Single cell transcriptomic profiling identifies molecular phenotypes of newborn human lung cells
Soumyaroop Bhattacharya, Jacquelyn L. Myers, Cameron Baker, Minzhe Guo, Soula Danopoulos, Jason R. Myers, Gautam Bandyopadhyay, Stephen Romas, Heidie L. Huyck, Ravi S. Misra, Jennifer Dutra, Jeanne Holden-Wiltse, Andrew McDavid, John M. Ashton, Denise Al Alam, S. Steven Potter, Jeffrey A. Whitsett, Yan Xu, Gloria S. Pryhuber, Thomas J. Mariani
Abstract
While animal model studies have extensively defined the mechanisms controlling cell diversity in the developing mammalian lung, there exists a significant knowledge gap with regards to late-stage human lung development. The NHLBI Molecular Atlas of Lung Development Program (LungMAP) seeks to fill this gap by creating a structural, cellular and molecular atlas of the human and mouse lung. Transcriptomic profiling at the single-cell level created a cellular atlas of newborn human lungs. Frozen single-cell isolates obtained from two newborn human lungs from the LungMAP Human Tissue Core Biorepository, were captured, and library preparation was completed on the Chromium 10X system. Data was analyzed in Seurat, and cellular annotation was performed using the ToppGene functional analysis tool. Transcriptional interrogation of 5500 newborn human lung cells identified distinct clusters representing multiple populations of epithelial, endothelial, fibroblasts, pericytes, smooth muscle, immune cells and their gene signatures. Computational integration of data from newborn human cells and with 32,000 cells from postnatal days 1 through 10 mouse lungs generated by the LungMAP Cincinnati Research Center facilitated the identification of distinct cellular lineages among all the major cell types. Integration of the newborn human and mouse cellular transcriptomes also demonstrated cell type-specific differences in maturation states of newborn human lung cells. Specifically, newborn human lung matrix fibroblasts could be separated into those representative of younger cells (n = 393), or older cells (n = 158). Cells with each molecular profile were spatially resolved within newborn human lung tissue. This is the first comprehensive molecular map of the cellular landscape of neonatal human lung, including biomarkers for cells at distinct states of maturity.
Datasets
1. Single cell transcriptomic profiling identifies molecular phenotypes of newborn human lung cells
Analyze this study
Source data
https://cellxgene.cziscience.com/collections/28e9d721-6816-48a2-8d0b-43bf0b0c0ebc
Alias names
PMID38540357, PMC10970229
Cite this study
Bhattacharya, S., Myers, J.A., Baker, C., Guo, M., Danopoulos, S., Myers, J.R., Bandyopadhyay, G., Romas, S.T., Huyck, H.L., Misra, R.S. and Dutra, J., 2024. Single-Cell Transcriptomic Profiling Identifies Molecular Phenotypes of Newborn Human Lung Cells. Genes, 15(3), p.298. https://doi.org/10.3390/genes15030298