Optimization of a micro-scale air–liquid-interface model of human proximal airway epithelium for moderate throughput drug screening for SARS-CoV-2

Optimization of a micro-scale air–liquid-interface model of human proximal airway epithelium for moderate throughput drug screening for SARS-CoV-2

Abstract Background Many respiratory viruses attack the airway epithelium and cause a wide spectrum of diseases for which we have limited therapies. To date, a few primary human stem cell-based models of the proximal airway have been reported for drug discovery but scaling them up to a higher throug...

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Main Authors: Chandani Sen, Tammy M. Rickabaugh, Arjit Vijey Jeyachandran, Constance Yuen, Maisam Ghannam, Abdo Durra, Adam Aziz, Kristen Castillo, Gustavo Garcia, Arunima Purkayastha, Brandon Han, Felix W. Boulton, Eugene Chekler, Robert Garces, Karen C. Wolff, Laura Riva, Melanie G. Kirkpatrick, Amal Gebara-Lamb, Case W. McNamara, Ulrich A. K. Betz, Vaithilingaraja Arumugaswami, Robert Damoiseaux, Brigitte N. Gomperts
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Respiratory Research
Subjects:
Human mucociliary epithelium
SARS-CoV-2
Respiratory viral infections
High throughput drug screening
Anti-viral screening
Small-molecules
Online Access:https://doi.org/10.1186/s12931-025-03095-y
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https://doi.org/10.1186/s12931-025-03095-y

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