Adaptation of the protein misfolding cyclic amplification (PMCA) technique for the screening of anti-prion compounds.
Katherine DoRebeca BenaventeCelso S G CatumbelaUffaf KhanCarlos KrammClaudio SotoRodrigo MoralesPublished in: FASEB journal : official publication of the Federation of American Societies for Experimental Biology (2024)
Prion diseases result from the misfolding of the physiological prion protein (PrP C ) to a pathogenic conformation (PrP Sc ). Compelling evidence indicates that prevention and/or reduction of PrP Sc replication are promising therapeutic strategies against prion diseases. However, the existence of different PrP Sc conformations (or strains) associated with disease represents a major problem when identifying anti-prion compounds. Efforts to identify strain-specific anti-prion molecules are limited by the lack of biologically relevant high-throughput screening platforms to interrogate compound libraries. Here, we describe adaptations to the protein misfolding cyclic amplification (PMCA) technology (able to faithfully replicate PrP Sc strains) that increase its throughput to facilitate the screening of anti-prion molecules. The optimized PMCA platform includes a reduction in sample and reagents, as well as incubation/sonication cycles required to efficiently replicate and detect rodent-adapted and cervid PrP Sc strains. The visualization of PMCA products was performed via dot blots, a method that contributed to reduced processing times. These technical changes allowed us to evaluate small molecules with previously reported anti-prion activity. This proof-of-principle screening was evaluated for six rodent-adapted prion strains. Our data show that these compounds targeted either none, all or some PrP Sc strains at variable concentrations, demonstrating that this PMCA system is suitable to test compound libraries for putative anti-prion molecules targeting specific PrP Sc strains. Further analyses of a small compound library against deer prions demonstrate the potential of this new PMCA format to identify strain-specific anti-prion molecules. The data presented here demonstrate the use of the PMCA technique in the selection of prion strain-specific anti-prion compounds.