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dc.date.accessioned2022-03-18T14:21:05Z
dc.date.available2022-03-18T14:21:05Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/141284
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>Patients with chronic lung disease (CLD) have an increased risk for severe coronavirus disease-19 (COVID-19) and poor outcomes. Here, we analyze the transcriptomes of 611,398 single cells isolated from healthy and CLD lungs to identify molecular characteristics of lung cells that may account for worse COVID-19 outcomes in patients with chronic lung diseases. We observe a similar cellular distribution and relative expression of SARS-CoV-2 entry factors in control and CLD lungs. CLD AT2 cells express higher levels of genes linked directly to the efficiency of viral replication and the innate immune response. Additionally, we identify basal differences in inflammatory gene expression programs that highlight how CLD alters the inflammatory microenvironment encountered upon viral exposure to the peripheral lung. Our study indicates that CLD is accompanied by changes in cell-type-specific gene expression programs that prime the lung epithelium for and influence the innate and adaptive immune responses to SARS-CoV-2 infection.</jats:p>en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/S41467-021-24467-0en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleChronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severityen_US
dc.typeArticleen_US
dc.identifier.citation2021. "Chronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severity." Nature Communications, 12 (1).
dc.relation.journalNature Communicationsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-03-18T14:18:17Z
dspace.orderedauthorsBui, LT; Winters, NI; Chung, M-I; Joseph, C; Gutierrez, AJ; Habermann, AC; Adams, TS; Schupp, JC; Poli, S; Peter, LM; Taylor, CJ; Blackburn, JB; Richmond, BW; Nicholson, AG; Rassl, D; Wallace, WA; Rosas, IO; Jenkins, RG; Kaminski, N; Kropski, JA; Banovich, NE; Misharin, AV; Tsankov, AM; Spira, A; Barbry, P; Brazma, A; Samakovlis, C; Shepherd, DP; Rawlins, EL; Theis, FJ; Griffonnet, J; Lee, H; Schiller, HB; Hofman, P; Powell, JE; Schultze, JL; Whitsett, J; Choi, J; Lundeberg, J; Kaminski, N; Kropski, JA; Banovich, NE; Ordovas-Montanes, J; Rajagopal, J; Meyer, KB; Krasnow, MA; Saeb-Parsy, K; Zhang, K; Lafyatis, R; Leroy, S; Haniffa, M; Nawijn, MC; Nikolić, MZ; van den Berge, M; Kuhnemund, M; Marquette, C-H; Von Papen, M; Eickelberg, O; Rosenblatt-Rosen, O; Reyfman, PA; Pe’er, D; Horvath, P; Tata, PR; Regev, A; Rojas, M; Seibold, MA; Shalek, AK; Spence, JR; Teichmann, SA; Quake, S; Duong, TE; Biancalani, T; Desai, T; Sun, X; Zaragosi, LEen_US
dspace.date.submission2022-03-18T14:18:19Z
mit.journal.volume12en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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