Abstract
NMR studies and X-ray crystallography have shown that the structures of the 99-residue amyloidogenic protein β2-microglobulin (β2m) and its more aggregation-prone variant, D76N, are indistinguishable, and hence, the reason for the striking difference in their aggregation propensities remains elusive. Here, we have employed two protein footprinting methods, hydrogen–deuterium exchange (HDX) and fast photochemical oxidation of proteins (FPOP), in conjunction with ion mobility-mass spectrometry, to probe the differences in conformational dynamics of the two proteins. Using HDX-MS, a clear difference in HDX protection is observed between these two proteins in the E-F loop (residues 70–77) which contains the D76N substitution, with a significantly higher deuterium uptake being observed in the variant protein. Conversely, following FPOP-MS only minimal differences in the level of oxidation between the two proteins are observed in the E–F loop region, suggesting only modest side-chain movements in that area. Together the HDX-MS and FPOP-MS data suggest that a tangible perturbation to the hydrogen-bonding network in the E–F loop has taken place in the D76N variant and furthermore illustrate the benefit of using multiple complementary footprinting methods to address subtle, but possibly biologically important, differences between highly similar proteins.
Keywords: β2m, HDX, FPOP, amyloid, D76N, protein conformation, structural mass spectrometry
Introduction
The study of protein structure and dynamics is essential to the development of effective therapeutics targeted against illnesses associated with protein misfolding and aggregation, a category which includes prominent amyloid diseases such as Alzheimer’s, Parkinson’s, and type 2 diabetes mellitus.1,2 Protein footprinting coupled with mass spectrometry has become an increasingly useful strategy for the analysis of protein structure and dynamics3,4 particularly for larger proteins or more heterogeneous samples typically not amenable to high-resolution structural techniques such as NMR, X-ray crystallography, or cryo-EM.
Two protein footprinting methods frequently used in conjunction with mass spectrometry are hydrogen–deuterium exchange (HDX)5 and fast photochemical oxidation of proteins (FPOP).6 In a typical HDX-MS experiment, the protein analyte is incubated for varying lengths of time in a deuterated buffer solution, conditions under which solvent-accessible and labile hydrogen atoms on the protein (i.e., O–H, N–H, and S–H groups not involved in hydrogen bonds7) exchange, over time, with the deuterium in the buffer, increasing the mass of these regions of the protein molecule. The HDX reaction is quenched at low temperature and pH to minimize further forward exchange, as well as any back exchange, before the protein analyte is digested, typically with acid proteases (usually pepsin8) and the resulting peptides subjected to LC–MS/MS analysis. Mass increases are quantified using a weighted average mass of the peptide isotope distribution, often presented as an “uptake plot” for each peptide, showing mass increase relative to the undeuterated peptide, versus time.8 These data can be compared between different proteins or between different states of the same protein (e.g., with and without a ligand) to identify regions of differential deuterium uptake and thus likely regions of structural/dynamical changes in the protein. Although rapid back exchange usually limits HDX to the study of backbone amide hydrogens,9 this method has proved to be a key tool in the field of structural MS to study protein conformational changes as well as protein–protein and protein–ligand interactions.5,7
FPOP is a complementary footprinting method to HDX, in which hydroxyl radicals liberated from UV flash photolysis of hydrogen peroxide are used to covalently label solvent accessible amino acid side chains resulting in a variety of oxidative mass additions.10,11 The oxidized sample is typically proteolyzed and subjected to LC–MS/MS analysis, whereby the resulting amino acid modifications, most commonly +16 Da mass additions (overall addition of an oxygen atom) although many others are possible (e.g., + 32 Da (addition of two oxygen atoms) and +14 Da (methylene to carbonyl conversion)),12 can be readily identified at residue level resolution.8,13 These data are quantified using a label-free, area-under-the-curve integration strategy comparing the LC chromatograms of the unmodified and modified versions of each peptide to determine a percentage of modification for each oxidized species.8,13−15 Similar to HDX, these data can be compared between protein states, where changes in the extent of modification between states are indicative of changes in protein structure or dynamics. Despite being a relatively new addition to the structural MS toolbox, FPOP has occupied a useful niche in the covalent footprinting analysis of proteins and has thus far shown promise for a wide variety of analytes including membrane proteins,16−18 biopharmaceuticals,14,19−22 and even in vivo protein structural analysis.23
FPOP and HDX exhibit several characteristics which make them valuable companions when used as complementary methods. For example, FPOP labeling is generally considered to occur on the microsecond–millisecond time scale24,25 (depending on solution conditions26), whereas HDX more commonly labels on the seconds–hours time scale,8 although millisecond labeling times can be achieved using rapid mixing strategies.27,28 Owing to the covalent nature of the FPOP label, residue level resolution can be readily achieved using standard ergodic MS/MS fragmentation techniques, such as collision-induced dissociation (CID), without the concern of label scrambling. However, due to the significant differences in the reactivity of different amino acids to hydroxyl radical labeling, and subsequent peptide signal depletion from each new oxidized species, FPOP data are often sparse, frequently only providing data on approximately one in five residues.8,29 This is in contrast to HDX experiments, where high sequence coverages are common, but peptide level resolution is the normative level of analysis, owing to the challenges surrounding minimizing deuterium scrambling for residue level quantification, including the necessary use of nonergodic fragmentation methods such as electron transfer dissociation (ETD).30 As a result, the balanced shortfalls and advantages of both HDX and FPOP make these two approaches complementary for the analysis of protein structure and dynamics and have been used in combination for an increasingly wide variety of studies including conformational analysis of amyloidogenic proteins,8 peptide therapeutics,31 Fc binding interactions,32 and numerous epitope mapping studies.14,20−22
Here, we utilize FPOP-MS and HDX-MS, as well as native IMS-MS, to compare wild-type β2-microglobulin (β2m), a small, 99 residue immunoglobulin (Ig) domain protein, with its highly aggregation-prone variant D76N, which has an Asp-Asn substitution at position 76.33 Wild-type β2m has a typical Ig “β-sandwich” structure consisting of seven antiparallel β-strands organized into two separate β-sheets which are connected by a single disulfide bond (Figure 1). In vivo, β2m forms the light chain component of the major histocompatibility complex (MHC-1).34−36 Aggregation of wild-type β2m into amyloid fibrils localized to the osteoarticular tissues (i.e., bones and joints) occurs in long-term hemodialysis patients with elevated levels of the protein in a condition known as dialysis-related amyloidosis (DRA).37,38 Although a precise mechanism of in vivo β2m aggregation in DRA is yet to be elucidated, β2m amyloidogenesis is believed to occur via a highly aggregation-prone folding intermediate known as the IT state, containing a non-native trans peptide bond between residues His31 and Pro3239 which is thought to aggregate on the collagen surfaces in the joints.40,41
First reported in 2012, D76N is a naturally occurring, highly aggregation-prone variant of β2m with the Asp-Asn substitution at position 76 situated within the loop region linking the E and F β-strands of the protein (Figure 1).33 In a distinct disease pathology to that of wild-type β2m amyloidosis in DRA, individuals heterozygous for the genetic mutation causing D76N showed systemic amyloidosis which was not localized to the bones and joints but rather to the internal organs in which the amyloid deposits contain only the D76N variant.33 Importantly, and in contrast to the wild-type protein, the D76N variant is observed to be highly amyloidogenic in vitro at neutral pH in the absence of accessory molecules, conditions under which the wild-type protein does not form amyloid.43,44 Mutagenesis studies have shown that no other D–N amino acid substitution in β2m yields any notable increase in aggregation propensity,43 whereas several D76 substitutions (D76H, D76E, and D76A) do increase the propensity of the protein to form amyloid under the same experimental conditions as D76N,45 indicating that the position, rather than the specific nature of the amino acid substitution, is the important factor in mediating aggregation propensity.
