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RNA Selectively Modulates Activity of Virulent Amyloid PSMα3 and Host Defense LL-37 via Phase Separation and Aggregation Dynamics

Rayan, B.; Barnea, E.; Indig, R.; Pantoja, C. F.; Gayk, J.; Lupu-Haber, Y.; Upcher, A.; Argoetti, A.; Aunstrup Larsen, J.; Buell, A. K.; Zweckstetter, M.; Landau, M.

2025-06-18 biophysics
10.1101/2025.06.17.660072 bioRxiv
Show abstract

Amyloids, classically associated with neurodegenerative disease, also play important roles in infection and immunity. Phenol-soluble modulins (PSMs) from Staphylococcus aureus are amyloid-forming virulence peptides that contribute to cytotoxicity, immune modulation, and biofilm stability. PSM3 forms cross- amyloid fibrils and shares sequence and -helical self-assembly features with LL-37, a human host-defence peptide that forms non-amyloid -helical assemblies. Here, we identify RNA as a context-dependent regulator of their assembly pathways and biological activity. RNA consistently reduces LL-37 cytotoxicity toward human cells without compromising its antibacterial function, suggesting a host-protective effect. In contrast, RNA preserves PSM3 cytotoxic and antimicrobial activity over time by reshaping its assembly landscape, promoting liquid-liquid phase separation at low concentrations and stabilizing dynamic -helical intermediates. At higher RNA concentrations, both peptides transition into distinct aggregated states, amorphous for LL-37 and fibrillar for PSM3, correlating with divergent functional outcomes. The amyloid inhibitor EGCG abolishes the bioactivity of both peptides by redirecting assembly into non-functional aggregates, highlighting that activity depends on supramolecular architecture and reversibility rather than aggregation per se. Together, these findings establish RNA as an environmental regulator of -helical peptide assemblies and reveal phase transitions as tuneable determinants of peptide function, with implications for microbial virulence, innate immunity, and therapeutic intervention in infectious and protein-aggregation-associated diseases.

Published in eLife (predicted rank #9) · training set

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