20 research outputs found
Effects of Two Semirigid Prophylactic Ankle Stabilizers on Speed, Agility, and Vertical Jump
Influence of Abiotic and Trophic Factors on the Daily Horizontal Migration of Zooplankton in the Littoral Zone of the Novosibirsk Reservoir
The fission yeast ortholog of eIF3a subunit is not functional inSaccharomyces cerevisiae
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Actionable Cytopathogenic Host Responses of Human Alveolar Type 2 Cells to SARS-CoV-2
Human transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causative pathogen of the COVID-19 pandemic, exerts a massive health and socioeconomic crisis. The virus infects alveolar epithelial type 2 cells (AT2s), leading to lung injury and impaired gas exchange, but the mechanisms driving infection and pathology are unclear. We performed a quantitative phosphoproteomic survey of induced pluripotent stem cell-derived AT2s (iAT2s) infected with SARS-CoV-2 at air-liquid interface (ALI). Time course analysis revealed rapid remodeling of diverse host systems, including signaling, RNA processing, translation, metabolism, nuclear integrity, protein trafficking, and cytoskeletal-microtubule organization, leading to cell cycle arrest, genotoxic stress, and innate immunity. Comparison to analogous data from transformed cell lines revealed respiratory-specific processes hijacked by SARS-CoV-2, highlighting potential novel therapeutic avenues that were validated by a high hit rate in a targeted small molecule screen in our iAT2 ALI system.
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•SARS-CoV-2 infection in induced lung cells is characterized by phosphoproteomics•Analysis of response reveals host cell signaling and protein expression profile•Comparison to studies in undifferentiated cell lines shows unique pathology in iAT2s•Systems-level predictions find druggable pathways that can impede viral life cycle
Hekman et al. describe how a layer of primary stem cells (iAT2s) recapitulating lung biology responds to infection with SARS-CoV-2. They compare their work to previous studies with immortalized cell lines. Their data predict what effect the virus has on a lung cell and which drugs may slow infection