Surprisingly, despite the stark increase in its aggregation propensity, the D76N variant has thus far proven to be strikingly similar to the wild-type protein using a variety of structural and biophysical techniques. For example, the crystal structure of D76N, and indeed those of other D76 variants for which crystal structures have been solved,45 are indistinguishable from that of the wild-type protein.45 Additionally, the MHC-1 complex containing D76N has been shown to have a similar structure, dissociation patterns, and stability compared to its wild-type β2m counterpart.46 The folding pathway of the D76N variant was found to be similar to that of the wild-type protein, and although some experiments have suggested that D76N has an increased proportion of the aggregation-prone IT state folding intermediate at equilibrium,47 in line with other aggregation-prone variants of β2m,39,48 subsequent CD and NMR analyses have shown no significant difference to the wild-type β2m.44 Similarly, several in silico studies have suggested that the conformation, rather than the population, of the IT state in D76N is distinct to that of the wild-type protein by comparatively increased disordering of the termini49 or the D-strand.50 Again, however, NMR analysis has shown the conformations of the D76N and wild-type β2m IT state to be similar.44
In the face of these marked structural similarities, we utilize structural mass spectrometry, in the form of HDX-MS, FPOP-MS, and native IMS-MS, to compare the structure and dynamic properties of wild-type and D76N β2m and to determine if these methods can reveal differences between the two proteins which may rationalize the radical increase in aggregation propensity of the D76N variant.
Methods
Protein Preparation
Protein samples were expressed recombinantly and purified as described previously.51
Native ESI-IMS-MS
Samples prepared for native MS were buffer exchanged twice into 150 mM ammonium acetate (pH 7.4) using 7k MWCO Zeba spin desalting columns (Thermo Scientific, Hemel Hempstead, UK). The final sample was diluted to a concentration of 10 μM, calculated based on the absorbance at 280 nm and the Beer–Lambert law, using an extinction coefficient of 20065 M–1 cm–1 for both wild-type and D76N β2m. Samples were then loaded into borosilicate glass capillaries pulled in-house (Sutter Instrument Company, Novato, CA) and coated with palladium using a sputter coater (Polaron SC7620, Quorum Technologies Ltd., Kent, UK).
Spectra were acquired using a Synapt G1 HDMS (Waters Corp., Wilmslow, UK) in positive ESI mode. MS and IMS settings were as follows: cone voltage: 70 V, backing pressure: 2.1 mbar, T-wave velocity: 300 ms–1, IMS T-wave height: 4–10 V ramp (100% cycle). Data were analyzed using MassLynx v4.1 and Driftscope v3.0 software (Waters Corp., Wilmslow, UK).
FPOP–LC–MS/MS
The experimental setup used in FPOP experiments was as described previously.8,15,16 Immediately prior to UV irradiation (<10 s), 1 μL of 5% v/v H2O2 was added to 100 μL of protein solution containing 10 μM of either wild-type or D76N β2m and 20 mM l-histidine as an amino acid scavenger in 10 mM potassium phosphate pH 6.2 to give a final H2O2 concentration of 0.05% v/v. The sample was then passed at a fixed flow rate of 20 μL min–1 through a fused silica capillary (i.d. 100 μm) and irradiated with UV light (beam width ∼3 mm) using a Compex 50 Pro KrF excimer laser (Coherent Inc., Ely, UK) operating at 248 nm with a firing frequency of 15 Hz and a pulse duration of 20 ns. Laser power was kept constant at 100 mJ. Based on laminar flow modeling of the sample flow through the capillary,52 these experimental parameters are such that >90% of the sample experiences either one or zero UV irradiation events. Further details of these calculations and the experimental setup can be found in ref (53). The outflow from the capillary was collected into an Eppendorf tube containing 20 μL of quench solution (100 mM l-methionine, 1 μM catalase in 10 mM potassium phosphate pH 6.2) and placed immediately on ice. Following UV irradiation and quenching, the single disulfide bond in β2m (and D76N) was reduced by incubation with 10 mM DTT for 1 h at 55 °C, shaking at 500 rpm. The resulting free thiols were alkylated by incubation with 55 mM iodoacetamide for 45 min, 20 °C at 500 rpm in the dark. A 1:50 w/w ratio of chymotrypsin:protein was then added, and the mixture was left for 18 h at 37 °C, shaking at 500 rpm, to digest the samples into peptides. The resulting chymotryptic peptides (1 μL at 0.5 μM peptide concentration) were injected onto a UPLC M-Class Acquity system equipped with a C18 column (75 μm × 150 mm, Waters, Ltd., Wilmslow, UK) and separated by a gradient elution of 1–50% v/v MeCN in H2O, over 60 min at 0.3 μL min–1, where both mobile phases contained 0.1% v/v formic acid (∼pH 2.7). Peptides eluting from the UPLC were analyzed using a Q-Exactive Plus Orbitrap mass spectrometer (ThermoFisher, Bremen, Germany) operating in DDA mode with the following acquisition parameters: TopN = 5, max injection time = 300 ms, dynamic exclusion = 3 s. Experiments were performed in triplicate.
