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Published in final edited form as: Angew Chem Int Ed Engl. 2014 Aug 11;53(39):10345–10349. doi: 10.1002/anie.201405180

Characterizing Methyl-Bearing Side Chain Contacts and Dynamics Mediating Amyloid β Protofibril Interactions Using 13Cmethyl-DEST and Lifetime Line Broadening**

Nicolas L Fawzi 1,, David S Libich 2, Jinfa Ying 3, Vitali Tugarinov 4, G Marius Clore 5,
PMCID: PMC4539159  NIHMSID: NIHMS714803  PMID: 25130489

Abstract

Many details pertaining to the formation and interactions of protein aggregates associated with neurodegenerative diseases are invisible to conventional biophysical techniques. We recently introduced 15N dark-state exchange saturation transfer (DEST) and 15N lifetime line-broadening to study solution backbone dynamics and position-specific binding probabilities for amyloid β (Aβ) monomers in exchange with large (2–80 MDa) protofibrillar Aβ aggregates. Here we use 13Cmethyl DEST and lifetime line-broadening to probe the interactions and dynamics of methyl-bearing side chains in the Aβ-protofibril-bound state. We show that all methyl groups of Aβ40 populate direct-contact bound states with a very fast effective transverse relaxation rate, indicative of side-chain-mediated direct binding to the protofibril surface. The data are consistent with position-specific enhancements of C13methyl-R2tethered values in tethered states, providing further insights into the structural ensemble of the protofibril-bound state.

Keywords: amyloid β, high-molecular-weight assemblies, NMR spectroscopy, protein–protein interactions


The formation of protein aggregates lies at the heart of numerous degenerative diseases, including Alzheimer’s disease in which the peptide amyloid β (Aβ) forms fibril plaques.[1] Because smaller aggregates of Aβ, including oligomers and protofibrils, have been implicated as the primary toxic species, they are critical targets for structural characterization.[2] Their large size, transient nature, and high level of structural disorder and heterogeneity, however, preclude characterization by standard structural techniques. Several new methods have been developed in an attempt to reveal structural details of these complexes.[3] We recently reported a new solution NMR technique, dark-state exchange saturation transfer at backbone nitrogen positions (15N-DEST), to probe, with residue-level resolution, dynamic information (15N-R2) and kinetic partitioning within the protofibril-bound state of Aβ.[4] 15N-DEST and 15N lifetime line-broadening exploit the binding/unbinding of monomeric Aβ peptides to/from large protofibrillar aggregates and the vastly different transverse relaxation rates (15N-R2) between monomers and protofibril-bound species to imprint atomic resolution information for the NMR-invisible (“dark”) protofibril-bound state onto the easily observed resonances of the free monomer. Unlike Aβ fibrils that are stabilized by β-sheets spanning ten residues in length in both the central and C-terminal hydrophobic regions,[5] transient contacts with Aβ protofibrils are concentrated only in stretches of four to five hydrophobic residues. Since 15N-DEST reports only on the backbone, 13C-based experiments are required to probe side-chain contacts within the protofibril-bound states and to ascertain whether the transient interactions on the surface of the protofibrils are directly mediated by side chains or involve edge-on β-sheet contacts with effectively disordered side chains. Here we use 13Cmethyl DEST and lifetime broadening to refine the atomic-level picture of the interactions between monomeric and protofibrillar Aβ40. We show that methyl groups in hydrophobic side chains directly mediate interactions on the protofibril surface and are sensitive reporters of dynamics in the bound-state ensemble.

