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The Journal of Biological Chemistry logoLink to The Journal of Biological Chemistry
. 2016 Jul 14;291(36):19172–19183. doi: 10.1074/jbc.M116.735977

An Internal Disulfide Locks a Misfolded Aggregation-prone Intermediate in Cataract-linked Mutants of Human γD-Crystallin*

Eugene Serebryany ‡,1, Jaie C Woodard §,1, Bharat V Adkar §, Mohammed Shabab , Jonathan A King ‡,2, Eugene I Shakhnovich §,3
PMCID: PMC5009285  PMID: 27417136

Abstract

Considerable mechanistic insight has been gained into amyloid aggregation; however, a large number of non-amyloid protein aggregates are considered “amorphous,” and in most cases, little is known about their mechanisms. Amorphous aggregation of γ-crystallins in the eye lens causes cataract, a widespread disease of aging. We combined simulations and experiments to study the mechanism of aggregation of two γD-crystallin mutants, W42R and W42Q: the former a congenital cataract mutation, and the latter a mimic of age-related oxidative damage. We found that formation of an internal disulfide was necessary and sufficient for aggregation under physiological conditions. Two-chain all-atom simulations predicted that one non-native disulfide in particular, between Cys32 and Cys41, was likely to stabilize an unfolding intermediate prone to intermolecular interactions. Mass spectrometry and mutagenesis experiments confirmed the presence of this bond in the aggregates and its necessity for oxidative aggregation under physiological conditions in vitro. Mining the simulation data linked formation of this disulfide to extrusion of the N-terminal β-hairpin and rearrangement of the native β-sheet topology. Specific binding between the extruded hairpin and a distal β-sheet, in an intermolecular chain reaction similar to domain swapping, is the most probable mechanism of aggregate propagation.

Keywords: cataract, crystallin, disulfide, oxidative stress, protein aggregation, protein misfolding, all-atom Monte Carlo simulation, domain swapping, unfolding intermediate

Introduction

Partially unfolded or misfolded, aggregation-prone protein conformational states are linked to a wide array of age-related protein misfolding diseases. The best studied of these conditions include amyotrophic lateral sclerosis (superoxide dismutase), Parkinson disease (α-synuclein), serpinopathies (α1-antitrypsin), cancers with P53 and P21 tumor suppressor defects, and lens cataract (crystallins) (15). Some of these aggregates contain the well known amyloid structure, and others do not; even in cases where amyloid is the final aggregated state, oligomers, prefibrillar species, and amorphous aggregates are often closely linked to pathology (6, 7). Structures and interactions of specific locally unfolded or misfolded intermediate states are critically important in the mechanisms of non-amyloid aggregation (1). Here, we investigate such an intermediate-based aggregation mechanism for a lens γ-crystallin.

Because the critical properties of protein structure (thermodynamic and kinetic stability, as well as alternative, misfolded, or partially unfolded conformational states) are encoded ultimately in the sequence, point mutations have been found to underlie familial forms of virtually all misfolding diseases. However, most conformational diseases are sporadic in origin, with neither inherited nor de novo mutations present in the relevant genes. In the absence of mutations, such cases may arise from direct chemical modifications of residues within the relevant polypeptide. Well studied examples include superoxide dismutase 1, the eye lens crystallins, and α-synuclein (4, 810). In a great number of other cases, post-translational modifications cause conformational change as part of the normal function of a protein. During the course of aging, both somatic mutations and side-chain modifications tend to accumulate, further increasing the heterogeneity of the proteome (11, 12).

The human lens grows slowly in layers throughout life; its core, however, is metabolically inert and therefore provides a striking case study in protein aging (13). Lens core cells are enucleated, contain no organelles or protein synthesis and diminished degradation machinery, and are never replaced (1315). Crystallins comprise over 90% of their total protein content. Lens transparency depends on the crystallins' structural integrity and lack of long-range packing even at very high concentrations (16). Passive chaperones, the α-crystallins, are present in lens, but their capacity declines with age, even as their substrates, the βγ-crystallins, accumulate destabilizing chemical modifications (13) due to a variety of environmental damage (17). The result is generation of partially unfolded intermediate conformational states and progressive increase in light scattering (lens turbidity) due to aggregation (1821). No long-range structure, amyloid or otherwise, has been found in the cataractous aggregates (22, 23), except in certain rare congenital cases (24, 25), but disulfide bonds and other covalent modifications are common (13, 2629).

Non-native disulfides can act as kinetic traps in protein folding and misfolding (3033). Hence, some pathways of protein aggregation depend strongly on the redox environment. Notable examples include superoxide dismutase 1 (34, 35) and β2-microglobulin (3638). We and others have demonstrated that γ-crystallins, too, form crucial disulfide-mediated interactions. Thus, aggregation of W42Q γD-crystallin depends on internal disulfide bonds (39), and so do the folding kinetics and protease sensitivity of γB-crystallin (40). Although the crystallins are cytosolic, and therefore initially fold in a reducing environment, the redox potential of lens cytosol shifts toward increasingly oxidizing values during the course of aging and, especially, cataractogenesis (41). Accordingly, the proportion of Cys residues forming disulfide bonds increases over time (42), and mature cataracts show disulfide cross-linking in over half of the lens protein content (43).