Peptides were identified using PEAKS v8.5 software (Bioinformatics Solution, Inc., Waterloo, ON, Canada). Variable mass additions of +16, + 32, and +14 Da were searched to identify FPOP modifications. MS/MS data were manually curated to identify and assign genuine FPOP oxidations. Data were then quantified manually at the residue level using Xcalibur software (v4.0.27.19, ThermoFisher, Bremen, Germany) by integrating peaks in the extracted ion chromatograms (XICs) of each peptide ion, generated by extracting the m/z of the base peak of each peptide isotope distribution, for each charge state, for the modified and unmodified versions of each peptide using the following equation:
HDX-MS
The HDX-MS setup used was as described previously.8 A 30 μL sample of protein stock solution containing 8 μM of either wild-type or D76N β2m in equilibration buffer (10 mM potassium phosphate, pH 6.2) was added to 135 μL of deuterated buffer (10 mM potassium phosphate, pD 6.2). This was incubated at 4 °C for 30, 60, 120, 1800, or 7200 s before 50 μL of the labeled solution was quenched by dilution into 100 μL of quench buffer (10 mM potassium phosphate, 2 M guanidine HCl, 200 mM tris(2-carboxyethyl)phosphine pH 2.2) at 1 °C, giving a final quench pH ∼ 2.5. A 50 μL sample of quenched sample (∼24 pmol) was passed through an immobilized ethylene-bridged hybrid (BEH) pepsin column (Waters, Ltd., Wilmslow, UK) at 20 °C at a flow rate of 500 μL min–1 before the resulting peptides were trapped using a VanGuard precolumn Acquity UPLC BEH C18 trap column (1.7 μm, 2.1 μm × 5 μm, Waters, Ltd., Wilmslow, UK). After valve switching, the resulting peptic peptides were transferred to a C18 column (75 μm × 150 mm, Waters Ltd., Wilmslow, UK) and separated by gradient elution of 0–40% MeCN (0.1% v/v formic acid) in H2O (0.3% v/v formic acid) over 7 min at 40 μL min–1. Peptides were analyzed using a Synapt G2Si mass spectrometer (Waters, Ltd., Wilmslow, UK) operating in DIA mode. Each time point, including t = 0, was replicated five times.
HDX data were processed using Protein Lynx Global Server (PLGS v3.0.2) and DynamX (v3.0.0) software supplied with the mass spectrometer. Criteria for confidently identified peptides were as follows: min intensity = 1000, min products per amino acid = 0.3, max sequence length = 25, max ppm error = 5, file threshold = 4/5 replicates. To visualize data and generate difference plots and structural heat maps, further data processing was carried out using PAVED v0.9.1,8 which was downloaded for free at https://biologicalsciences.leeds.ac.uk/downloads/download/28/software_download.
Results and Discussion
Analysis of WT β2m and D76N β2m Using Native IMS-MS
Wild-type and D76N β2m were first subjected to native ESI-IMS-MS analysis to determine whether any global structural changes could be observed. Samples of wild-type and D76N β2m were buffer exchanged independently into 150 mM ammonium acetate solution at neutral pH and diluted to a concentration of 10 μM, conditions under which neither protein aggregates in vitro. The resulting spectra are shown in Figure 2a,b for the wild-type protein and the D76N variant, respectively. Figure 2 indicates the mass accuracy is sufficient to highlight the 1 Da difference between the two variants, consistent with the intact, denatured spectra (see the control spectra in Figure 3). The charge-state distributions of the native wild-type β2m and D76N variant are similar, indicating a similar degree of folding under the conditions employed. This is further illustrated by inspection of the IMS data including the collision cross sections (CCSs; Supporting Information Table S1) and analysis of the arrival time distributions of each charge state, an example of which is shown for the 6+ charge state as an inset in each spectrum (Figure 2).
Together, the IMS data indicate the arrival time distributions of wild-type β2m and the D76N variant are highly comparable with similar drift times, peak widths, and relative intensities. These data further illustrate the similar structural characteristics of the wild-type and D76N variants and show that, to the resolution of these IMS experiments, these two proteins are largely indistinguishable.
Probing Conformational Differences Using FPOP–LC–MS
To attain higher resolution structural data on wild-type and D76N β2m, both proteins were subjected to FPOP footprinting monitored by analysis of the intact proteins as well as by proteolysis followed by LC–MS/MS, to assess the extent of oxidative modification at both intact and residue level resolution. Intact, denatured mass spectra for samples subjected to FPOP oxidation, as well as two non-FPOP controls (samples exposed to hydrogen peroxide but not irradiated, and samples not exposed to either hydrogen peroxide or UV irradiation), are shown for wild-type and D76N β2m in Figures 3a,b, respectively. When subjected to FPOP, both proteins show significant modification relative to the control samples, largely in the form of +16 Da mass additions, although minor oxidation is also observed in the laser control samples (i.e., samples exposed to hydrogen peroxide but not UV irradiation) representing the background level of oxidation in the experiment. Similarly, common to the FPOP spectra is a significant decrease in the signal-to-noise ratio relative to that of the non-FPOP control spectra, owing to signal dilution caused by multiple oxidations, as well as a bias toward lower charge states, the latter most likely caused by the oxidation and subsequent resistance to protonation of histidine side-chains (β2m has six histidine residues).13 For both wild-type and D76N β2m, ∼65% of the total protein signal was observed to be oxidized under the conditions employed. However, due to the substantial differences in oxidation propensity of amino acids in FPOP experiments, it has been noted that changes in the degree of oxidation of certain residues can be masked by invariant or opposite-trending oxidation on residues more sensitive to hydroxyl radical labeling (e.g., methionine and tryptophan) making intact, or indeed peptide level, quantification challenging to interpret.54 To probe these data further, oxidized samples were digested with chymotrypsin and the resulting peptides subjected to LC–MS/MS analysis to identify and quantify modifications at the residue level.
Following proteolytic digestion and LC–MS/MS analysis, a total of eight chymotryptic peptides, covering 93% of the β2m sequence, were identified that were present in all FPOP replicates for both proteins and for which oxidized and unoxidized species could be identified reliably (highlighted in green in Figure 4a). Consistent with previous FPOP data from our laboratory on the wild-type protein under similar conditions,8 40 different oxidized products were observed across 19 different amino acid side chains on the protein, all but two of which could be identified to single amino acid resolution. In agreement with previous data, multiple oxidation products were observed for individual Trp, Phe, and Tyr residues, consistent with the expected positional isomeric products resulting from hydroxyl radical attack at different positions on the aromatic rings of these side chains.8 For the laser control samples, LC–MS/MS analysis was able to reliably identify oxidations only on the N- and C-terminal methionine residues (Supporting Information Figure S1), which is not unexpected when taking into account the high solvent exposure and high reactivity of these side chains. Given the absence of the N-terminal methionine residue in the naturally occurring counterparts of these proteins, and the observation that C-terminal methionine oxidation was barely observed on doubly oxidized peptides, owing to the proximity of this residue to a highly reactive tryptophan side chain (Supporting Information Figure S1; Figure 4a), no correction for background oxidation was deemed necessary for these residues. Quantification data for all identified sites in FPOP oxidized samples, for both wild-type and D76N β2m, are shown in Figure 4b and listed in detail in Supporting Information Table S2.
