Distinct microscopic mechanisms for the accelerated aggregation of pathogenic Tau mutants revealed by kinetic analysis

Literature Information

Publication Date 2020-03-17
DOI 10.1039/C9CP06083A
Impact Factor 3.676
Authors

Liu Hong


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Abstract

The self-assembly of Tau protein into amyloid structures is associated with Alzheimer's disease and other tauopathies. Dominant familial mutations in the Tau gene, such as P301L and P301S, increase the propensity of the Tau protein to aggregate abnormally into filaments. A quantitative description of the fibrillization process of Tau will facilitate the understanding of the cytotoxicity of Tau aggregates and their intercellular spreading. Here, we investigated the aggregation kinetics of Tau and disease-associated P301L and P301S mutants by combined thioflavin T assay and kinetic modeling, which revealed the rate constants of individual microscopic steps in the process of amyloid formation. Compared to WT Tau, P301L shows a larger primary nucleation rate while P301S has higher elongation and fragmentation rates and a more apparent fibril annealing process. Cross-seeding assays and FRET experiments indicate that the structures of the fibrillar nuclei of the three variants are distinct. These results provide detailed insights into how the amyloid aggregation mechanism of Tau protein is affected by the familial mutations P301L and P301S, and relates the physical properties of Tau mutants to their pathogenic mechanism.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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