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Lookup NU author(s): Issac Goh
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2022 The Author(s)We present a multiomic cell atlas of human lung development that combines single-cell RNA and ATAC sequencing, high-throughput spatial transcriptomics, and single-cell imaging. Coupling single-cell methods with spatial analysis has allowed a comprehensive cellular survey of the epithelial, mesenchymal, endothelial, and erythrocyte/leukocyte compartments from 5–22 post-conception weeks. We identify previously uncharacterized cell states in all compartments. These include developmental-specific secretory progenitors and a subtype of neuroendocrine cell related to human small cell lung cancer. Our datasets are available through our web interface (https://lungcellatlas.org). To illustrate its general utility, we use our cell atlas to generate predictions about cell-cell signaling and transcription factor hierarchies which we rigorously test using organoid models.
Author(s): He P, Lim K, Sun D, Pett JP, Jeng Q, Polanski K, Dong Z, Bolt L, Richardson L, Mamanova L, Dabrowska M, Wilbrey-Clark A, Madissoon E, Tuong ZK, Dann E, Suo C, Goh I, Yoshida M, Nikolic MZ, Janes SM, He X, Barker RA, Teichmann SA, Marioni JC, Meyer KB, Rawlins EL
Publication type: Article
Publication status: Published
Print publication date: 08/12/2022
Online publication date: 08/12/2022
Acceptance date: 03/11/2022
Date deposited: 05/01/2023
ISSN (print): 0092-8674
ISSN (electronic): 1097-4172
Publisher: Elsevier B.V.
PubMed id: 36493756
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