A single-cell transcriptomic landscape of the lungs of patients with COVID-19
The lung is the primary organ targeted by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), making respiratory failure a leading coronavirus disease 2019 (COVID-19)-related mortality. However, our cellular and molecular understanding of how SARS-CoV-2 infection drives lung pathology is l...
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Veröffentlicht in: | Nature cell biology 2021-12, Vol.23 (12), p.1314-1328 |
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creator | Wang, Si Yao, Xiaohong Ma, Shuai Ping, Yifang Fan, Yanling Sun, Shuhui He, Zhicheng Shi, Yu Sun, Liang Xiao, Shiqi Song, Moshi Cai, Jun Li, Jiaming Tang, Rui Zhao, Liyun Wang, Chaofu Wang, Qiaoran Zhao, Lei Hu, Huifang Liu, Xindong Sun, Guoqiang Chen, Lu Pan, Guoqing Chen, Huaiyong Li, Qingrui Zhang, Peipei Xu, Yuanyuan Feng, Huyi Zhao, Guo-Guang Wen, Tianzi Yang, Yungui Huang, Xuequan Li, Wei Liu, Zhenhua Wang, Hongmei Wu, Haibo Hu, Baoyang Ren, Yong Zhou, Qi Qu, Jing Zhang, Weiqi Liu, Guang-Hui Bian, Xiu-Wu |
description | The lung is the primary organ targeted by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), making respiratory failure a leading coronavirus disease 2019 (COVID-19)-related mortality. However, our cellular and molecular understanding of how SARS-CoV-2 infection drives lung pathology is limited. Here we constructed multi-omics and single-nucleus transcriptomic atlases of the lungs of patients with COVID-19, which integrate histological, transcriptomic and proteomic analyses. Our work reveals the molecular basis of pathological hallmarks associated with SARS-CoV-2 infection in different lung and infiltrating immune cell populations. We report molecular fingerprints of hyperinflammation, alveolar epithelial cell exhaustion, vascular changes and fibrosis, and identify parenchymal lung senescence as a molecular state of COVID-19 pathology. Moreover, our data suggest that FOXO3A suppression is a potential mechanism underlying the fibroblast-to-myofibroblast transition associated with COVID-19 pulmonary fibrosis. Our work depicts a comprehensive cellular and molecular atlas of the lungs of patients with COVID-19 and provides insights into SARS-CoV-2-related pulmonary injury, facilitating the identification of biomarkers and development of symptomatic treatments.
Wang et al. analysed post-mortem samples of the lungs of patients with COVID-19 by bulk and single-nucleus RNA sequencing along with proteomics and discovered lung senescence as a feature of COVID-19 pathology. |
doi_str_mv | 10.1038/s41556-021-00796-6 |
format | Article |
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Wang et al. analysed post-mortem samples of the lungs of patients with COVID-19 by bulk and single-nucleus RNA sequencing along with proteomics and discovered lung senescence as a feature of COVID-19 pathology.</description><identifier>ISSN: 1465-7392</identifier><identifier>ISSN: 1476-4679</identifier><identifier>EISSN: 1476-4679</identifier><identifier>DOI: 10.1038/s41556-021-00796-6</identifier><identifier>PMID: 34876692</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>38/39 ; 38/91 ; 631/250/262 ; 631/326/596/4130 ; 631/80/509 ; 82/58 ; Alveolar Epithelial Cells - metabolism ; Alveolar Epithelial Cells - pathology ; Alveolar Epithelial Cells - virology ; Alveoli ; Autopsy ; Biomarkers ; Biomedical and Life Sciences ; Cancer Research ; Cell Biology ; Chemical fingerprinting ; Coronaviruses ; COVID-19 ; COVID-19 - genetics ; COVID-19 - metabolism ; Development and progression ; Developmental Biology ; Epithelial cells ; Epithelium ; Fibrosis ; Fibrosis - metabolism ; Fibrosis - pathology ; Fibrosis - virology ; FOXO3 protein ; Gene sequencing ; Genetic aspects ; Humans ; Immune system ; Life Sciences ; Lung - metabolism ; Lung - pathology ; Lung - virology ; Lung diseases ; Lungs ; Medical treatment ; Methods ; Nuclei (cytology) ; Pathology ; Proteomics ; Proteomics - methods ; Resource ; Respiratory diseases ; Respiratory failure ; RNA sequencing ; SARS-CoV-2 - pathogenicity ; Senescence ; Severe acute respiratory syndrome coronavirus 2 ; Stem Cells ; Transcriptome - genetics ; Transcriptomics ; Viral diseases</subject><ispartof>Nature cell biology, 2021-12, Vol.23 (12), p.1314-1328</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Limited 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer Nature Limited.</rights><rights>COPYRIGHT 2021 Nature Publishing Group</rights><rights>The Author(s), under exclusive licence to Springer Nature Limited 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c575t-2700a899a221cf2791d410a743c5e75eab2f9bdebe707bb1834195cdc1b6309a3</citedby><cites>FETCH-LOGICAL-c575t-2700a899a221cf2791d410a743c5e75eab2f9bdebe707bb1834195cdc1b6309a3</cites><orcidid>0000-0001-9289-8177 ; 0000-0002-8885-5104 ; 0000-0001-7864-404X ; 0000-0002-3988-5067 ; 0000-0001-8436-604X ; 0000-0003-4383-0197 ; 0000-0002-2821-8541 ; 0000-0002-2465-0337 ; 0000-0002-1201-0535 ; 0000-0003-1603-4785 ; 0000-0002-0699-8401 ; 0000-0003-3993-4014</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41556-021-00796-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41556-021-00796-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34876692$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Si</creatorcontrib><creatorcontrib>Yao, Xiaohong</creatorcontrib><creatorcontrib>Ma, Shuai</creatorcontrib><creatorcontrib>Ping, Yifang</creatorcontrib><creatorcontrib>Fan, Yanling</creatorcontrib><creatorcontrib>Sun, Shuhui</creatorcontrib><creatorcontrib>He, Zhicheng</creatorcontrib><creatorcontrib>Shi, Yu</creatorcontrib><creatorcontrib>Sun, Liang</creatorcontrib><creatorcontrib>Xiao, Shiqi</creatorcontrib><creatorcontrib>Song, Moshi</creatorcontrib><creatorcontrib>Cai, Jun</creatorcontrib><creatorcontrib>Li, Jiaming</creatorcontrib><creatorcontrib>Tang, Rui</creatorcontrib><creatorcontrib>Zhao, Liyun</creatorcontrib><creatorcontrib>Wang, Chaofu</creatorcontrib><creatorcontrib>Wang, Qiaoran</creatorcontrib><creatorcontrib>Zhao, Lei</creatorcontrib><creatorcontrib>Hu, Huifang</creatorcontrib><creatorcontrib>Liu, Xindong</creatorcontrib><creatorcontrib>Sun, Guoqiang</creatorcontrib><creatorcontrib>Chen, Lu</creatorcontrib><creatorcontrib>Pan, Guoqing</creatorcontrib><creatorcontrib>Chen, Huaiyong</creatorcontrib><creatorcontrib>Li, Qingrui</creatorcontrib><creatorcontrib>Zhang, Peipei</creatorcontrib><creatorcontrib>Xu, Yuanyuan</creatorcontrib><creatorcontrib>Feng, Huyi</creatorcontrib><creatorcontrib>Zhao, Guo-Guang</creatorcontrib><creatorcontrib>Wen, Tianzi</creatorcontrib><creatorcontrib>Yang, Yungui</creatorcontrib><creatorcontrib>Huang, Xuequan</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Liu, Zhenhua</creatorcontrib><creatorcontrib>Wang, Hongmei</creatorcontrib><creatorcontrib>Wu, Haibo</creatorcontrib><creatorcontrib>Hu, Baoyang</creatorcontrib><creatorcontrib>Ren, Yong</creatorcontrib><creatorcontrib>Zhou, Qi</creatorcontrib><creatorcontrib>Qu, Jing</creatorcontrib><creatorcontrib>Zhang, Weiqi</creatorcontrib><creatorcontrib>Liu, Guang-Hui</creatorcontrib><creatorcontrib>Bian, Xiu-Wu</creatorcontrib><title>A