U-[13C/15N]-labeled Aβ40 (rPeptide, Bogart, Georgia, USA) was prepared from NaOH treated stocks as described previously to remove preformed aggregates and seeds.[4,6] NMR samples of 50 and 240 μM U-[13C/15N] Aβ40 were prepared in 50 mM HEPES buffer, pH 6.8 in 90% H2O/10% D2O from solutions stirred and filtered with Chelex 100 (Sigma) to remove trace metals. Samples were kept at 4 to 10°C and all experiments were conducted at 10°C. Assignment of the resolved methyl groups of monomeric Aβ40 was achieved using standard 3D heteronuclear correlation experiments (see the Supporting Information (SI), Figure S1) to correlate 1H and 13C methyl resonances with the previously assigned backbone 1HN/15N and 1Hα/13Cα resonances.[4,7] Under these conditions, unstirred samples containing 240 μM Aβ40 spontaneously form large (2–80 MDa) polymorphic protofibrils, whereas dilute control (50 μM) samples remain >95% monomeric.[4] After one week equilibration of the unstirred 240 μM Aβ40 sample, approximately 100 μM Aβ40 remains monomeric, whereas the balance of the peptide is sequestered in the protofibrillar aggregates visible by transmission electron and atomic force microscopy, and observed by analytical ultracentrifugation and dynamic light scattering.[ 4] After the initial week-long period of protofibril assembly, the monomeric population remains in pseudo-equilibrium with the protofibril form for about one month, during which time the monomeric peptide reversibly binds to and unbinds from the protofibrils, resulting in near-zero net further assembly.[4]

The protofibril-bound species exchanging with the remaining monomeric pool is invisible to standard solution NMR methods, because it is sparsely populated (≈5% of the remaining monomer) and characterized by very rapid transverse relaxation rates (15N-R2 up to ca. 19000 s−1) due to its very large size.[4] Interactions, however, between monomeric and protofibrillar Aβ are evident by measuring backbone-lifetime-broadening effects (ΔR2), independent of field and nucleus, from the difference in 15N-R2 or 1HN-R2 values in the presence (high concentration) and absence (low-concentration control) of protofibrils.[6b] The apparent first-order association rate constant ( konapp for monomer-binding to the protofibril, given by the maximum value of 15N-ΔR2,[6b] is 2.5±0.3 s−1 for U-[13C/15N] Aβ40 at 240 μM (SI, Figure S2).

To compare the values measured at the backbone to those measured at the side-chain methyl positions, effective 13Cmethyl-R2 values were determined from 13C-R (1666 Hz spin-lock field-centered at 20.7 ppm) and 13C-R1 values using standard experiments and procedures (SI, Figures S3 and S4).[8, 9] 13Cmethyl lifetime line-broadening, (13CmethylR2), given by the difference in 13Cmethyl-R2 values between Aβ40 samples in the presence and absence of protofibril aggregates (Figure 1A), shows a position-specific pattern of interactions with the protofibrils. 13Cmethyl-DEST measurements confirm the residue-specific nature of the interactions (Figure 1B). Briefly, the 13Cmethyl-DEST pulse sequence (SI, Figure S5) resembles a 2D 1H-13C HSQC-based 13C-R1 experiment, in which 13Cz polarization is prepared; however, the variable delay used to measure R1 is replaced by a fixed 480 ms 13C saturation pulse (radiofrequency field strengths of 763 and 1523 Hz) applied at a series of offsets from the 13C carrier frequency at 19 ppm (−23.7, −20, −16, −10 −8, −6, −4, −2, 0, 2, 4, 6, 8, 10, 16, 20, 23.7 26 kHz). Whereas the 13Cmethyl-DEST pulse sequence is similar to the recently described 13Cmethyl-CEST experiment,[10] the DEST and CEST experiments are not the same and should not be confused with one another: CEST relies on differences in chemical shifts between slowly exchanging species with the same or approximately the same R2 rates, whereas DEST is entirely reliant on the exchange between species with very large differences in R2 rates and requires no differences in chemical shifts. Further, distinct chemical shifts for the minor species will not be observed in a CEST experiment when the R2 values for the minor species are very large. Thus, the experimental considerations for and quantitative analysis of the DEST and CEST experiments are quite different.

Figure 1.

