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Single-cell RNA sequencing of mouse lower respiratory tract epithelial cells: A meta-analysis.
Martins, Leila R; Glimm, Hanno; Scholl, Claudia.
Afiliação
  • Martins LR; Division of Applied Functional Genomics, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany. Electronic address: leila.martins@nct-heidelberg.de.
  • Glimm H; Department for Translational Medical Oncology, National Center for Tumor Diseases (NCT/UCC), Dresden, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany; Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Transla
  • Scholl C; Division of Applied Functional Genomics, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany. Electronic address: claudia.scholl@nct-heidelberg.de.
Cells Dev ; 174: 203847, 2023 06.
Article em En | MEDLINE | ID: mdl-37146757
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Systematic_reviews Limite: Animals / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Systematic_reviews Limite: Animals / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article