single-cell transcriptomic landscape of the lungs of patients with COVID-19</title><title>Nature cell biology</title><addtitle>Nat Cell Biol</addtitle><addtitle>Nat Cell Biol</addtitle><description>The lung is the primary organ targeted by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), making respiratory failure a leading coronavirus disease 2019 (COVID-19)-related mortality. However, our cellular and molecular understanding of how SARS-CoV-2 infection drives lung pathology is limited. Here we constructed multi-omics and single-nucleus transcriptomic atlases of the lungs of patients with COVID-19, which integrate histological, transcriptomic and proteomic analyses. Our work reveals the molecular basis of pathological hallmarks associated with SARS-CoV-2 infection in different lung and infiltrating immune cell populations. We report molecular fingerprints of hyperinflammation, alveolar epithelial cell exhaustion, vascular changes and fibrosis, and identify parenchymal lung senescence as a molecular state of COVID-19 pathology. Moreover, our data suggest that FOXO3A suppression is a potential mechanism underlying the fibroblast-to-myofibroblast transition associated with COVID-19 pulmonary fibrosis. Our work depicts a comprehensive cellular and molecular atlas of the lungs of patients with COVID-19 and provides insights into SARS-CoV-2-related pulmonary injury, facilitating the identification of biomarkers and development of symptomatic treatments.
Wang et al. analysed post-mortem samples of the lungs of patients with COVID-19 by bulk and single-nucleus RNA sequencing along with proteomics and discovered lung senescence as a feature of COVID-19 pathology.</description><subject>38/39</subject><subject>38/91</subject><subject>631/250/262</subject><subject>631/326/596/4130</subject><subject>631/80/509</subject><subject>82/58</subject><subject>Alveolar Epithelial Cells - metabolism</subject><subject>Alveolar Epithelial Cells - pathology</subject><subject>Alveolar Epithelial Cells - virology</subject><subject>Alveoli</subject><subject>Autopsy</subject><subject>Biomarkers</subject><subject>Biomedical and Life Sciences</subject><subject>Cancer Research</subject><subject>Cell Biology</subject><subject>Chemical fingerprinting</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - genetics</subject><subject>COVID-19 - metabolism</subject><subject>Development and progression</subject><subject>Developmental Biology</subject><subject>Epithelial cells</subject><subject>Epithelium</subject><subject>Fibrosis</subject><subject>Fibrosis - metabolism</subject><subject>Fibrosis - pathology</subject><subject>Fibrosis - virology</subject><subject>FOXO3 protein</subject><subject>Gene sequencing</subject><subject>Genetic aspects</subject><subject>Humans</subject><subject>Immune system</subject><subject>Life Sciences</subject><subject>Lung - metabolism</subject><subject>Lung - pathology</subject><subject>Lung - virology</subject><subject>Lung diseases</subject><subject>Lungs</subject><subject>Medical treatment</subject><subject>Methods</subject><subject>Nuclei (cytology)</subject><subject>Pathology</subject><subject>Proteomics</subject><subject>Proteomics - methods</subject><subject>Resource</subject><subject>Respiratory diseases</subject><subject>Respiratory failure</subject><subject>RNA sequencing</subject><subject>SARS-CoV-2 - pathogenicity</subject><subject>Senescence</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Stem Cells</subject><subject>Transcriptome - genetics</subject><subject>Transcriptomics</subject><subject>Viral diseases</subject><issn>1465-7392</issn><issn>1476-4679</issn><issn>1476-4679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kstu1DAUhiMEoqXwAixQJDawcLEdXzdIo6HASEWVuG0tx3EyrjJ2ajtQ3h6HKS2DEPLCl_Od__gc_VX1FMFTBBvxKhFEKQMQIwAhlwywe9UxIpwBwri8v5wZBbyR-Kh6lNIlhIgQyB9WRw0RnDGJj6sPqzo5P4wWGDuOdY7aJxPdlMPOmXrUvktGT7YOfZ23th5nP6TlMunsrM-p_u7ytl5ffN28AUg-rh70ekz2yc1-Un15e_Z5_R6cX7zbrFfnwFBOM8AcQi2k1Bgj02MuUUcQ1Jw0hlpOrW5xL9vOtpZD3rZINARJajqDWtZAqZuT6vVed5rbne1M-UnUo5qi2-n4QwXt1GHEu60awjclGIWS0iLw4kYghqvZpqx2Li0T0N6GOSnMoEAQCgIL-vwv9DLM0Zf2CoUKJBkmd9SgR6uc70OpaxZRtWKCYyYasZQ9_QdVVmfLuIO3vSvvBwkvDxIKk-11HvScktp8-njI4j1rYkgp2v52HgiqxTBqbxhVDKN-GUaxkvTsz0nepvx2SAGaPZBKyA823rX_H9mf3RXIcg</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Wang, 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single-cell transcriptomic landscape of the lungs of patients with COVID-19</title><author>Wang, Si ; Yao, Xiaohong ; Ma, Shuai ; Ping, Yifang ; Fan, Yanling ; Sun, Shuhui ; He, Zhicheng ; Shi, Yu ; Sun, Liang ; Xiao, Shiqi ; Song, Moshi ; Cai, Jun ; Li, Jiaming ; Tang, Rui ; Zhao, Liyun ; Wang, Chaofu ; Wang, Qiaoran ; Zhao, Lei ; Hu, Huifang ; Liu, Xindong ; Sun, Guoqiang ; Chen, Lu ; Pan, Guoqing ; Chen, Huaiyong ; Li, Qingrui ; Zhang, Peipei ; Xu, Yuanyuan ; Feng, Huyi ; Zhao, Guo-Guang ; Wen, Tianzi ; Yang, Yungui ; Huang, Xuequan ; Li, Wei ; Liu, Zhenhua ; Wang, Hongmei ; Wu, Haibo ; Hu, Baoyang ; Ren, Yong ; Zhou, Qi ; Qu, Jing ; Zhang, Weiqi ; Liu, Guang-Hui ; Bian, Xiu-Wu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c575t-2700a899a221cf2791d410a743c5e75eab2f9bdebe707bb1834195cdc1b6309a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>38/39</topic><topic>38/91</topic><topic>631/250/262</topic><topic>631/326/596/4130</topic><topic>631/80/509</topic><topic>82/58</topic><topic>Alveolar Epithelial Cells - metabolism</topic><topic>Alveolar Epithelial Cells - pathology</topic><topic>Alveolar Epithelial Cells - virology</topic><topic>Alveoli</topic><topic>Autopsy</topic><topic>Biomarkers</topic><topic>Biomedical and Life Sciences</topic><topic>Cancer Research</topic><topic>Cell Biology</topic><topic>Chemical fingerprinting</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - genetics</topic><topic>COVID-19 - metabolism</topic><topic>Development and progression</topic><topic>Developmental Biology</topic><topic>Epithelial cells</topic><topic>Epithelium</topic><topic>Fibrosis</topic><topic>Fibrosis - metabolism</topic><topic>Fibrosis - pathology</topic><topic>Fibrosis - virology</topic><topic>FOXO3 protein</topic><topic>Gene sequencing</topic><topic>Genetic aspects</topic><topic>Humans</topic><topic>Immune system</topic><topic>Life Sciences</topic><topic>Lung - metabolism</topic><topic>Lung - pathology</topic><topic>Lung - virology</topic><topic>Lung diseases</topic><topic>Lungs</topic><topic>Medical treatment</topic><topic>Methods</topic><topic>Nuclei (cytology)</topic><topic>Pathology</topic><topic>Proteomics</topic><topic>Proteomics - methods</topic><topic>Resource</topic><topic>Respiratory diseases</topic><topic>Respiratory failure</topic><topic>RNA sequencing</topic><topic>SARS-CoV-2 - pathogenicity</topic><topic>Senescence</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Stem Cells</topic><topic>Transcriptome - genetics</topic><topic>Transcriptomics</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Si</creatorcontrib><creatorcontrib>Yao, Xiaohong</creatorcontrib><creatorcontrib>Ma, Shuai</creatorcontrib><creatorcontrib>Ping, Yifang</creatorcontrib><creatorcontrib>Fan, Yanling</creatorcontrib><creatorcontrib>Sun, Shuhui</creatorcontrib><creatorcontrib>He, Zhicheng</creatorcontrib><creatorcontrib>Shi, Yu</creatorcontrib><creatorcontrib>Sun, Liang</creatorcontrib><creatorcontrib>Xiao, Shiqi</creatorcontrib><creatorcontrib>Song, Moshi</creatorcontrib><creatorcontrib>Cai, Jun</creatorcontrib><creatorcontrib>Li, Jiaming</creatorcontrib><creatorcontrib>Tang, Rui</creatorcontrib><creatorcontrib>Zhao, Liyun</creatorcontrib><creatorcontrib>Wang, Chaofu</creatorcontrib><creatorcontrib>Wang, Qiaoran</creatorcontrib><creatorcontrib>Zhao, Lei</creatorcontrib><creatorcontrib>Hu, Huifang</creatorcontrib><creatorcontrib>Liu, Xindong</creatorcontrib><creatorcontrib>Sun, Guoqiang</creatorcontrib><creatorcontrib>Chen, Lu</creatorcontrib><creatorcontrib>Pan, Guoqing</creatorcontrib><creatorcontrib>Chen, Huaiyong</creatorcontrib><creatorcontrib>Li, Qingrui</creatorcontrib><creatorcontrib>Zhang, Peipei</creatorcontrib><creatorcontrib>Xu, Yuanyuan</creatorcontrib><creatorcontrib>Feng, Huyi</creatorcontrib><creatorcontrib>Zhao, Guo-Guang</creatorcontrib><creatorcontrib>Wen, Tianzi</creatorcontrib><creatorcontrib>Yang, Yungui</creatorcontrib><creatorcontrib>Huang, Xuequan</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Liu, Zhenhua</creatorcontrib><creatorcontrib>Wang, Hongmei</creatorcontrib><creatorcontrib>Wu, Haibo</creatorcontrib><creatorcontrib>Hu, Baoyang</creatorcontrib><creatorcontrib>Ren, Yong</creatorcontrib><creatorcontrib>Zhou, Qi</creatorcontrib><creatorcontrib>Qu, Jing</creatorcontrib><creatorcontrib>Zhang, Weiqi</creatorcontrib><creatorcontrib>Liu, Guang-Hui</creatorcontrib><creatorcontrib>Bian, Xiu-Wu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni 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Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature cell biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Si</au><au>Yao, Xiaohong</au><au>Ma, Shuai</au><au>Ping, Yifang</au><au>Fan, Yanling</au><au>Sun, Shuhui</au><au>He, Zhicheng</au><au>Shi, Yu</au><au>Sun, Liang</au><au>Xiao, Shiqi</au><au>Song, Moshi</au><au>Cai, Jun</au><au>Li, Jiaming</au><au>Tang, Rui</au><au>Zhao, Liyun</au><au>Wang, Chaofu</au><au>Wang, Qiaoran</au><au>Zhao, Lei</au><au>Hu, Huifang</au><au>Liu, Xindong</au><au>Sun, Guoqiang</au><au>Chen, Lu</au><au>Pan, Guoqing</au><au>Chen, Huaiyong</au><au>Li, Qingrui</au><au>Zhang, Peipei</au><au>Xu, Yuanyuan</au><au>Feng, Huyi</au><au>Zhao, Guo-Guang</au><au>Wen, Tianzi</au><au>Yang, Yungui</au><au>Huang, Xuequan</au><au>Li, Wei</au><au>Liu, Zhenhua</au><au>Wang, Hongmei</au><au>Wu, Haibo</au><au>Hu, Baoyang</au><au>Ren, Yong</au><au>Zhou, Qi</au><au>Qu, Jing</au><au>Zhang, Weiqi</au><au>Liu, Guang-Hui</au><au>Bian, Xiu-Wu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A single-cell transcriptomic landscape of the lungs of patients with COVID-19</atitle><jtitle>Nature cell biology</jtitle><stitle>Nat Cell Biol</stitle><addtitle>Nat Cell Biol</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>23</volume><issue>12</issue><spage>1314</spage><epage>1328</epage><pages>1314-1328</pages><issn>1465-7392</issn><issn>1476-4679</issn><eissn>1476-4679</eissn><abstract>The lung is the primary organ targeted by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), making respiratory failure a leading coronavirus