Figure 1

13Cmethyl ΔR2 and DEST data for Aβ40. A) Observed 13CmethylR2 (blue circles), the difference in effective R2 of methyl group 13C spins in the presence (240 μM total Aβ) and absence (50 μM Aβ) of protofibrils, are well-matched by values calculated from best-fits to the equilibrium direct-contact/tethered state binding model (black diamonds; cf. Figure 2). Values for residues (Val and Leu) with two methyl groups are averaged. Error bars are 1 s.d. The amino acid sequence is displayed on top with hydrophobic residues colored in green. B) Examples of experimental (open circles) and best-fit (solid lines) 13Cmethyl-DEST profiles at two radiofrequency field strengths, 763 (orange) and 1523 (blue) Hz, for methyl groups of alanine (A2 and A21), leucine (L17 and L34), and valine (V18 and V40). The best-fits obtained by nonlinear minimization and numerical integration of the McConnell equations for the direct-contact/tethered state model[4] (cf. Figure 2) by optimization of a single global C13methyl-R2contact value and residue-specific C13methyl-R2tethered values and partition coefficients (K3) between direct-contact and tethered states, with the global pseudo-first order association rate constant konapp set to N15-ΔR2max (2.5 s−1; SI Figure S2), and the global dissociation rate constant koff (51 s−1) taken from Ref. [4]. The experimental data were recorded at a spectrometer 1H frequency of 600 MHz.

The data from 13Cmethyl ΔR2 and DEST experiments were fit simultaneously to the same kinetic model previously used for the corresponding 15N data[4] to provide atomic-resolution details on the role of methyl-side-chain interactions in protofibril-bound states. Our previous 15N data, which probed the backbone of Aβ, showed that the ensemble of binding modes in the protofibril-bound state could not be described by a simple global two-state exchange model.[4] The same is true for the current 13Cmethyl data, for which the simple two-state exchange model predicts 13Cmethyl ΔR2 values and DEST profiles that are larger and narrower, respectively, than measured. However, a simple extension, incorporating slowly interconverting exchange between distinct bound states for each residue, described by a residue-specific partition coefficient K3 for the population ratio of direct-contact to tethered states (Figure 2), is sufficient to reproduce the 15N-DEST and 15N-ΔR2 data.[4] This phenomenological extension of a two-state exchange model concisely captures the average behavior of the potentially very large ensemble of bound conformations using only two distinct residue-specific parameters, the partition coefficients K3 and the R2tethered values for the tethered states. Here, we show that without expanding the model, we capture the 13Cmethyl experimental data by constraining the global values of konapp to the value of N15-ΔR2max measured on the 240 μM 13C/15N-labeled Aβ40 sample (SI, Figure S2), and koff to that determined previously,[4] and varying the residue-specific C13methyl-R2tethered relaxation rates and partition coefficients K3, as well as a single global value of the transverse relaxation rate ( C13methyl-R2contact) when a methyl group is in direct contact with the protofibril surface. (Note that koff is consistent with a range of values from about 20 to 200 s−1 with statistically equivalent fits vis-à-vis residuals; hence we chose to fix koff to the same value as determined previously,[4] which should be independent of the Aβ40 concentration and facilitate the comparison between the current results and our previous work.)

Figure 2.

Figure 2

Interaction of monomeric Aβ on the surface of Aβ protofibrils. A) Schematic of overall exchange process. B) The direct-contact/tethered bound-state model, which incorporates tethered and direct-contact states for each residue when bound to the protofibril surface, superimposed on a global two-state exchange model.

A comparison of the experimental and computed 13C-methyl ΔR2 (Figure 1A) and 13Cmethyl-DEST profiles (Figure 1B) for the best-fit solution demonstrates that the model in Figure 2B describes the ensemble of interactions well. The ability to quantitatively match the observed 13Cmethyl-DEST profiles and 13CmethylR2 values (Figure 1) with K3 partition coefficients similar to those determined for the backbone (Figure 3A) demonstrates the ability of the model to capture the essential interactions present in transient monomer–protofibril binding. The high correlation between the population of direct contact states (i.e. K3) obtained from the 13Cmethyl and 15N data for all residues (Figure 4B), including the long, highly flexible methionine side chain, indicates that the entire side chain plays a role in mediating direct contacts with the protofibrils. The values of K3 determined from the 13Cmethyl data are systematically larger than those from the 15N data. Whether this truly reflects a different partitioning of bound and tethered states as viewed by the methyl groups, or whether these differences, which are less than a factor of 2 in an equilibrium constant, simply reflect sample variation, cannot be ascertained, because almost equally good fits to the data can be obtained using the K3 values determined previously from the 15N data[4] (SI, Figure S6), further emphasizing the role of the side chains in mediating direct contacts at the protofibril surface.

