Abstract
Equilibrium dynamics of different folding intermediates and denatured states is strongly connected to the exploration of the conformational space on the nanosecond time scale and might have implications in understanding protein folding. For the first time, the same protein system apomyoglobin has been investigated using neutron spin-echo spectroscopy in different states: native-like, partially folded (molten globule) and completely unfolded, following two different unfolding paths: using acid or guanidinium chloride (GdmCl). While the internal dynamics of the native-like state can be understood using normal mode analysis based on high resolution structural information of myoglobin, for the unfolded and even for the molten globule states, models from polymer science are employed. The Zimm model accurately describes the slowly-relaxing, expanded GdmCl-denaturated state, ignoring the individuality of the different aminoacid side chain. The dynamics of the acid unfolded and molten globule state are similar in the framework of the Zimm model with internal friction, where the chains still interact and hinder each other: the first Zimm relaxation time is as large as the internal friction time. Transient formation of secondary structure elements in the acid unfolded and presence of α-helices in the molten globule state lead to internal friction to a similar extent.
Subject terms: Protein folding, Protein aggregation, Molecular conformation, SAXS, Biological physics
Introduction
The similarities between polymers and unfolded or disordered proteins behaving like polymers are subject of recent debate. On one hand, the soft matter community brings detailed insights in the physical properties of soft matter macromolecules based on polymer models, including very complex interactions between their simple chemical monomer units. On the other hand, there are biological macromolecules, for example, proteins, which consist of 20 different monomers, whose distinct sequence results in a unique three-dimensional fold and gives rise to a very specialized biological function1. An emerging biological interest concerns the dynamical properties of intrinsically unfolded proteins and the relevance of molecular dynamics for the protein folding problem where an unfolded and flexible protein progressively gains secondary structure and finally forms its folded and comparatively rigid structure. In the present manuscript, we studied different folding states of apomyoglobin (apoMb), in order to investigate the transition between protein-like and polymer-like dynamic behavior. ApoMb is a model system for protein folding studies and the heme-free form of myoglobin, a protein responsible for the transport and storage of oxygen in the horse heart muscle (uniprot no. P68082). It consists of 153 amino acids, which form 8 α-helices connected by loops. The kinetics of its acid unfolding and folding process are well-characterized2: at pH 6 the protein is in a native-alike state, at pH 4 in a molten globule state, whilst at pH 2 the protein is completely unfolded. An alternative denaturation/unfolding path, which has different physical processes lying behind, is induced by adding guanidine hydrochloride (GdmCl). Early studies showed that based on pH and temperature, the GdmCl concentration needed to denaturate myoglobin varies3. For the current experiment, the used concentration of GdmCl was 3 M. A schematic representation of these folding states is available in Fig. 1A–D. The nanosecond and nanometer time- and length-regime is of significant relevance in understanding the equilibrium dynamics of unfolded peptide chains. These motions are essential in the process of protein folding as initial steps of protein folding occur in that time-space range. The conformational motions of the unfolded peptide drive the sampling of the energy landscape and the exploration of a large conformational space prior to the collapse into the folded structure. It is currently an experimental challenge to probe these large-scale motions. There are only a few experimental techniques that access these length and timescales, i.e. NMR4,5, single-molecule Förster resonance energy transfer combined with nanosecond correlation spectroscopy6,7, and neutron spin-echo spectroscopy (NSE)8,9. In this regime, several dynamic processes occur: translational and rotational diffusion of the whole molecule which are related to the protein-solvent interactions, and motions within the molecule, e.g. backbone torsional re-orientations, side-chain translations, motions that we call internal dynamics. These motions are driven by the thermal forces from the collision of the protein with solvent molecules (Brownian motion)10. Side-chain rotations and local vibrational motions occur on the picosecond time-scale and may lead to coupled motions, and are mostly subject of laser spectroscopy investigations and of quasi-elastic neutron scattering (QENS)11.
