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An integrated bacterial system for the discovery of chemical rescuers of disease-associated protein misfolding

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Protein misfolding and aggregation are common pathological features of several human diseases, including Alzheimer’s disease and type 2 diabetes. Here, we report an integrated and generalizable bacterial system for the… Click to show full abstract

Protein misfolding and aggregation are common pathological features of several human diseases, including Alzheimer’s disease and type 2 diabetes. Here, we report an integrated and generalizable bacterial system for the facile discovery of chemical rescuers of disease-associated protein misfolding. In this system, large combinatorial libraries of macrocyclic molecules are biosynthesized in Escherichia coli cells and simultaneously screened for their ability to rescue pathogenic protein misfolding and aggregation using a flow cytometric assay. We demonstrate the effectiveness of this approach by identifying drug-like, head-to-tail cyclic peptides that modulate the aggregation of the Alzheimer’s disease-associated amyloid β peptide. Biochemical, biophysical and biological assays using isolated amyloid β peptide, primary neurons and various established Alzheimer’s disease nematode models showed that the selected macrocycles potently inhibit the formation of neurotoxic amyloid β peptide aggregates. We also applied the system to the identification of misfolding rescuers of mutant Cu/Zn superoxide dismutase—an enzyme linked with inherited forms of amyotrophic lateral sclerosis. Overall, the system enables the identification of molecules with therapeutic potential for rescuing the misfolding of disease-associated polypeptides.A fluorescence-based assay is used to screen cyclic peptides for their activity in preventing protein misfolding, an event that can generate pathogenic aggregates that lead to diseases such as Alzheimer’s disease or amyotrophic lateral sclerosis..

Keywords: protein misfolding; protein; system; alzheimer disease; disease associated

Journal Title: Nature Biomedical Engineering
Year Published: 2017

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