Longitudinal transcriptome analyses show robust T cell immunity during recovery from COVID-19
Understanding the processes of immune regulation in patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for improving treatment. Here, we performed longitudinal whole-transcriptome RNA sequencing on peripheral blood mononuclear cell (PBMC) samples from...
Gespeichert in:
Veröffentlicht in: | Signal transduction and targeted therapy 2020-12, Vol.5 (1), p.294-294, Article 294 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 294 |
---|---|
container_issue | 1 |
container_start_page | 294 |
container_title | Signal transduction and targeted therapy |
container_volume | 5 |
creator | Zheng, Hong-Yi Xu, Min Yang, Cui-Xian Tian, Ren-Rong Zhang, Mi Li, Jian-Jian Wang, Xi-Cheng Ding, Zhao-Li Li, Gui-Mei Li, Xiao-Lu He, Yu-Qi Dong, Xing-Qi Yao, Yong-Gang Zheng, Yong-Tang |
description | Understanding the processes of immune regulation in patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for improving treatment. Here, we performed longitudinal whole-transcriptome RNA sequencing on peripheral blood mononuclear cell (PBMC) samples from 18 patients with coronavirus disease 2019 (COVID-19) during their treatment, convalescence, and rehabilitation. After analyzing the regulatory networks of differentially expressed messenger RNAs (mRNAs), microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) between the different clinical stages, we found that humoral immunity and type I interferon response were significantly downregulated, while robust T-cell activation and differentiation at the whole transcriptome level constituted the main events that occurred during recovery from COVID-19. The formation of this T cell immune response might be driven by the activation of activating protein-1 (AP-1) related signaling pathway and was weakly affected by other clinical features. These findings uncovered the dynamic pattern of immune responses and indicated the key role of T cell immunity in the creation of immune protection against this disease. |
doi_str_mv | 10.1038/s41392-020-00457-4 |
format | Article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_pubmed_primary_33361761</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_e6f7687ef96b46f0b7d3c9dacfbea703</doaj_id><sourcerecordid>2473198321</sourcerecordid><originalsourceid>FETCH-LOGICAL-c540t-daaecdac4de2eb8a5a9d7be0ff02ded16d3885ff86f63c65cd15fb17cafee2e23</originalsourceid><addsrcrecordid>eNp9Uk1v1DAUtBCIVqV_gAOyxIVLwI6_kgsSWmhZaaVeCjdkOfbz1qskXuykaP893qaUlgMnW8_z5j3PDEKvKXlPCWs-ZE5ZW1ekJhUhXKiKP0OnNRFtxSQTzx_dT9B5zjtCCJVMKcFfohPGmKRK0lP0YxPHbZhmF0bT4ymZMdsU9lMcAJtSOmTION_EXzjFbs4TvsYW-h6HYZjHMB2wm1MYtziBjbeQDtinOODV1ff154q2r9ALb_oM5_fnGfp28eV69bXaXF2uV582lRWcTJUzBqwzljuooWuMMK1THRDvSe3AUelY0wjvG-kls1JYR4XvqLLGQ-mo2RlaL7wump3epzCYdNDRBH1XiGmrTZqC7UGD9Eo2CnwrOy496ZRjti3DfQdGEVa4Pi5c-7kbwFkYiyr9E9KnL2O40dt4q4u2TTGlELy7J0jx5wx50kPIR9HMCHHOuuaK8eJZ2xbo23-guzinIvuCom3DalpQ9YKyKeacwD8sQ4k-hkEvYdAlDPouDJqXpjePv_HQ8sf6AmALIO-PDkL6O_s_tL8BzP_C5g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2473198321</pqid></control><display><type>article</type><title>Longitudinal transcriptome analyses show robust T cell immunity during recovery from COVID-19</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Springer Nature OA Free Journals</source><source>Nature Free</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Zheng, Hong-Yi ; Xu, Min ; Yang, Cui-Xian ; Tian, Ren-Rong ; Zhang, Mi ; Li, Jian-Jian ; Wang, Xi-Cheng ; Ding, Zhao-Li ; Li, Gui-Mei ; Li, Xiao-Lu ; He, Yu-Qi ; Dong, Xing-Qi ; Yao, Yong-Gang ; Zheng, Yong-Tang</creator><creatorcontrib>Zheng, Hong-Yi ; Xu, Min ; Yang, Cui-Xian ; Tian, Ren-Rong ; Zhang, Mi ; Li, Jian-Jian ; Wang, Xi-Cheng ; Ding, Zhao-Li ; Li, Gui-Mei ; Li, Xiao-Lu ; He, Yu-Qi ; Dong, Xing-Qi ; Yao, Yong-Gang ; Zheng, Yong-Tang</creatorcontrib><description>Understanding the processes of immune regulation in patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for improving treatment. Here, we performed longitudinal whole-transcriptome RNA sequencing on peripheral blood mononuclear cell (PBMC) samples from 18 patients with coronavirus disease 2019 (COVID-19) during their treatment, convalescence, and rehabilitation. After analyzing the regulatory networks of differentially expressed messenger RNAs (mRNAs), microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) between