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COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas
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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857060/ https://www.ncbi.nlm.nih.gov/pubmed/33657410 http://dx.doi.org/10.1016/j.cell.2021.01.053 |
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author | 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 Song, Qibing Sun, Wujianan Wang, GaoXiang Wang, Feng Wang, Ying Wen, Xiaofeng Wu, Qian Xu, Gang Xie, Xiaowei Xiong, Xinxin Xing, Xudong Xu, Hao Yin, Chonghai Yu, Dongdong Yu, Kezhuo Yuan, Jin Zhang, Biao Zhang, Peipei Zhang, Tong Zhao, Jincun Zhao, Peidong Zhou, Jianfeng Zhou, Wei Zhong, Sujuan Zhong, Xiaosong Zhang, Shuye Zhu, Lin Zhu, Ping Zou, Bin Zou, Jiahua Zuo, Zengtao Bai, Fan Huang, Xi Zhou, Penghui Jiang, Qinghua Huang, Zhiwei Bei, Jin-Xin Wei, Lai Bian, Xiu-Wu Liu, Xindong Cheng, Tao Li, Xiangpan Zhao, Pingsen Wang, Fu-Sheng Wang, Hongyang Su, Bing Zhang, Zheng Qu, Kun Wang, Xiaoqun Chen, Jiekai Jin, Ronghua Zhang, Zemin |
author_facet | 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 Song, Qibing Sun, Wujianan Wang, GaoXiang Wang, Feng Wang, Ying Wen, Xiaofeng Wu, Qian Xu, Gang Xie, Xiaowei Xiong, Xinxin Xing, Xudong Xu, Hao Yin, Chonghai Yu, Dongdong Yu, Kezhuo Yuan, Jin Zhang, Biao Zhang, Peipei Zhang, Tong Zhao, Jincun Zhao, Peidong Zhou, Jianfeng Zhou, Wei Zhong, Sujuan Zhong, Xiaosong Zhang, Shuye Zhu, Lin Zhu, Ping Zou, Bin Zou, Jiahua Zuo, Zengtao Bai, Fan Huang, Xi Zhou, Penghui Jiang, Qinghua Huang, Zhiwei Bei, Jin-Xin Wei, Lai Bian, Xiu-Wu Liu, Xindong Cheng, Tao Li, Xiangpan Zhao, Pingsen Wang, Fu-Sheng Wang, Hongyang Su, Bing Zhang, Zheng Qu, Kun Wang, Xiaoqun Chen, Jiekai Jin, Ronghua Zhang, Zemin |
author_sort | Ren, Xianwen |
collection | PubMed |
description | 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 (SARS-CoV-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. |
format | Online Article Text |
id | pubmed-7857060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78570602021-02-04 COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas 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 Song, Qibing Sun, Wujianan Wang, GaoXiang Wang, Feng Wang, Ying Wen, Xiaofeng Wu, Qian Xu, Gang Xie, Xiaowei Xiong, Xinxin Xing, Xudong Xu, Hao Yin, Chonghai Yu, Dongdong Yu, Kezhuo Yuan, Jin Zhang, Biao Zhang, Peipei Zhang, Tong Zhao, Jincun Zhao, Peidong Zhou, Jianfeng Zhou, Wei Zhong, Sujuan Zhong, Xiaosong Zhang, Shuye Zhu, Lin Zhu, Ping Zou, Bin Zou, Jiahua Zuo, Zengtao Bai, Fan Huang, Xi Zhou, Penghui Jiang, Qinghua Huang, Zhiwei Bei, Jin-Xin Wei, Lai Bian, Xiu-Wu Liu, Xindong Cheng, Tao Li, Xiangpan Zhao, Pingsen Wang, Fu-Sheng Wang, Hongyang Su, Bing Zhang, Zheng Qu, Kun Wang, Xiaoqun Chen, Jiekai Jin, Ronghua Zhang, Zemin Cell Resource 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 (SARS-CoV-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. Elsevier Inc. 2021-04-01 2021-02-03 /pmc/articles/PMC7857060/ /pubmed/33657410 http://dx.doi.org/10.1016/j.cell.2021.01.053 Text en © 2021 Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Resource 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 Song, Qibing Sun, Wujianan Wang, GaoXiang Wang, Feng Wang, Ying Wen, Xiaofeng Wu, Qian Xu, Gang Xie, Xiaowei Xiong, Xinxin Xing, Xudong Xu, Hao Yin, Chonghai Yu, Dongdong Yu, Kezhuo Yuan, Jin Zhang, Biao Zhang, Peipei Zhang, Tong Zhao, Jincun Zhao, Peidong Zhou, Jianfeng Zhou, Wei Zhong, Sujuan Zhong, Xiaosong Zhang, Shuye Zhu, Lin Zhu, Ping Zou, Bin Zou, Jiahua Zuo, Zengtao Bai, Fan Huang, Xi Zhou, Penghui Jiang, Qinghua Huang, Zhiwei Bei, Jin-Xin Wei, Lai Bian, Xiu-Wu Liu, Xindong Cheng, Tao Li, Xiangpan Zhao, Pingsen Wang, Fu-Sheng Wang, Hongyang Su, Bing Zhang, Zheng Qu, Kun Wang, Xiaoqun Chen, Jiekai Jin, Ronghua Zhang, Zemin COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas |
title | COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas |
title_full | COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas |
title_fullStr | COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas |
title_full_unstemmed | COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas |
title_short | COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas |
title_sort | covid-19 immune features revealed by a large-scale single-cell transcriptome atlas |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857060/ https://www.ncbi.nlm.nih.gov/pubmed/33657410 http://dx.doi.org/10.1016/j.cell.2021.01.053 |
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