Generation of a healthy heavy smoker patient-derived induced pluripotent stem cell line UHOMi007-A from peripheral blood mononuclear cells.

Human pluripotent stem cells (hiPSC) represent a unique opportunity to model lung development and chronic bronchial diseases. We generated a hiPSC line from a highly characterized healthy heavy smoker male donor free from emphysema or tobacco related disease. Peripheral blood mononuclear cells (PBMCs) were reprogrammed using integration-free Sendai virus. The cell line had normal karyotype, expressed pluripotency hallmarks, and differentiated into the three primary germ layers. The reported UHOMi007-A iPSC line may be used as a control to model lung development, study human chronic bronchial diseases and drug testing.

The Transcriptome Landscape of the In Vitro Human Airway Epithelium Response to SARS-CoV-2.

Airway-liquid interface cultures of primary epithelial cells and of induced pluripotent stem-cell-derived airway epithelial cells (ALI and iALI, respectively) are physiologically relevant models for respiratory virus infection studies because they can mimic the in vivo human bronchial epithelium. Here, we investigated gene expression profiles in human airway cultures (ALI and iALI models), infected or not with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), using our own and publicly available bulk and single-cell transcriptome datasets. SARS-CoV-2 infection significantly increased the expression of interferon-stimulated genes (IFI44, IFIT1, IFIT3, IFI35, IRF9, MX1, OAS1, OAS3 and ISG15) and inflammatory genes (NFKBIA, CSF1, FOSL1, IL32 and CXCL10) by day 4 post-infection, indicating activation of the interferon and immune responses to the virus. Extracellular matrix genes (ITGB6, ITGB1 and GJA1) were also altered in infected cells. Single-cell RNA sequencing data revealed that SARS-CoV-2 infection damaged the respiratory epithelium, particularly mature ciliated cells. The expression of genes encoding intercellular communication and adhesion proteins was also deregulated, suggesting a mechanism to promote shedding of infected epithelial cells. These data demonstrate that ALI/iALI models help to explain the airway epithelium response to SARS-CoV-2 infection and are a key tool for developing COVID-19 treatments.