# A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates

Article · 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 and 1 more

- Archive id: doi:10.1016/j.cell.2022.11.005
- Published: 2022-12-01
- Venue: Cell
- DOI: https://doi.org/10.1016/j.cell.2022.11.005
- PMID: 36493756
- PMCID: PMC7618435
- Citations: 209
- Source URL: https://doi.org/10.1016/j.cell.2022.11.005
- PDF: https://europepmc.org/articles/PMC7618435/pdf
- Provenance: europepmc

## Abstract

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.

_Abstract reproduced under CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)._

Topics: [Single-Cell & Spatial Omics](https://space-kitty.com/topics/single-cell-spatial), [Organoids & Organ-on-Chip](https://space-kitty.com/topics/organoids)

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