Abstract
The [PSI+] prion of Saccharomyces cerevisiae is a self-propagating amyloid form of Sup35p, a subunit of the translation termination factor. Using solid-state NMR we have examined the structure of amyloid fibrils formed in vitro from purified recombinant Sup351–253, consisting of the glutamine- and asparagine-rich N-terminal 123-residue prion domain (N) and the adjacent 130-residue highly charged M domain. Measurements of magnetic dipole–dipole couplings among 13C nuclei in a series of Sup35NM fibril samples, 13C-labeled at backbone carbonyl sites of Tyr, Leu, or Phe residues or at side-chain methyl sites of Ala residues, indicate intermolecular 13C–13C distances of ≈0.5 nm for nearly all sites in the N domain. Certain sites in the M domain also exhibit intermolecular distances of ≈0.5 nm. These results indicate that an in-register parallel β-sheet structure underlies the [PSI+] prion phenomenon.
Keywords: solid-state NMR
The nonchromosomal gene [PSI+] of Saccharomyces cerevisiae (1) is an infectious protein (prion) form of Sup35p (2), whose normal activity is as a subunit of the translation termination factor (3, 4). A self-propagating amyloid form of Sup35p is the basis of the [PSI+] prion (5–7). Sup35p consists of three domains: a C-terminal domain with translation termination function (C), a highly charged middle domain (M), and an N-terminal domain necessary and sufficient for the propagation of the [PSI+] prion (N) (8). Variants of the [PSI+] prion (also called strains) can be distinguished by their stability of propagation, the degree to which Sup35p is inactivated (9), and compatibility with point mutants of the Sup35 prion domain sequence (10). Experiments on infection with amyloid fibrils of recombinant Sup35p show that different amyloid forms of Sup35p are responsible for the different [PSI+] variants (11, 12).
The Sup35p prion domain (Sup35N, residues 1–123) is asparagine- and glutamine-rich, is poor in charged residues, and has five imperfect nine-residue repeats with consensus YQQYNPQGG. Sequence shuffling shows that the repeats are not necessary for prion generation or propagation and that amino acid content of the prion domain (not the sequence) determines whether a protein can form a prion (13). Certain point mutations in the prion domain can block propagation of [PSI+] introduced with the wild sequence (14, 15), although the mutant sequence may itself form a prion (16). Thus, propagation of an existing prion is very sequence-specific, as in the species barriers of mammalian prion diseases (reviewed in ref. 17).
Amyloid fibrils are filamentous protein aggregates exhibiting “cross-β” x-ray fiber diffraction patterns, indicating the presence of β-sheets formed by β-strands that are oriented approximately perpendicular to the fiber axis, with interstrand hydrogen bonds approximately parallel to the fiber axis (reviewed in ref. 18). The fact that the prion domains of Ure2p (another yeast prion protein with an N-terminal prion domain rich in asparagine and glutamine) and Sup35p can be shuffled and yet still form prions and amyloid (13, 19) suggests that the amyloid on which these prions are based has an in-register parallel β-sheet structure (20, 21). A prion amyloid structure based on antiparallel β-sheets or β-helices would necessarily be stabilized by interactions among specific sets of unlike residues. These interactions would likely be destroyed by shuffling the sequence. In contrast, an in-register parallel β-sheet structure can be stabilized by intermolecular hydrophobic interactions (22, 23) or polar side chain interactions [e.g., the “polar zipper” interactions suggested by Perutz et al. (24)] among like residues. Shuffling the sequence would still allow like residues to align and interact in such a structure. Thus, shuffleability of a prion domain suggests an in-register parallel β-sheet structure.
The molecular structures of amyloid fibrils, particularly those formed by bona fide proteins, are difficult to determine because of their inherent noncrystalline, insoluble nature. In the case of Sup35p various strategies have been used. A Sup35p fragment with sequence GNNQQNY has been shown to form in-register parallel β-sheets in a crystalline state (25), but it has not been established that this crystal structure is directly relevant to the structure of Sup35NM fibrils. Fluorescence spectroscopy of pyrene-labeled Sup35NM fibrils has been used to argue against an in-register parallel β-sheet structure and to support a β-helical structure (26), as proposed earlier based on fiber diffraction (27). Electron paramagnetic resonance spectroscopy of spin-labeled Sup35NM fibrils has been used to probe intermolecular contacts and strain-dependent variations in rigidity that may be associated with the β-sheet structure (28).
Solid-state NMR methods have been particularly useful in structural studies of amyloid fibrils, because these methods can provide constraints on the intermolecular and intramolecular distances, side-chain contacts, and torsion angles that define molecular structures in amyloid fibrils without chemical modifications of the component proteins or peptides (29). Solid-state NMR measurements provided the first evidence for in-register parallel β-sheets in amyloid fibrils (22, 30, 31). Based on solid-state NMR data, molecular models have been developed for fibrils formed by the β-amyloid peptide associated with Alzheimer's disease (23, 32), residues 218–289 of the HET-s protein (33), and residues 105–115 of transthyretin (34). Solid-state NMR studies of fibrils formed by calcitonin (35), α-synuclein (36), mammalian prion protein fragments (37), and other peptides (38) have been reported. Solid-state NMR data provided direct evidence for intermolecular hydrogen bonding interactions among side-chain amide groups in fibrils formed by residues 10–39 of Ure2p, in addition to establishing an in-register parallel β-sheet structure (20). Solid-state NMR studies of a complete yeast prion domain have not been reported previously.