the different clinical stages, we found that humoral immunity and type I interferon response were significantly downregulated, while robust T-cell activation and differentiation at the whole transcriptome level constituted the main events that occurred during recovery from COVID-19. The formation of this T cell immune response might be driven by the activation of activating protein-1 (AP-1) related signaling pathway and was weakly affected by other clinical features. These findings uncovered the dynamic pattern of immune responses and indicated the key role of T cell immunity in the creation of immune protection against this disease.</description><identifier>ISSN: 2059-3635</identifier><identifier>ISSN: 2095-9907</identifier><identifier>EISSN: 2059-3635</identifier><identifier>DOI: 10.1038/s41392-020-00457-4</identifier><identifier>PMID: 33361761</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/114/2785 ; 631/250/255 ; Cancer Research ; Cell Biology ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - genetics ; COVID-19 - pathology ; Female ; Humans ; Immunity, Humoral - genetics ; Immunity, Humoral - immunology ; Internal Medicine ; Leukocytes, Mononuclear - metabolism ; Lymphocytes ; Male ; Medicine ; Medicine & Public Health ; MicroRNAs ; Oncology ; Pathology ; RNA, Long Noncoding - genetics ; RNA-Seq ; SARS-CoV-2 - genetics ; SARS-CoV-2 - pathogenicity ; Severe acute respiratory syndrome coronavirus 2 ; T-Lymphocytes - immunology ; T-Lymphocytes - metabolism ; T-Lymphocytes - pathology ; Transcription Factor AP-1 - genetics ; Transcriptome - genetics</subject><ispartof>Signal transduction and targeted therapy, 2020-12, Vol.5 (1), p.294-294, Article 294</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-daaecdac4de2eb8a5a9d7be0ff02ded16d3885ff86f63c65cd15fb17cafee2e23</citedby><cites>FETCH-LOGICAL-c540t-daaecdac4de2eb8a5a9d7be0ff02ded16d3885ff86f63c65cd15fb17cafee2e23</cites><orcidid>0000-0001-5469-0324 ; 0000-0002-2955-0693</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758413/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758413/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,27905,27906,41101,42170,51557,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33361761$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zheng, Hong-Yi</creatorcontrib><creatorcontrib>Xu, Min</creatorcontrib><creatorcontrib>Yang, Cui-Xian</creatorcontrib><creatorcontrib>Tian, Ren-Rong</creatorcontrib><creatorcontrib>Zhang, Mi</creatorcontrib><creatorcontrib>Li, Jian-Jian</creatorcontrib><creatorcontrib>Wang, Xi-Cheng</creatorcontrib><creatorcontrib>Ding, Zhao-Li</creatorcontrib><creatorcontrib>Li, Gui-Mei</creatorcontrib><creatorcontrib>Li, Xiao-Lu</creatorcontrib><creatorcontrib>He, Yu-Qi</creatorcontrib><creatorcontrib>Dong, Xing-Qi</creatorcontrib><creatorcontrib>Yao, Yong-Gang</creatorcontrib><creatorcontrib>Zheng, Yong-Tang</creatorcontrib><title>Longitudinal transcriptome analyses show robust T cell immunity during recovery from COVID-19</title><title>Signal transduction and targeted therapy</title><addtitle>Sig Transduct Target Ther</addtitle><addtitle>Signal Transduct Target Ther</addtitle><description>Understanding the processes of immune regulation in patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for improving treatment. Here, we performed longitudinal whole-transcriptome RNA sequencing on peripheral blood mononuclear cell (PBMC) samples from 18 patients with coronavirus disease 2019 (COVID-19) during their treatment, convalescence, and rehabilitation. After analyzing the regulatory networks of differentially expressed messenger RNAs (mRNAs), microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) between the different clinical stages, we found that humoral immunity and type I interferon response were significantly downregulated, while robust T-cell activation and differentiation at the whole transcriptome level constituted the main events that occurred during recovery from COVID-19. The formation of this T cell immune response might be driven by the activation of activating protein-1 (AP-1) related signaling pathway and was weakly affected by other clinical features. These findings uncovered the dynamic pattern of immune responses and indicated the key role of T cell immunity in the creation of immune protection against this disease.