CovidFranceV1, Main, Exploration, bibRecord, 000E25

Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients.

Identifieur interne : 000E25 ( Main/Exploration ); précédent : 000E24; suivant : 000E26

Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients.

Auteurs : Pierre Bost [France] ; Amir Giladi [Israël] ; Yang Liu [République populaire de Chine] ; Yanis Bendjelal [France] ; Gang Xu [République populaire de Chine] ; Eyal David [Israël] ; Ronnie Blecher-Gonen [Israël] ; Merav Cohen [Israël] ; Chiara Medaglia [Israël] ; Hanjie Li [Israël] ; Aleksandra Deczkowska [Israël] ; Shuye Zhang [République populaire de Chine] ; Benno Schwikowski [France] ; Zheng Zhang [République populaire de Chine] ; Ido Amit [Israël]

Source :

Cell [ 1097-4172 ] ; 2020.

RBID : pubmed:32479746

Descripteurs français

KwdFr :
- Analyse de séquence d'ARN (MeSH), Analyse sur cellule unique (MeSH), Animaux (MeSH), Betacoronavirus (isolement et purification), Co-infection (immunologie), Humains (MeSH), Indice de gravité de la maladie (MeSH), Infections à coronavirus (anatomopathologie), Infections à coronavirus (immunologie), Infections à coronavirus (physiopathologie), Infections à coronavirus (virologie), Interactions hôte-pathogène (MeSH), Interférons (immunologie), Logiciel (MeSH), Pandémies (MeSH), Pneumopathie virale (anatomopathologie), Pneumopathie virale (immunologie), Pneumopathie virale (physiopathologie), Pneumopathie virale (virologie), Poumon (anatomopathologie), Sensibilité et spécificité (MeSH).
MESH :
- anatomopathologie : Infections à coronavirus, Pneumopathie virale, Poumon.
- immunologie : Co-infection, Infections à coronavirus, Interférons, Pneumopathie virale.
- isolement et purification : Betacoronavirus.
- physiopathologie : Infections à coronavirus, Pneumopathie virale.
- virologie : Infections à coronavirus, Pneumopathie virale.
- Analyse de séquence d'ARN, Analyse sur cellule unique, Animaux, Humains, Indice de gravité de la maladie, Interactions hôte-pathogène, Logiciel, Pandémies, Sensibilité et spécificité.

English descriptors

KwdEn :
- Animals (MeSH), Betacoronavirus (isolation & purification), Coinfection (immunology), Coronavirus Infections (immunology), Coronavirus Infections (pathology), Coronavirus Infections (physiopathology), Coronavirus Infections (virology), Host-Pathogen Interactions (MeSH), Humans (MeSH), Interferons (immunology), Lung (pathology), Pandemics (MeSH), Pneumonia, Viral (immunology), Pneumonia, Viral (pathology), Pneumonia, Viral (physiopathology), Pneumonia, Viral (virology), Sensitivity and Specificity (MeSH), Sequence Analysis, RNA (MeSH), Severity of Illness Index (MeSH), Single-Cell Analysis (MeSH), Software (MeSH).
MESH :
- chemical , immunology : Interferons.
- immunology : Coinfection, Coronavirus Infections, Pneumonia, Viral.
- isolation & purification : Betacoronavirus.
- pathology : Coronavirus Infections, Lung, Pneumonia, Viral.
- physiopathology : Coronavirus Infections, Pneumonia, Viral.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Animals, Host-Pathogen Interactions, Humans, Pandemics, Sensitivity and Specificity, Sequence Analysis, RNA, Severity of Illness Index, Single-Cell Analysis, Software.

