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. 2014 Nov 25;53(46):7170-83.
doi: 10.1021/bi5009326. Epub 2014 Nov 12.

A relationship between the transient structure in the monomeric state and the aggregation propensities of α-synuclein and β-synuclein

Affiliations

A relationship between the transient structure in the monomeric state and the aggregation propensities of α-synuclein and β-synuclein

Jane R Allison et al. Biochemistry. .

Abstract

α-Synuclein is an intrinsically disordered protein whose aggregation is implicated in Parkinson's disease. A second member of the synuclein family, β-synuclein, shares significant sequence similarity with α-synuclein but is much more resistant to aggregation. β-Synuclein is missing an 11-residue stretch in the central non-β-amyloid component region that forms the core of α-synuclein amyloid fibrils, yet insertion of these residues into β-synuclein to produce the βSHC construct does not markedly increase the aggregation propensity. To investigate the structural basis of these different behaviors, quantitative nuclear magnetic resonance data, in the form of paramagnetic relaxation enhancement-derived interatomic distances, are combined with molecular dynamics simulations to generate ensembles of structures representative of the solution states of α-synuclein, β-synuclein, and βSHC. Comparison of these ensembles reveals that the differing aggregation propensities of α-synuclein and β-synuclein are associated with differences in the degree of residual structure in the C-terminus coupled to the shorter separation between the N- and C-termini in β-synuclein and βSHC, making protective intramolecular contacts more likely.

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Figures

Figure 1
Figure 1
Alignment of the amino acid sequences of αS, βS, and βSHC. Amino acids are colored according to the chemical nature of their side chains. The region shaded in Cambridge blue indicates the 11 residues from αS that were inserted into βS to form βSHC.
Figure 2
Figure 2
Intensity ratios Iox/Ired for each spin-label position for (A) αS,, (B) βS, and (C) βSHC. The experimental data are shown as black bars, and the Iox/Ired values calculated from the random coil ensemble are plotted as thick red lines. PRE–NMR experiments were conducted on 100 μM uniformly 15N-labeled protein with MTSL attached in 10 mM sodium phosphate (pH 7.4), 100 mM NaCl, and 10% D2O at 10 °C. The experimental Iox/Ired values are those processed for use in the simulations (see Methods); thus, any Iox/Ired of <0.15 or >0.85 has been set to 0.15 or 0.85, respectively. If no bar is present, then either Iox/Ired was not measured for this residue or it was discarded because of an uncertainty of >10%.
Figure 3
Figure 3
Rg probability distributions for (A) αS, (B) βS, and (C) βSHC. The random coil ensembles (see the text for a definition) are colored black, and the ensembles calculated using PRE-RMD are colored red. Representative structures are shown for various values of Rg. The Rg distributions are shown rather than the Rh distributions because the former are faster to calculate, but the Rh distributions are similar. (D) Distributions of the difference between the random coil and PRE-RMD ensemble Rg probabilities [Δp(Rg) = p(Rgrandom coil) – p(RgPRE-RMD)].
Figure 4
Figure 4
Comparison of experimentally measured, and calculated NMR observables for (A and D) αS, (B and E) βS, and (C and F) βSHC. (A–C) 3JHNHa couplings (black) measured experimentally, (red) calculated from the PRE-RMD ensembles, and (green) calculated from random coil ensembles. (D–F) Amide N–H RDCs measured experimentally in (black) C8E5/octanol or (blue) Pf1 bacteriophage, (red) calculated from the PRE-RMD ensembles, and (green) calculated from random coil ensembles.
Figure 5
Figure 5
Distance comparison (DC) maps for the (A) αS, (B) βS, and (C) βSHC ensembles determined by PRE-RMD. The top half shows the full DC map, whereas the bottom half shows only the scaled distances that are less than 75% of that expected for a random coil polymer and occur between pairs of oppositely charged residues. The same color scale is used for all the DC maps to aid comparisons.
Figure 6
Figure 6
Free energy landscapes of structural ensembles determined for (A) αS, (B) βS, and (C) βSHC ensembles. The free energy is defined as F(Rg,SASA) = −ln p(Rg,SASA). Examples of structures found at various points on each landscape are given, and the position of the experimental micelle-bound structure of αS and a homology model of βS based on the αS structure are indicated by filled cyan circles.
Figure 7
Figure 7
Aggregation propensity, Zaggprof, predicted using the Zyggregator algorithm for (black, solid) αS, (red, solid) βS, and (green, dashed) βSHC. The residue numbers and gaps correspond to the sequence alignment shown in Figure 1. The gray line at Zaggprof = 1 indicates the threshold for classifying a sequence as being aggregation prone; regions exhibiting Zaggprof values greater than this are considered to be aggregation prone.

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