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单细胞 RNA 测序分析小鼠下呼吸道上皮细胞:一项荟萃分析。

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

机构信息

Division of Applied Functional Genomics, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany.

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; Translational Functional Cancer Genomics, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), Dresden, Germany.

出版信息

Cells Dev. 2023 Jun;174:203847. doi: 10.1016/j.cdev.2023.203847. Epub 2023 May 3.

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.

摘要

呼吸系统是人体的重要组成部分,对于氧气摄取和免疫防御至关重要。了解呼吸道不同部位的细胞组成和功能,为更好地理解各种疾病(如慢性呼吸道疾病和癌症)中的病理过程提供了基础。单细胞 RNA 测序(scRNA-seq)是识别和转录特征分析细胞表型的有效方法。尽管小鼠是研究肺发育、再生和疾病的重要工具,但缺乏包含和系统注释所有上皮细胞类型的 scRNA-seq 小鼠肺图谱。在这里,我们通过对 7 项不同研究进行荟萃分析,对小鼠下呼吸道的单细胞转录组图谱进行了建立,其中对小鼠肺和气管进行了基于液滴和/或板的 scRNA-seq 技术分析。我们提供了每种上皮细胞类型的最佳标记物信息,提出了用于分离活细胞的表面标记物,协调了细胞类型的注释,并比较了小鼠单细胞转录组与人类肺 scRNA-seq 数据。

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