So far, NSE was employed to investigate and characterize domain dynamics of multidomain proteins such as phosphoglycerate kinase (45–65 kDa)12, alcohol dehydrogenase (141 kDa)13, immunoglobulin G1 (150 kDa)14,15 and Taq-polymerase16 (94 kDa), of dimers e.g. bovine serum albumin17 (132 kDa), and of smaller proteins such as human lactoferrin (78 kDa)18 and the mammalian Na+/H+ exchange regulatory factor 1 (NHERF1, 50 kDa)19. By decoupling the translational-rotational diffusion of the whole system, the NSE spectra deliver information on the internal dynamics, interpreted using normal mode analysis. Other particular applications for this technique are intrinsically disordered and unfolded proteins, which lack secondary structure elements and contain a high degree of structural freedom and conformational flexibility. NSE studies were performed and reported on myelin basic protein20, guanidinium- denatured bovine serum albumin21. The dynamics of these proteins and their interactions with the solvent were interpreted using three different models: the Zimm model, Zimm with internal friction and Zimm with damping of the mode amplitudes, which are well-established in polymer theory22,23. These models have been derived from the Rouse models: Rouse with internal friction24 and Rouse with damping of the mode amplitudes25. Further variations of the Zimm model, which consider loop formations along the protein chain, were applied to data on intrinsically disordered proteins studied by single-molecule photo-induced energy transfer spectroscopy. By placing a fluorescent label at the end of the protein chain and allowing it to transfer energy to certain amino-acids, one can measure the relaxation of several loop forming chain segments26–28. By investigating different folding and denaturation intermediates of apomyoglobin (apoMb), we intend to see to which extent these approaches towards modeling protein dynamics can be applied. This is especially interesting since it will give insight into the regime where proteins behave like polymers, losing the individuality of their different amino acid monomers.
Results
Structural properties
According to the circular dichroism (CD) measurements, apoMb in its native-alike form at pD 6 contains 49% secondary structure elements (see Fig. 2). Under acid denaturation, apoMb at pD 4 has 25% secondary structure elements and at pD 2 4.3%. At 3 M GdmCl, there are about 6% secondary structure elements in the protein molecule. The content of secondary structure elements of apoMb at pD 2 and the one of GdmCl-denatured states are in both cases very small and comparable to each other within the error of the applied technique.
Small angle neutron scattering (SANS) was used to gain information on these folding states. The labile protons of the protein have been exchanged with deuterium and all the solvents used were deuterated to decrease the incoherent neutron scattering. The pD value was determined as 0.4 plus the pH meter read-out. Data of low concentrated (3–5 mg/mL) protein solutions that show no signs of intermolecular interactions, nor aggregates was used to characterize the form of the protein molecule in each folding/denaturation state (see Fig. 3). All measurements in this study were performed at 10 °C to minimize the risk of aggregation. The scattering curve of apoMb at pD 6 is well described by a generalized Guinier model29, , where Rg is the radius of gyration and α a parameter describing the three-dimensional form of the protein. The model is valid in the range: qRg < 1.3. With α = 0, the protein is a spheroid with Rg = 1.5 nm. With a hydrodynamic radius RH of approximately 2 nm determined by dynamic light scattering (DLS), this state has a high degree of compactness: RH/Rg = 1.32 (30 and the references therein). The theoretical limit of a solid sphere is given by RH/Rg = (5/3)0.5 = 1.29, while the average for a random-coil polymer (or a polymer in θ-solvent) gives a ratio of 0.6531.
The measured SANS curves of the partially and completely unfolded proteins are well described by the polymer with excluded volume model32,33 (See Table 1 and Fig. 3). This analytical model was used to describe various polymer systems34. Whereas a Gaussian polymer chain has orientationally uncorrelated links between the beads and the length of these segments follows a Gaussian probability distribution, this model considers excluded volume effects too, reflected by the excluded volume parameter ν. This is related to the Porod exponent m through ν = 1/m and also known as critical exponent. The statistical segment length of the polymer chain, also known as Kuhn length l, and the degree of polymerization n can be extracted from the formula .
Table 1.