Investigations of β-sheet structure by solid-state NMR involve measurements of nuclear magnetic dipole–dipole interactions between neighboring molecules in the β-sheets and typically rely on the preparation of samples with site-specific 13C and/or 15N labels (29). In this article we apply the constant-time finite-pulse radiofrequency-driven recoupling (fpRFDR-CT) technique (39) to a series of Sup35NM samples with 13C labels at backbone carbonyl sites of all Tyr, Leu, or Phe residues or methyl sites of all Ala residues. The fpRFDR-CT data imply that the β-sheets in the N domain of Sup35NM fibrils have the same type of in-register parallel organization identified in other amyloid fibrils with the same technique (20, 31, 40). Surprisingly, these measurements (as well as measurements of 13C NMR chemical shifts) also indicate that portions of the M domain, which has been assumed to reside outside the amyloid core (26, 28), also participate in the parallel β-sheets.
Results
EM Indicates Typical Amyloid Morphologies.
Fig. 1 shows EM images of Leu-labeled Sup35NM. The fibrils have the straight, unbranched morphology that is typical of amyloid fibrils. Fibril widths are 9 ± 1 nm, consistent with the fibril diameters on the order of 10 nm previously reported for Sup35NM (7).
Fig. 1.
Transmission electron microscope images of Sup35NM fibrils negatively stained with uranyl acetate. Fibrils are 13C-labeled at Tyr (a and b) or Leu (c) residues. Spacing between arrowheads is 9 nm.
Solid-State 13C NMR Spectra Indicate a Predominant β-Sheet Structure.
Fig. 2 shows one-dimensional 13C NMR spectra of all Sup35NM samples, obtained with magic-angle spinning (MAS). All spectra show a strong line arising from the labeled sites and weaker signals arising from natural-abundance 13C nuclei (1.1%). In each spectrum, the line from the labeled sites has an asymmetric shape, most pronounced in the spectra of the Leu-labeled ether precipitate (Fig. 2f) and Ala-labeled fibrils (Fig. 2g) and least pronounced in the spectrum of Tyr-labeled fibrils (Fig. 2a). All line shapes are fit accurately by a sum of two symmetric Gaussian components with unequal areas, chemical shifts, and (in some cases) widths (Table 1).
Fig. 2.
Solid-state 13C NMR spectra of Sup35NM samples examined in this work. Spectra of Tyr-, Phe-, and Leu-labeled samples were recorded at 9.39 T. Spectra of Ala-labeled and unlabeled samples were recorded at 14.1 T. All spectra were recorded with MAS at 20.00 kHz. An expanded view of the carbonyl NMR line shape for the Leu-labeled, ether-precipitated sample shows the decomposition into major and minor Gaussian components listed in Table 1.
Table 1.
Analysis of 13C NMR line shapes for labeled sites in Sup35NM samples and comparison with fpRFDR-CT results
Sample | Major component of 13-C NMR line from labeled sites |
Minor component of 13C NMR line from labeled sites |
Random coil for labeled sites, chemical shift, ppm | Labeled residues in N domain | Labeled residues in M domain | Labeled residues in β-sheets, from 13C NMR line shapes | Labeled residues in in-register parallel β-sheets (N0.5) | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
Chemical shift, ppm | Line width, FWHM, ppm | Fraction of total peak area | Chemical shift, ppm | Line width, FWHM, ppm | Fraction of total peak area | ||||||
Tyr-labeled* fibrils | 172.6 | 3.8 | 0.91 | 177.0 | 3.8 | 0.09 | 174.2 | 20 | 0 | 18.2 | 21 ± 2 |
Phe-labeled* fibrils | 172.7 | 4.0 | 0.69 | 175.5 | 5.7 | 0.31 | 174.1 | 3 | 1 | 2.8 | 2.5 ± 0.5 |
Leu-labeled* fibrils | 173.5 | 3.4 | 0.77 | 176.6 | 3.6 | 0.23 | 175.9 | 1 | 7 | 6.2 | 7 ± 1 |
Leu-labeled* ether precipitate | 176.9 | 2.9 | 0.58 | 173.5 | 3.5 | 0.42 | 175.9 | 1 | 7 | 3.4 | 3 ± 1 |
Ala-labeled† fibrils | 17.2 | 3.7 | 0.70 | 20.6 | 3.6 | 0.30 | 17.4 | 6 | 9 | 4.5 | 4 ± 2 |
The NMR lines were fit to a sum of two Gaussian peaks. Chemical shifts are relative to tetramethylsilane. Random coil chemical shifts are taken from Wishart et al. (59). The N and M domains are taken to be residues 1–123 and 124–253, respectively.
*Backbone carbonyl-labeled.
†Methyl carbon-labeled.
