ArticleAmerican journal of respiratory cell and molecular biology2021
Flow-Cytometric Analysis and Purification of Airway Epithelial-Cell Subsets.
Article in American journal of respiratory cell and molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
What it found
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The trial behind it
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
50 citing papers in PubMed, 63 citations in OpenAlex.
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- Separation of Human P63Analytical chemistry · 2026Article
- Elevated lactate production exacerbates PM2.5-induced pulmonary fibrosis by stabilizing TGF-β1.Journal of advanced research · 2026Article
- Dual roles for influenza A protein PA-X: limiting inflammatory response and disrupting MHC I antigen presentation in human respiratory epithelium.bioRxiv : the preprint server for biology · 2026Article
- Development, propagation and characterization of human somatic cell-derived bronchial organoids as model system for airway diseases - A practical guide.Frontiers in allergy · 2026Article
- Extracellular vesicle-based delivery to airway basal cells for durable gene therapy in cystic fibrosis.Frontiers in bioengineering and biotechnology · 2026Review
- Article
- Cystic fibrosis airway epithelial cells have an exaggerated response to hypoxia that is partially reversible through transmembrane receptor modulation.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2025Article
- Ciliated epithelial cell differentiation at air-liquid interface and respiratory syncytial virus infection using animal-free media and substrates.ERJ open research · 2025Article
- Limited response of primary nasal epithelial cells toMicrobiology spectrum · 2025Article
- The impaired response of nasal epithelial cells to microplastic stimulation in asthma and COPD.Scientific reports · 2025Article
- The different response of PMRespiratory research · 2025Article
- Bronchoscopic biopsies - a novel source for primary airway epithelial cells in respiratory research.Respiratory research · 2024Article
- A novelThe European respiratory journal · 2024Article
- MHC class II proteins mediate sialic acid independent entry of human and avian H2N2 influenza A viruses.Nature microbiology · 2024Article
- Magnetoactive,Cellular and molecular bioengineering · 2024Article
- IL-13 induces loss of CFTR in ionocytes and reduces airway epithelial fluid absorption.The Journal of clinical investigation · 2024Article
- Tropism for ciliated cells is the dominant driver of influenza viral burst size in the human airway.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
Abstract
The human airway epithelium is essential in homeostasis, and epithelial dysfunction contributes to chronic airway disease. Development of flow-cytometric methods to characterize subsets of airway epithelial cells will enable further dissection of airway epithelial biology. Leveraging single-cell RNA-sequencing data in combination with known cell type-specific markers, we developed panels of antibodies to characterize and isolate the major airway epithelial subsets (basal, ciliated, and secretory cells) from human bronchial epithelial-cell cultures. We also identified molecularly distinct subpopulations of secretory cells and demonstrated cell subset-specific expression of low-abundance transcripts and microRNAs that are challenging to analyze with current single-cell RNA-sequencing methods. These new tools will be valuable for analyzing and separating airway epithelial subsets and interrogating airway epithelial biology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.