Marie Deprez1,2, Laure-Emmanuelle Zaragosi1,2, Marin Truchi1,2, Christophe Becavin1,2, Sandra Ruiz García1,2, Marie-Jeanne Arguel1,2, Magali Plaisant1,2, Virginie Magnone1,2, Kevin Lebrigand2, Sophie Abelanet1,2, Frédéric Brau1,2, Agnès Paquet1,3, Dana Pe'er4, Charles-Hugo Marquette5,6,7,8, Sylvie Leroy5,2,9, Pascal Barbry1,10. 1. Université Côte d'Azur, 439710, Institut de Pharmacologie Moléculaire et Cellulaire, Sophia Antipolis, France. 2. Centre National de la Recherche Scientifique, 27051, Institut de Pharmacologie Moléculaire et Cellulaire, Sophia Antipolis, France. 3. Centre National de la Recherche Scientifique, 27051, Sophia Antipolis, France. 4. Memorial Sloan Kettering Cancer Center, 5803, Program for Computational and Systems Biology, Sloan Kettering Institute, New York, New York, United States. 5. Université Côte d'Azur, 439710, Nice University Hospital, Nice, France. 6. Université Côte d'Azur, 439710, FHU Oncoage, Nice, France. 7. CNRS, 27051, IRCAN, Nice, France. 8. INSERM, 27102, IRCAN, Nice, France. 9. Université Côte d'Azur, 439710, FHU OncoAge, Nice, France. 10. Centre National de la Recherche Scientifique, 27051, Institut de Pharmacologie Moléculaire et Cellulaire, Sophia Antipolis, France; barbry@ipmc.cnrs.fr.
Abstract
Rationale: The respiratory tract constitutes an elaborated line of defense that is based on a unique cellular ecosystem. Single-cell profiling methods enable the investigation of cell population distributions and transcriptional changes along the airways. Methods: We have explored the cellular heterogeneity of the human airway epithelium in 10 healthy living volunteers by single-cell RNA profiling. 77,969 cells were collected at 35 distinct locations, from the nose to the 12th division of the airway tree. Results: The resulting atlas is composed of a high percentage of epithelial cells (89.1%), but also immune (6.2%) and stromal (4.7%) cells with distinct cellular proportions in different regions of the airways. It reveals differential gene expression between identical cell types (suprabasal, secretory, and multiciliated cells) from the nose (MUC4, PI3, SIX3) and tracheobronchial (SCGB1A1, TFF3) airways. By contrast, cell-type specific gene expression is stable across all tracheobronchial samples. Our atlas improves the description of ionocytes, pulmonary neuro-endocrine (PNEC) and brush cells, and identifies a related population of NREP-positive cells. We also report the association of KRT13 with dividing cells that are reminiscent of previously described mouse "hillock" cells, and with squamous cells expressing SCEL, SPRR1A/B. Conclusions: Robust characterization of a single-cell cohort in healthy airways establishes a valuable resource for future investigations. The precise description of the continuum existing from the nasal epithelium to successive divisions of the airways and the stable gene expression profile of these regions better defines conditions under which relevant tracheobronchial proxies of human respiratory diseases can be developed.
Rationale: The respiratory tract constitutes an elaborated line of defense that is based on a unique cellular ecosystem. Single-cell profiling methods enable the investigation of cell population distributions and transcriptional changes along the airways. Methods: We have explored the cellular heterogeneity of the human airway epithelium in 10 healthy living volunteers by single-cell RNA profiling. 77,969 cells were collected at 35 distinct locations, from the nose to the 12th division of the airway tree. Results: The resulting atlas is composed of a high percentage of epithelial cells (89.1%), but also immune (6.2%) and stromal (4.7%) cells with distinct cellular proportions in different regions of the airways. It reveals differential gene expression between identical cell types (suprabasal, secretory, and multiciliated cells) from the nose (MUC4, PI3, SIX3) and tracheobronchial (SCGB1A1, TFF3) airways. By contrast, cell-type specific gene expression is stable across all tracheobronchial samples. Our atlas improves the description of ionocytes, pulmonary neuro-endocrine (PNEC) and brush cells, and identifies a related population of NREP-positive cells. We also report the association of KRT13 with dividing cells that are reminiscent of previously described mouse "hillock" cells, and with squamous cells expressing SCEL, SPRR1A/B. Conclusions: Robust characterization of a single-cell cohort in healthy airways establishes a valuable resource for future investigations. The precise description of the continuum existing from the nasal epithelium to successive divisions of the airways and the stable gene expression profile of these regions better defines conditions under which relevant tracheobronchial proxies of humanrespiratory diseases can be developed.
Entities:
Keywords:
Single-cell RNAseq; biopsies; bronchoscopy; brushings; data integration
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