Flow-Cytometric Analysis and Purification of Airway Epithelial-Cell Subsets
| Autor: | Bonser, Luke R, Koh, Kyung Duk, Johansson, Kristina, Choksi, Semil P, Cheng, Dan, Liu, Leqian, Sun, Dingyuan I, Zlock, Lorna T, Eckalbar, Walter L, Finkbeiner, Walter E, Erle, David J |
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| Rok vydání: | 2021 |
| Předmět: |
flow cytometry
Respiratory System Epithelial Cells airway epithelium Cell Separation Cardiorespiratory Medicine and Haematology Flow Cytometry Stem Cell Research Antibodies single-cell RNA sequencing Stem Cell Research - Nonembryonic - Human Genetics Humans 2.1 Biological and endogenous factors Aetiology Biomarkers Biotechnology |
| Zdroj: | American journal of respiratory cell and molecular biology, vol 64, iss 3 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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