Using single-cell RNA sequencing to unravel cell lineage relationships in the respiratory tract.


Journal

Biochemical Society transactions
ISSN: 1470-8752
Titre abrégé: Biochem Soc Trans
Pays: England
ID NLM: 7506897

Informations de publication

Date de publication:
28 02 2020
Historique:
received: 30 10 2019
revised: 18 12 2019
accepted: 19 12 2019
pubmed: 11 1 2020
medline: 9 4 2020
entrez: 11 1 2020
Statut: ppublish

Résumé

The respiratory tract is lined by a pseudo-stratified epithelium from the nose to terminal bronchioles. This first line of defense of the lung against external stress includes five main cell types: basal, suprabasal, club, goblet and multiciliated cells, as well as rare cells such as ionocytes, neuroendocrine and tuft/brush cells. At homeostasis, this epithelium self-renews at low rate but is able of fast regeneration upon damage. Airway epithelial cell lineages during regeneration have been investigated in the mouse by genetic labeling, mainly after injuring the epithelium with noxious agents. From these approaches, basal cells have been identified as progenitors of club, goblet and multiciliated cells, but also of ionocytes and neuroendocrine cells. Single-cell RNA sequencing, coupled to lineage inference algorithms, has independently allowed the establishment of comprehensive pictures of cell lineage relationships in both mouse and human. In line with genetic tracing experiments in mouse trachea, studies using single-cell RNA sequencing (RNAseq) have shown that basal cells first differentiate into club cells, which in turn mature into goblet cells or differentiate into multiciliated cells. In the human airway epithelium, single-cell RNAseq has identified novel intermediate populations such as deuterosomal cells, 'hybrid' mucous-multiciliated cells and progenitors of rare cells. Novel differentiation dynamics, such as a transition from goblet to multiciliated cells have also been discovered. The future of cell lineage relationships in the respiratory tract now resides in the combination of genetic labeling approaches with single-cell RNAseq to establish, in a definitive manner, the hallmarks of cellular lineages in normal and pathological situations.

Identifiants

pubmed: 31922198
pii: 221838
doi: 10.1042/BST20191010
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

327-336

Informations de copyright

© 2020 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society.

Auteurs

L E Zaragosi (LE)

Université Côte d'Azur, CNRS, IPMC, Sophia-Antipolis, France.

M Deprez (M)

Université Côte d'Azur, CNRS, IPMC, Sophia-Antipolis, France.

P Barbry (P)

Université Côte d'Azur, CNRS, IPMC, Sophia-Antipolis, France.

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Classifications MeSH