</description><subject>631/114/2785</subject><subject>631/250/255</subject><subject>Cancer Research</subject><subject>Cell Biology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - genetics</subject><subject>COVID-19 - pathology</subject><subject>Female</subject><subject>Humans</subject><subject>Immunity, Humoral - genetics</subject><subject>Immunity, Humoral - immunology</subject><subject>Internal Medicine</subject><subject>Leukocytes, Mononuclear - metabolism</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>MicroRNAs</subject><subject>Oncology</subject><subject>Pathology</subject><subject>RNA, Long Noncoding - genetics</subject><subject>RNA-Seq</subject><subject>SARS-CoV-2 - genetics</subject><subject>SARS-CoV-2 - pathogenicity</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>T-Lymphocytes - immunology</subject><subject>T-Lymphocytes - metabolism</subject><subject>T-Lymphocytes - pathology</subject><subject>Transcription Factor AP-1 - genetics</subject><subject>Transcriptome - genetics</subject><issn>2059-3635</issn><issn>2095-9907</issn><issn>2059-3635</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNp9Uk1v1DAUtBCIVqV_gAOyxIVLwI6_kgsSWmhZaaVeCjdkOfbz1qskXuykaP893qaUlgMnW8_z5j3PDEKvKXlPCWs-ZE5ZW1ekJhUhXKiKP0OnNRFtxSQTzx_dT9B5zjtCCJVMKcFfohPGmKRK0lP0YxPHbZhmF0bT4ymZMdsU9lMcAJtSOmTION_EXzjFbs4TvsYW-h6HYZjHMB2wm1MYtziBjbeQDtinOODV1ff154q2r9ALb_oM5_fnGfp28eV69bXaXF2uV582lRWcTJUzBqwzljuooWuMMK1THRDvSe3AUelY0wjvG-kls1JYR4XvqLLGQ-mo2RlaL7wump3epzCYdNDRBH1XiGmrTZqC7UGD9Eo2CnwrOy496ZRjti3DfQdGEVa4Pi5c-7kbwFkYiyr9E9KnL2O40dt4q4u2TTGlELy7J0jx5wx50kPIR9HMCHHOuuaK8eJZ2xbo23-guzinIvuCom3DalpQ9YKyKeacwD8sQ4k-hkEvYdAlDPouDJqXpjePv_HQ8sf6AmALIO-PDkL6O_s_tL8BzP_C5g</recordid><startdate>20201224</startdate><enddate>20201224</enddate><creator>Zheng, Hong-Yi</creator><creator>Xu, Min</creator><creator>Yang, Cui-Xian</creator><creator>Tian, Ren-Rong</creator><creator>Zhang, Mi</creator><creator>Li, Jian-Jian</creator><creator>Wang, Xi-Cheng</creator><creator>Ding, Zhao-Li</creator><creator>Li, Gui-Mei</creator><creator>Li, Xiao-Lu</creator><creator>He, Yu-Qi</creator><creator>Dong, Xing-Qi</creator><creator>Yao, Yong-Gang</creator><creator>Zheng, Yong-Tang</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5469-0324</orcidid><orcidid>https://orcid.org/0000-0002-2955-0693</orcidid></search><sort><creationdate>20201224</creationdate><title>Longitudinal transcriptome analyses show robust T cell immunity during recovery from COVID-19</title><author>Zheng, Hong-Yi ; Xu, Min ; Yang, Cui-Xian ; Tian, Ren-Rong ; Zhang, Mi ; Li, Jian-Jian ; Wang, Xi-Cheng ; Ding, Zhao-Li ; Li, Gui-Mei ; Li, Xiao-Lu ; He, Yu-Qi ; Dong, Xing-Qi ; Yao, Yong-Gang ; Zheng, Yong-Tang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-daaecdac4de2eb8a5a9d7be0ff02ded16d3885ff86f63c65cd15fb17cafee2e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>631/114/2785</topic><topic>631/250/255</topic><topic>Cancer Research</topic><topic>Cell Biology</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - genetics</topic><topic>COVID-19 - pathology</topic><topic>Female</topic><topic>Humans</topic><topic>Immunity, Humoral - genetics</topic><topic>Immunity, Humoral - immunology</topic><topic>Internal Medicine</topic><topic>Leukocytes, Mononuclear - metabolism</topic><topic>Lymphocytes</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>MicroRNAs</topic><topic>Oncology</topic><topic>Pathology</topic><topic>RNA, Long Noncoding - genetics</topic><topic>RNA-Seq</topic><topic>SARS-CoV-2 - genetics</topic><topic>SARS-CoV-2 - pathogenicity</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>T-Lymphocytes - immunology</topic><topic>T-Lymphocytes - metabolism</topic><topic>T-Lymphocytes - pathology</topic><topic>Transcription Factor AP-1 - genetics</topic><topic>Transcriptome - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Hong-Yi</creatorcontrib><creatorcontrib>Xu, Min</creatorcontrib><creatorcontrib>Yang, Cui-Xian</creatorcontrib><creatorcontrib>Tian, Ren-Rong</creatorcontrib><creatorcontrib>Zhang, Mi</creatorcontrib><creatorcontrib>Li, Jian-Jian</creatorcontrib><creatorcontrib>Wang, Xi-Cheng</creatorcontrib><creatorcontrib>Ding, Zhao-Li</creatorcontrib><creatorcontrib>Li, Gui-Mei</creatorcontrib><creatorcontrib>Li, Xiao-Lu</creatorcontrib><creatorcontrib>He, Yu-Qi</creatorcontrib><creatorcontrib>Dong, Xing-Qi</creatorcontrib><creatorcontrib>Yao, Yong-Gang</creatorcontrib><creatorcontrib>Zheng, Yong-Tang</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</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>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Signal