To better understand the nature of the aggregation precursor and the mechanism of non-amyloid aggregation for human γD-crystallin (HγD),4 we iterated between experiments and simulations in studying the oxidation-mimicking W42Q mutant as well as the W42R congenital cataract mutant. Despite the difference in charge, the two mutants' thermostabilities and aggregation properties were nearly identical, and both required formation of an internal disulfide bond for aggregation under physiological conditions in vitro. All-atom, two-chain tethered Monte Carlo simulations using a knowledge-based potential predicted that, of the six possible internal disulfides within the mutated N-terminal domain, the Cys32–Cys41 bond in particular trapped a partially misfolded state prone to specific intermolecular interactions. Experiments confirmed that this bond was indeed required for aggregation in vitro. Independently, a recent proteomic study has linked oxidation of these residues to age-onset cataracts in vivo (44). Constraining the simulations to the now established disulfide enabled us to propose the most likely structure of the locally unfolded aggregation precursor, as well as a polymerization mechanism that shares key features with domain swapping.

Results

W42R and W42Q Are Similar to Each Other in Stability and Aggregation Properties

Trp42, located in the bottom of the N-terminal domain core (Fig. 1A), is particularly sensitive to substitution, as both oxidation-mimicking W42E and W42Q substitutions in vitro and the congenital cataract-linked W42R substitution destabilize the protein and lead to aggregation (39, 45, 46). The congenital and oxidation-mimicking substitutions differ in their charge. Nonetheless, the W42R sample showed very similar aggregation properties to W42Q. The purified protein was stable for weeks in storage at 4 °C, but aggregated in a redox-dependent manner when shifted to a higher temperature (Fig. 1B). Accommodation of charged residues in protein cores has been the subject of intensive study (47, 48), and thus it was of interest to compare the charged (W42R) and neutral (W42Q) core substitutions. Differential scanning calorimetry (DSC) (Fig. 1C) revealed that there was almost no difference in the temperature of the two mutants' unfolding transitions. The available chemical denaturation curves confirm similar stability of W42Q and W42R (39, 46). Table 1 summarizes melting temperatures obtained from DSC of the WT and several mutant constructs.

FIGURE 1.

FIGURE 1.

Aggregation of W42Q and W42R human γD-crystallin is highly redox-dependent. A, backbone ribbon diagram of the native, wild-type γD structure (PDB ID 1HK0) showing the Trp residues as space-filling models and Cys residues in stick representation. Trp42 is colored red. The other Trp residues are shown as yellow space-filling models. All Cys residues are also labeled and shown as stick models. B, turbidity traces of W42R at 150 μm upon shifting from 4 °C to 37 °C in the presence or absence of the reducing agent TCEP. C, differential scanning calorimetry unfolding traces (black) of WT, W42Q, and W42R constructs with empirical three-state fittings (red) reveal that the mutated N-terminal domains have reduced thermostability, but still melt above physiological temperatures. D, the redox potential of the solution was set using the glutathione couple such that [GSH] + 2[GSSG] = 2 mm. Proteins were at 40 μm and 37 °C. The legend on the right shows the approximate OxD (“oxidation degree”) values based on glutathione ratios in vivo, calculated from the data in Ref. 41. OxD = 2[GSSG]/(2[GSSG]+[GSH]). For example, OxD = 0.18 corresponds to [GSH]:[GSSG] ratio of 9:1.

TABLE 1.

Melting temperatures of the N-terminal and C-terminal domains of the WT and several mutants of HγD

Data are reported as mean ± S.D.; n is the number of independent replicates.

Sample Tm(N)a Tm(C)b n
°C °C
WT 85.0 ± 0.4 84.9 ± 0.3 3
W42Q 54.6 ± 0.3 71.1 ± 1.7 2
W42R 56.1 ± 0.7 70.4 ± 0.5 5
C18A/W42Q 51.7 ± 0.2 74.1 ± 0.2 3
C32V/W42Q 60.2 ± 0.2 73.0 ± 0.1 3

a Melting temperatures of the N-terminal domain.

b Melting temperatures of the C-terminal domain.

W42R and W42Q Aggregation Occurs at Solution Redox Potentials Found in Cataractous Lens

Disulfides are known to form in lens cytosol during the course of aging and cataractogenesis as the pool of lens glutathione becomes smaller and more oxidized over time (9, 28, 41, 44). To mimic this physiological oxidation process in vitro, we carried out aggregation experiments by first reducing the proteins completely and then placing them at a series of known redox potentials using glutathione buffers. In those experiments, both mutants showed highly oxidation-dependent aggregation at physiological temperature and pH. The range of aggregation-permissive OxD (oxidation degree, defined as the ratio of oxidized/total glutathione) values was comparable with that found in the lens during cataractogenesis (41) (Fig. 1D). Although both mutants showed clear aggregation by OxD = 0.18, the WT protein did not show any oxidation-dependent aggregation even at OxD = 0.5, suggesting that aggregation requires a partially unfolded or misfolded conformation accessible at physiological temperatures only as a result of the mutations or comparable damage (Fig. 1D).

