{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["He P"],"funding":["Medical Research Council","Rosetrees","Wellcome Trust"],"pagination":["4841-4860.e25"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7618435"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["185(25)"],"pubmed_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 transcrip"],"journal":["Cell"],"pubmed_title":["A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates."],"pmcid":["PMC7618435"],"funding_grant_id":["MR/S035907/1","MR/P009581/1","M899","MC_PC_17230","222275/Z/20/Z","MR/R015635/1","G108/596","MR/W00111X/1","109146/Z/15/Z","MR/S036334/1","MR/R006237/1","203144/Z/16/Z","225221","MR/S005579/1"],"pubmed_authors":["Meyer KB","Dong Z","Mamanova L","Tuong ZK","Jeng Q","Rawlins EL","Bolt L","Pett JP","Madissoon E","Goh I","Dann E","Sun D","Suo C","Yoshida M","Nikolic MZ","Richardson L","Wilbrey-Clark A","He P","Polanski K","Dabrowska M","He X","Janes SM","Lim K","Marioni JC","Barker RA","Teichmann SA"],"additional_accession":[]},"is_claimable":false,"name":"A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates.","description":"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 transcrip","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Dec","modification":"2026-06-05T23:19:15.585Z","creation":"2026-05-23T03:13:51.8Z"},"accession":"S-EPMC7618435","cross_references":{"pubmed":["36493756"],"doi":["10.1016/j.cell.2022.11.005"]}}