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

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

Author(s) -

Xianwen Ren,

Wen Wen,

Xiaoying Fan,

Wenhong Hou,

Bin Su,

Pengfei Cai,

Jiesheng Li,

Yang Liu,

Fei Tang,

Fan Zhang,

Yu Yang,

Jiangping He,

Wenji Ma,

Jingjing He,

Pingping Wang,

Qiqi Cao,

Fangjin Chen,

Yuqing Chen,

Xuelian Cheng,

Guohong Deng,

Xilong Deng,

Wenyu Ding,

Yingmei Feng,

Rui Gan,

Chuang Guo,

Weiqiang Guo,

Shuai He,

Chen Jiang,

Juanran Liang,

Yimin Li,

Jun Lin,

Yun Ling,

Haofei Liu,

Jianwei Liu,

Nianping Liu,

ShuQiang Liu,

Meng Luo,

Qiang Ma,

Qibing Song,

Wujianan Sun,

Gaoxiang Wang,

Feng Wang,

Ying Wang,

Xiaofeng Wen,

Qian Wu,

Gang Xu,

Xiaowei Xie,

Xinxin Xiong,

Xudong Xing,

Hao Xu,

Chonghai Yin,

Dongdong Yu,

Kezhuo Yu,

Jin Yuan,

Biao Zhang,

Peipei Zhang,

Tong Zhang,

Jincun Zhao,

Peidong Zhao,

Jianfeng Zhou,

Wei Zhou,

Sujuan Zhong,

Xiaosong Zhong,

Shuye Zhang,

Lin Zhu,

Ping Zhu,

Bin Zou,

Jiahua Zou,

Zengtao Zuo,

Fan Bai,

Xi Huang,

Penghui Zhou,

Qinghua Jiang,

Zhiwei Huang,

JinXin Bei,

Lai Wei,

XiuWu Bian,

Xindong Liu,

Tao Cheng,

Xiangpan Li,

Pingsen Zhao,

FuSheng Wang,

Hongyang Wang,

Bing Su,

Zheng Zhang,

Kun Qu,

Xiaoqun Wang,

Jiekai Chen,

Ronghua Jin,

Zemin Zhang

Publication year - 2021

Publication title -

cell

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 26.304

H-Index - 776

eISSN - 1097-4172

pISSN - 0092-8674

DOI - 10.1016/j.cell.2021.01.053

Subject(s) - biology , immune system , cytokine storm , transcriptome , coronavirus , immunology , disease , pathogenesis , virology , covid-19 , gene , infectious disease (medical specialty) , gene expression , genetics , medicine , pathology

Dysfunctional immune response in the COVID-19 patients is a recurrent theme impacting symptoms and mortality, yet the 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 were associated with distinct clinical features including age, sex, severity, and disease stages of COVID-19. SARS-CoV-2 RNAs were found in diverse epithelial and immune cell types, accompanied by dramatic transcriptomic changes within viral positive cells. Systemic up-regulation 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 and developing effective therapeutic strategies for COVID-19.

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