For the carbonyl NMR lines in spectra of the Tyr-, Phe-, and Leu-labeled fibril samples (Fig. 2 a, c, and d), the major components are shifted upfield from the corresponding random coil chemical shifts, as expected for backbone carbonyl sites in β-strands (32, 40, 41) (Table 1). The minor components are shifted downfield, indicating non-β-strand conformations for a fraction of the labeled residues. The relative areas of the major and minor components suggest that 18 of 20 Tyr residues, six of eight Leu residues, and three of four Phe residues are in β-strands in Sup35NM fibrils.
Hydration of Leu-labeled fibrils (Fig. 2e) results in a reduction of the carbonyl NMR line width from 3.6 ppm to 2.4 ppm, attributable to increased molecular motion in the hydrated state. The major and minor components of the carbonyl NMR line in the spectrum of a Leu-labeled, ether-precipitated sample (Fig. 2f) are reversed relative to those in the spectrum of the Leu-labeled fibrils. The relative areas suggests that three additional Leu residues convert to non-β-strand conformations in the ether-precipitated sample.
For the methyl NMR line in the spectrum of the Ala-labeled fibril sample (Fig. 2g), the major component has a chemical shift approximately equal to the random coil value. The minor component is shifted downfield, as expected for Ala methyl lines from residues in β-strands (32, 40, 41). The relative areas suggest that five of 15 Ala residues are in β-strands, whereas the remaining Ala residues may have non-β-strand conformations.
fpRFDR-CT Data Indicate 0.5-nm Nearest-Neighbor 13C–13C Distances for Most Labeled Sites.
The fpRFDR-CT technique (39) is an example of a dipolar recoupling technique in solid-state NMR (29, 42), in which radio-frequency pulses are applied in synchrony with MAS to selectively restore (i.e., recouple) the 13C–13C dipole–dipole interactions that would otherwise be averaged to zero by MAS. The fpRFDR-CT pulse sequence also averages out 13C chemical shift interactions. 13C NMR signal decays under fpRFDR-CT are then in principle determined only by the recoupled 13C–13C interactions, which are proportional to the inverse cube of 13C–13C distances. The fpRFDR-CT data are recorded in a constant-time manner, meaning that the effective dipolar dephasing times in Fig. 3 are incremented by rearrangements of pulses within the pulse sequence while keeping the total pulse sequence length constant. As previously demonstrated (31), signal decays under fpRFDR-CT are therefore insensitive to effects of spin relaxation and pulse imperfections, allowing the determination of relatively long (i.e., >0.5 nm) interatomic distances with ≈10% precision.
Fig. 3.
Measurements of 13C–13C nuclear magnetic dipole–dipole couplings in Sup35NM samples with the fpRFDR-CT solid-state NMR technique. (a) Experimental data for Tyr-, Phe-, Leu-, and Ala-labeled Sup35NM fibrils obtained at 9.39 T with MAS at 20.00 kHz. Error bars for Tyr, Leu, and Ala data are approximately equal to the symbol sizes. Simulated fpRFDR-CT curves are shown for ideal linear chains of 13C nuclei with 0.4-, 0.5-, 0.6-, and 0.7-nm spacings (solid, dashed, dotted, and dash-dotted lines, respectively). (b) Experimental data for Leu-labeled fibrils, hydrated Leu-labeled fibrils, Leu-labeled ether precipitate, and unlabeled Sup35NM fibrils. (c) Experimental data for Tyr-labeled fibrils and fibrils formed from a 4:1 mixture of unlabeled and Tyr-labeled Sup35NM.
Fig. 3a shows fpRFDR-CT data for Leu-, Tyr-, Phe-, and Ala-labeled Sup35NM fibril samples, along with simulated curves for linear chains of 13C labels with interatomic distances between 0.4 nm and 0.7 nm. Data for all samples exhibit a component that decays on a time scale of 35 ms, indicating 13C–13C distances of ≈0.5 nm. Fig. 3b shows fpRFDR-CT data for carbonyl sites in unlabeled Sup35NM fibrils and for the Leu-labeled, ether-precipitated sample. The fraction of rapidly decaying Leu carbonyl NMR signal is reduced significantly in the ether-precipitated sample. The unlabeled fibril sample shows no rapidly decaying fpRFDR-CT signal, as expected if decay on the 35-ms time scale is due to 13C–13C dipole–dipole couplings.
We estimate the number N0.5 of 13C-labeled sites in each sample that are within 0.5 nm of at least one other 13C-labeled site from the relation N0.5 = Nres(Siso − S′)/(Siso − S0.5), where S′ is the observed fpRFDR-CT signal at 50 ms (approximately equal to 13, 22, 42, and 63 for the Tyr-, Leu-, Phe-, and Ala-labeled samples), Nres is the number of labeled residues (equal to 20, 8, 4, and 15 for the Tyr-, Leu-, Phe-, and Ala-labeled samples), and Siso and S0.5 are the expected fpRFDR-CT signals at 50 ms for isolated 13C labels and for 13C labels that are within 0.5 nm of other labels, respectively. We take S0.5 = 16 ± 5 and Siso = 80 ± 10, based on the simulated fpRFDR-CT curves in Fig. 3a and the curve for unlabeled Sup35NM fibrils in Fig. 3b. We obtain N0.5 = 21 ± 2, 7 ± 1, 2.5 ± 0.5, and 4 ± 2 for the Tyr-, Leu-, Phe-, and Ala-labeled Sup35NM fibril samples. For the Leu-labeled, ether-precipitated sample, N0.5 = 3 ± 1 (Table 1).
