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BiophysicsAdvanced Science
Peer-reviewed journal article

Probing the energy landscape of α-Synuclein amyloid fibril formation by systematic K-to-Q mutagenesis

Antonín KunkaiD, Azad FarzadfardiD, Jacob Aunstrup LarseniD, Rasmus K. NorrildiD, Federica SaracenoiD, Celia FrickeiD, Hossein Mohammad‐BeigiiD, Ahmed SadekiD, Jonas FolkeiD, Susana AznariD, Alexander Kai BuelliD

Abstract

The aggregation of natively disordered -Synuclein (Syn) into amyloid fibrils is a hallmark of Parkinsons and other neurodegenerative diseases. Understanding Syns pathological role remains a major challenge due to its complex, context-dependent energy landscape characterized by conformational plasticity and fibril polymorphism. Here, we present a systematic mutational analysis as a quantitative probe of the Syn energy landscape, focusing on electrostatic contributions to key aggregation pathways. We engineered Syn variants with one to eight lysine-to-glutamine substitutions and analyzed their aggregation under controlled conditions to delineate their effects on nucleation, elongation, seed amplification, fibril stability, and fibril polymorphism. We find that Syn aggregation from a homogenous solution can be modelled well using global properties, including protein concentration, charge, and ionic strength. Microscopic pathways and the resulting fibril polymorphs are instead modulated by sequence-specific effects. We identify mutations of residues found in fibril cores as perturbations that significantly modify the Syn free energy landscape, creating pathways and energy minima not accessible to the WT under the same experimental conditions. In contrast, mutations outside of the fibril core affect the magnitude of the relevant energy barriers whilst overall maintaining a WT-like free energy landscape. Our work outlines a scalable, quantitative framework that increases the informational output of the mutational studies of Syn using conventional assays. The approach can be extended by incorporating additional mutational and functional data to deepen our understanding of Syns energy landscape and its role in health and disease.

PDFDOI

02 /Specification & Classification

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