HCA Data Explorer

A Single-Cell Atlas of the Human Healthy Airways

Updated November 8, 2023

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.

Pascal BarbryUniversité Côte d’Azur
Marie Deprez1
Laure-Emmanuelle Zaragosi1
Marin Truchi1
Christophe Becavin1
Sandra Ruiz García1
Marie-Jeanne Arguel1
Magali Plaisant1
Virginie Magnone1
Kevin Lebrigand1
Sophie Abelanet1
Frédéric Brau1
Agnès Paquet1
Dana Pe'er2
Charles-Hugo Marquette1
Sylvie Leroy1
Pascal Barbry1
1Université Côte d’Azur
2Memorial Sloan Kettering Cancer Center
Irene Pérez-Díez

To reference this project, please use the following link:

https://explore.data.humancellatlas.dev.clevercanary.com/projects/ef1e3497-515e-4bbe-8d4c-10161854b699

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://github.com/DeprezM/HCA_analysis
EGA Accessions:

Atlas

LungLung v1.0

Analysis Portals

UCSC Cell BrowserUCSC Cell Browser

Project Label

healthyAirwaysAtlas

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

3 anatomical entities

Organ Part

4 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

human adult stage

Library Construction Method

10x 3' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

ap_matrixNormalization, ap_rawMatrixGeneration_hg19, ap_rawMatrixGeneration_hg38

File Format

3 file formats

Cell Count Estimate

78.0k

Donor Count

10
tsv1 file(s)tsv.gz5 file(s)xlsx1 file(s)