Figure 3.

Figure 3

Best-fit values of A) the partition coefficients K3 (blue) and B) C13methyl-R2tethered (blue). Values for the corresponding K3 values obtained previously from 15N data[4] (black) and experimental values of C13methyl-R2monomer for the monomeric state (black) are also shown in panels (A) and (B), respectively. Values for residues (Val and Leu) with two methyl groups are averaged. For reference, C13methyl-R2contact, the best-fit value of the transverse relaxation rate, common to all methyl groups when in direct contact with the protofibril surface, is 1330±80 s−1. Error bars are 1 s.d. The amino acid sequence is displayed on top with hydrophobic residues colored in green.

Figure 4.

Figure 4

Correlation between A) experimental side-chain 13CmethylR2 and backbone 15N-ΔR2 values, B) best-fit direct contact/tethered partition coefficients K3 obtained from 13Cmethyl and backbone 15N data; and C) best-fit C13methyl-R2tethered and N15-R2tethered values for Aβ40. Values for residues (Val and Leu) with two methyl groups are averaged. Color coding: black, Ala; red, Ile (Cγmethyl); green, Leu; blue, Met; and grey, Val. 15N values could not be determined for Ala2 owing to water exchange and are represented here by values for Glu3. Error bars are 1 s.d.

The global best-fit value of C13methyl-R2contact (at a 1H frequency of 600 MHz) is 1330±80 s−1. This value, which corresponds to a homogenous line width of 3 ppm, is consistent with direct methyl group interactions with the surface of large (2–80MDa) protofibril aggregates. Importantly, these direct interactions, though less frequent, are present even for residues such as Ala2 (Figure 1B), in the hydrophilic N-terminal region of Aβ.

The most important additional observations enabled by the 13Cmethyl ΔR2 and DEST experiments relate to the behavior of the side chains in the tethered states. Our previous 15N results suggested that the backbone R2 in the tethered state varies as the average number of residues between the direct contact residue(s) and the residue of interest varies, with the highest N15-R2tethered values (shortest tether) for residues 17–20. However, the role of side-chain atoms in tethered states could not be ascertained, and the relative contribution of a single side chain is obscured, because backbone motions are highly correlated along the peptide chain.[4]

The good correlation between the experimental backbone 15N-ΔR2 and side chain 13CmethylR2 values (correlation coefficient of 0.88) demonstrates the consistency between lifetime line-broadening at backbone and side-chain positions (Figure 4A). However, the 13CmethylR2 values are about half of those of the 15N-ΔR2 values, as expected since C13methyl-R2contact is only about 20-fold higher than koff, such that C13methyl-R2max does not reach the limiting value of konapp.

The validity of the model used to analyze the 13C-methyl data is further evidenced by the high degree of correlation between R2tethered values for side-chain methyl groups and the 15N backbone of alanine residues (correlation coefficient = 0.99). The effective values of C13methyl-R2tethered (Figure 3B, blue circles) for the three alanine residues, whose methyl groups at Cβ reflect the backbone motion, are much higher for Ala21 compared to Ala30 and Ala2 (Figure 3B), just as those at the corresponding 15N positions (Figure 4C, black circles, and solid black line).

The deviation of other methyl-bearing residues from the linear correlation between alanine 13Cmethyl and 15N R2tethered values (Figure 4C, solid line) shows the ability of the 13C-methyl experiments to provide additional information regarding the motion of particular side chains in the tethered state. Some residues, such as Leu34 and Val39, fall along the same correlation line as the alanine residues, indicating that their side chains behave much like the backbone. The remaining residues, however, fall below the alanine correlation with correspondingly smaller, but still well correlated, C13methyl-R2tethered values relative to the N15-R2tethered values (Figure 4C, dashed line with correlation coefficient of 0.85 and a slope value half of that for the alanine correlation) suggesting that the average distance of these methyl groups to the nearest direct contact point is further away than for the backbone.