We have previously reported that the aggregates formed by the temperature-sensitive Trp mutants of γD-crystallin under near physiological conditions are neither disulfide-bridged nor amyloid and expose few hydrophobic residues (39, 45). These observations raised the question of whether a seeding effect exists in this aggregation pathway. Seeding is typical for templated aggregation phenomena, such as amyloidogenesis or crystallization: pre-formed aggregates added to a fresh solution of the protein serve as nuclei, bypassing the lag phase and greatly accelerating the aggregation process. However, as shown in Fig. 2, this is not the case for W42R aggregation under physiological conditions. When a sample from the aggregating protein was mixed in with an identical fresh solution, turbidity initially decreased slightly, and the subsequent lag time was not significantly shorter than that for the initial aggregation. The conformational conversion in W42R HγD does not appear to be a templated one.

FIGURE 2.

FIGURE 2.

Lack of seeding effect in W42R aggregation 180 μm W42R sample in the middle of its linear range of turbidity development was rapidly mixed 1:10 with fresh 180 μm sample of W42R (the mixing is indicated by the red arrow). No significant change in lag time or aggregation rate was observed upon seeding.

Oxidation Causes a Conformational Change in the Mutant Proteins

Intrinsic tryptophan fluorescence is a highly sensitive reporter of conformational change in γD-crystallin, as evidenced by many previous studies (18, 20, 39, 49, 50). As shown in Fig. 3, baseline (non-oxidized) fluorescence spectra show no conformational difference between the WT and mutant proteins. This is consistent with the data in Fig. 1C, where unfolding is not detectable for any protein at 37 or 42 °C under reducing conditions. However, when the solution redox potential is oxidizing, the mutants display slightly but reproducibly red-shifted spectra (Fig. 3, A and B), in contrast with the WT protein (Fig. 3C). We attribute this change to increased solvent exposure of at least one Trp residue in the mutant proteins, most likely Trp68, because that is the only Trp residue in the destabilized N-terminal domain of these mutants. This spectral change was observed over the course of 60 min; no red shift was observed when oxidizing agent was omitted (Fig. 3D). Thus, aggregation of these mutant proteins correlates with a conformational change stabilized by oxidation.

FIGURE 3.

FIGURE 3.

Oxidation causes conformational change in W42Q and W42R. A–C, 4 μm W42Q (A), W42R (B), and WT (C) proteins were incubated for 60 min at 37 or 42 °C and OxD = 0. 14 or 0.39. The protein concentration is below the aggregation range (∼10% of that in Fig. 1). Fluorescence traces of the mutant proteins, but not the WT, show a red shift, indicating conformational change, particularly at higher temperature and oxidation. D, heating these samples at the same temperatures in the absence of oxidizing agent did not result in any peak shift.

Simulation of Oxidative Misfolding Reveals Characteristic Early Intermediates

Single chain simulations showed that cataract-associated mutations in the N-terminal domain destabilize the N-terminal domain (Fig. 4A), whereas the oxidation-mimicking mutation W130E in the C-terminal domain destabilizes the C-terminal domain relative to WT (Fig. 4B). In particular, W42Q and W42R both led to destabilization of the N-terminal domain, with very similar apparent melting curves, consistent with the experiments (Fig. 1C). Even in the WT protein, the N-terminal domain was less stable than the C-terminal domain, also consistent with past experimental results (18, 50, 51) and simulations (52). Also consistent with the experiments, the W130E mutation largely eliminated the differential domain stability, thus leading to a more cooperative unfolding transition (45). Partially unfolded structures from W42R simulations at intermediate temperature show that separation of the two N-terminal Greek keys and detachment of the N-terminal hairpin are early events in the unfolding process (Fig. 3C). As we discuss below, the flexibility of the loop connecting the detached hairpin to the rest of the domain core may allow Cys residues that are distant in the native structure to come together and form a disulfide bond.

FIGURE 4.

FIGURE 4.

RMSD from native structure for N- and C-terminal domains. RMSD was averaged over 50 simulations at step 60,000,000. The gray line shows the midpoint of the sigmoidal fit to the WT curve. A, N-terminal domain. B, C-terminal domain. C, representative W42R structures populated at T = 0.800 with N-terminal domains in blue and C-terminal domains in red. Cys32 and Cys41 are shown as space-filling models.

Of 300 independently simulated unfolding pathways, five were remarkable in that the N-terminal hairpin, having detached from its native position, annealed to another β-sheet on the molecule, extending it. The final states of three of these runs are shown in Fig. 5A, and the other two are shown in Fig. 5B. In both cases, the observed internal topological rearrangements suggest possible binding sites for aggregate propagation.

FIGURE 5.

FIGURE 5.

Examples of internally rearranged W42R structures. The N-terminal domain is blue; the C-terminal domain is red. A, rearrangement to enable binding of strand 1 to strand 8 within the N-terminal domain. B, rearrangement to enable binding of strand 1 to strand 14. Structures at simulated T = 0.8. Cys32 and Cys41 are shown as space-filling models.