After correcting for the increase in type 1 error associated with multiple comparisons, none of the modified sites observed met the p value threshold for statistical significance (Supporting Information Table S2), again highlighting the strong similarity between the two proteins. Three modified sites did show differences in the extent of modification between wild-type and D76N β2m where p < 0.01, namely: K48, a minor oxidation product of Y78, and one of the W60 oxidation products (Figure 4b). Conformational rearrangement and partial or complete burial of the normally solvent-exposed W60 side chain have been noted in several aggregation-prone variants of β2m,55,56 including the ΔN6 truncation variant,8 the latter which is generally considered to be a structural mimic of the aggregation-prone IT state.42,48 However, although the W60 oxidation product indicating the most significant change in these experiments did show ∼30% relative reduction in oxidation compared with the wild-type protein, implying lower solvent accessibility, the remaining oxidation products of the W60 side chain in D76N are modified to a similar extent to those of the wild-type protein. Together with the observation that the oxidation profile for W60 in D76N is distinct to that observed for the ΔN6 variant in previous FPOP experiments under similar conditions,8 this most likely indicates that the structure of the D76N variant in this region is largely similar to that of the wild-type protein, with only minor conformational changes in this region.
Interestingly, the two other sites which show the most significant (p < 0.01) changes in labeling between the two proteins, K48 (>2-fold increased labeling in D76N) and one (positional isomer) oxidation product of Y78 (∼1.6-fold increased labeling in D76N), are both located on the same side of the β-sandwich structure of the protein, in the vicinity of the D76N substitution site (Figure 5). As both positions show increased labeling relative to the wild-type protein, this may suggest an increased flexibility of this region of the D76N variant relative to that of the wild-type protein. Indeed, closer examination of W95, a residue spatially adjacent to the D76-containing E-F loop (Figure 5), reveals that although none exceeds the threshold for statistical significance, all four oxidation products identified for this residue show a trend of increased labeling in the D76N variant (Figure 4b). However, given that the major oxidation product of Y78, as well as several other oxidation sites nearby (K19, F70, Y67, and W95) show no significant change, the difference observed in the single Y78 positional isomer most likely reflects subtle fluctuations in solvent accessibility. Similarly, changes in peptide primary structure have been noted to modulate the oxidation profiles of residues in hydroxyl radical footprinting experiments57 and, although this effect has not been widely explored in the literature, the possibility that the D–N substitution itself may have an effect on the oxidation of nearby residues must be acknowledged.
However, given the overall similarity between wild-type β2m and the D76N variant observed using NMR, X-ray crystallography, and other techniques,44,45 the small differences observed in side-chain labeling close to the D76N substitution which have been identified in these FPOP experiments could be significant in contributing to its increased amyloidogenicity. To investigate further the structure of this region, wild-type and D76N β2m were next subjected to HDX-MS analysis.
Probing Conformational Differences Using HDX-MS
The wild-type β2m and the D76N variant were next subjected to HDX-MS analysis to determine the effect, if any, of the D76N substitution on the solvent accessibility, stability and hydrogen bonding of backbone amides. Following online pepsin digestion, a total of 51 peptides covering 100% of the β2m sequence were identified (Figure 6a and Supporting Information Table S3) which were present reproducibly (five replicates) from both proteins and which met previously defined identification criteria8 (see the Methods). For the purpose of data analysis, the N-terminal residue of each peptide was discarded due to back-exchange issues,58 leaving two internal residues (in addition to the N-terminal methionine) without data: Y26 and R81. To ensure robust data analysis and simplicity of data presentation, the PAVED (positional averaging for visualizing exchange data) data analysis algorithm8 was used to process and present peptide uptake data. The resulting PAVED difference plot (Figure 6b) shows the change in relative fractional uptake (with wild-type β2m, as the reference state, being set to zero) versus residue number. A clear increase in deuterium uptake is observed in the D76N variant most notably in the E–F loop (residues 70–77) incorporating the D76N substitution (an ∼15% increase in relative fractional uptake, Figure 6c) with smaller increases in deuterium uptake also observed in the nearby A–B loop (residues 12–20, Figure 6d). Indeed, the uptake plots of all seven peptides which cover the D76N substitution site show substantial increases in deuterium uptake in the D76N variant relative to the wild-type protein (examples are shown in Figure 6c; uptake plots of all peptides are supplied in Supporting Information Figure S2). Although the D–N substitution itself increases the intrinsic deuterium exchange rate of this position slightly (approximately 2.5 fold under the conditions employed59,60), this effect is minimal within the context of the peptides’ overall uptake and, after correcting for back exchange, was not found to contribute significantly to the differences observed in uptake behavior between the two variants.53 Hence, the HDX data are strongly suggestive of a significant change in conformational dynamics of the E–F loop and also in the spatially adjacent A–B loop, resulting from the D76N substitution (Figure 6d). Interestingly, the most significant increases in uptake in these regions are observed at the earliest labeling time-points, whereas at longer deuterium incubation times much smaller differences in relative uptake are observed (Figure 6c and Supporting Information Figure S3). This suggests that the most rapidly exchanging amides near the D76N substitution site (the uptake of which constitute the bulk of the added deuterium at shorter incubation times) are the primary contributors to the difference in uptake observed between the two variants. It is also curious to note that, despite the significantly decreased global stability of the D76N variant relative to the wild-type protein,47 the deuterium uptake behavior in most other regions of the two proteins is similar. However, other HDX experiments performed in our laboratories on these two proteins under higher pH conditions do show global increased deuterium uptake at the longer incubation times,53 consistent with the decreased conformational stability of the D76N variant (data not shown). The lack of this observation in the experiments reported here is most likely due to the lower pH conditions employed and consequent decrease in intrinsic deuterium exchange rate.
Furthermore, minor variations in deuterium uptake behavior between the two variants are also observed close to the D-E loop (residues 57–60, Figure 6a), which may support the minor changes in FPOP oxidation observed for W60 in this region (Figure 4b). However, complex deuterium uptake behavior of overlapping peptides in this region makes a straightforward interpretation of the HDX data in this area challenging (Supporting Information Figure S2), and thus, a structural/dynamical difference between the two proteins in the D–E loop cannot be established with certainty from the available data.