Within the central hydrophobic region, the values of C13methyl-R2tethered for Leu17 and Ala21 are high, consistent with our previous observations for the corresponding backbone N15-R2tethered values.[4] A lower than expected C13methyl-R2tethered value, however, is observed for Val18 compared to the adjacent Leu17 despite one fewer dihedral angle degree of freedom separating the methyl groups from the backbone, suggesting exclusion of Val18 from transient-tethered-state interactions. Conversely, although the N15-R2tethered values for Val18 are 50% higher than those for Val12, the C13methyl-R2tethered value for Val18 is about 30% lower, suggesting a greater degree of involvement of the Val12 side chain in transient intermolecular contacts in the tethered states than discernable from 15N-DEST alone. Finally, the value of C13methyl-R2tethered for Met35 is significantly lower than that for neighboring residues, indicating that its long side chain retains considerable mobility when not directly in contact with the protofibril surface. (It should be noted that one would not expect to directly observe methyl cross-peaks for the tethered states, even in cases, in which the C13methyl-R2tethered values are low, as at the C-terminus, because the tethered state may be identical in chemical shift to the monomer state, and more importantly any potential cross-peak for a tethered state would be highly broadened in both 1H and 13C dimensions by the off-rate of 51 s−1 due to the highly skewed populations of free and bound Aβ40 exchanging on the surface of the protofibrils.)

The fits reported for the 13Cmethyl DEST and ΔR2 data in Figures 1, 3, and 4 were obtained with optimized values of K3. However, as noted above, almost equally good fits can be obtained by constraining the values of K3 to those obtained previously from analysis of the 15N data.[4] The C13methyl-R2tethered values obtained in this manner are highly correlated to those obtained with optimized K3 values (SI, Figure S6) and hence do not impact the conclusions drawn above. The absolute values of C13methyl-R2tethered as well as the value of C13methyl-R2contact, are about 60–70% higher when K3 is fixed. This is simply due to the fact that the values of K3 and 13Cmethyl-R2 in the bound state are partially anticorrelated such that higher values of K3 (when optimized) lead to lower values of 13Cmethyl-R2 in the bound state.

Our current 13Cmethyl data support a model in which protofibril-bound structures are stabilized by a network of residues (based on the consistency of 15N and 13Cmethyl DEST profiles), whereas methyl-bearing residues contribute to substructures in the tethered states. Further, the current work confirms the validity of the “model-free” representation of the very large ensemble of states that can be sampled on the surface of the protofibrils (Figure 2).

In summary, our analysis combining 13Cmethyl DEST and ΔR2 measurements brings a new, detailed view of the structural and dynamic properties of side-chain methyl groups in exchanging systems involving very high molecular weight (>1 MDa), transient complexes, and provides direct insight into interactions in the vicinity of a given methyl side chain that are inaccessible by other methods. Moreover, the rapid rotation of methyl groups resulting in a large reduction of R2contact relative to the backbone, should permit 13Cmethyl DEST and lifetime line-broadening to be applied to a much larger variety of systems involving both larger NMR-observed species (e.g. greater than 100 kDa) for which the observation of backbone amides would not be feasible, larger dark states (in excess of 80 MDa), and faster exchange kinetics down to the millisecond time scale. Further extension of DEST to all nonmethyl 13C atoms is also possible, but lower signal-to-noise and significant overlap precluded the complete characterization of other side-chain positions in Aβ40.

Supplementary Material

1

Footnotes

**

We thank Drs. Garrett and Baber for technical assistance, and Dr. Torchia for very valuable discussions. This work was supported by the intramural program of NIDDK and the AIDS Targeted Antiviral Program of the NIH Director (to G.M.C.), and by pilot project awards (to N.L.F.) as part of Institutional Development Awards (IDeA) from NIGMS under grant numbers P20 GM103430-13 and P20 GM104937-07.

Supporting information for this article is available on the WWW under http://dx.doi.org/10.1002/anie.201405180.

Contributor Information

Dr. Nicolas L. Fawzi, Email: nicolas_fawzi@brown.edu, Department of Molecular Pharmacology, Physiology and Biotechnology, Brown University, Providence, RI 02912 (USA)

Dr. David S. Libich, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520 (USA)

Dr. Jinfa Ying, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520 (USA)

Dr. Vitali Tugarinov, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520 (USA)

Dr. G. Marius Clore, Email: mariusc@mail.nih.gov, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520 (USA)

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