Two-chain Tethered Simulations Predict Internal Disulfide Structures Prone to Extensive Intermolecular Interactions

Whole-protein mass spectrometry experiments (39) revealed that most monomers within the aggregated fraction contain only one disulfide bond. HγD contains six Cys residues (Fig. 1A), so we set out to determine whether a particular internal disulfide is most likely to generate intermolecular interactions that could lead to a polymeric state. This was accomplished by simulating two identical mutant chains tethered by a flexible (Gly-Ser)6 linker. Disulfide bonding was simulated by placing a spring potential between pairs of thiols, leading to a preferred 2-Å final sulfur-sulfur distance. In all cases, the simulated internal disulfides formed prior to the intermolecular interactions (Fig. 6A). Protein-protein interactions were found in a relatively small fraction of simulation frames for WT and mutant proteins, including W42R with internal disulfide bonds (Fig. 6B). Interestingly, disulfides between cysteine residues that are adjacent in sequence led to a greater number of protein-protein interactions than disulfides between non-adjacent cysteines (Fig. 6B), consistent with previous work on lattice proteins (53). The type of interaction (Fig. 6, C–G) depended on the particular mutant and disulfide bond formed. In particular, disulfide bonding between the second and third cysteines in the N-terminal domain led to the greatest number of intermolecular antiparallel β-sheet interactions. Therefore, this disulfide bond, between residues Cys32 and Cys41, was predicted as the likeliest to generate redox-sensitive aggregates.

FIGURE 6.

FIGURE 6.

Protein-protein interactions from two-molecule simulations of γD crystallin and predicted structure of aggregates. A, initial simulation structure and final frame from a simulation trajectory, showing the N-terminal hairpin of one molecule binding to the folded C-terminal domain of the other molecule via interactions between strand 1 of the first molecule and the second strand of the C-terminal Greek key of the second molecule. B, the percentage of simulation frames showing protein-protein interactions (PPI), averaged over 300 trajectories. C–G, representative classes of interacting structures. C, a native-like interaction, typical of the 1–4 disulfide. D, a parallel strand 1-strand 1 interaction, typical of the 1–2 disulfide. E, an antiparallel strand 1-strand 1 interaction, common for 1–2 and 2–3 disulfide. F, an antiparallel strand 1-strand 14 interaction, typical of the 2–3 disulfide. G, a representative structure from the “Other” category. N-terminal domains are blue; C-terminal domains are red. The simulated flexible linker between the two protein molecules is in yellow.

LC/MS and Mutagenesis Identify Cys32–Cys41 as the Predominant Disulfide Cross-link Responsible for Aggregation

We mapped the predominant disulfide in W42Q aggregates produced by mild oxidation (OxD = 0.2) using mass spectrometry. When samples were digested under non-reducing conditions, two new peaks appeared in the HPLC traces of the aggregated sample relative to the stock control (Fig. 7A). The identities of select HPLC peaks were assigned by electrospray mass spectrometry, where disulfide-containing peptides are distinguished by a −2-Da mass shift. These experiments revealed Cys32–Cys41 as the likely cross-link, which is in agreement with both our computational results and the most recent lens proteomic data (44). To detect the disulfide directly, we carried out tryptic digestion without a reduction step, as reported previously (54). A drawback of this approach is increased likelihood of missed tryptic cuts, as well as chymotryptic cleavages. However, these features also offered the advantage of multiple independent detections of disulfide-bonded peaks within the same experiment. Furthermore, tryptic digestion is known to be particularly inefficient within tight secondary structures such as β-turns. Accordingly, most of the digested samples had a missed cleavage between the bonded Cys residues, at Arg36. Digestion efficiency at this position was also higher in the absence of the disulfide bond (Fig. 7A). Because missed cleavage at Arg36 makes Cys32 and Cys41 part of the same peptide, we were able to conclude that the disulfide identified here is, in fact, internal, rather than intermolecular. Because size-exclusion traces of the OxD = 0.2 supernatant did not reveal any dimers, we conclude that intermolecular disulfides were unlikely to form under these conditions.

FIGURE 7.

FIGURE 7.

Cys32–Cys41 is the predominant internal disulfide enabling W42Q aggregation. A, HPLC traces of aggregated (OxD = 0.2) and control (non-oxidized) W42Q samples following trypsin digestion under non-reducing conditions. Assignments for selected peaks, using electrospray mass spectrometry, are shown at the right. B–D, oxidative aggregation of W42Q is highly temperature-dependent in assays carried out as in Fig. 1. E, Cys mutations in the W42Q N-terminal domain alter its thermostability. Fitting for the W42Q DSC unfolding shown in red (dashed line) from Fig. 1C is shown for comparison. F and G, temperatures for the OxD aggregation assays on the C18A/W42Q (F) and C32V/W42Q (G) constructs were chosen to control for the differential thermostability. The former mutant aggregates already at 32 °C, whereas the latter does not do so even at 42 °C.

Thus, the predominant disulfide was identified in W42Q. Unfortunately, disulfides in W42R could not be mapped by LC/MS in the same way because the mutation introduces an additional tryptic cut site, resulting in short, hydrophilic peptides that could not be easily separated by HPLC. However, given the previous results, we felt it was fair to assume that the two mutations are essentially interchangeable and have treated them as such in interpreting this study.