Rg/Å | ν | m | RH/Å | RH/Rg | l/Å | |
---|---|---|---|---|---|---|
pD 2 | 26.7 ± 3.5 | 0.55 | 1.83 ± 0.35 | 18.0 ± 2.6 | 0.67 | 13.6 |
pD 4 | 25.4 ± 0.7 | 0.46 | 2.17 ± 0.02 | 30.0 ± 5.6 | 1.18 | 15.1 |
GdmCl | 70.2 ± 0.6 | 0.64 | 1.56 ± 0.01 | 56.7 ± 4.8 | 0.81 | 28.2 |
pD 6 | 14.8 ± 0.1 | — | — | 19.6 ± 2.5 | 1.32 | — |
The compactness of a polymer is also related to the excluded volume parameter ν30. Applying the polymer with excluded volume model to the present denaturated protein structures is appropriate, given that the theory behind it is validated in practice by several techniques. In a simple picture, the denaturation by acid occurs because the amino acid side chains become protonated and repel each other, destabilizing the secondary structure elements. ApoMb at pD 4, the molten globule state with 30% content of secondary structure elements, is more compact (RH/Rg = 1.18 and ν = 0.46) than apoMb at pD 2 (4% content of secondary structure elements, RH/Rg = 0.67, ν = 0.55). Denaturation by GdmCl occurs through a slightly different process: some of the amino acid units become protonated (pH meter read-out for the buffer of the GdmCl-denaturated protein is 4.5), and the guanidium hydrochloride molecules interact with the protein chain, leading to an expansion of the unfolded molecule35–37. This is reflected in our data: larger Rg and RH values, and also less compactness compared to the other unfolded states: ν = 0.64. Similar to the apoMb unfolded state of urea investigated by Eliezer et al.38, this could be a mixture of monomer and dimer. In other words, apoMb at pD 6 is a typical globular protein, whereas the partially and completely acid-unfolded, apoMb at pD 4 and pD 2 are more compact than the denaturant unfolded state. The GdmCl-denaturated state has a larger size and lacks compactness. ApoMb at pD 2 has the typical RH/Rg value for a polymer in good solvent39,40 and the typical ν-value for a chain with excluded volume interactions41.
The structure factor, which is concentration-dependent, is obtained by dividing the scattering curve of the concentrated solution by the form factor (see SI). The data is smoothed and averaged to remove the noise. Whereas the form factor describes the shape of a molecule in solution, the structure factor characterizes the interaction between these molecules. The structure factor is needed in order to correct the dynamics data reported later. Intermolecular interactions are well described in the case of apoMb by a mean spherical approximation (MSA) structure factor42,43, originally developed for macro-ion solutions. The model was implemented using the python package Jscatter44, an adaptation of the original Fortran code45. ApoMb at pD 6 is closer to its isoelectric point (estimated by ExPASy46 to lie at 7.20), therefore there is only a slight difference between the number of positively and negatively charged residues. The charge on the surface is not distributed uniformly and the monomers attract each other (the structure factor is larger than 1 in the low q-regime). The curve has its minimum at q = 0.07 Å−1, suggesting that monomers start to interact with each other at a typical distance of 2π/q = 90 Å. A radius of gyration of 17 Å (closely lying to the one obtained by fitting the form factor) and a screening length of 30 Å are obtained by fitting the MSA model. In comparison to apoMb at pD 6, the structure factors of the solutions of apoMb denaturated by acid and GdmCl show that the monomers repel each other. This repelling can be attributed to the charge state (Fit results are available in SI).
Dynamical properties
Neutron Spin-Echo Spectroscopy (NSE,) measures temporal and spatial correlations between different scattering particles and from internal motions in the particles resulting in the normalized intermediate scattering function (ISF) S(q, t)/S(q, 0). ISF can be investigated for each q-value: either for its initial slope or as a stretched exponential (Kohlrausch-Williams-Watts). Alternatively, the data can be modelled simultaneously for all q values according to polymer models.