transduction and targeted therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Hong-Yi</au><au>Xu, Min</au><au>Yang, Cui-Xian</au><au>Tian, Ren-Rong</au><au>Zhang, Mi</au><au>Li, Jian-Jian</au><au>Wang, Xi-Cheng</au><au>Ding, Zhao-Li</au><au>Li, Gui-Mei</au><au>Li, Xiao-Lu</au><au>He, Yu-Qi</au><au>Dong, Xing-Qi</au><au>Yao, Yong-Gang</au><au>Zheng, Yong-Tang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Longitudinal transcriptome analyses show robust T cell immunity during recovery from COVID-19</atitle><jtitle>Signal transduction and targeted therapy</jtitle><stitle>Sig Transduct Target Ther</stitle><addtitle>Signal Transduct Target Ther</addtitle><date>2020-12-24</date><risdate>2020</risdate><volume>5</volume><issue>1</issue><spage>294</spage><epage>294</epage><pages>294-294</pages><artnum>294</artnum><issn>2059-3635</issn><issn>2095-9907</issn><eissn>2059-3635</eissn><abstract>Understanding the processes of immune regulation in patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for improving treatment. Here, we performed longitudinal whole-transcriptome RNA sequencing on peripheral blood mononuclear cell (PBMC) samples from 18 patients with coronavirus disease 2019 (COVID-19) during their treatment, convalescence, and rehabilitation. After analyzing the regulatory networks of differentially expressed messenger RNAs (mRNAs), microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) between the different clinical stages, we found that humoral immunity and type I interferon response were significantly downregulated, while robust T-cell activation and differentiation at the whole transcriptome level constituted the main events that occurred during recovery from COVID-19. The formation of this T cell immune response might be driven by the activation of activating protein-1 (AP-1) related signaling pathway and was weakly affected by other clinical features. These findings uncovered the dynamic pattern of immune responses and indicated the key role of T cell immunity in the creation of immune protection against this disease.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33361761</pmid><doi>10.1038/s41392-020-00457-4</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-5469-0324</orcidid><orcidid>https://orcid.org/0000-0002-2955-0693</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2059-3635 |
ispartof | Signal transduction and targeted therapy, 2020-12, Vol.5 (1), p.294-294, Article 294 |
issn | 2059-3635 2095-9907 2059-3635 |
language | eng |
recordid | cdi_pubmed_primary_33361761 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Springer Nature OA Free Journals; Nature Free; EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | 631/114/2785 631/250/255 Cancer Research Cell Biology Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - genetics COVID-19 - pathology Female Humans Immunity, Humoral - genetics Immunity, Humoral - immunology Internal Medicine Leukocytes, Mononuclear - metabolism Lymphocytes Male Medicine Medicine & Public Health MicroRNAs Oncology Pathology RNA, Long Noncoding - genetics RNA-Seq SARS-CoV-2 - genetics SARS-CoV-2 - pathogenicity Severe acute respiratory syndrome coronavirus 2 T-Lymphocytes - immunology T-Lymphocytes - metabolism T-Lymphocytes - pathology Transcription Factor AP-1 - genetics Transcriptome - genetics |
title | Longitudinal transcriptome analyses show robust T cell immunity during recovery from COVID-19 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T01%3A18%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Longitudinal%20transcriptome%20analyses%20show%20robust%20T%20cell%20immunity%20during%20recovery%20from%20COVID-19&rft.jtitle=Signal%20transduction%20and%20targeted%20therapy&rft.au=Zheng,%20Hong-Yi&rft.date=2020-12-24&rft.volume=5&rft.issue=1&rft.spage=294&rft.epage=294&rft.pages=294-294&rft.artnum=294&rft.issn=2059-3635&rft.eissn=2059-3635&rft_id=info:doi/10.1038/s41392-020-00457-4&rft_dat=%3Cproquest_doaj_%3E2473198321%3C/proquest_doaj_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2473198321&rft_id=info:pmid/33361761&rft_doaj_id=oai_doaj_org_article_e6f7687ef96b46f0b7d3c9dacfbea703&rfr_iscdi=true |