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Nature. 2021 Feb;590(7847):635-641. doi: 10.1038/s41586-020-03148-w. Epub 2021 Jan 11.
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SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data.SoupX 去除了基于液滴的单细胞 RNA 测序数据中的环境 RNA 污染。
Gigascience. 2020 Dec 26;9(12). doi: 10.1093/gigascience/giaa151.
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A molecular cell atlas of the human lung from single-cell RNA sequencing.人类肺部单细胞 RNA 测序的分子细胞图谱。
Nature. 2020 Nov;587(7835):619-625. doi: 10.1038/s41586-020-2922-4. Epub 2020 Nov 18.
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Human and Mouse Transcriptome Profiling Identifies Cross-Species Homology in Pulmonary and Lymph Node Mononuclear Phagocytes.人类和小鼠转录组分析鉴定肺和淋巴结单核吞噬细胞中的跨物种同源性。
Cell Rep. 2020 Nov 3;33(5):108337. doi: 10.1016/j.celrep.2020.108337.
6
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Single-cell RNA sequencing reveals profibrotic roles of distinct epithelial and mesenchymal lineages in pulmonary fibrosis.单细胞 RNA 测序揭示了肺纤维化中不同上皮和间充质谱系的促纤维化作用。
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健康志愿者 BAL 液中新型表达 MIP-1 的巨噬细胞亚型。

A Novel MIP-1-Expressing Macrophage Subtype in BAL Fluid from Healthy Volunteers.

机构信息

Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois and.

Department of Internal Medicine, Section of Rheumatology, Allergy, and Immunology, Yale School of Medicine, New Haven, Connecticut.

出版信息

Am J Respir Cell Mol Biol. 2023 Feb;68(2):176-185. doi: 10.1165/rcmb.2021-0123OC.

DOI:10.1165/rcmb.2021-0123OC
PMID:36174229
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9986555/
Abstract

Tissue availability remains an important limitation of single-cell genomic technologies for investigating cellular heterogeneity in human health and disease. BAL represents a minimally invasive approach to assessing an individual's lung cellular environment for diagnosis and research. However, the lack of high-quality, healthy lung reference data is a major obstacle to using single-cell approaches to study a plethora of lung diseases. Here, we performed single-cell RNA sequencing on over 40,000 cells isolated from the BAL of four healthy volunteers. Of the six cell types or lineages we identified, macrophages were consistently the most numerous across individuals. Our analysis confirmed the expression of marker genes defining cell types despite background signals because of the ambient RNA found in many single-cell studies. We assessed the variability of gene expression across macrophages and defined a distinct subpopulation of cells expressing a set of genes associated with Macrophage Inflammatory Protein 1 (MIP-1). RNA hybridization and reanalysis of published lung single-cell data validated the presence of this macrophage subpopulation. Thus, our study characterizes lung macrophage heterogeneity in healthy individuals and provides a valuable resource for future studies to understand the lung environment in health and disease.

摘要

组织可用性仍然是单细胞基因组技术在研究人类健康和疾病中的细胞异质性的一个重要限制。BAL 代表了一种评估个体肺部细胞环境的微创方法,用于诊断和研究。然而,缺乏高质量、健康的肺部参考数据是利用单细胞方法研究众多肺部疾病的主要障碍。在这里,我们对来自四个健康志愿者的 BAL 中分离出的超过 40000 个细胞进行了单细胞 RNA 测序。在我们鉴定的六种细胞类型或谱系中,巨噬细胞在个体间始终是数量最多的。我们的分析证实了标记基因的表达,尽管存在背景信号,但由于许多单细胞研究中存在环境 RNA,因此可以定义细胞类型。我们评估了巨噬细胞中基因表达的可变性,并定义了一个表达与巨噬细胞炎症蛋白 1(MIP-1)相关的一组基因的细胞亚群。RNA 杂交和对已发表的肺部单细胞数据的重新分析验证了这种巨噬细胞亚群的存在。因此,我们的研究描述了健康个体肺部巨噬细胞的异质性,并为未来的研究提供了有价值的资源,以了解健康和疾病中的肺部环境。