Abstract

Viruses are a constant threat to global health as highlighted by the current COVID-19 pandemic. Currently, lack of data underlying how the human host interacts with viruses, including the SARS-CoV-2 virus, limits effective therapeutic intervention. We introduce Viral-Track, a computational method that globally scans unmapped single-cell RNA sequencing (scRNA-seq) data for the presence of viral RNA, enabling transcriptional cell sorting of infected versus bystander cells. We demonstrate the sensitivity and specificity of Viral-Track to systematically detect viruses from multiple models of infection, including hepatitis B virus, in an unsupervised manner. Applying Viral-Track to bronchoalveloar-lavage samples from severe and mild COVID-19 patients reveals a dramatic impact of the virus on the immune system of severe patients compared to mild cases. Viral-Track detects an unexpected co-infection of the human metapneumovirus, present mainly in monocytes perturbed in type-I interferon (IFN)-signaling. Viral-Track provides a robust technology for dissecting the mechanisms of viral-infection and pathology.

DOI: 10.1016/j.cell.2020.05.006
PubMed: 32479746
PubMed Central: PMC7205692

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 001012
to stream Main, to step Curation: 001012

Le document en format XML

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<author><name sortKey="Zhang, Zheng" sort="Zhang, Zheng" uniqKey="Zhang Z" first="Zheng" last="Zhang">Zheng Zhang</name>
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<affiliation wicri:level="3"><nlm:affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel; Systems Biology Group, Department of Computational Biology and USR 3756, Institut Pasteur and CNRS, Paris 75015, France; Sorbonne Universite, Complexite du vivant, Paris 75005, France.</nlm:affiliation>
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<author><name sortKey="Bendjelal, Yanis" sort="Bendjelal, Yanis" uniqKey="Bendjelal Y" first="Yanis" last="Bendjelal">Yanis Bendjelal</name>
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<author><name sortKey="Xu, Gang" sort="Xu, Gang" uniqKey="Xu G" first="Gang" last="Xu">Gang Xu</name>
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<author><name sortKey="David, Eyal" sort="David, Eyal" uniqKey="David E" first="Eyal" last="David">Eyal David</name>
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<author><name sortKey="Blecher Gonen, Ronnie" sort="Blecher Gonen, Ronnie" uniqKey="Blecher Gonen R" first="Ronnie" last="Blecher-Gonen">Ronnie Blecher-Gonen</name>
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<author><name sortKey="Cohen, Merav" sort="Cohen, Merav" uniqKey="Cohen M" first="Merav" last="Cohen">Merav Cohen</name>
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<country xml:lang="fr">Israël</country>
<wicri:regionArea>Department of Immunology, Weizmann Institute of Science, Rehovot</wicri:regionArea>
<wicri:noRegion>Rehovot</wicri:noRegion>
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<author><name sortKey="Medaglia, Chiara" sort="Medaglia, Chiara" uniqKey="Medaglia C" first="Chiara" last="Medaglia">Chiara Medaglia</name>
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<wicri:regionArea>Department of Immunology, Weizmann Institute of Science, Rehovot</wicri:regionArea>
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<author><name sortKey="Li, Hanjie" sort="Li, Hanjie" uniqKey="Li H" first="Hanjie" last="Li">Hanjie Li</name>
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<author><name sortKey="Deczkowska, Aleksandra" sort="Deczkowska, Aleksandra" uniqKey="Deczkowska A" first="Aleksandra" last="Deczkowska">Aleksandra Deczkowska</name>
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<country xml:lang="fr">Israël</country>
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<wicri:noRegion>Rehovot</wicri:noRegion>
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<author><name sortKey="Zhang, Shuye" sort="Zhang, Shuye" uniqKey="Zhang S" first="Shuye" last="Zhang">Shuye Zhang</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Shanghai Public Health Clinical Center and Institute of Biomedical Sciences, Fudan University, Shanghai 201508</wicri:regionArea>
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<author><name sortKey="Schwikowski, Benno" sort="Schwikowski, Benno" uniqKey="Schwikowski B" first="Benno" last="Schwikowski">Benno Schwikowski</name>
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<country xml:lang="fr">France</country>