Investigation of the spectra initial slope
From its initial slope, the effective diffusion coefficient D1 is obtained S(q, t)/S(q, 0) = Aexp(− D1t − D2t2) (see SI). According to the de Gennes40 and Doi22 theory, the overlap concentration c* = M/(NA4πRg3/3) is the border between the diluted and the semidiluted regime of a polymer solution. ApoMb has a molecular weight of M = 16951 g/mol (the molecular weight of myoglobin of which the heme group weight is subtracted), and for Rg = 2 nm, the calculated value for the overlap concentration is c* = 840 g/L. At 30 mg/mL, the solution is significantly below the overlap concentration, thus it can be treated as a dilute solution. With an assumed Rg of 3 nm the overlap concentration would be c* = 249 g/L, still one order of magnitude larger than the maximum protein concentration used in the experiments presented here. However, this dilution classification is derived for polymer systems and does not account for any surface charge or forces between the protein molecules. Empirically, it was shown that intermolecular interactions and the solvent mediated interactions have to be considered as well47. Intermolecular interactions are represented by the structure factor. Solvent-mediated interactions are represented by the hydrodynamic function H(c, q), which can be approximated as a q-independent constant, given that its value in the low q regime is close to its value in the high q-regime. At low q-values, Hc,q0 = DcSq0/D0, where D0 is the extrapolated diffusion constant at infinite dilution, Dc is the diffusion coefficient at concentration c measured by DLS, and S(q = 0.026 nm−1) is the value of the structure factor at the DLS-specific q-value. At large q-values, the hydrodynamic functions Hc,qL = 0 can be approximated as the ratio between the measured viscosity of the concentrated and diluted protein solution, ηconc and ηc=0, respectively. For these solutions of apoMb, the values of Hc,q0 and Hc,qL are close to each other (see Fig. 3) and we assume that the hydrodynamic functions are constant in the q-range of interest.
Thereby, the effective diffusion coefficients Deff for the protein monomers are obtained: Deff(q) = D1(q)S(c, q)/Hc,q0 (see Fig. 4). They comprise information on translational diffusion, rotational diffusion and internal dynamics of the single molecule. In a good approximation, these motions can be decoupled18. For apoMb denaturated by acid (at pD 2 and pD 4) and by GdmCl, Deff has a linear dependence on q which is specific for the Zimm regime of local chain relaxations48, whereas for apoMb at pD 6 the value of Deff has a non-linear dependence on q (see Fig. 4).
The dynamics of the mostly folded protein apoMb at pD 6 deviates from the dynamics of the more denatured protein solutions. It is therefore discussed in the following paragraphs. At first, translational and rotational diffusion can be determined in the rigid-body approximation, directly from pdb structures using HYDROPRO49. ApoMb at pD 6 resembles the native structure of myoglobin. Given that there are no available pdb structures of the heme-free forms, and motivated by the work of Stadler et al.50, proving that myoglobin and apoMb at pD 6 have similar characteristics in solution, the crystal structure of myoglobin (pdb ID: 2v1k) was used for the calculation. For T = 283.15 K, η = 1.67 mPas, ϕ = 0.720 cm3/g (solute partial specific volume) and ρ = 1 g/cm3 (solution density), the 9x9 diffusion matrix D is obtained, that comprises the translational and the rotational diffusion matrices, whose traces are the translational diffusion coefficient 5.96 Å2/ns and the rotational diffusion coefficient of 9.83 μs−1.
The q-dependency of the coupled rotational and translational diffusion is obtained from the coordinates of the amino acids in the protein , their individual neutron scattering length b, the form factor F(q), and the diffusion matrix obtained above, using the formula:
1 |
which is derived by Ortega et al.47. The brackets represent the ensemble average over the remaining variables. While the integration over the position space for the single particle is 1, the orientation average can be replaced by an averaging over q-space. The exchange occurring between the protons at the protein surface and the solvent is also considered. The calculated D0(q) values are shown in Fig. 5 together with the experimentally derived Deff(q) values. As can be seen in Fig. 5, the difference ΔDeff(q) = Deff(q) − D0(q) between the measured NSE data points and the calculated Dtrans−rot accounts for approximately 20% of the total dynamics and can be due to internal α-helices movements or other internal dynamics processes. We performed a normal mode analysis using the MMTK package51–53. We determined the effective diffusion specific for the first non-trivial mode, mode number 7, as following:
2 |
where is the normal mode eigenvector, the eigenvalue of the corresponding dynamical matrix, λα=7 the mode-dependent relaxation rate, and the mode-dependent amplitude with average mass at the temperature T. We observe that the diffusion coefficient of the first non-trivial normal mode of the pdb structure 2v1k, describing the movement of the α-helices which allows the access to the heme group, has a similar dependence of the diffusion coefficient on q, see inset of Fig. 5.