Fig. 3c compares fpRFDR-CT data for an isotopically diluted Tyr-labeled sample with those for the fully labeled sample. Dilution of Tyr-labeled Sup35NM with four parts of unlabeled Sup35NM reduces the fraction of rapidly decaying signal, yielding an apparent N0.5 = 9 ± 2. This result shows that intermolecular (rather than intramolecular) dipole–dipole couplings are the primary source of signal decay in the fpRFDR-CT measurements.
Discussion
Solid-State NMR Data Indicate In-Register Parallel β-Sheets in Sup35NM Fibrils.
We assign the 0.5-nm 13C–13C distances revealed by the fpRFDR-CT data to distances between 13C labels in neighboring Sup35NM molecules in β-sheets because the labeled sites (with the exception of Tyr carbonyl labels at residues 45 and 46 and Ala methyl labels at residues 136 and 137) are separated by at least one intervening unlabeled residue and because the distance between neighboring peptide chains in a β-sheet is 0.47 ± 0.01 nm (43). We identify the β-sheets as being of the in-register parallel type because an out-of-register parallel β-sheet or an antiparallel β-sheet would not produce 0.5-nm distances for the large number of sites observed experimentally, especially given the irregular distribution of labeled residues along the Sup35NM sequence. The observation of 0.5-nm intermolecular distances for Ala methyl sites is a particularly strong constraint because a one-residue shift from in-register alignment in an ideal parallel β-sheet would increase the intermolecular distances for Ala methyl sites from ≈0.47 nm to ≈0.67 nm.
Values of N0.5 derived from the fpRFDR-CT data for Sup35NM fibrils are in good agreement with the numbers of labeled residues in β-strand segments estimated from the 13C NMR line shapes (see Table 1). This result supports the interpretation of the fpRFDR-CT data as evidence for in-register parallel β-sheets. The reduced value of N0.5 in the Leu-labeled, ether-precipitated sample is also consistent with the observation of a stronger non-β-strand component in the 13C NMR spectrum.
The value of N0.5 for the Tyr-labeled sample indicates that nearly the entire N domain of Sup35NM participates in the in-register parallel β-sheet structure, as the Tyr residues are distributed throughout the N domain. The value of N0.5 for the Phe-labeled sample is then consistent with the fact that the N domain contains three Phe residues. The N domain also contains six Ala residues. The value of N0.5 for the Ala-labeled sample is also consistent with an in-register parallel β-sheet structure for the N domain, but approximately half of the fpRFDR-CT signal from Ala-136 and Ala-137 (in the M domain) is also expected to decay rapidly because of intramolecular dipole–dipole couplings. Thus, our data suggest that at least one Ala site in the N domain is not in an in-register parallel β-sheet. Ala-42, which immediately follows a proline, is a likely candidate.
Given a 4:1 ratio of unlabeled:labeled Sup35NM molecules in the isotopically diluted Tyr-labeled sample, the probability that a given labeled molecule would have at least one labeled nearest-neighbor in a parallel β-sheet is 0.36. Taking into account the fact that the carbonyl 13C NMR signals of Tyr-45 and Tyr-46 should decay because of intramolecular couplings, we predict N0.5 ≈ 8.5 for the isotopically diluted Tyr-labeled sample, in good agreement with the value derived from the experimental data.
The M Domain Contains In-Register Parallel β-Sheets.
The result that N0.5 = 7 ± 1 for the Leu-labeled fibrils is surprising, given that only Leu-110 is in the N domain. Apparently, part of the M domain also forms in-register parallel β-sheets. Examination of the Sup35NM sequence suggests that Leu-126, Leu-144, Leu-146, Leu-218, and Leu-238 may be in β-sheets, because none of these residues is in a segment with a high net charge. Leu-212 is likely to be outside of the β-sheet structure, because Leu-212 is preceded by a negatively charged segment and immediately followed by a proline. Leu-154 may also be outside the β-sheet structure. Hydration of Leu-labeled fibrils has little effect on the fpRFDR-CT data (Fig. 3b). This result indicates that β-sheet formation in the M domain is not simply a reversible artifact of the lyophilization of Sup35NM fibrils performed for solid-state NMR measurements.
Additional experiments will be required to identify the β-strands in the M domain unambiguously. Nonetheless, our data for the Leu-labeled sample support the possibility that the M domain adopts a structure comprised of alternating β-strands (forming in-register parallel β-sheets) and loops, with the highly charged and proline-containing segments of the M domain being located in the loops. Similar alternation of β-strand segments and loop (or bend) segments in amyloid fibrils has been established for β-amyloid fibrils (23, 32, 44) and HET-s fibrils (33, 45) and has been suggested for amylin fibrils (46), α-synuclein fibrils (36, 47), and Ure2p prion fibrils (20, 48). The β-strand segments in these fibrils are typically 6–10 residues in length, whereas the loop segments may be only three to four residues in length and can in principle be much longer.