disease 2019 (COVID-19)-related mortality. However, our cellular and molecular understanding of how SARS-CoV-2 infection drives lung pathology is limited. Here we constructed multi-omics and single-nucleus transcriptomic atlases of the lungs of patients with COVID-19, which integrate histological, transcriptomic and proteomic analyses. Our work reveals the molecular basis of pathological hallmarks associated with SARS-CoV-2 infection in different lung and infiltrating immune cell populations. We report molecular fingerprints of hyperinflammation, alveolar epithelial cell exhaustion, vascular changes and fibrosis, and identify parenchymal lung senescence as a molecular state of COVID-19 pathology. Moreover, our data suggest that FOXO3A suppression is a potential mechanism underlying the fibroblast-to-myofibroblast transition associated with COVID-19 pulmonary fibrosis. Our work depicts a comprehensive cellular and molecular atlas of the lungs of patients with COVID-19 and provides insights into SARS-CoV-2-related pulmonary injury, facilitating the identification of biomarkers and development of symptomatic treatments.
Wang et al. analysed post-mortem samples of the lungs of patients with COVID-19 by bulk and single-nucleus RNA sequencing along with proteomics and discovered lung senescence as a feature of COVID-19 pathology.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>34876692</pmid><doi>10.1038/s41556-021-00796-6</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-9289-8177</orcidid><orcidid>https://orcid.org/0000-0002-8885-5104</orcidid><orcidid>https://orcid.org/0000-0001-7864-404X</orcidid><orcidid>https://orcid.org/0000-0002-3988-5067</orcidid><orcidid>https://orcid.org/0000-0001-8436-604X</orcidid><orcidid>https://orcid.org/0000-0003-4383-0197</orcidid><orcidid>https://orcid.org/0000-0002-2821-8541</orcidid><orcidid>https://orcid.org/0000-0002-2465-0337</orcidid><orcidid>https://orcid.org/0000-0002-1201-0535</orcidid><orcidid>https://orcid.org/0000-0003-1603-4785</orcidid><orcidid>https://orcid.org/0000-0002-0699-8401</orcidid><orcidid>https://orcid.org/0000-0003-3993-4014</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1465-7392 |
ispartof | Nature cell biology, 2021-12, Vol.23 (12), p.1314-1328 |
issn | 1465-7392 1476-4679 1476-4679 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8650955 |
source | MEDLINE; SpringerLink Journals; Nature Journals Online |
subjects | 38/39 38/91 631/250/262 631/326/596/4130 631/80/509 82/58 Alveolar Epithelial Cells - metabolism Alveolar Epithelial Cells - pathology Alveolar Epithelial Cells - virology Alveoli Autopsy Biomarkers Biomedical and Life Sciences Cancer Research Cell Biology Chemical fingerprinting Coronaviruses COVID-19 COVID-19 - genetics COVID-19 - metabolism Development and progression Developmental Biology Epithelial cells Epithelium Fibrosis Fibrosis - metabolism Fibrosis - pathology Fibrosis - virology FOXO3 protein Gene sequencing Genetic aspects Humans Immune system Life Sciences Lung - metabolism Lung - pathology Lung - virology Lung diseases Lungs Medical treatment Methods Nuclei (cytology) Pathology Proteomics Proteomics - methods Resource Respiratory diseases Respiratory failure RNA sequencing SARS-CoV-2 - pathogenicity Senescence Severe acute respiratory syndrome coronavirus 2 Stem Cells Transcriptome - genetics Transcriptomics Viral diseases |
title | A single-cell transcriptomic landscape of the lungs of patients with COVID-19 |
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