Cell Population–resolved Multiomics Atlas of the Developing Lung

The lung is a vital organ that undergoes extensive morphological and functional changes during postnatal development. To disambiguate how different cell populations contribute to organ development, we performed proteomic and transcriptomic analyses of four sorted cell populations from the lung of human subjects 0-8 years of age with a focus on early life. The cell populations analyzed included epithelial, endothelial, mesenchymal, and immune cells. Our results revealed distinct molecular signatures for each of the sorted cell populations that enable the description of molecular shifts occurring in these populations during postnatal development. We confirmed that the proteome of the different cell populations was distinct regardless of age and identified functions specific to each population. We identified a series of cell population protein markers, including those located at the cell surface, that show differential expression and distribution on RNA <i>in situ</i> hybridization and immunofluorescence imaging. We validated the spatial distribution of alveolar type 1 and endothelial cell surface markers. Temporal analyses of the proteomes of the four populations revealed processes modulated during postnatal development and clarified the findings obtained from whole-tissue proteome studies. Finally, the proteome was compared with a transcriptomics survey performed on the same lung samples to evaluate processes under post-transcriptional control.

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Publication Details

Journal
American Journal of Respiratory Cell and Molecular Biology
Published
2024-10-24
DOI
https://doi.org/10.1165/rcmb.2024-0105oc
Citations
4
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
1.14

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article

Cell Population–resolved Multiomics Atlas of the Developing Lung

Gloria Pryhuber, Gautam Bandyopadhyay, Gail H. Deutsch, Jeffrey M. Purkerson et al.
4 citations
American Journal of Respiratory Cell and Molecular Biology
Cancer Genomics and Diagnostics
1.14
article

Cell Population–resolved Multiomics Atlas of the Developing Lung

Gloria Pryhuber, Gautam Bandyopadhyay, Gail H. Deutsch, Jeffrey M. Purkerson, Karl Weitz, Cory Poole, Soumyaroop Bhattacharya, Ravi Misra, Heather E. Olson, Mereena George Ushakumary, Heidi L. Huyck, James P. Carson, Thomas J. Mariani, M. Cecilia Ljungberg, Joshua Adkins, Gérémy Clair, Song Feng
article en
4 citations

Abstract

The lung is a vital organ that undergoes extensive morphological and functional changes during postnatal development. To disambiguate how different cell populations contribute to organ development, we performed proteomic and transcriptomic analyses of four sorted cell populations from the lung of human subjects 0-8 years of age with a focus on early life. The cell populations analyzed included epithelial, endothelial, mesenchymal, and immune cells. Our results revealed distinct molecular signatures for each of the sorted cell populations that enable the description of molecular shifts occurring in these populations during postnatal development. We confirmed that the proteome of the different cell populations was distinct regardless of age and identified functions specific to each population. We identified a series of cell population protein markers, including those located at the cell surface, that show differential expression and distribution on RNA <i>in situ</i> hybridization and immunofluorescence imaging. We validated the spatial distribution of alveolar type 1 and endothelial cell surface markers. Temporal analyses of the proteomes of the four populations revealed processes modulated during postnatal development and clarified the findings obtained from whole-tissue proteome studies. Finally, the proteome was compared with a transcriptomics survey performed on the same lung samples to evaluate processes under post-transcriptional control.

American Journal of Respiratory Cell and Molecular BiologyVol. 72(5)
Pacific Northwest National Laboratory (US), Baylor University (US), Oregon Health & Science University (US), Baylor College of Medicine (US), University of Washington (US), University of Rochester Medical Center (US), EarthTech International (United States) (US), Neurological Research Institute (US), Texas Advanced Computing Center, University of Rochester (US), The University of Texas at Austin (US)
U.S. Department of Energy, U.S. Department of Health and Human Services, Battelle, Pacific Northwest National Laboratory
Openalex Percentile: Top 21%
Cancer Genomics and Diagnostics
1.14
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