Because our data indicate that nearly all Tyr residues are in β-strands, the loop segments in the N domain of Sup35NM fibrils are likely to be relatively short and the N domain may contain between four and eight β-strands. In contrast, the M domain may contain between three and five β-strands, with the charge-rich residues 130–142, 160–220, and 241–253 likely to be in loops. Fig. 4 shows a very tentative schematic model for the Sup35NM fibril structure suggested by our data.
Fig. 4.
Tentative model of Sup35NM amyloid. The N domain (blue) is largely β-sheet, whereas the M domain (green) consists of both β-sheet and non-β-sheet regions. The model is schematic and does not pretend to portray the locations, number, or lengths of β-strands or loops, which may depend on the prion variant.
Comparisons with Previous Structural Studies.
Kishimoto et al. (27) have reported x-ray fiber diffraction patterns of Sup35NM (1–253), Sup35NMp (1–189), and Sup35N (1–123) fibrils in which the meridional 4.7-Å and equatorial ≈9-Å reflections of a cross-β structure are present in dried samples but the equatorial reflections are absent in hydrated samples. They interpreted the absence of equatorial reflections as evidence for a β-helical structure (rather than a layered β-sheet structure), implying that most backbone hydrogen bonds between β-strands would be intramolecular. However, the hydrated samples produced lower total scattering intensities, suggesting that the weaker equatorial reflections may have been obscured by background. Our data are inconsistent with a β-helical structure for Sup35NM fibrils.
Krishnan and Lindquist (26) studied cysteine-substituted Sup35NM derivatives chemically modified with pyrene maleimide (C20H12NO2). When fibrils were formed from Sup35NM monomers labeled with pyrene maleimide, excimer fluorescence (because of interaction of pyrene pairs) was seen for labels on residues 25–38 (called the head) or residues 91–106 (called the tail) but not the intervening region. Krishnan and Lindquist (26) interpreted this result as being inconsistent with an in-register parallel β-sheet structure but consistent with a β-helical model with head-to-head and tail-to-tail interactions connecting monomers. The size of the pyrene maleimide probe (≈1.0 nm × 0.5 nm, compared with the 0.47-nm distance between β-strands and the 0.8- to 1.0-nm distance between β-sheets in a typical layered β-sheet structure) could have affected the outcome of these studies. In addition, the intensity of pyrene excimer fluorescence depends on the precise geometry of pyrene pair interactions and requires mobility of pyrene labels to achieve the optimal geometry (49, 50). The sterically crowded environment of a fibril core may preclude excimer formation. Parham et al. (51) have reported that deletion of residues 94–112 does not prevent transmission of [PSI+].
Sup35NM dimers with cross-links in residues 21–106 exhibited retarded amyloid formation (26), possibly because of formation of an off-pathway dimer structure. Solvent accessibility was greater for cysteines in N than for several cysteines in M (26), suggesting a more compact structure for N. The labeled sites in M could be in loops or solvent-exposed β-sheets. Thus, the data of Krishnan and Lindquist (26) are not inconsistent with our data or the parallel in-register β-sheet model.
Measurements of the mass per unit length of Sup351–65 fibrils showed approximately one monomer per 0.47 nm in each of three variants (52). This result is inconsistent with a single-helix β-helical model but is consistent with an in-register parallel β-sheet structure with purely intermolecular backbone hydrogen bonding.
Variants of [PSI+], differing in prion stability, in the intensity of the nonsense-suppression phenotype, or in the range of Sup35 prion domain sequences that can propagate them, have been described (10, 53). These phenotypic differences reflect structural variations in the Sup35p fibrils that transmit the trait (11, 12), but the precise nature of structural variations is not known. In the case of β-amyloid fibrils, structural differences between fibril forms include differences in the detailed conformation of the loop segment, differences in certain side-chain interactions, and differences in mass per unit length, but not differences in the identity of β-strand segments or deviations from an in-register parallel β-sheet structure (40). Sup35NM fibrils used in our experiments were produced with initial nucleation at 4°C, a condition reported to favor formation of a single variant of [PSI+], but we have no evidence that only a single variant was indeed produced. Future experiments may reveal whether [PSI+] variants have different loop segments (in either N or M), different contacts between β-sheets, or other specific structural differences. One intriguing possibility raised by our results is that structural variations in the M domain underlie the phenomenon of [PSI+] variants.
Materials and Methods
Protein Expression, 13C-Labeling, Protein Purification, and Fibril Formation.
Sup35NM was expressed for isotope labeling from pJC25NMstop (54) in Escherichia coli strain BL21(DE3) as described (55), with modifications suggested by Ulrich Baxa (personal communication). Sup35NM dialyzed into 5 mM KH2PO4 (pH 6.8), and 150 mM NaCl was incubated at 20°C at 1 mg/ml without shaking for 1 week for fibril formation. A dilutely labeled fibril sample was prepared by dissolving Tyr-labeled Sup35NM fibrils and unlabeled fibrils in trifluoroacetic acid in a 1:4 ratio, evaporating the trifluoroacetic acid under nitrogen, dissolving the resulting solid in 6 M guanidine hydrochloride, and allowing fibrils to form under dialysis against 5 mM phosphate buffer (pH 6.8). Ether-precipitated Sup35NM was prepared by dissolving Leu-labeled fibrils in trifluoroacetic acid, diluting 10-fold in cold t-butyl methyl ether, allowing the precipitate to form at −20°C for 24 h, and drying under nitrogen. Details are in supporting information (SI) Text.