As noted in previous reports,45 D76 has been suggested as a critical node in the hydrogen bonding network in the E–F loop, a region observed to be rigid and well-ordered from NMR experiments.42,45 Indeed, polar contacts predicted from the NMR structure of wild-type β2m form numerous hydrogen bonds, including several backbone hydrogen bonds (changes in which are visible to the HDX experiments here) involving D76, T73 and K75 (Figure 7).42 Given the different hydrogen-bonding properties of the aspartic acid and asparagine side chains, it is reasonable to infer that the D76N substitution may cause some disruption to this interaction network, as suggested by others.45,61 Indeed, given the significant increases in deuterium uptake observed in the E–F loop of the D76N variant, the HDX data presented here strongly support this hypothesis, providing the first in vitro solution evidence that the D76N substitution frees or weakens polar interactions in this region. This explanation would also clarify the increases in deuterium uptake in the nearby A–B loop, as the increased flexibility of the E–F loop, brought about by weakened hydrogen bonding interactions, likely impacts the dynamics of this neighboring region also (Figure 7). Furthermore, this reasoning explains the observation of only minor fluctuations in the side-chain FPOP labeling in this region as, while the loss of hydrogen bonding would produce radical differences in deuterium uptake behavior, the subsequent increase in flexibility is not likely to drastically alter the solvent accessibility of side-chains which are already largely exposed to bulk solvent. However, as only 5 of the 20 residues which comprise the A–B and E–F loops label under the FPOP conditions employed, this discrepancy could feasibly be explained by the comparatively sparse data in this region using FPOP. That said, the observation that of the six side chains identified as undergoing FPOP labeling near the D76N substitution (K19, Y67, F70, Y76, K48 in the A–B and E–F loops and W95 close to the C-terminus), Y76, K48, and W95 all show oxidation products with a trend of increasing oxidation in the D76N variant, a plausible outcome of the likely increased average solvent accessibility from amplified loop flexibility, demonstrates the sensitivity of FPOP to even subtle changes in the solvent accessibility of amino acid side chains.
Conclusions
The combined use of several structural mass spectrometric techniques for the comparison of wild-type β2m and its variant D76N demonstrates the power and utility of protein footprinting methods, as well as the advantages of utilizing orthogonal footprinting methods in combination to produce an understanding of protein structure and dynamics in molecular detail to a greater extent than the sum of either method alone.
The FPOP and HDX data presented provide the first solution phase evidence that the D76N substitution in the E–F loop of β2m disrupts the hydrogen-bonding interactions of this region, leading to a change in loop dynamics and an increase in flexibility of the E–F and A–B loops. Although how this relates to the aggregation pathway of D76N remains unclear, the observation by others that alternative D76 substitutions cause similar increases in aggregation propensity,45 changes which would likely similarly disrupt native E–F loop interactions, could highlight the hydrogen bonding network in this region as a key regulator of amyloid formation in β2m. The astounding structural similarity of wild-type and D76N β2m,44−46 which is also indicated in some of the nonfootprinting structural MS experiments presented here, demonstrates the significance of this finding as a step toward understanding and finding new strategies to mitigate the aggregation process.
Acknowledgments
The Biotechnology and Biological Sciences Research Council (BBSRC) and AstraZeneca are acknowledged for funding O.C. during his Ph.D. (BB/M503459/2). The BBSRC also provided funding for the Compex KrF excimer laser (Coherent UK Ltd, Ely, UK) (BB/K000659/1) and a Research Equipment Initiative grant for the Synapt G2Si mass spectrometer (BB/E012558/1). The Orbitrap Q Exactive Plus mass spectrometer was purchased with funds from the Wellcome Trust (208385/Z/17/Z). We also thank Waters, Ltd., Wilmslow, Manchester, UK, for their donation of the LEAP HDX sample handling robot. S.E.R. acknowledges the ERC under the European Union’s seventh framework programme (FP7/2007-2013) (Grant No. 322408) and the Wellcome Trust (WT204963) for funding. We thank Dr. David Lowe (AstraZeneca) as well as Prof. Frank Sobott and members of the Ashcroft and Radford Groups (University of Leeds) for helpful discussions.
Supporting Information Available
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/jasms.0c00438.
FPOP-MS control peptide sequence map, FPOP-MS spectra and chromatogram comparing oxidized and unoxidized protein, FPOP-MS quantification data; HDX-MS raw data and uptake plots plus PAVED difference plots; IMS-MS estimated collision cross sections (PDF)
Author Contributions
The manuscript was written through contributions of all authors. All authors have given approval to the final version of the manuscript.
The authors declare no competing financial interest.
Supplementary Material
References
- Iadanza M. G.; Jackson M. P.; Hewitt E. W.; Ranson N. A.; Radford S. E. A new era for understanding amyloid structures and disease. Nat. Rev. Mol. Cell Biol. 2018, 19, 755–773. 10.1038/s41580-018-0060-8. [DOI] [PubMed] [Google Scholar]
- Chiti F.; Dobson C. M. Protein Misfolding, Amyloid Formation, and Human Disease: A Summary of Progress Over the Last Decade. Annu. Rev. Biochem. 2017, 86, 27–68. 10.1146/annurev-biochem-061516-045115. [DOI] [PubMed] [Google Scholar]
- Kiselar J.; Chance M. R. High-resolution hydroxyl radical protein footprinting: Biophysics tool for drug discovery. Annu. Rev. Biophys. 2018, 47, 315–333. 10.1146/annurev-biophys-070317-033123. [DOI] [PubMed] [Google Scholar]
