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Early human fetal lung atlas reveals the temporal dynamics of epithelial cell plasticity [scRNAseq-hPSC]

GSE266789 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2024/06/04 Platform GPL24676
Summary
While animal models have provided key insights into conserved mechanisms of how the lung forms during development, human-specific developmental mechanisms are not always captured. To fully appreciate how developmental defects and disease states alter the function of the lungs, studies in human lung models are important. Here, we sequenced >150,000 single single-cells from 19 healthy human fetal lung tissues from gestational weeks 10-19 and identified at least 58 unique cell types/states contributing to the developing lung. We captured novel dynamic developmental trajectories from various progenitor cells that give rise to ciliated, pulmonary neuroendocrine cells, and other specialized cell types. We also identified four CFTR-expressing progenitor cell types and pinpointed the temporal emergence and spatial localization of these cell types. These developmental dynamics reveal broader epithelial cell plasticity and novel lineage hierarchies that were not previously reported. Combined with spatial transcriptomics, we identified both cell autonomous and non-cell autonomous signalling pathways that may dictate the temporal and spatial emergence of cell lineages. Finally, we showed that human pluripotent stem cell (hPSC)-derived fetal lung models capture similar cell lineage trajectories specifically through progenitor cells that express abundant levels of the CFTR gene. Overall, this study provides a comprehensive single-cell atlas of the developing human lung, outlining the temporal and spatial complexities of cell lineage development and benchmarks fetal lung cultures from hPSC differentiations to similar developmental window.
Published in
Early human fetal lung atlas reveals the temporal dynamics of epithelial cell plasticity
Quach H, Farrell S, Wu MJM et al. · Nature communications 2024 · PMID 39003323 · doi:10.1038/s41467-024-50281-5
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Direct links to NCBI, no account and no request form: the whole study as GSE266789_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1108329 and SRA study SRP506004. Searching any of these in the dataset finder brings you back here.

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