Solid-State NMR.
Solid-state NMR measurements were performed at 9.39 T (100.4-MHz 13C NMR frequency) and 14.1 T (150.7-MHz 13C NMR frequency) using InfinityPlus spectrometers (Varian, Palto Alto, CA) and MAS NMR probes (Varian) with 3.2-mm-diameter rotors. All measurements were at room temperature. 13C NMR spectra were recorded at an MAS frequency of 20.00 kHz with 1H–13C cross-polarization (56) and two-pulse phase-modulated 1H decoupling (57). The fpRFDR-CT measurements were carried out at an MAS frequency of 20.00 kHz under pulse sequence conditions identical to those described previously (20, 31, 40), including pulsed spin-lock detection for an improved signal-to-noise ratio (58). Sup35NM fibrils were lyophilized for solid-state NMR measurements. Sample masses were 2–6 mg. Each fpRFDR-CT data point in Fig. 3 is the result of 384-2560 scans with a 4-s recycle delay.
Raw fpRFDR-CT data were corrected for contributions from natural-abundance (1.1%) 13C NMR signals as follows: (i) fpRFDR-CT data were recorded for carbonyl 13C signals in an unlabeled sample (Fig. 3b) and fit to a linear decay, resulting in a standard natural-abundance signal Sna(t) = 100 − 0.392t, where t is the effective dipolar dephasing time in milliseconds; (ii) the average number Nna of natural-abundance 13C nuclei per Sup35NM molecule was evaluated as 0.011(Nsites − Nlabels), where the number Nsites of carbon sites potentially contributing to the fpRFDR-CT signals was taken to be 347 for carbonyl signals (for measurements on the Leu-, Tyr-, and Phe-labeled samples) and 68 for methyl signals (for measurements on the Ala-labeled sample) and the number Nlabels of 13C-labeled sites per molecule was taken to be 8, 20, 4, and 6 for the Leu-, Tyr-, Phe-, and Ala-labeled samples (taking into account the 40% incorporation of 13C in the Ala-labeled sample). Nlabels was taken to be 4 for the isotopically diluted Tyr-labeled sample; (iii) the corrected fpRFDR-CT data S(t) were calculated from the raw data Sraw(t) according to the equation S(t) = [Sraw(t) − fnaSna(t)]/(1 − fna), with fna = Nna/(Nna + Nlabels), after scaling the raw data so that Sraw(0) = 100. Corrected data are plotted in Fig. 3. Data for the Ala-labeled sample in Fig. 3a are additionally corrected for the 40% incorporation of 13C by adding 0.36 Nlabels = 2.16 to Nna, based on the fact that a fraction (1 − x)2 of the 13C labels would not have a nearest-neighbor 13C label within 0.5 nm in an in-register parallel β-sheet if the fractional incorporation were x.
Simulations of fpRFDR-CT data were performed as described previously (31). These simulations assume a linear chain of equally spaced 13C labels, appropriate for an ideal in-register parallel β-sheet with either backbone carbonyl or side-chain β-carbons.
Supplementary Material
Acknowledgments
We thank Dr. D. Eric Anderson for mass spectrometry measurements and Drs. Pampa Ray and Jenny Hinshaw for assistance with EM. This work was supported by the Intramural Program of the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health.
Abbreviations
- fpRFDR-CT
constant-time finite-pulse radiofrequency-driven recoupling
- MAS
magic-angle spinning.
Footnotes
The authors declare no conflict of interest.
This article contains supporting information online at www.pnas.org/cgi/content/full/0609638103/DC1.
References
- 1.Cox BS. Heredity. 1965;20:505–521. [Google Scholar]
- 2.Wickner RB. Science. 1994;264:566–569. doi: 10.1126/science.7909170. [DOI] [PubMed] [Google Scholar]
- 3.Frolova L, LeGoff X, Rasmussen HH, Cheperegin S, Drugeon G, Kress M, Arman I, Haenni A-L, Celis JE, Philippe M, et al. Nature. 1994;372:701–703. doi: 10.1038/372701a0. [DOI] [PubMed] [Google Scholar]
- 4.Stansfield I, Jones KM, Kushnirov VV, Dagkesamanskaya AR, Poznyakovski AI, Paushkin SV, Nierras CR, Cox BS, Ter-Avanesyan MD, Tuite MF. EMBO J. 1995;14:4365–4373. doi: 10.1002/j.1460-2075.1995.tb00111.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Paushkin SV, Kushnirov VV, Smirnov VN, Ter-Avanesyan MD. EMBO J. 1996;15:3127–3134. [PMC free article] [PubMed] [Google Scholar]
