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Publication Detail
A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates
  • Publication Type:
    Journal article
  • Authors:
    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, Nikolić MZ, Janes SM, He X, Barker RA, Teichmann SA, Marioni JC, Meyer KB, Rawlins EL
  • Publisher:
    Elsevier BV
  • Publication date:
  • Pagination:
    4841, 4860.e25
  • Journal:
  • Volume:
  • Issue:
  • Medium:
  • Status:
  • Country:
    United States
  • PII:
  • Language:
  • Notes:
    © 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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.
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