Leveraging 3D Model Systems to Understand Viral Interactions with the Respiratory Mucosa

Autor: Ethan Iverson, Logan Kaler, Eva L. Agostino, Daniel Song, Gregg A. Duncan, Margaret A. Scull
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Viruses, Vol 12, Iss 12, p 1425 (2020)
Druh dokumentu: article
ISSN: 1999-4915
DOI: 10.3390/v12121425
Popis: Respiratory viruses remain a significant cause of morbidity and mortality in the human population, underscoring the importance of ongoing basic research into virus–host interactions. However, many critical aspects of infection are difficult, if not impossible, to probe using standard cell lines, 2D culture formats, or even animal models. In vitro systems such as airway epithelial cultures at air–liquid interface, organoids, or ‘on-chip’ technologies allow interrogation in human cells and recapitulate emergent properties of the airway epithelium—the primary target for respiratory virus infection. While some of these models have been used for over thirty years, ongoing advancements in both culture techniques and analytical tools continue to provide new opportunities to investigate airway epithelial biology and viral infection phenotypes in both normal and diseased host backgrounds. Here we review these models and their application to studying respiratory viruses. Furthermore, given the ability of these systems to recapitulate the extracellular microenvironment, we evaluate their potential to serve as a platform for studies specifically addressing viral interactions at the mucosal surface and detail techniques that can be employed to expand our understanding.
Databáze: Directory of Open Access Journals
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