bioRxiv (Cold Spring Harbor Laboratory) · 2022 · 12 citations · 75 references
Life SciencesMolecular BiologyNeuroscienceNanobiotechnologyNanomaterialsNanotechnologyNanomaterial CharacterizationNanomedicineNanoparticle CharacterizationParkinson DiseasePhase SeparationProtein SeparationAlpha-synuclein AggregationAlpha-synuclein BiomarkersAlpha-synuclein MisfoldingProtein Phase Separation
Abstract α-Synuclein (α-Syn) liquid-liquid phase separation (LLPS) leads to irreversible amyloid fibril formation associated with Parkinson’s disease pathogenesis. Critical concentrations of α-Syn LLPS are relatively high under physiological solution conditions. Moreover, α-Syn exhibits delayed LLPS kinetics under certain conditions which deviates from the behaviour predicted by classical homogeneous nucleation theory. In the current body of work, using interferometric light scattering (iSCAT), also known as mass photometry, we experimentally probe that α-Syn can form nanoscale phase separated assemblies/clusters, containing tens to hundreds of molecules— both above and below the critical LLPS concentration down to physiologically relevant scales. The formation of these clusters is instantaneous, even under conditions where the formation of microscopically visible droplets takes several days. However, they account for a very small volume fraction below saturation concentration. The slow growth of the nanoclusters can be attributed to a kinetic barrier which can be overcome by increasing the solution temperature to just below the droplet melting point. We provide reasons for caution in quantifying dilute phase concentrations for α-Syn LLPS samples containing nanoscale droplets—which can only be separated using ultracentrifugation. In addition, we also delineate that the presence of certain surfaces facilitates α-Syn droplet nucleation under conditions of delayed kinetics but is not a mandatory prerequisite for nanocluster formation. Taken together, our findings reveal that phase separation of α-Syn occurs at a wider range of solution conditions than predicted so far and provides an important step towards understanding α-Syn LLPS within physiological scales. Abstract Figure
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Pilong Li, Sudeep Banjade, Hui-Chun Cheng et al. · Nature · 2012 · 2.7K citations