COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas

作者：Ren, Xianwen; Wen, Wen; Fan, Xiaoying; Hou, Wenhong; Su, Bin; Cai, Pengfei; Li, Jiesheng; Liu, Yang; Tang, Fei; Zhang, Fan; Yang, Yu; He, Jiangping; Ma, Wenji; He, Jingjing; Wang, Pingping; Cao, Qiqi; Chen, Fangjin; Chen, Yuqing; Cheng, Xuelian; Deng, Guohong; Deng, Xilong; Ding, Wenyu; Feng, Yingmei; Gan, Rui; Guo, Chuang; Guo, Weiqiang; He, Shuai; Jiang, Chen; Liang, Juanran; Li, Yi-min; Lin, Jun; Ling, Yun; Liu, Haofei; Liu, Jianwei; Liu, Nianping; Liu, Shu-Qiang; Luo, Meng; Ma, Qiang

来源：Cell, 2021, 184(7): 1895-+.

DOI：10.1016/j.cell.2021.01.053

• MILD
• INFECTION

A dysfunctional immune response in coronavirus disease 2019 (COVID-19) patients is a recurrent theme impacting symptoms and mortality, yet a detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 196 COVID-19 patients and controls and created a comprehensive immune landscape with 1.46 million cells. The large dataset enabled us to identify that different peripheral immune subtype changes are associated with distinct clinical features, including age, sex, severity, and disease stages of COVID-19. Severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) RNA was found in diverse epithelial and immune cell types, accompanied by dramatic transcriptomic changes within virus-positive cells. Systemic upregulation of S100A8/A9, mainly by megakaryocytes and monocytes in the peripheral blood, may contribute to the cytokine storms frequently observed in severe patients. Our data provide a rich resource for understanding the pathogenesis of and developing effective therapeutic strategies for COVID-19.

• 单位
  上海交通大学; 中山大学; 1; 广州医学院; jk; 5; 中国科学院; 华中科技大学; 中国医学科学院北京协和医院; 复旦大学; 北京大学; 汕头大学; 武汉大学