4.7 Article

Quantitative thermophoretic study of disease-related protein aggregates

Journal

SCIENTIFIC REPORTS
Volume 6, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/srep22829

Keywords

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Funding

  1. Nanosystems Initiative, Munich
  2. Deutsche Forschungsgemeinschaft [SFB 1032]
  3. European Research Council
  4. Simons Foundation [SCOL 327125]
  5. UK BBSRC
  6. Wellcome Trust
  7. Frances and Augustus Newman Foundation
  8. Magdalene College, Cambridge
  9. Federation of European Biochemical Societies
  10. Leverhulme Trust
  11. Biotechnology and Biological Sciences Research Council [1127850] Funding Source: researchfish

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Amyloid fibrils are a hallmark of a range of neurodegenerative disorders, including Alzheimer's and Parkinson's diseases. A detailed understanding of the physico-chemical properties of the different aggregated forms of proteins, and of their interactions with other compounds of diagnostic or therapeutic interest, is crucial for devising effective strategies against such diseases. Protein aggregates are situated at the boundary between soluble and insoluble structures, and are challenging to study because classical biophysical techniques, such as scattering, spectroscopic and calorimetric methods, are not well adapted for their study. Here we present a detailed characterization of the thermophoretic behavior of different forms of the protein a-synuclein, whose aggregation is associated with Parkinson's disease. Thermophoresis is the directed net diffusional flux of molecules and colloidal particles in a temperature gradient. Because of their low volume requirements and rapidity, analytical methods based on this effect have considerable potential for high throughput screening for drug discovery. In this paper we rationalize and describe in quantitative terms the thermophoretic behavior of monomeric, oligomeric and fibrillar forms of a-synuclein. Furthermore, we demonstrate that microscale thermophoresis (MST) is a valuable method for screening for ligands and binding partners of even such highly challenging samples as supramolecular protein aggregates.

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