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<author><name sortKey="Zhang, Zheng" sort="Zhang, Zheng" uniqKey="Zhang Z" first="Zheng" last="Zhang">Zheng Zhang</name>
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<author><name sortKey="Amit, Ido" sort="Amit, Ido" uniqKey="Amit I" first="Ido" last="Amit">Ido Amit</name>
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<country xml:lang="fr">Israël</country>
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<wicri:noRegion>Rehovot</wicri:noRegion>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals (MeSH)</term>
<term>Betacoronavirus (isolation & purification)</term>
<term>Coinfection (immunology)</term>
<term>Coronavirus Infections (immunology)</term>
<term>Coronavirus Infections (pathology)</term>
<term>Coronavirus Infections (physiopathology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Host-Pathogen Interactions (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Interferons (immunology)</term>
<term>Lung (pathology)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (immunology)</term>
<term>Pneumonia, Viral (pathology)</term>
<term>Pneumonia, Viral (physiopathology)</term>
<term>Pneumonia, Viral (virology)</term>
<term>Sensitivity and Specificity (MeSH)</term>
<term>Sequence Analysis, RNA (MeSH)</term>
<term>Severity of Illness Index (MeSH)</term>
<term>Single-Cell Analysis (MeSH)</term>
<term>Software (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de séquence d'ARN (MeSH)</term>
<term>Analyse sur cellule unique (MeSH)</term>
<term>Animaux (MeSH)</term>
<term>Betacoronavirus (isolement et purification)</term>
<term>Co-infection (immunologie)</term>
<term>Humains (MeSH)</term>
<term>Indice de gravité de la maladie (MeSH)</term>
<term>Infections à coronavirus (anatomopathologie)</term>
<term>Infections à coronavirus (immunologie)</term>
<term>Infections à coronavirus (physiopathologie)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Interactions hôte-pathogène (MeSH)</term>
<term>Interférons (immunologie)</term>
<term>Logiciel (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (anatomopathologie)</term>
<term>Pneumopathie virale (immunologie)</term>
<term>Pneumopathie virale (physiopathologie)</term>
<term>Pneumopathie virale (virologie)</term>
<term>Poumon (anatomopathologie)</term>
<term>Sensibilité et spécificité (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="immunology" xml:lang="en"><term>Interferons</term>
</keywords>
<keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Poumon</term>
</keywords>
<keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Co-infection</term>
<term>Infections à coronavirus</term>
<term>Interférons</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Coinfection</term>
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Lung</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Host-Pathogen Interactions</term>
<term>Humans</term>
<term>Pandemics</term>
<term>Sensitivity and Specificity</term>
<term>Sequence Analysis, RNA</term>
<term>Severity of Illness Index</term>
<term>Single-Cell Analysis</term>
<term>Software</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Analyse de séquence d'ARN</term>
<term>Analyse sur cellule unique</term>
<term>Animaux</term>
<term>Humains</term>
<term>Indice de gravité de la maladie</term>
<term>Interactions hôte-pathogène</term>
<term>Logiciel</term>
<term>Pandémies</term>
<term>Sensibilité et spécificité</term>
</keywords>
</textClass>
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<front><div type="abstract" xml:lang="en">Viruses are a constant threat to global health as highlighted by the current COVID-19 pandemic. Currently, lack of data underlying how the human host interacts with viruses, including the SARS-CoV-2 virus, limits effective therapeutic intervention. We introduce Viral-Track, a computational method that globally scans unmapped single-cell RNA sequencing (scRNA-seq) data for the presence of viral RNA, enabling transcriptional cell sorting of infected versus bystander cells. We demonstrate the sensitivity and specificity of Viral-Track to systematically detect viruses from multiple models of infection, including hepatitis B virus, in an unsupervised manner. Applying Viral-Track to bronchoalveloar-lavage samples from severe and mild COVID-19 patients reveals a dramatic impact of the virus on the immune system of severe patients compared to mild cases. Viral-Track detects an unexpected co-infection of the human metapneumovirus, present mainly in monocytes perturbed in type-I interferon (IFN)-signaling. Viral-Track provides a robust technology for dissecting the mechanisms of viral-infection and pathology.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32479746</PMID>