- 6.King C-Y, Tittmann P, Gross H, Gebert R, Aebi M, Wuthrich K. Proc Natl Acad Sci USA. 1997;94:6618–6622. doi: 10.1073/pnas.94.13.6618. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Glover JR, Kowal AS, Shirmer EC, Patino MM, Liu J-J, Lindquist S. Cell. 1997;89:811–819. doi: 10.1016/s0092-8674(00)80264-0. [DOI] [PubMed] [Google Scholar]
- 8.TerAvanesyan A, Dagkesamanskaya AR, Kushnirov VV, Smirnov VN. Genetics. 1994;137:671–676. doi: 10.1093/genetics/137.3.671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Derkatch IL, Bradley ME, Zhou P, Chernoff YO, Liebman SW. Genetics. 1997;147:507–519. doi: 10.1093/genetics/147.2.507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.King CY. J Mol Biol. 2001;307:1247–1260. doi: 10.1006/jmbi.2001.4542. [DOI] [PubMed] [Google Scholar]
- 11.King CY, Diaz-Avalos R. Nature. 2004;428:319–323. doi: 10.1038/nature02391. [DOI] [PubMed] [Google Scholar]
- 12.Tanaka M, Chien P, Naber N, Cooke R, Weissman JS. Nature. 2004;428:323–328. doi: 10.1038/nature02392. [DOI] [PubMed] [Google Scholar]
- 13.Ross ED, Edskes HK, Terry MJ, Wickner RB. Proc Natl Acad Sci USA. 2005;102:12825–12830. doi: 10.1073/pnas.0506136102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Doel SM, McCready SJ, Nierras CR, Cox BS. Genetics. 1994;137:659–670. doi: 10.1093/genetics/137.3.659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.DePace AH, Santoso A, Hillner P, Weissman JS. Cell. 1998;93:1241–1252. doi: 10.1016/s0092-8674(00)81467-1. [DOI] [PubMed] [Google Scholar]
- 16.Kochneva-Pervukhova NV, Paushkin SV, Kushnirov VV, Cox BS, Tuite MF, Ter-Avanesyan MD. EMBO J. 1998;17:5805–5810. doi: 10.1093/emboj/17.19.5805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Glatzel M, Stoeck K, Seeger H, Luhrs T, Aguzzi A. Arch Microbiol. 2005;62:545–552. doi: 10.1001/archneur.62.4.545. [DOI] [PubMed] [Google Scholar]
- 18.Sipe JD, Cohen AS. J Struct Biol. 2000;130:88–98. doi: 10.1006/jsbi.2000.4221. [DOI] [PubMed] [Google Scholar]
- 19.Ross ED, Baxa U, Wickner RB. Mol Cell Biol. 2004;24:7206–7213. doi: 10.1128/MCB.24.16.7206-7213.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Chan JCC, Oyler NA, Yau W-M, Tycko R. Biochemistry. 2005;44:10669–10680. doi: 10.1021/bi050724t. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ross ED, Minton AP, Wickner RB. Nat Cell Biol. 2005;7:1039–1044. doi: 10.1038/ncb1105-1039. [DOI] [PubMed] [Google Scholar]
- 22.Antzutkin ON, Balbach JJ, Leapman RD, Rizzo NW, Reed J, Tycko R. Proc Natl Acad Sci USA. 2000;97:13045–13050. doi: 10.1073/pnas.230315097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Petkova AT, Yau WM, Tycko R. Biochemistry. 2006;45:498–512. doi: 10.1021/bi051952q. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Perutz MF, Johnson T, Suzuki M, Finch JT. Proc Natl Acad Sci USA. 1994;91:5355–5358. doi: 10.1073/pnas.91.12.5355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Nelson R, Sawaya MR, Balbirnie M, Madsen AO, Riekel C, Grothe R, Eisenberg D. Nature. 2005;435:773–778. doi: 10.1038/nature03680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Krishnan R, Lindquist S. Nature. 2005;435:765–772. doi: 10.1038/nature03679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kishimoto A, Hasegawa K, Suzuki H, Taguchi H, Namba K, Yoshida M. Biochem Biophys Res Commun. 2004;315:739–745. doi: 10.1016/j.bbrc.2004.01.117. [DOI] [PubMed] [Google Scholar]
- 28.Tanaka M, Chien P, Yonekura K, Weissman JS. Cell. 2005;121:49–62. doi: 10.1016/j.cell.2005.03.008. [DOI] [PubMed] [Google Scholar]
- 29.Tycko R. Q Rev Biophys. 2006;1:1–55. doi: 10.1017/S0033583506004173. [DOI] [PubMed] [Google Scholar]
- 30.Benzinger TL, Gregory DM, Burkoth TS, Miller-Auer H, Lynn DG, Botto RE, Meredith SC. Proc Natl Acad Sci USA. 1998;95:13407–13412. doi: 10.1073/pnas.95.23.13407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Balbach JJ, Petkova AT, Oyler NA, Antzutkin ON, Gordon DJ, Meredith SC, Tycko R. Biophys J. 2002;83:1205–1216. doi: 10.1016/S0006-3495(02)75244-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Petkova AT, Ishii Y, Balbach JJ, Antzutkin ON, Leapman RD, Delaglio F, Tycko R. Proc Natl Acad Sci USA. 2002;99:16742–16747. doi: 10.1073/pnas.262663499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ritter C, Maddelein ML, Siemer AB, Luhrs T, Ernst M, Meier BH, Saupe SJ, Riek R. Nature. 2005;435:844–848. doi: 10.1038/nature03793. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Jaroniec CP, MacPhee CE, Bajaj VS, McMahon MT, Dobson CM, Griffin RG. Proc Natl Acad Sci USA. 2004;101:711–716. doi: 10.1073/pnas.0304849101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Naito A, Kamihira M, Inoue R, Saito H. Magn Reson Chem. 2004;42:247–257. doi: 10.1002/mrc.1323. [DOI] [PubMed] [Google Scholar]