We further confirmed the disulfide mapping results using mutagenesis. Cys residues were mutated in the background of W42Q. In this background, Ala substitutions at Cys41 or Cys78 did not yield soluble protein, likely due to excessive loss of stability of the already destabilized mutant N-terminal domain. The C18A/W42Q double mutant could be purified, albeit with reduced yield. The C32A/W42Q construct's yield was impracticably low, so we resorted instead to a Val substitution, which is present at this position in many related crystallin sequences. These two mutants are predicted to have divergent aggregation phenotypes: C18A/W42Q is predicted to retain its ability to aggregate by the pathway we have proposed, whereas C32V/W42Q is expected to lack this ability.

Oxidative aggregation was found to be highly temperature-dependent, consistent with a requirement of conformational change (39, 45). Thus, W42Q showed no aggregation at 32 °C even under the most oxidizing conditions employed; oxidation-dependent aggregation at 37 °C; and strong aggregation even at low OxD values at 42 °C (Fig. 7, B–D). As shown in Fig. 7E, the C32V/W42Q double mutant is ∼5.6 °C more stable than W42Q, whereas C18A/W42Q is ∼2.9 °C less stable. To control for the effect of thermostability, we carried out oxidative aggregation assays at 32 °C for C18A/W42Q and 42 °C for C32V/W42Q. In contrast to W42Q, C18A/W42Q aggregated in an oxidation-dependent manner already at 32 °C, whereas C32V/W42Q showed no aggregation even at 42 °C (Fig. 6, F and G).

Molecules with Cys32–Cys41 Internal Disulfide Are Predicted to Aggregate by β-Sheet Completion

Having established experimentally by LC/MS, and confirmed by mutagenesis, that the Cys32–Cys41 internal disulfide was indeed required for aggregation, we carried out a more detailed analysis of two-chain simulations involving this disulfide bond. The observed parallel and antiparallel interactions were classified based on which β-strands were in contact. Most of these interactions were between strand 1 and strand 14, or between the first strands of the two proteins (Fig. 8; see also Fig. 6, E and F). In the former case, the interaction could be perpetuated, as the N-terminal hairpin of each protein binds to the folded or mostly folded domain of the next protein, extending a β-sheet that is formed in the native structure (model in Fig. 9).

FIGURE 8.

FIGURE 8.

Strand-strand contact maps from tethered two-chain W42R simulations involving the 2–3 disulfide. A, the most commonly interacting β-strands are strand 1 and the two strands most involved in the domain interface (highlighted in yellow). The N-terminal domain is blue; the C-terminal domain is red. B, combined contact maps for all simulations showing frequency of pairwise non-native strand-strand interactions.

FIGURE 9.

FIGURE 9.

A graphical model of aggregation by β-sheet completion between strand 1, in the N-terminal β-hairpin extruded due to formation of the Cys32–Cys41 internal disulfide bridge, and strand 14 in the C-terminal domain.

Discussion

Age-onset cataract is a highly prevalent disease as well as a case study in protein aging. Its pathology has multiple contributing factors, including exposure to UV light, tobacco, and certain specific chemicals. However, the effect is generally the same: aggregation of the eye lens crystallins (5, 13, 16, 17, 55, 56). In line with the multiple causality of the disease, several distinct biochemical perturbations in vitro have been shown to cause crystallin aggregation (49, 5759). Cataract-associated point mutations, especially ones mimicking in vivo chemical modifications, have been highly useful in dissecting the mechanism of aggregation (21, 39, 46) and developing interventions to modify it (60). Synergistic effects are likely among the various modes of modification or damage. Thus, our combined computational and experimental results suggest a link between Trp oxidation, often the result of UV exposure, and disulfide bonding, a marker of more general oxidative stress in the aging lens.

Our all-atom Monte Carlo program has been used to successfully predict folded states and relative mutant stabilities of single proteins in previous publications (61, 62). Here, we used the program to simulate interactions between two proteins by connecting them by a flexible linker. Such an approach is commonly used in experimental single-molecule pulling studies, including of HγD (63), and has been used in the past to computationally study protein-protein interactions (64, 65). Unlike the approach introduced by Dima and Thirumalai (66), we did not constrain the distance between proteins' centers of mass; however, both approaches can in principle be used to simulate protein concentration. Although we are currently developing a version of the Monte Carlo program with multiple freely diffusing chains, the peptide linker approach is a straightforward way to adapt a program designed for single chain simulations to study of the initial steps in protein aggregation. In fact, the approach yields reasonable results: the strands most often involved in protein-protein interaction are protected in the native structure but become exposed early in single-chain simulations. We expect that peptide-based drugs targeting these strands may slow or prevent aggregation of γ-crystallin molecules.

Using molecular dynamics simulations with subsequent annealing of two γ-crystallin molecules, Das et al. (67) found interactions between the unfolded N-terminal domain and strands 13–15. Similar regions interact in our simulations, but the interactions are more specific. Thus, we observe β-sheet completion, involving hydrogen bonding between β-strands. The speed of our program relative to conventional molecular dynamics techniques allows for a greater sampling of configurational space necessary to obtain such structures, as well as obviates the need to simulate under highly denaturing conditions (such as the 8 m urea used by Das et al. (67)). We propose that aggregation proceeds from oligomerization in which the N-terminal hairpin binds to an exposed region of the C-terminal domain. Specifically, the N-terminal hairpin detaches from the N-terminal domain, and strand 1 forms antiparallel hydrogen-bonding interactions with strand 14. Although such a structure remains to be experimentally validated, it is consistent with the lower folding stability of the N-terminal domain relative to the C-terminal domain and the observation that many cataract-associated mutations in γ-crystallins cluster in or near the N-terminal hairpin (20). It also agrees with the recent report that the N-terminal β-hairpin is involved in domain swapping in HγD polyproteins under mechanical force (63).