- Liu X. R.; Zhang M. M.; Gross M. L. Mass Spectrometry-Based Protein Footprinting for Higher-Order Structure Analysis: Fundamentals and Applications. Chem. Rev. 2020, 120, 4355–4454. 10.1021/acs.chemrev.9b00815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Masson G. R.; Burke J. E.; Ahn N. G.; Anand G. S.; Borchers C.; Brier S.; Bou-Assaf G. M.; Engen J. R.; Englander S. W.; Faber J.; Garlish R.; Griffin P. R.; Gross M. L.; Guttman M.; Hamuro Y.; Heck A. J. R.; Houde D.; Iacob R. E.; Jørgensen T. J. D.; Kaltashov I. A.; Klinman J. P.; Konermann L.; Man P.; Mayne L.; Pascal B. D.; Reichmann D.; Skehel M.; Snijder J.; Strutzenberg T. S.; Underbakke E. S.; Wagner C.; Wales T. E.; Walters B. T.; Weis D. D.; Wilson D. J.; Wintrode P. L.; Zhang Z.; Zheng J.; Schriemer D. C.; Rand K. D. Recommendations for performing, interpreting and reporting hydrogen deuterium exchange mass spectrometry (HDX-MS) experiments. Nat. Methods 2019, 16, 595–602. 10.1038/s41592-019-0459-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson D. T.; Di Stefano L. H.; Jones L. M. Fast photochemical oxidation of proteins (FPOP): A powerful mass spectrometry-based structural proteomics tool. J. Biol. Chem. 2019, 294, 11969–11979. 10.1074/jbc.REV119.006218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Konermann L.; Pan J.; Liu Y.-H. Hydrogen exchange mass spectrometry for studying protein structure and dynamics. Chem. Soc. Rev. 2011, 40, 1224–1234. 10.1039/C0CS00113A. [DOI] [PubMed] [Google Scholar]
- Cornwell O.; Radford S. E.; Ashcroft A. E.; Ault J. R. Comparing Hydrogen Deuterium Exchange and Fast Photochemical Oxidation of Proteins: a Structural Characterisation of Wild-Type and ΔN6 β2-Microglobulin. J. Am. Soc. Mass Spectrom. 2018, 29, 2413–2426. 10.1007/s13361-018-2067-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Englander S. W. Hydrogen exchange and mass spectrometry: A historical perspective. J. Am. Soc. Mass Spectrom. 2006, 17, 1481–1489. 10.1016/j.jasms.2006.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aye T. T.; Low T. Y.; Sze S. K. Nanosecond Laser-Induced Photochemical Oxidation Method for Protein Surface Mapping with Mass Spectrometry. Anal. Chem. 2005, 77, 5814–5822. 10.1021/ac050353m. [DOI] [PubMed] [Google Scholar]
- Hambly D. M.; Gross M. L. Laser Flash Photolysis of Hydrogen Peroxide to Oxidize Protein Solvent-Accessible Residues on the Microsecond Timescale. J. Am. Soc. Mass Spectrom. 2005, 16, 2057–2063. 10.1016/j.jasms.2005.09.008. [DOI] [PubMed] [Google Scholar]
- Xu G.; Chance M. R. Hydroxyl Radical-Mediated Modification of Proteins as Probes for Structural Proteomics. Chem. Rev. 2007, 107, 3514–3543. 10.1021/cr0682047. [DOI] [PubMed] [Google Scholar]
- Cornwell O.; Bond N. J.; Radford S. E.; Ashcroft A. E. Long-Range Conformational Changes in Monoclonal Antibodies Revealed Using FPOP–LC–MS/MS. Anal. Chem. 2019, 91, 15163–15170. 10.1021/acs.analchem.9b03958. [DOI] [PubMed] [Google Scholar]
- Li K. S.; Chen G.; Mo J.; Huang R. Y. C.; Deyanova E. G.; Beno B. R.; O’Neil S. R.; Tymiak A. A.; Gross M. L. Orthogonal Mass Spectrometry-Based Footprinting for Epitope Mapping and Structural Characterization: The IL-6 Receptor upon Binding of Protein Therapeutics. Anal. Chem. 2017, 89, 7742–7749. 10.1021/acs.analchem.7b01748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Calabrese A. N.; Ault J. R.; Radford S. E.; Ashcroft A. E. Using hydroxyl radical footprinting to explore the free energy landscape of protein folding. Methods 2015, 89, 38–44. 10.1016/j.ymeth.2015.02.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Watkinson T. G.; Calabrese A. N.; Ault J. R.; Radford S. E.; Ashcroft A. E. FPOP–LC–MS/MS Suggests Differences in Interaction Sites of Amphipols and Detergents with Outer Membrane Proteins. J. Am. Soc. Mass Spectrom. 2017, 28, 50–55. 10.1007/s13361-016-1421-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu Y.; Zhang H.; Niedzwiedzki D. M.; Jiang J.; Blankenship R. E.; Gross M. L. Fast Photochemical Oxidation of Proteins Maps the Topology of Intrinsic Membrane Proteins: Light-Harvesting Complex 2 in a Nanodisc. Anal. Chem. 2016, 88, 8827–8834. 10.1021/acs.analchem.6b01945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pan Y.; Stocks B. B.; Brown L.; Konermann L. Structural Characterization of an Integral Membrane Protein in Its Natural Lipid Environment by Oxidative Methionine Labeling and Mass Spectrometry. Anal. Chem. 2009, 81, 28–35. 10.1021/ac8020449. [DOI] [PubMed] [Google Scholar]
- Zhang Y.; Wecksler A. T.; Molina P.; Deperalta G.; Gross M. L. Mapping the Binding Interface of VEGF and a Monoclonal Antibody Fab-1 Fragment with Fast Photochemical Oxidation of Proteins (FPOP) and Mass Spectrometry. J. Am. Soc. Mass Spectrom. 2017, 28, 850–858. 10.1007/s13361-017-1601-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jones L. M.; Sperry J. B.; Carroll J. A.; Gross M. L. Fast Photochemical Oxidation of Proteins for Epitope Mapping. Anal. Chem. 2011, 83, 7657–7661. 10.1021/ac2007366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yan Y.; Chen G.; Wei H.; Huang R. Y. C.; Mo J.; Rempel D. L.; Tymiak A. A.; Gross M. L. Fast Photochemical Oxidation of Proteins (FPOP) Maps the Epitope of EGFR Binding to Adnectin. J. Am. Soc. Mass Spectrom. 2014, 25, 2084–2092. 10.1007/s13361-014-0993-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li J.; Wei H.; Krystek S. R.; Bond D.; Brender T. M.; Cohen D.; Feiner J.; Hamacher N.; Harshman J.; Huang R. Y. C.; Julien S. H.; Lin Z.; Moore K.; Mueller L.; Noriega C.; Sejwal P.; Sheppard P.; Stevens B.; Chen G.; Tymiak A. A.; Gross M. L.; Schneeweis L. A. Mapping the Energetic Epitope of an Antibody/Interleukin-23 Interaction with Hydrogen/Deuterium Exchange, Fast Photochemical Oxidation of Proteins Mass Spectrometry, and Alanine Shave Mutagenesis. Anal. Chem. 2017, 89, 2250–2258. 