Beta-amyloid oligomerisation monitored by intrinsic tyrosine fluorescence

Literature Information

Publication Date 2011-03-04
DOI 10.1039/C0CP02652B
Impact Factor 3.676
Authors

Mariana Amaro, David J. S. Birch, Olaf J. Rolinski


View Original

Abstract

Aggregation of the peptide beta-amyloid is known to be associated with Alzheimer’s disease. According to recent findings the most neurotoxic aggregates are the oligomers formed in the initial stages of the aggregation process. Here we use beta-amyloid’s (Aβ’s) intrinsic fluorophore tyrosine to probe the earliest peptide-to-peptide stages of aggregation, a region often merely labelled as a time lag, because negligible changes are observed by the commonly used probe ThT. Using spectrally resolved fluorescence decay time techniques and analysis we demonstrate how the distribution of 3 rotamer conformations of the single tyrosine in Aβ tracks the aggregation across the time lag and beyond according to the initial peptide concentration. At low Aβ concentrations (≤5 μM), negligible aggregation is observed and this is mirrored by little change in the fluorescence decay parameters, providing a useful baseline for comparison. At higher concentrations (≈50 μM), and contrary to what is generally accepted from ThT studies the rate of aggregation can be described by an exponential growth to a plateau in terms of the relative contributions of two of the three rotamers, with a characteristic aggregation time of ≈33 h.

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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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