- 36.Heise H, Hoyer W, Becker S, Andronesi OC, Riedel D, Baldus M. Proc Natl Acad Sci USA. 2005;102:15871–15876. doi: 10.1073/pnas.0506109102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Laws DD, Bitter HML, Liu K, Ball HL, Kaneko K, Wille H, Cohen FE, Prusiner SB, Pines A, Wemmer DE. Proc Natl Acad Sci USA. 2001;98:11686–11690. doi: 10.1073/pnas.201404298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Kammerer RA, Kostrewa D, Zurdo J, Detken A, Garcia-Echeverria C, Green JD, Muller SA, Meier BH, Winkler FK, Dobson CM, Steinmetz MO. Proc Natl Acad Sci USA. 2004;101:4435–4440. doi: 10.1073/pnas.0306786101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Ishii Y, Balbach JJ, Tycko R. Chem Phys. 2001;266:231–236. [Google Scholar]
- 40.Petkova AT, Leapman RD, Guo Z, Yau WM, Mattson MP, Tycko R. Science. 2005;307:262–265. doi: 10.1126/science.1105850. [DOI] [PubMed] [Google Scholar]
- 41.Balbach JJ, Ishii Y, Antzutkin ON, Leapman RD, Rizzo NW, Dyda F, Reed J, Tycko R. Biochemistry. 2000;39:13748–13759. doi: 10.1021/bi0011330. [DOI] [PubMed] [Google Scholar]
- 42.Griffin RG. Nat Struct Biol. 1998;5:508–512. doi: 10.1038/749. [DOI] [PubMed] [Google Scholar]
- 43.Sunde M, Blake CCF. Q Rev Biophys. 1998;31:1–39. doi: 10.1017/s0033583598003400. [DOI] [PubMed] [Google Scholar]
- 44.Torok M, Milton S, Kayed R, Wu P, McIntire T, Glabe CG, Langen R. J Biol Chem. 2002;277:40810–40815. doi: 10.1074/jbc.M205659200. [DOI] [PubMed] [Google Scholar]
- 45.Siemer AB, Ritter C, Steinmetz MO, Ernst M, Riek R, Meier BH. J Biomol NMR. 2006;34:75–87. doi: 10.1007/s10858-005-5582-7. [DOI] [PubMed] [Google Scholar]
- 46.Kajava AV, Aebi U, Steven AC. J Mol Biol. 2005;348:247–252. doi: 10.1016/j.jmb.2005.02.029. [DOI] [PubMed] [Google Scholar]
- 47.Der-Sarkissian A, Jao CC, Chen J, Langen R. J Biol Chem. 2003;278:37530–37535. doi: 10.1074/jbc.M305266200. [DOI] [PubMed] [Google Scholar]
- 48.Kajava AV, Baxa U, Wickner RB, Steven AC. Proc Natl Acad Sci USA. 2004;101:7885–7890. doi: 10.1073/pnas.0402427101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Tro NJ, Haynes DR, Nishimura AM, George SM. J Chem Phys. 1989;91:5778–5785. [Google Scholar]
- 50.Srinivas BN, Kinoshita M, McGlynn SP. J Chem Phys. 1967;47:5090–5096. [Google Scholar]
- 51.Parham SN, Resende CG, Tuite MF. EMBO J. 2001;20:2111–2119. doi: 10.1093/emboj/20.9.2111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Diaz-Avalos R, King CY, Wall JS, Simon M, Caspar DLD. Proc Natl Acad Sci USA. 2005;102:10165–10170. doi: 10.1073/pnas.0504599102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Derkatch IL, Chernoff YO, Kushnirov VV, Inge-Vechtomov SG, Liebman SW. Genetics. 1996;144:1375–1386. doi: 10.1093/genetics/144.4.1375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Serio TR, Cashikar AG, Moslehi JJ, Kowal AS, Lindquist S. Methods Enzymol. 1999;309:649–673. doi: 10.1016/s0076-6879(99)09043-6. [DOI] [PubMed] [Google Scholar]
- 55.Blanco FJ, Hess S, Pannell LK, Rizzo NW, Tycko R. J Mol Biol. 2001;313:845–859. doi: 10.1006/jmbi.2001.5067. [DOI] [PubMed] [Google Scholar]
- 56.Pines A, Gibby MG, Waugh JS. J Chem Phys. 1973;59:569–590. [Google Scholar]
- 57.Bennett AE, Rienstra CM, Auger M, Lakshmi KV, Griffin RG. J Chem Phys. 1995;103:6951–6958. [Google Scholar]
- 58.Petkova AT, Tycko R. J Magn Reson. 2002;155:293–299. doi: 10.1006/jmre.2002.2519. [DOI] [PubMed] [Google Scholar]
- 59.Wishart DS, Bigam CG, Holm A, Hodges RS, Sykes BD. J Biomol NMR. 1995;5:67–81. doi: 10.1007/BF00227471. [DOI] [PubMed] [Google Scholar]
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