10.1021/acs.analchem.6b03058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Espino J. A.; Jones L. M. Illuminating Biological Interactions with in Vivo Protein Footprinting. Anal. Chem. 2019, 91, 6577–6584. 10.1021/acs.analchem.9b00244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Niu B.; Zhang H.; Giblin D.; Rempel D. L.; Gross M. L. Dosimetry Determines the Initial OH Radical Concentration in Fast Photochemical Oxidation of Proteins (FPOP). J. Am. Soc. Mass Spectrom. 2015, 26, 843–846. 10.1007/s13361-015-1087-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vahidi S.; Konermann L. Probing the Time Scale of FPOP (Fast Photochemical Oxidation of Proteins): Radical Reactions Extend Over Tens of Milliseconds. J. Am. Soc. Mass Spectrom. 2016, 27, 1156–1164. 10.1007/s13361-016-1389-x. [DOI] [PubMed] [Google Scholar]
- Niu B.; Mackness B. C.; Rempel D. L.; Zhang H.; Cui W.; Matthews C. R.; Zitzewitz J. A.; Gross M. L. Incorporation of a Reporter Peptide in FPOP Compensates for Adventitious Scavengers and Permits Time-Dependent Measurements. J. Am. Soc. Mass Spectrom. 2017, 28, 389–392. 10.1007/s13361-016-1552-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Svejdal R. R.; Dickinson E. R.; Sticker D.; Kutter J. P.; Rand K. D. Thiol-ene Microfluidic Chip for Performing Hydrogen/Deuterium Exchange of Proteins at Subsecond Time Scales. Anal. Chem. 2019, 91, 1309–1317. 10.1021/acs.analchem.8b03050. [DOI] [PubMed] [Google Scholar]
- Rob T.; Liuni P.; Gill P. K.; Zhu S.; Balachandran N.; Berti P. J.; Wilson D. J. Measuring dynamics in weakly structured regions of proteins using microfluidics-enabled subsecond H/D exchange mass spectrometry. Anal. Chem. 2012, 84, 3771–3779. 10.1021/ac300365u. [DOI] [PubMed] [Google Scholar]
- Gau B.; Garai K.; Frieden C.; Gross M. L. Mass Spectrometry-Based Protein Footprinting Characterizes the Structures of Oligomeric Apolipoprotein E2, E3, and E4. Biochemistry 2011, 50, 8117–8126. 10.1021/bi200911c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Phillips J. J.; Buchanan A.; Andrews J.; Chodorge M.; Sridharan S.; Mitchell L.; Burmeister N.; Kippen A. D.; Vaughan T. J.; Higazi D. R.; Lowe D. Rate of Asparagine Deamidation in a Monoclonal Antibody Correlating with Hydrogen Exchange Rate at Adjacent Downstream Residues. Anal. Chem. 2017, 89, 2361–2368. 10.1021/acs.analchem.6b04158. [DOI] [PubMed] [Google Scholar]
- Niu B.; Appleby T. C.; Wang R.; Morar M.; Voight J.; Villaseñor A. G.; Clancy S.; Wise S.; Belzile J.-P.; Papalia G.; Wong M.; Brendza K. M.; Lad L.; Gross M. L. Protein Footprinting and X-ray Crystallography Reveal the Interaction of PD-L1 and a Macrocyclic Peptide. Biochemistry 2020, 59, 541–551. 10.1021/acs.biochem.9b00822. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shi L. R.; Liu T.; Gross M. L.; Huang Y. Recognition of Human IgG1 by Fcγ Receptors: Structural Insights from Hydrogen-Deuterium Exchange and Fast Photochemical Oxidation of Proteins Coupled with Mass Spectrometry. Biochemistry 2019, 58, 1074–1080. 10.1021/acs.biochem.8b01048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valleix S.; Gillmore J. D.; Bridoux F.; Mangione P. P.; Dogan A.; Nedelec B.; Boimard M.; Touchard G.; Goujon J.-M.; Lacombe C.; Lozeron P.; Adams D.; Lacroix C.; Maisonobe T.; Planté-Bordeneuve V.; Vrana J. A.; Theis J. D.; Giorgetti S.; Porcari R.; Ricagno S.; Bolognesi M.; Stoppini M.; Delpech M.; Pepys M. B.; Hawkins P. N.; Bellotti V. Hereditary Systemic Amyloidosis Due to Asp76Asn Variant β2-Microglobulin. N. Engl. J. Med. 2012, 366, 2276–2283. 10.1056/NEJMoa1201356. [DOI] [PubMed] [Google Scholar]
- Androlewicz M. J.; Ortmann B.; van Endert P. M.; Spies T.; Cresswell P. Characteristics of peptide and major histocompatibility complex class I/beta 2-microglobulin binding to the transporters associated with antigen processing (TAP1 and TAP2). Proc. Natl. Acad. Sci. U. S. A. 1994, 91, 12716–12720. 10.1073/pnas.91.26.12716. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heegaard N. H. H. β2-microglobulin: from physiology to amyloidosis. Amyloid 2009, 16, 151–173. 10.1080/13506120903151775. [DOI] [PubMed] [Google Scholar]
- Campbell E. C.; Antoniou A. N.; Powis S. J. The multi-faceted nature of HLA class I dimer molecules. Immunology 2012, 136, 380–384. 10.1111/j.1365-2567.2012.03593.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scarpioni R.; Ricardi M.; Albertazzi V.; De Amicis S.; Rastelli F.; Zerbini L. Dialysis-related amyloidosis: challenges and solutions. Int. J. Nephrol. Renovasc. Dis. 2016, 9, 319–328. 10.2147/IJNRD.S84784. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koch K. M. Dialysis-related amyloidosis. Kidney Int. 1992, 41, 1416–1429. 10.1038/ki.1992.207. [DOI] [PubMed] [Google Scholar]
- Jahn T. R.; Parker M. J.; Homans S. W.; Radford S. E. Amyloid formation under physiological conditions proceeds via a native-like folding intermediate. Nat. Struct. Mol. Biol. 2006, 13, 195–201. 10.1038/nsmb1058. [DOI] [PubMed] [Google Scholar]