<DateCompleted><Year>2020</Year>
<Month>07</Month>
<Day>10</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>25</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1097-4172</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>181</Volume>
<Issue>7</Issue>
<PubDate><Year>2020</Year>
<Month>06</Month>
<Day>25</Day>
</PubDate>
</JournalIssue>
<Title>Cell</Title>
<ISOAbbreviation>Cell</ISOAbbreviation>
</Journal>
<ArticleTitle>Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients.</ArticleTitle>
<Pagination><MedlinePgn>1475-1488.e12</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0092-8674(20)30568-7</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.cell.2020.05.006</ELocationID>
<Abstract><AbstractText>Viruses are a constant threat to global health as highlighted by the current COVID-19 pandemic. Currently, lack of data underlying how the human host interacts with viruses, including the SARS-CoV-2 virus, limits effective therapeutic intervention. We introduce Viral-Track, a computational method that globally scans unmapped single-cell RNA sequencing (scRNA-seq) data for the presence of viral RNA, enabling transcriptional cell sorting of infected versus bystander cells. We demonstrate the sensitivity and specificity of Viral-Track to systematically detect viruses from multiple models of infection, including hepatitis B virus, in an unsupervised manner. Applying Viral-Track to bronchoalveloar-lavage samples from severe and mild COVID-19 patients reveals a dramatic impact of the virus on the immune system of severe patients compared to mild cases. Viral-Track detects an unexpected co-infection of the human metapneumovirus, present mainly in monocytes perturbed in type-I interferon (IFN)-signaling. Viral-Track provides a robust technology for dissecting the mechanisms of viral-infection and pathology.</AbstractText>
<CopyrightInformation>Copyright © 2020 Elsevier Inc. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bost</LastName>
<ForeName>Pierre</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel; Systems Biology Group, Department of Computational Biology and USR 3756, Institut Pasteur and CNRS, Paris 75015, France; Sorbonne Universite, Complexite du vivant, Paris 75005, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Giladi</LastName>
<ForeName>Amir</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liu</LastName>
<ForeName>Yang</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, Guangdong Province, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bendjelal</LastName>
<ForeName>Yanis</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Systems Biology Group, Department of Computational Biology and USR 3756, Institut Pasteur and CNRS, Paris 75015, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Xu</LastName>
<ForeName>Gang</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, Guangdong Province, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>David</LastName>
<ForeName>Eyal</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Blecher-Gonen</LastName>
<ForeName>Ronnie</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cohen</LastName>
<ForeName>Merav</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Medaglia</LastName>
<ForeName>Chiara</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Hanjie</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Deczkowska</LastName>
<ForeName>Aleksandra</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Shuye</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Shanghai Public Health Clinical Center and Institute of Biomedical Sciences, Fudan University, Shanghai 201508, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Schwikowski</LastName>
<ForeName>Benno</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Systems Biology Group, Department of Computational Biology and USR 3756, Institut Pasteur and CNRS, Paris 75015, France. Electronic address: benno@pasteur.fr.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Zheng</ForeName>
<Initials>Z</Initials>
<AffiliationInfo><Affiliation>Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518112, Guangdong Province, China. Electronic address: zhangzheng1975@aliyun.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Amit</LastName>
<ForeName>Ido</ForeName>
<Initials>I</Initials>
<AffiliationInfo><Affiliation>Department of Immunology, Weizmann Institute of Science, Rehovot, Israel. Electronic address: ido.amit@weizmann.ac.il.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D023362">Evaluation Study</PublicationType>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>05</Month>
