A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates
Updated August 30, 2022We 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 new cell states in all compartments. These include developmental-specific secretory progenitors that resemble cells in adult fibrotic lungs and a new subtype of neuroendocrine cell related to human small cell lung cancer; observations which strengthen the connections between development and disease/regeneration. Our datasets are available for the community to download and interact with through our web interface ( https://fetal-lung.cellgeni.sanger.ac.uk ). Finally, to illustrate its general utility, we use our cell atlas to generate predictions about cell-cell signalling and transcription factor hierarchies which we test using organoid models. Highlights Spatiotemporal atlas of human lung development from 5-22 post conception weeks identifies 147 cell types/states. Tracking the developmental origins of multiple cell compartments, including new progenitor states. Functional diversity of fibroblasts in distinct anatomical signalling niches. Resource applied to interrogate and experimentally test the transcription factor code controlling neuroendocrine cell heterogeneity and the origins of small cell lung cancer.
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Atlas
Analysis Portals
NoneProject Label
FetalLungImmuneSpecies
Homo sapiens
Sample Type
Anatomical Entity
Organ Part
Selected Cell Types
Unspecified
Model Organ
lung
Disease Status (Specimen)
normal
Disease Status (Donor)
normal
Development Stage
Library Construction Method
Nucleic Acid Source
single cell
Paired End
falseAnalysis Protocol
processed_matrix_ap, raw_matrix_ap, visium_matrix_apFile Format
Cell Count Estimate
78.9kDonor Count
38