Investigation of the spectra using stretched exponential functions
Another common practice in the NSE data evaluation is modeling using a stretched exponential function, characteristic for relaxation processes: . The stretching exponent β for apoMb at pD 6 is on average for all q-dependent data sets 0.9, a value close to 1, so that the protein is seen rather as a point, where translational diffusion dominates, and the internal dynamics is small in comparison to it (about 20%). In contrast, for the pD 2, pD 4 and GdmCl denaturated forms of apoMb the average values of the stretching exponent β are: 0.80, 0.85 and 0.81, respectively, approaching the Zimm prediction for Gaussian polymers in solution of 0.85, which indicates the presence of a broad distribution of internal diffusive motions48 (see SI).
Modelling with polymer models
Dynamics of such polymer-like systems can be well described using Zimm dynamics and a model derived from it, the Zimm model with internal friction (ZIF). The diffusive motions of a finite chain consisting of N beads with Kuhn length l are characterized by the Langevin equation. Including hydrodynamic interactions and the excluded volume effect, the equation can be transformed into normal coordinates and it leads to the dynamic structure factor:
3 |
τp is the relaxation time characteristic for the normal mode p, with η the solvent viscosity, and ν the critical exponent, kB the Boltzmann’s constant, T the temperature. RE is the end-to-end distance of the polymer chain . In the exponent of the first term of equation 3 one can find the hydrodynamic function H(c,q) mentioned earlier devided by the structure factor S(c,q). In the Zimm and ZIF models, the normal modes have all the same amplitude: A(p) = 1. Internal friction reflects the intrinsic resistance of a polymer to changes in its conformation and occurs due to dihedral angle rotational barriers, hydrogen bonding or intrachain collisions. As opposed to the Zimm model, the ZIF model incorporates the internal friction of the polymer chain as a resistive spring installed in parallel to the entropic spring connecting the beads. By solving the Langevin equation, a mode independent relaxation time τintern is obtained. It is added to each Zimm mode τp so that τpZIF = τp + τintern. This way, in the ZIF model the higher frequency normal modes of the Zimm model are damped.
The NSE spectra can be simulated based on the equation defining I(q, t). Using the information on the translational diffusion from DLS, on the viscosity (from direct measurements), on the hydrodynamic function (see Table 2) and on the critical exponent ν and Rg obtained from the SANS data (see Table 1), the simulation can be performed. In Fig. 6a,b, the dotted lines are simulated NSE spectra of apoMb pD 4 and pD 2 using the Zimm model, under the assumption that the polymer consists of 20 beads. The simulation reproduces the spectra well, but the large q-values and the longer Fourier-times are not described properly by the Zimm model. Without any knowledge on the internal friction time, the ZIF model was fitted simultaneously for all q for each sample, having only D and τintern as free parameters. The fit results are presented in Table 3. The values obtained for the center of mass diffusion coefficients D are comparable within error bars with the ones obtained via DLS measurements for both pD 2 and pD 4. Although apoMb at pD 4 is a molten globule and has a significantly higher content of secondary structure elements, its dynamics can still be understood similarly to the one of the totally unfolded state. The whole structure needs a similar time to relax (tZimm) and both protein states experience a similar internal friction(τintern). However, for apoMb at pD 4, the ZIF model deviates significantly from the experimental NSE spectra at longer Fourier times, especially for the ISF at q = 0.07 Å−1, which is reflected in the larger χ2 value. This could be because the model does not account for any residual secondary structure content. An interpretation of the experimental NSE data might be achieved by coarse-grained computer simulations, which are out of the scope of the present manuscript. We refer here to future studies to clarify that aspect.
Table 2.
