Automated Quantitative Analysis of Airway Epithelial Cell Detachment Upon Fungal Challenge

Abstract

Host-pathogen interactions involve a complex interplay between host and pathogen factors, resulting in either host protective immunity or establishment of disease. One of the hallmarks for disease progression is host tissue destruction. The first host surface to interact with the opportunistic respiratory fungal pathogen, Aspergillus fumigatus, is the airway epithelium. Unravelling the mechanisms involved in airway epithelial cell damage by A. fumigatus is essential to understanding the establishment and progression of infection in the host. Although host cell damage can be measured in vitro by indirect cell lysis assays, here, we describe an automated, simple, and low-cost assay to directly visualize and quantify epithelial cell line damage after challenge with A. fumigatus. We employ the previously characterized tissue noninvasive A. fumigatus ΔpacC mutant to demonstrate the quantitative difference in cell damage relative to its parental tissue invasive strain. This assay is easily scaled up for high-throughput screening of multiple Aspergillus mutants and can be adapted to suit diverse host cell lines, different time points of infection, challenge with other microbes, and drugs or novel compounds.

Keywords: Aspergillus fumigatus; Automated image analysis; Cell damage; Cell detachment; DAPI staining; Epithelial cells; High-throughput screening; Host–pathogen interaction; Monolayer; Pathogenicity; Phenotyping.