ArticleAmerican journal of respiratory cell and molecular biology2025
Cell Population-resolved Multiomics Atlas of the Developing Lung.
Article in American journal of respiratory cell and molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Sexually distinct multi-omic responses to progressive endurance exercise training in the rat lung.American journal of respiratory cell and molecular biology · 2026Article
- Rediscovering Lung Lipofibroblast: A Lipid Wizard on the Alveolar Fibroblast Spectrum.American journal of respiratory cell and molecular biology · 2026Article
- SCSEQ: A web tool for analyzing single-cell RNA-seq data.GigaScience · 2026Article
- A Developmental Step Along the 'Omics Journey.American journal of respiratory cell and molecular biology · 2025Article
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17 authors.
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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
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