<Day>08</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Cell</MedlineTA>
<NlmUniqueID>0413066</NlmUniqueID>
<ISSNLinking>0092-8674</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>9008-11-1</RegistryNumber>
<NameOfSubstance UI="D007372">Interferons</NameOfSubstance>
</Chemical>
</ChemicalList>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D060085" MajorTopicYN="N">Coinfection</DescriptorName>
<QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D054884" MajorTopicYN="Y">Host-Pathogen Interactions</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007372" MajorTopicYN="N">Interferons</DescriptorName>
<QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008168" MajorTopicYN="N">Lung</DescriptorName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017423" MajorTopicYN="N">Sequence Analysis, RNA</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012720" MajorTopicYN="N">Severity of Illness Index</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D059010" MajorTopicYN="N">Single-Cell Analysis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012984" MajorTopicYN="Y">Software</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">Viral-Track</Keyword>
<Keyword MajorTopicYN="Y">single-cell RNA-seq</Keyword>
<Keyword MajorTopicYN="Y">virus host interactions</Keyword>
</KeywordList>
<CoiStatement>Declaration of Interests The authors declare no competing interests.</CoiStatement>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>03</Month>
<Day>30</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>04</Month>
<Day>16</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>05</Month>
<Day>01</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>6</Month>
<Day>2</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>7</Month>
<Day>11</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<Month>6</Month>
<Day>2</Day>
<Hour>6</Hour>
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<ArticleId IdType="doi">10.1016/j.cell.2020.05.006</ArticleId>
<ArticleId IdType="pmc">PMC7205692</ArticleId>
</ArticleIdList>
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<affiliations><list><country><li>France</li>
<li>Israël</li>
<li>République populaire de Chine</li>
</country>
<region><li>Île-de-France</li>
</region>
</list>
<tree><country name="France"><region name="Île-de-France"><name sortKey="Bost, Pierre" sort="Bost, Pierre" uniqKey="Bost P" first="Pierre" last="Bost">Pierre Bost</name>
</region>
<name sortKey="Bendjelal, Yanis" sort="Bendjelal, Yanis" uniqKey="Bendjelal Y" first="Yanis" last="Bendjelal">Yanis Bendjelal</name>
<name sortKey="Schwikowski, Benno" sort="Schwikowski, Benno" uniqKey="Schwikowski B" first="Benno" last="Schwikowski">Benno Schwikowski</name>
</country>
<country name="Israël"><noRegion><name sortKey="Giladi, Amir" sort="Giladi, Amir" uniqKey="Giladi A" first="Amir" last="Giladi">Amir Giladi</name>
</noRegion>
<name sortKey="Amit, Ido" sort="Amit, Ido" uniqKey="Amit I" first="Ido" last="Amit">Ido Amit</name>
<name sortKey="Blecher Gonen, Ronnie" sort="Blecher Gonen, Ronnie" uniqKey="Blecher Gonen R" first="Ronnie" last="Blecher-Gonen">Ronnie Blecher-Gonen</name>
<name sortKey="Cohen, Merav" sort="Cohen, Merav" uniqKey="Cohen M" first="Merav" last="Cohen">Merav Cohen</name>
<name sortKey="David, Eyal" sort="David, Eyal" uniqKey="David E" first="Eyal" last="David">Eyal David</name>
<name sortKey="Deczkowska, Aleksandra" sort="Deczkowska, Aleksandra" uniqKey="Deczkowska A" first="Aleksandra" last="Deczkowska">Aleksandra Deczkowska</name>
<name sortKey="Li, Hanjie" sort="Li, Hanjie" uniqKey="Li H" first="Hanjie" last="Li">Hanjie Li</name>
<name sortKey="Medaglia, Chiara" sort="Medaglia, Chiara" uniqKey="Medaglia C" first="Chiara" last="Medaglia">Chiara Medaglia</name>
</country>
<country name="République populaire de Chine"><noRegion><name sortKey="Liu, Yang" sort="Liu, Yang" uniqKey="Liu Y" first="Yang" last="Liu">Yang Liu</name>
</noRegion>
<name sortKey="Xu, Gang" sort="Xu, Gang" uniqKey="Xu G" first="Gang" last="Xu">Gang Xu</name>
<name sortKey="Zhang, Shuye" sort="Zhang, Shuye" uniqKey="Zhang S" first="Shuye" last="Zhang">Shuye Zhang</name>
<name sortKey="Zhang, Zheng" sort="Zhang, Zheng" uniqKey="Zhang Z" first="Zheng" last="Zhang">Zheng Zhang</name>
</country>
</tree>
</affiliations>
</record>

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Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients.

Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients.

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