Direct observation of heterogeneous formation of amyloid spherulites in real-time by super-resolution microscopy
| Autor: | Min Zhang, Soeren S-R Bohr, Henrik Dahl Pinholt, Vito Foderà, Xin Zhou, Alessio Zaccone, Nikos S. Hatzakis, Luca Banneta |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Amyloid
Kinetics Medicine (miscellaneous) Amyloidogenic Proteins Protein aggregation BLENDS General Biochemistry Genetics and Molecular Biology Settore FIS/03 - Fisica della Materia FIBRILS DEPENDENCE Microscopy Insulin Humans GROWTH-KINETICS Super-resolution microscopy Chemistry Amyloidosis Energy landscape IN-VITRO Spherulite (polymer physics) Photobleaching BETA-LACTOGLOBULIN Settore FIS/02 - Fisica Teorica Modelli e Metodi Matematici Biophysics General Agricultural and Biological Sciences |
| Zdroj: | Zhang, M, Pinholt, H, Zhou, X, Bohr, S, Banetta, L, Zaccone, A, Fodera, V & Hatzakis, N 2022, ' Direct observation of heterogeneous formation of amyloid spherulites in real-time by super-resolution microscopy ', Communications Biology, vol. 5, no. 1, 850 . https://doi.org/10.1038/s42003-022-03810-1 |
| Popis: | Real-time super-resolution microscopy analysis reveals the growth kinetics, morphology, and abundance of human insulin amyloid spherulites with different growth pathways.Protein misfolding in the form of fibrils or spherulites is involved in a spectrum of pathological abnormalities. Our current understanding of protein aggregation mechanisms has primarily relied on the use of spectrometric methods to determine the average growth rates and diffraction-limited microscopes with low temporal resolution to observe the large-scale morphologies of intermediates. We developed a REal-time kinetics via binding and Photobleaching LOcalization Microscopy (REPLOM) super-resolution method to directly observe and quantify the existence and abundance of diverse aggregate morphologies of human insulin, below the diffraction limit and extract their heterogeneous growth kinetics. Our results revealed that even the growth of microscopically identical aggregates, e.g., amyloid spherulites, may follow distinct pathways. Specifically, spherulites do not exclusively grow isotropically but, surprisingly, may also grow anisotropically, following similar pathways as reported for minerals and polymers. Combining our technique with machine learning approaches, we associated growth rates to specific morphological transitions and provided energy barriers and the energy landscape at the level of single aggregate morphology. Our unifying framework for the detection and analysis of spherulite growth can be extended to other self-assembled systems characterized by a high degree of heterogeneity, disentangling the broad spectrum of diverse morphologies at the single-molecule level. |
| Databáze: | OpenAIRE |
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