That internal disulfide bonds stabilize specific partially unfolded states in HγD was not appreciated until recently (39). Although our statistical potential does not fully account for the distinct chemical properties (e.g. hydrophobicity) of disulfides and thiols, we have incorporated the geometric constraints on folding that result from disulfide formation. We found that disulfides between cysteines close together in sequence, particularly Cys32 and Cys41, stabilized a partially unfolded intermediate state prone to specific intermolecular interactions. It is worth noting that disulfide bonding is critical to the aggregation pathways of other well known disease-related proteins, including superoxide dismutase 1 and β2-microglobulin (34, 35, 37, 38). Conversely, disulfide engineering has been used to trap important folding intermediates in a variety of proteins (68). More generally, covalent linkage of residues that are nearby in the primary structure is known to promote misfolding and polymerization. This has been shown both in theoretical lattice models of proteins (53) and, for instance, in experimental (69) and computational (70) studies of the aggregation of Aβ1–40 with the Asp23–Lys28 lactam bridge.

Surprisingly, among the possible disulfides in HγD, our study pointed to one in particular, Cys32–Cys41, as most likely to stabilize the aggregation precursor. Our results agree with a recent proteomic study linking the oxidation state of Cys32 and Cys41 in γD-crystallin to cataractous aggregation in human lens (44). Thus, it may be possible to reconstitute the in vivo cataractogenic biochemical pathway both in vitro and in silico to reveal structures of transient intermediates and specific misfolded states en route to “amorphous” aggregation. It is noteworthy that oxidation of Cys41 to a disulfide is one of the strongest correlates of human (but not murine) cataract development identified by Monnier and colleagues (44), and that it is found in both γD-crystallin and γC-crystallin. However, it has been unclear in the proteomic studies whether such disulfides are intra- or intermolecular. The aggregation in our in vitro assays is due to an internal bond, because both Cys residues are part of the same disulfide-containing peptide (Fig. 7A). Studying aggregates by high-resolution structural techniques in vitro is very challenging, leading to a paucity of atomic-level mechanistic detail. Simulated structures based on the Cys32–Cys41 bridge provide a possible molecular mechanism for misfolding and polymerization into light-scattering aggregates (Fig. 9).

The aggregation model proposed in Fig. 9 shares many features with classical domain swapping, as proposed by the Eisenberg group (71), yet the polymers do not reconstitute the native state of the monomeric protein. Horwich (1) pointed out the possibility that domain swapping may reconstitute not the native state, but a partially unfolded or misfolded state that is at least kinetically stable. Because we have observed intramolecular strand 1-strand 14 binding in single-chain simulations (Fig. 5), this may be an example of such a mechanism. Stability of the internally rearranged monomer depends on the length and flexibility of the linker connecting it to the rest of the domain core. Our simulations have shown that this linker is sufficiently long and flexible in the absence of a disulfide bond. Shortening or straining a linker between two structural elements is the most common way to generate classical domain swapping (72, 73). Formation of the Cys32–Cys41 disulfide, which we find to be required for polymerization, creates a loop within this linker sequence and may thus accomplish both. Reducing this disulfide bond is expected to make the monomeric state favorable again, consistent with our observation that the addition of reducing agent can reverse the aggregation process (39).

We note that the internal rearrangement to form a “cyclic” monomer is expected to compete with the aggregation process, yet it is also likely to facilitate formation of the internal disulfide bond needed for aggregation. A potentially better way to inhibit aggregation would be to block the binding edge of strand 14 with a peptide or small-molecule inhibitor that would compete with the N-terminal β-hairpin. One biological precedent for protein/peptide binding via β-sheet completion is found in the binding of PDZ domains to their ligands (74). Finally, a major challenge for inhibition of classical domain-swapping reactions is that any intervention to stabilize the native state is likely to also stabilize the polymer. If a partially misfolded state is the origin of the swapping, however, then inhibitors can be targeted to a specific part of the native structure.

The primary model of protein-protein interactions suggested by our simulations extends the self-recognition and domain-swapping paradigms currently associated with protein aggregation. Misfolding simulations of multidomain proteins such as titin suggest a role for domain-swapping and/or self-similar amyloid-like interactions in misfolding and aggregation (75, 76), and these studies have now been extended to HγD (63). In our predicted oligomerizing structure, strand 14 is sandwiched between two homologous β-strands, one belonging to the native structure (strand 13) and the other belonging to another domain or protein (strand 1). Thus, the non-native extended β-sheet structure is formed via native-like interactions that are not actually present in the native structure but that mimic native contacts on the other side of the β-strand. It will be interesting to see whether such “native-like” interactions between regions homologous to natively interacting ones are found in other aggregating proteins.