Sq0 | Dconc/Å2 ns−1 | D0/Å2 ns−1 | Hc,q0 | ηconc/mPas | ηc=0/mPas | Hc,qL | |
---|---|---|---|---|---|---|---|
pD 2 | 0.485 | 6.0 | 3.8 | 0.103 | * | 1.74 | — |
pD 4 | 0.436 | 1.4 | 2.5 | 0.244 | 5.01 | 1.72 | 0.344 |
GdmCl | 0.615 | 2.3 | 2.0 | 0.708 | 2.83 | 1.97 | 0.696 |
pD 6 | 1.163 | 6.1 | 8.2 | 0.863 | 2.2 | 1.70 | 0.773 |
Table 3.
ν | η/mPas | D/Å2 ns−1 | l/nm | tZimm/ns | τintern/ns | χ2 | |
---|---|---|---|---|---|---|---|
pD2 | 0.55 | 1.7 | 3.0 | 1.36 | 49.66 | 50.89 | 9.37 |
pD4 | 0.46 | 1.7 | 1.7 | 1.51 | 42.51 | 49.63 | 34.12 |
GdmCl | 0.64 | 1.9 | 1.2 | 1.34 | 83.6 | 0 | 2.27 |
In contrast to these two, apoMb denaturated by GdmCl has almost double the Zimm relaxation time and no internal friction time is observed (see Fig. 6c). Dynamics of denatured apoMb can be described very well using the Zimm model only. This supports the mechanism of denaturation described by Heyda et al. and Huerta et al.35,37: GdmCl increases the solubility of hydrophobic residues and the local energetic barriers are lowered. The trends observed on intrinsically disordered proteins (IDPs) denaturated states in different concentrations of GdmCl36 are confirmed. Several studies including the Zimm model support the idea that the centre of mass diffusion coefficient of the protein scales with the chain length, or with the bead number, according to 6,26,36. These studies are performed on proteins where the chain length is varied, which is not the case for the present work. ApoMb, which always consists of the same number of amino acids, independently of its folding state. The bead number should not be confused with the chain length. The choice of the beads number when the protein is considered a polymer is arbitrary, but even when we increase the beads number, having less than 7 amino-acids per bead, the ZIF model does not change its validity (see Supplementary Information).
Further polymer models (Zimm with damping of the mode amplitudes21, compacted Zimm with internal friction26, the Zimm analogues of the Rouse with non-local interactions and of the Rouse with anharmonic potentials54 have been considered to interpret this data, but none leads to better results. Some studies claiming that internal friction does not play a role are performed on smaller proteins28 or the solvent viscosity is varied significantly55. In those cases, the friction with the solvent, and not the internal friction may be the dominant dissipation mechanism. For the data presented in this work for apoMb at pD 2 and pD 4, the ZIF model is the best fit.
Discussion
By comparing two different denaturation ways, we could gain insights on the denaturant effect on the structure and dynamics of the model system apomyoglobin. Both ways started from the native-alike form apoMb at pD 6. The protein in this folding state resembles many structural features of the holoprotein and its dynamics shows internal collective modes, which are no longer seen in any other unfolded states investigated (see Fig. 1). Its internal dynamics, accounting for less than 20% of the total dynamics of the protein is of biological relevance: the α-helices perform this movement to incorporate the heme group in the process of the protein synthesis56.
In case of the acid denaturation, apoMb at pD 4 has a high content of secondary structure elements, observed by CD spectroscopy and SANS. However, its dynamics can if it all be described by the same polymer model (ZIF) as the dynamics of the acid unfolded state, apoMb at pD 2 (see Fig. 1B,C,G). Although similar Zimm relaxation and internal friction times are obtained, the data is not as perfectly modelled. The GdmCl unfolded apoMb does not show internal friction, suggesting that this denaturant is screening the protein chains, reducing the interaction between them (see Fig. 1D,F). The observations of Zheng et al.56, Borgia et al.36 and Samanta et al.26 on IDPs are confirmed also for apoMb: internal friction is larger with considerable increase of protein compactness.
