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

Cell. 2022 Dec 8;185(25):4841-4860.e25. doi: 10.1016/j.cell.2022.11.005.

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.

Keywords: differentiation; epigenetics; fibroblast; genomics; multiomic; organoids; perturbation; single-cell; spatial; transcription factor.

MeSH terms

  • Atlases as Topic
  • Cell Differentiation
  • Fetus* / cytology
  • Gene Expression Profiling
  • Humans
  • Lung* / cytology
  • Organogenesis
  • Organoids