1. Cigarette Smoke Condensate Exposure Changes RNA Content of Extracellular Vesicles Released from Small Airway Epithelial Cells.
- Author
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Corsello T, Kudlicki AS, Garofalo RP, and Casola A
- Subjects
- Airway Remodeling drug effects, Airway Remodeling genetics, Cell Communication genetics, Cell Communication physiology, Cigarette Smoking adverse effects, Cigarette Smoking genetics, Epithelial Cells, Extracellular Vesicles genetics, Humans, MicroRNAs drug effects, MicroRNAs genetics, Primary Cell Culture, RNA, Small Interfering drug effects, RNA, Small Interfering genetics, RNA, Transfer drug effects, RNA, Transfer genetics, Extracellular Vesicles drug effects, Tobacco Smoke Pollution adverse effects
- Abstract
Exposure to environmental tobacco smoke (ETS) is a known risk factor for the development of chronic lung diseases, cancer, and the exacerbation of viral infections. Extracellular vesicles (EVs) have been identified as novel mediators of cell-cell communication through the release of biological content. Few studies have investigated the composition/function of EVs derived from human airway epithelial cells (AECs) exposed to cigarette smoke condensate (CSC), as surrogates for ETS. Using novel high-throughput technologies, we identified a diverse range of small noncoding RNAs (sncRNAs), including microRNA (miRNAs), Piwi-interacting RNA (piRNAs), and transfer RNA (tRNAs) in EVs from control and CSC-treated SAE cells. CSC treatment resulted in significant changes in the EV content of miRNAs. A total of 289 miRNAs were identified, with five being significantly upregulated and three downregulated in CSC EVs. A total of 62 piRNAs were also detected in our EV preparations, with five significantly downregulated and two upregulated in CSC EVs. We used TargetScan and Gene Ontology (GO) analysis to predict the biological targets of hsa-miR-3913-5p, the most represented miRNA in CSC EVs. Understanding fingerprint molecules in EVs will increase our knowledge of the relationship between ETS exposure and lung disease, and might identify potential molecular targets for future treatments.
- Published
- 2019
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