Optimization of a High-Throughput Screen for Monitoring Disease-Associated Protein Misfolding and Aggregation in Bacteria.

Protein misfolding and aggregation are central features of a wide range of diseases, including neurodegenerative disorders, systemic amyloidoses, and cancer. The identification of compounds that can modulate protein folding and aggregation is a key step toward developing effective therapies. High-throughput screening methods are essential for efficiently identifying such compounds. In this study, we optimized a previously developed high-throughput genetic screen for monitoring protein misfolding and aggregation in bacteria. This system is based on monitoring the fluorescence of cells expressing fusions of human misfolding-prone and disease-related proteins (MisPs) with the green fluorescent protein. We systematically tested a variety of experimental conditions, such as overexpression conditions and MisP-GFP fusion formats, to identify key parameters that affect the sensitivity and dynamic range of the assay. Using misfolding-prone, cancer-associated variants of human p53 as a model system, we found that strong overexpression conditions, such as high copy number vectors, strong promoters, high inducer concentrations, and high overexpression temperatures, can yield optimal assay performance. These optimized assay conditions were also validated with additional MisPs, such as the Alzheimer's disease-associated amyloid-β peptide and variants of superoxide dismutase 1 associated with amyotrophic lateral sclerosis. At the same time, we observed that certain conditions, such as inducer concentrations and overexpression temperature, may need to be precisely fine-tuned for each new MisP target to yield optimal assay performance. Our findings provide a framework for standardizing MisP-GFP screening assays, facilitating their broad application in the discovery of therapeutic agents targeting protein misfolding and aggregation.