Experimental Procedures

Protein Expression and Purification

All proteins were expressed and purified as described (39). Briefly, BL21-RIL Escherichia coli (Agilent) were transformed with pET16b plasmids containing the relevant cDNAs under the T7 promoter with no epitope tags. Cells were induced at 18 °C overnight. Cell pellets were stored at −80 °C. Ammonium sulfate was added slowly to cleared cell lysate to ∼30% to precipitate less soluble contaminants, and then crystallins were precipitated by increasing ammonium sulfate concentration to ∼50%. The pelleted proteins were washed and further purified by size-exclusion chromatography. Purity was >95% by SDS-PAGE. Typical yields for the W42Q and W42R mutants were 30–40 mg/liter cell culture in Super Broth, 10–15 mg/liter for C18A/W42Q, and 50–70 mg/liter for C32V/W42Q and WT proteins.

Differential Scanning Calorimetry

Thermal denaturation of WT and mutant proteins was carried out by differential scanning calorimetry (Nano DSC, TA Instruments) using 0.3 or 0.6 mg of protein. Prior to the experiment, proteins were reduced with TCEP for 1–2 h at room temperature, and then dialyzed three times against DSC buffer (10 mm sodium phosphate, 50 mm NaCl, pH 7). TCEP to a final concentration of 0.5 mm was added to the samples immediately prior to DSC. The buffer from the dialysis reservoir was used as reference for the DSC experiments. The samples were heated from 25 to 90 °C at a scan rate of 1 °C/h. Thermodynamic parameters were derived by fitting the data to a sum of two 2-state unfolding models, one for each domain, using NanoAnalyze (TA Instruments).

Aggregation Assays

Aggregation of purified samples was induced by shifting to 37 °C or as indicated in sample buffer (10 mm ammonium acetate, 50 mm NaCl, pH 7) with 1 mm EDTA. Turbidity was monitored using a FLUOstar Optima plate reader (BMG Labtech) and polypropylene 96-well plates (Greiner) in 200-μl volume with no agitation. In the case of Figs. 1B and 2, the measurements were performed in a quartz cuvette in a spectrophotometer. Oxidation-dependent aggregation experiments were performed in the same way but with a controlled degree of oxidation. Purified protein samples were reduced by incubation with 0.5 mm TCEP for 30–60 min at room temperature with gentle agitation. The reducing agent was removed by 2–3 rounds of dialysis against 4 liters of sample buffer, one of which was overnight. Degree of oxidation (OxD) was set using mixtures of reduced and oxidized glutathione (GSH and GSSG) at a total concentration of 2 mm (counting GSSG as two molecules), according to the formula

graphic file with name zbc03616-5128-m01.jpg
Fluorescence

Protein samples (4 μm, in 10 mm ammonium acetate buffer, 50 mm NaCl, 1 mm EDTA, pH 7) were equilibrated in heated cuvettes at the indicated temperatures for 10 min prior to the experiment. Intrinsic tryptophan fluorescence spectra were obtained using a Cary Eclipse fluorimeter (Varian) with excitation at 280 nm and emission scanned between 300 and 400 nm to make sure the signal reached baseline by 400 nm.

Monte Carlo Unfolding Simulations

All-atom (non-hydrogen) Monte Carlo simulations were performed using a program described in previous publications, developed by the Shakhnovich group (61, 62, 77, 78). The program incorporates a knowledge-based potential, with terms for contact energy, hydrogen-bonding, torsional angle, and side-chain torsional terms, as well as a term describing relative orientations of aromatic residues. The move set consists of rotations about backbone and side-chain torsional angles, with bonds and angles held fixed. Software for the Monte Carlo Protein Unfolding (MCPU) program is available on the Shakhnovich group website.

Human γD crystallin (Protein Data Bank (PDB) ID 1HK0) was used as the initial structure in simulations. Mutations (W42Q, W42R, T4P, and W130E) were introduced using PyMOL. For WT and each mutant, an initial simulation was run at low temperature (T = 0.150 in simulation units) for 2,000,000 steps. Starting from the final structure of this simulation, a 60,000,000-step simulation was run, for each of 32 temperatures, ranging from T = 0.1–3.2. The final frame was extracted from each of 50 separate runs, and the average RMSD from the native structure was calculated for the N-terminal and C-terminal domains separately. Curves representing the dependence of RMSD from the native structure on temperature were fit to a sigmoidal function; because the domains were fitted separately, the sigmoid corresponded to a two-state model of unfolding. Representative structures were obtained for W42R by clustering contact maps (residue-residue α-carbon distance less than 10 Å) for final simulation frames, using the MATLAB clusterdata function with a cutoff of 0.9. Images were generated for representative structures from the two most populated clusters. A further 300 simulations at T = 0.8 were then conducted.

Two-chain Tethered Unfolding Simulations

Two-molecule single chain simulations were carried out for two γ-crystallin molecules connected by a 12-residue linker. The amino acid sequence of the linker was GSGSGSGSGSGS, and the initial structure is shown in Fig. 5A. Each simulation was 80,000,000 Monte Carlo steps in length. 300 simulations were run for each of WT, W42R, and W42Q. In addition, simulations were run with a harmonic constraint applied to each pair of disulfides within the N-terminal domain, holding sulfur atoms of the cysteine residues ∼2 Å apart. The same potential maintained the disulfide once formed. Cys-Cys angles were neglected for these simulations, unless disallowed by steric effects.

