meta-analysis of gingival transcriptomic data focused on small extracellular vesicle biogenesis.
Findings
Gene clusters related to extracellular vesicle biogenesis were identified in the sulcular epithelium of the gingiva.
MUC1, SDCBP2, and VPS37B showed the highest expression in the superficial layer of the sulcular epithelium.
Known sEV markers like CD9 and CD63 were expressed in the tissue but not exclusively in the sulcular epithelium.
Abstract
Regenerative processes occur at various levels in all organisms, yet their complexity continues to raise new questions about their mechanisms. It has been demonstrated that small extracellular vesicles (sEVs), secreted by all cells and influencing their function, play a significant role in regeneration. In the context of regenerative processes, oral mucosal tissues consistently receive interest, as they are among the most rapidly healing tissues in the human body. In this study, we utilized spatial transcriptomics to map gene expression to specific spatial locations within the gingiva tissue section, using publicly available transcriptomic data. This analysis revealed new insights into this tissue and the biogenesis of sEVs within it. The identified clusters encompassed two main regions—the epithelium and lamina propria—as well as minor niches within them. Using Gene Ontology (GO)…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsExtracellular vesicles in disease · MicroRNA in disease regulation · Cancer-related molecular mechanisms research
