Journal Article

DKFZ-2023-00923

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Single-cell RNA sequencing of mouse lower respiratory tract epithelial cells: A meta-analysis.

Galveias Casquinha Pires Martins, L.DKFZ* ; Glimm, H.DKFZ* ; Scholl, C. (Last author)DKFZ*

2023
Elsevier Amsterdam

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Please use a persistent id in citations: doi:10.1016/j.cdev.2023.203847

Abstract: The respiratory system is a vital component of our body, essential for both oxygen uptake and immune defense. Knowledge of cellular composition and function in different parts of the respiratory tract provides the basis for a better understanding of the pathological processes involved in various diseases such as chronic respiratory diseases and cancer. Single-cell RNA sequencing (scRNA-seq) is a proficient approach for the identification and transcriptional characterization of cellular phenotypes. Although the mouse is an essential tool for the study of lung development, regeneration, and disease, a scRNA-seq mouse atlas of the lung in which all epithelial cell types are included and annotated systematically is lacking. Here, we established a single-cell transcriptome landscape of the mouse lower respiratory tract by performing a meta-analysis of seven different studies in which mouse lungs and trachea were analyzed by droplet and/or plate-based scRNA-seq technologies. We provide information on the best markers for each epithelial cell type, propose surface markers for the isolation of viable cells, harmonized the annotation of cell types, and compare the mouse single-cell transcriptomes with human scRNA-seq data of the lung.

Keyword(s): Epithelial cells ; Lung ; Mouse ; Respiratory tract ; Single-cell RNA sequencing ; Trachea

Note: #EA:B290#LA:B290# / 2023 Jun;174:203847

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Contributing Institute(s):

1. Angewandte Funktionelle Genomik (B290)
2. DKTK DD zentral (DD01)
3. B280 Translationale funktionelle Krebsgenomik (B280)

Research Program(s):

1. 312 - Funktionelle und strukturelle Genomforschung (POF4-312) (POF4-312)

Appears in the scientific report 2023

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record

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