CellDevelopmental BiologyPeer-reviewed journal article
A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates
Peng HeiD, Kyungtae LimiD, Dawei SuniD, J. Patrick PettiD, Quitz Jeng, Krzysztof PolańskiiD, Ziqi DongiD, Liam BoltiD, Laura RichardsoniD, Lira MamanovaiD, Monika H. Dabrowska, Anna Wilbrey-ClarkiD, Elo MadissooniD, Zewen Kelvin TuongiD, Emma DanniD, Chenqu SuoiD, Issac GohiD, Masahiro YoshidaiD, Marko NikolićiD, Sam M. JanesiD, Xiaoling HeiD, Roger A. BarkeriD, Sarah Amalia TeichmanniD, John C. MarioniiD, Kerstin B. MeyeriD, Emma L. RawlinsiD
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 new cell states in all compartments. These include developmental-specific secretory progenitors and a new subtype of neuroendocrine cell related to human small cell lung cancer. Our datasets are available through our web interface (https://lungcellatlas.org). 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. HighlightsO_LISpatiotemporal atlas of human lung development from 5-22 post conception weeks identifies 144 cell types/states. C_LIO_LITracking the developmental origins of multiple cell compartments, including new progenitor states. C_LIO_LIFunctional diversity of fibroblasts in distinct anatomical signalling niches. C_LIO_LIResource applied to interrogate and experimentally test the transcription factor code controlling neuroendocrine cell heterogeneity and the origins of small cell lung cancer. C_LI
- organism: human
- assay: scRNA-seq
- assay: scATAC-seq
- assay: spatial transcriptomics
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- Citations
- 229
- FWCI
- 13.71
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Developmental origins of cell heterogeneity in the human lung
Alexandros Sountoulidis, Sergio Marco Salas, … Christos Samakovlis·bioRxiv·Jan 11, 2022
- Early human fetal lung atlas reveals the temporal dynamics of epithelial cell plasticity.
Henry Quach, Spencer Farrell, … Amy P. Wong·Nature CommunicationsPeer-reviewed·Jul 13, 2024
- Single cell transcriptomic profiling identifies molecular phenotypes of newborn human lung cells
Soumyaroop Bhattacharya, Jacquelyn Myers, … Thomas J. Mariani·GenesPeer-reviewed·Feb 26, 2024
- A single-cell atlas of human fetal lung development between 14 and 19 weeks of gestation
Laurent Renesme, Flore Lesage, … Bernard Thébaud·bioRxiv·Dec 23, 2021
- A Single Cell Atlas of Lung Development
Nicholas M. Negretti, Erin J. Plosa, … Jennifer M. S. Sucre·bioRxiv·Jan 21, 2021
- An integrated single-cell atlas of human lung across the lifespan
Liangfeng Huang, Ziliang Huang, … Zhichao Miao·bioRxiv·Jul 30, 2026