- Hoop C. L.; Zhu J.; Bhattacharya S.; Tobita C. A.; Radford S. E.; Baum J. Collagen I Weakly Interacts with the β-Sheets of β2-Microglobulin and Enhances Conformational Exchange To Induce Amyloid Formation. J. Am. Chem. Soc. 2020, 142, 1321–1331. 10.1021/jacs.9b10421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Benseny-Cases N.; Karamanos T. K.; Hoop C. L.; Baum J.; Radford S. E. Extracellular matrix components modulate different stages in β2-microglobulin amyloid formation. J. Biol. Chem. 2019, 294, 9392–9401. 10.1074/jbc.RA119.008300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eichner T.; Kalverda A. P.; Thompson G. S.; Homans S. W.; Radford S. E. Conformational Conversion during Amyloid Formation at Atomic Resolution. Mol. Cell 2011, 41, 161–172. 10.1016/j.molcel.2010.11.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Rosa M.; Barbiroli A.; Giorgetti S.; Mangione P. P.; Bolognesi M.; Ricagno S. Decoding the Structural Bases of D76N ß2-Microglobulin High Amyloidogenicity through Crystallography and Asn-Scan Mutagenesis. PLoS One 2015, 10, e0144061 10.1371/journal.pone.0144061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smith H. I.; Guthertz N.; Cawood E. E.; Maya-Martinez R.; Breeze A. L.; Radford S. E. The role of the IT-state in D76N β2-microglobulin amyloid assembly: A crucial intermediate or an innocuous bystander?. J. Biol. Chem. 2020, 295, 12474–12484. 10.1074/jbc.RA120.014901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Le Marchand T.; de Rosa M.; Salvi N.; Sala B. M.; Andreas L. B.; Barbet-Massin E.; Sormanni P.; Barbiroli A.; Porcari R.; Sousa Mota C.; de Sanctis D.; Bolognesi M.; Emsley L.; Bellotti V.; Blackledge M.; Camilloni C.; Pintacuda G.; Ricagno S. Conformational dynamics in crystals reveal the molecular bases for D76N beta-2 microglobulin aggregation propensity. Nat. Commun. 2018, 9, 1658. 10.1038/s41467-018-04078-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Halabelian L.; Ricagno S.; Giorgetti S.; Santambrogio C.; Barbiroli A.; Pellegrino S.; Achour A.; Grandori R.; Marchese L.; Raimondi S.; Mangione P. P.; Esposito G.; Al-Shawi R.; Simons J. P.; Speck I.; Stoppini M.; Bolognesi M.; Bellotti V. Class I Major Histocompatibility Complex, the Trojan Horse for Secretion of Amyloidogenic β2-Microglobulin. J. Biol. Chem. 2014, 289, 3318–3327. 10.1074/jbc.M113.524157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mangione P. P.; Esposito G.; Relini A.; Raimondi S.; Porcari R.; Giorgetti S.; Corazza A.; Fogolari F.; Penco A.; Goto Y.; Lee Y.-H.; Yagi H.; Cecconi C.; Naqvi M. M.; Gillmore J. D.; Hawkins P. N.; Chiti F.; Rolandi R.; Taylor G. W.; Pepys M. B.; Stoppini M.; Bellotti V. Structure, Folding Dynamics, and Amyloidogenesis of D76N β(2)-Microglobulin: Roles of shear flow, hydrophobic surfaces, and α-Crystallin. J. Biol. Chem. 2013, 288, 30917–30930. 10.1074/jbc.M113.498857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eichner T.; Radford S. E. A generic mechanism of beta2-microglobulin amyloid assembly at neutral pH involving a specific proline switch. J. Mol. Biol. 2009, 386, 1312–1326. 10.1016/j.jmb.2009.01.013. [DOI] [PubMed] [Google Scholar]
- Loureiro R. J. S.; Vila-Vicosa D.; Machuqueiro M.; Shakhnovich E. I.; Faisca P. F. N. A tale of two tails: The importance of unstructured termini in the aggregation pathway of β2-microglobulin. Proteins Struct. Proteins: Struct., Funct., Genet. 2017, 85, 2045–2057. 10.1002/prot.25358. [DOI] [PubMed] [Google Scholar]
- Chong S.-H.; Hong J.; Lim S.; Cho S.; Lee J.; Ham S. Structural and Thermodynamic Characteristics of Amyloidogenic Intermediates of β-2-Microglobulin. Sci. Rep. 2015, 5, 13631. 10.1038/srep13631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tipping K. W.; Karamanos T. K.; Jakhria T.; Iadanza M. G.; Goodchild S. C.; Tuma R.; Ranson N. A.; Hewitt E. W.; Radford S. E. pH-induced molecular shedding drives the formation of amyloid fibril-derived oligomers. Proc. Natl. Acad. Sci. U. S. A. 2015, 112, 5691. 10.1073/pnas.1423174112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Konermann L.; Stocks B. B.; Czarny T. Laminar Flow Effects During Laser-Induced Oxidative Labeling for Protein Structural Studies by Mass Spectrometry. Anal. Chem. 2010, 82, 6667–6674. 10.1021/ac101326f. [DOI] [PubMed] [Google Scholar]
- Cornwell O.Development of Structural Mass Spectrometry Based Techniques for the Study of Aggregation-Prone Proteins. Ph.D. Thesis, University of Leeds, UK, 2019. [Google Scholar]
- Gau B. C.; Chen J.; Gross M. L. Fast photochemical oxidation of proteins for comparing solvent-accessibility changes accompanying protein folding: Data processing and application to barstar. Biochim. Biophys. Acta, Proteins Proteomics 2013, 1834, 1230–1238. 10.1016/j.bbapap.2013.02.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Esposito G.; Michelutti R.; Verdone G.; Viglino P.; Hernández H.; Robinson C. V.; Amoresano A.; Dal Piaz F.; Monti M.; Pucci P.; Mangione P.; Stoppini M.; Merlini G.; Ferri G.; Bellotti V. Removal of the N-terminal hexapeptide from human beta2-microglobulin facilitates protein aggregation and fibril formation. Protein Sci. 2000, 9, 831–845. 10.1110/ps.9.5.831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Borotto N. B.; Zhang Z.; Dong J.; Burant B.; Vachet R. W. Increased β-Sheet Dynamics and D-E Loop Repositioning Are Necessary for Cu(II)-Induced Amyloid Formation by β-2-Microglobulin. Biochemistry 2017, 56, 1095–1104. 10.1021/acs.biochem.6b01198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sharp J. S.; Tomer K. B. Effects of anion proximity in peptide primary sequence on the rate and mechanism of leucine oxidation. Anal. Chem. 2006, 78, 4885–4893. 10.1021/ac060329o. [DOI] [PubMed] [Google Scholar]
- Hentze N.; Mayer M. P. Analyzing Protein Dynamics Using Hydrogen Exchange Mass Spectrometry. J. Visualized Exp. 2013, 50839. 10.3791/50839. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bai Y.; Milne John S.; Mayne L.; Englander S. W. Primary structure effects on peptide group hydrogen exchange. Proteins: Struct., Funct., Genet. 1993, 17, 75–86. 10.1002/prot.340170110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nguyen D.; Mayne L.; Phillips M. C.; Walter Englander S. Reference Parameters for Protein Hydrogen Exchange Rates. J. Am. Soc. Mass Spectrom. 2018, 29, 1936–1939. 10.1007/s13361-018-2021-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chandrasekaran P.; Rajasekaran R. A systematic molecular dynamics approach to the structural characterization of amyloid aggregation propensity of β2-microglobulin mutant D76N. Mol. BioSyst. 2016, 12, 850–859. 10.1039/C5MB00759C. [DOI] [PubMed] [Google Scholar]
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