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The differential immune responses to COVID-19 in peripheral and lung revealed by single-cell RNA sequencing

机译:单细胞RNA测序显示外周和肺中Covid-19的差异免疫应答

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摘要

a The cartoon outlines the study design. PBMC and BALF cells from COVID-19 patients and healthy controls were collected for scRNA-seq characterization using the 10× Genomics platform. The number of samples, analyzed cells, and samples with PBMC and BALF cells simultaneously collected from the same patient are indicated. HC, healthy controls; Mild, mild patients; Severe, severe patients. b The UMAP projection of the combined PBMC scRNA-seq dataset identifies nine major cell types. PC, plasma cells. c The specific markers for identifying each immune cell types in b are indicated. (Pct.Exp. indicates percentage of cells expressed). d Density plots show the UMAP projection of PBMCs from COVID-19 patients and controls. e The bar plot shows the proportions of each cell types in PBMCs from individual subjects. The cell numbers and ratios of monocyte/T cells are listed to the right side. f Comparisons of percentages of each cell types in PBMCs (cycling cells were re-clustered into T and PC subsets) between the two COVID-19 groups and controls (two-sided Student’s t-test, *P < 0.05, **P < 0.01, ***P < 0.001. H, healthy controls; M, mild patients; S, severe patients.
机译:卡通概述了研究设计。使用10×基因组学平台收集来自Covid-19患者的PBMC和BALF细胞和健康对照的SCRNA-SEQ表征。表示样品的数量,分析的细胞和来自来自同一患者同时收集的PBMC和BALF细胞的样品。 HC,健康控制;轻度,轻度患者;严重,严重的患者。 b组合的PBMC ScrNA-SEQ数据集的UMAP投影识别九种主要单元格类型。 PC,血浆细胞。 C表明了用于鉴定B中的每个免疫细胞类型的特异性标记。 (pct.exp。表示表达的细胞百分比)。 D密度图显示了来自Covid-19患者和对照的PBMC的UMAP投影。 e条形图显示了来自个体受试者的PBMC中的每个细胞类型的比例。单核细胞/ T细胞的细胞数和比率列于右侧。 F比较PBMC中的每种细胞类型(循环细胞重新聚集到T和PC子集中)两种Covid-19组和对照组(双面学生的T检验,* P <0.05,** P <) 0.01,*** P <0.001。H,健康对照; M,轻度患者; S,严重患者。

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