Simulations were mined for protein-protein interactions every 5,000,000 frames. Residues were said to be in contact if their α-carbons were within 10 Å of each other. A protein-protein interaction was counted when more than 50 pairwise residue-residue contacts were detected between proteins. An interaction was said to be an antiparallel β-strand interaction if it included more than six residues in a row in an antiparallel configuration. An interaction was said to be a parallel β-strand interaction if the interaction included more than six residues in a row in a parallel configuration. The interaction was said to be native-like if greater than 10 of the interactions were present between domains of the native structure (see, for instance, Fig. 5C). For parallel and antiparallel β-strand interactions, the β-strands involved in the interaction were recorded, according to the numbering system in Fig. 7.

Disulfide Mapping

The predominant disulfide bond was mapped in W42Q aggregates produced upon incubation at 37 °C and OxD = 0.2 for ∼2 h in sample buffer with 1 mm EDTA. Aggregates were pelleted by centrifugation of the turbid mixture at 14,500 × g for 5–10 min. The pelleted fraction was washed three times with sample buffer, and then resuspended in 0.1 m MES buffer, pH 5.5. The resuspended sample was kept at 37 °C for 20–30 min to allow dissociation of weakly bound protein, leaving stable aggregates. These aggregates were solubilized by the addition of guanidine hydrochloride to a final concentration of 4 m and denatured by incubating at 37 °C for 3 h, at pH 5 and in the presence of 1 mm EDTA. The low pH and chelator were used to inhibit Cys oxidation and disulfide scrambling during denaturation. Denatured samples were refolded by gradual dilution of the guanidine-containing buffer with dilution buffer (0.1 m MES, pH 5.5, 1 mm EDTA) at the rate of 25% dilution every 15 min. Once [guanidine] had been brought down to 2.6 m, samples were centrifuged and concentration was determined by NanoDrop (Thermo Scientific). Dilution buffer was then added to reduce [guanidine] to 2.0 m, and then l-1-tosylamido-2-phenylethyl chloromethyl ketone (TPCK)-treated bovine trypsin (Sigma-Aldrich) was added at the ratio of 1:20 w/w. Dilution continued until [guanidine] fell to 1.0 m. Samples were centrifuged again, and concentration was determined, and additional trypsin was added to bring the total trypsin:protein ratio to 1:10. Samples were then incubated for 12–16 h at 37 °C to allow digestion. Afterward, digests were centrifuged to remove any precipitated material, and trypsin was activity quenched by the addition of trifluoroacetic acid to 0.3% v/v final concentration. The high trypsin:protein ratio was necessitated by the partly denaturing, non-reduced digestion conditions. Stock (pre-reduced) W42Q sample was used as a control for the denaturation and digestion steps to check for adventitious disulfides that might arise during sample handling. We used W42Q in preference to W42R to facilitate isolation of Cys41-containing peptides from the tryptic digests.

Tryptic digests were separated on a 5-μm, 250 × 4.6-mm C18 column (Higgins Analytics) on an Agilent 1200 HPLC instrument using a 36-min 5–60% gradient of acetonitrile with 0.1% trifluoroacetic acid. Absorbance at 280 nm was monitored to enable quantitative comparisons of peak intensity independent of their ionization efficiency. Peaks of interest were collected manually and identified separately by brief HPLC over a 2.7-μm C18 column (Agilent) coupled to an Agilent 6230 electrospray ionization mass spectrometer. Multiply charged states were identified and deconvoluted manually.

Author Contributions

E. S., J. C. W., J. A. K., and E. I. S. designed the research; J. C. W. carried out the computational modeling; E. S. carried out the aggregation and mutagenesis experiments; E. S. and B. V. A. carried out calorimetry and fluorescence experiments; E. S. and M. S. carried out LC/MS experiments; E. S. and J. C. W. wrote the manuscript; B. V. A., M. S., J. A. K., and E. I. S. edited the manuscript; J. A. K. and E. I. S. supervised the research. All authors reviewed the results and approved the final version of the manuscript.

Acknowledgments

We are grateful to Prof. Elizabeth Nolan (Massachusetts Institute of Technology) for advice on experimental design; to Cameron Haase-Pettingell for protein expression; to Phoom Chairatana and Lisa S. Cunden for training on HPLC and electrospray ionization-mass spectrometry (ESI-MS); and to Dr. Catherine Goodman for editorial suggestions.

*

This work was supported by National Institutes of Health Grant R01 GM111955 (to E. I. S.); a National Institutes of Health Biophysics Training Grant (to J. C. W.); National Institutes of Health Grant R01 EY015834 (to J. A. K.); and fellowships from MIT Biology and the Whitehead Institute for Biomedical Research (to E. S.) The authors declare that they have no conflicts of interest with the contents of this article. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

4
The abbreviations used are:
HγD
human γD-crystallin
DSC
differential scanning calorimetry
OxD
oxidation degree
TCEP
tris(2-carboxyethyl)phosphine
RMSD
root mean square deviation.

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