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Sikkema, L. ; Ramirez Suastegui, C. ; Strobl, D.C. ; Gillett, T.E.* ; Zappia, L. ; Madissoon, E.* ; Markov, N.S.* ; Zaragosi, L.E.* ; Ji, Y. ; Ansari, M. ; Arguel, M.J.* ; Apperloo, L.* ; Banchero, M.* ; Bécavin, C.* ; Berg, M.* ; Chichelnitskiy, E.* ; Chung, M.I.* ; Collin, A.* ; Gay, A.C.A.* ; Schniering, J. ; Hooshiar Kashani, B. ; Inecik, K. ; Jain, M.* ; Kapellos, T. ; Kole, T.M.* ; Leroy, S.* ; Mayr, C. ; Oliver, A.J.* ; von Papen, M.* ; Peter, L.* ; Taylor, C.J.* ; Walzthoeni, T. ; Xu, C.* ; Bui, L.T.* ; De Donno, C. ; Dony, L. ; Faiz, A.* ; Guo, M.* ; Gutierrez, A.J.* ; Heumos, L. ; Huang, N.* ; Ibarra Del Rio, I.A. ; Jackson, N.D.* ; Kadur Lakshminarasimha Murthy, P.* ; Lotfollahi, M. ; Tabib, T.* ; Talavera Lopez, C.N. ; Travaglini, K.J.* ; Wilbrey-Clark, A.* ; Worlock, K.B.* ; Yoshida, M.* ; van den Berge, M.* ; Bossé, Y.* ; Desai, T.J.* ; Eickelberg, O.* ; Kaminski, N.* ; Krasnow, M.A.* ; Lafyatis, R.* ; Nikolić, M.Z.* ; Powell, J.E.* ; Rajagopal, J.* ; Rojas, M.* ; Rozenblatt-Rosen, O.* ; Seibold, M.A.* ; Sheppard, D.* ; Shepherd, D.P.* ; Sin, D.D.* ; Timens, W.* ; Tsankov, A.M.* ; Whitsett, J.* ; Xu, Y.* ; Banovich, N.E.* ; Barbry, P.* ; Duong, T.E.* ; Falk, C.S.* ; Meyer, K.B.* ; Kropski, J.A.* ; Pe'er, D.* ; Schiller, H. ; Tata, P.R.* ; Schultze, J.L.* ; Teichmann, S.A.* ; Misharin, A.V.* ; Nawijn, M.C.* ; Luecken, M. ; Theis, F.J.

An integrated cell atlas of the lung in health and disease.

Nat. Med. 29, 1563-1577 (2023)
DOI PMC
Creative Commons Lizenzvertrag
Open Access Green as soon as Postprint is submitted to ZB.
Single-cell technologies have transformed our understanding of human tissues. Yet, studies typically capture only a limited number of donors and disagree on cell type definitions. Integrating many single-cell datasets can address these limitations of individual studies and capture the variability present in the population. Here we present the integrated Human Lung Cell Atlas (HLCA), combining 49 datasets of the human respiratory system into a single atlas spanning over 2.4 million cells from 486 individuals. The HLCA presents a consensus cell type re-annotation with matching marker genes, including annotations of rare and previously undescribed cell types. Leveraging the number and diversity of individuals in the HLCA, we identify gene modules that are associated with demographic covariates such as age, sex and body mass index, as well as gene modules changing expression along the proximal-to-distal axis of the bronchial tree. Mapping new data to the HLCA enables rapid data annotation and interpretation. Using the HLCA as a reference for the study of disease, we identify shared cell states across multiple lung diseases, including SPP1+ profibrotic monocyte-derived macrophages in COVID-19, pulmonary fibrosis and lung carcinoma. Overall, the HLCA serves as an example for the development and use of large-scale, cross-dataset organ atlases within the Human Cell Atlas.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Enrichment; Fibrosis
ISSN (print) / ISBN 1078-8956
e-ISSN 1546-170X
Journal Nature medicine
Quellenangaben Volume: 29, Issue: 6, Pages: 1563-1577 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Publishing Place New York, NY
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
Lung Health and Immunity (LHI)
CF Genomics (CF-GEN)
Grants Wellcome Trust