Single-cell RNA sequencing of mouse lower respiratory tract epithelial cells: A meta-analysis

IF 3.9 4区 生物学 Q4 Biochemistry, Genetics and Molecular Biology Cells and Development Pub Date : 2023-06-01 DOI:10.1016/j.cdev.2023.203847
Leila R. Martins , Hanno Glimm , Claudia Scholl
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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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小鼠下呼吸道上皮细胞单细胞RNA测序:荟萃分析
呼吸系统是我们身体的重要组成部分,对氧气吸收和免疫防御都至关重要。呼吸道不同部位的细胞组成和功能知识为更好地理解各种疾病(如慢性呼吸道疾病和癌症)的病理过程提供了基础。单细胞RNA测序(scRNA-seq)是鉴定和转录表征细胞表型的一种熟练方法。尽管小鼠是研究肺发育、再生和疾病的重要工具,但缺乏包括所有上皮细胞类型并进行系统注释的肺scRNA-seq小鼠图谱。在这里,我们通过对七项不同研究进行荟萃分析,建立了小鼠下呼吸道的单细胞转录组景观,其中通过基于液滴和/或平板的scRNA-seq技术分析了小鼠的肺和气管。我们提供了每种上皮细胞类型的最佳标记物的信息,提出了分离活细胞的表面标记物,协调了细胞类型的注释,并将小鼠单细胞转录组与肺的人类scRNA-seq数据进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cells and Development
Cells and Development Biochemistry, Genetics and Molecular Biology-Developmental Biology
CiteScore
2.90
自引率
0.00%
发文量
33
审稿时长
41 days
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