Single-cell analysis of nasal epithelial cell development in domestic pigs.
Nasal epithelial cells
ScRNA-seq
cross-species comparison
respiratory virus receptors
Journal
Veterinary research
ISSN: 1297-9716
Titre abrégé: Vet Res
Pays: England
ID NLM: 9309551
Informations de publication
Date de publication:
30 Oct 2024
30 Oct 2024
Historique:
received:
26
04
2024
accepted:
28
08
2024
medline:
31
10
2024
pubmed:
31
10
2024
entrez:
31
10
2024
Statut:
epublish
Résumé
The nasal mucosa forms a critical barrier against the invasion of respiratory pathogens. Composed of a heterogeneous assortment of cell types, the nasal mucosa relies on the unique characteristics and complex intercellular dynamics of these cells to maintain their structural integrity and functional efficacy. In this study, single-cell RNA sequencing (scRNA-seq) of porcine nasal mucosa was performed, and nineteen distinct nasal cell types, including nine epithelial cell types, five stromal cell types, and five immune cell types, were identified. The distribution patterns of three representative types of epithelial cells (basal cells, goblet cells, and ciliated cells) were subsequently detected by immunofluorescence. We conducted a comparative analysis of these data with published human single-cell data, revealing consistent differentiation trajectories among porcine and human nasal epithelial cells. Specifically, basal cells serve as the initial stage in the differentiation process of nasal epithelial cells, which then epithelial cells. This research not only enhances our understanding of the composition and transcriptional signature of porcine nasal mucosal cells but also offers a theoretical foundation for developing alternative models for human respiratory diseases.
Identifiants
pubmed: 39478588
doi: 10.1186/s13567-024-01403-w
pii: 10.1186/s13567-024-01403-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
140Subventions
Organisme : National Natural Science Foundation of China
ID : 31930109
Organisme : Natural Science Foundation of Jiangsu Province
ID : BK20200536
Informations de copyright
© 2024. The Author(s).
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