Previous QENS experiments showed that molecular dynamics on the faster ps to ns time-scale are similar between apoMb at pD 2 and apoMb at pD 4, but differ significantly from apoMb at pD 657. That dynamic picture is corroborated here by NSE for slower collective dynamics as well. The first folding step in apoMb does not have a significant effect on collective internal dynamics. A fundamental change in the physical nature of the dynamics of Mb due to protein folding occurs only by the following folding step into the native state, where the heme-pocket is formed. By comparing the internal friction in apoMb at pD 4 with that of an IDP with a similar content of secondary structure20, we see that internal friction dominates the Zimm mode spectrum even stronger for the IDP than for the apo-Mb at pD 4. This shows that apoMb at pD 4 and apoMb at pD 2 still need to be seen as comparatively soft protein conformations. Therefore, the formation of the G and H helices in the apoMb at pD 4 state is not that important for the motions seen by NSE. Motions in apoMb at pD 2 and pD 4 are rather influenced by the transient formation of secondary structure content. If more information on intermediate states experiencing constant folding/refolding transitions would be available, the dynamics of the denaturated proteins observed by NSE could be modelled as an equilibrium, an average distribution of the intermediate state dynamics. Recent single-molecule techniques allow the observation of such intermediate states58, whilst theories such as Zimm-Bragg59 claim that chemical unfolding is a multi-state process of a mixture of conformations. To relate the NSE observations with the in depth understanding of the chemical unfolding process of apoMb directly, such experiments and theories would be necessary.
Although proteins are known to adopt their unique structure based on the individuality of their amino acid side chains, coarse grain polymer models can characterize the nanosecond dynamics. In case of the GdmCl denatured apomyoglobin, the protein loses all its protein-like features and behaves like a Zimm polymer. This is mostly due to the binding of GdmCl to the side chains removing their individuality leading to a more polymer like behavior. Moreover, apoMb at pD 2, which could still exhibit hydrogen bonding and some transient elements of secondary structure, loses its protein-like features, but behaves like a non-ideal polymer, with internal friction.
Methods
Sample preparation
ApoMb was prepared from horse-heart myoglobin (Sigma-Aldrich) following the butanone method to extract the heme group (as performed in50), adapting the method described in60), and then refolded by dialysis in 20 mM NaH2PO4/Na2HPO4 (Sigma Life Science, >99.5% and Sigma-Aldrich, >99%) pH 7 buffer and distilled water. Before storage in the freezer, the apo-Mb solution was lyophilized. To replace the exchangeable protons by deuterium ions, the freeze-dried apo-Mb powder was dissolved in heavy water (99.9% 2H, Sigma-Aldrich), incubated for 1 day, and lyophilized again. The obtained powder was stored at −20 °C. In order to obtain the molten globule state of apoMb the powder was dissolved in 2H2O and centrifuged to remove the large aggregates. In the supernate solution of concentration 2 mg/mL and pH 6, 2HCl 0.1 M (Sigma-Aldrich) was added until the pH-read out value was 3.6 (monitored by pH meter Methrom). This corresponds to a a pD value of 4. The buffer exchanged protein solution was centrifuged (Heracus Instruments) to the final concentrations (Vivaspin 3,000 MWCO concentration units, Sartorius, Göttingen, Germany).
Circular dichroism (CD)
Circular dichroism was measured on a Jasco J1100 spectropolarimeter (JASCO, Tokyo, Japan), in the range 180–250 nm, with a pitch of 1 nm, a scanning speed of 100 nm/min, and 3 accumulations/measurement. The samples were measured at a concentration of 300 μM in 0.01 cm thick quartz cuvettes under constant nitrogen flow at 10 °C. According to the BeStSel Single Spectrum Analysis61, the α-helix composition of apoMb, varied as following: pD 6–49%, pD 4–25%, pD 2–4.3%, GdmCl–6%. In case of GdmCl-denaturated solution, only the range 200–240 nm was considered for data analysis because GdmCl absorbs strongly in the range 180–200 nm.
Dynamic light scattering (DLS)
Dynamic light scattering was measured on a Zetasizer Nano ZS instrument (Malvern Instruments, Malvern, Worcestershire, United Kingdom), that records the 632.8 nm light scattered under 173°. Autocorrelation functions were analyzed by a CONTIN algorithm. The hydrodynamic radius RH was determined according to the Stokes-Einstein equation RH = kBT/(6πηD) with the D2O viscosity η = 1.679 mPa s at 10 °C. The 30 mg/mL solutions of apoMb at pD 4 and apoMb denaturated by GdmCl that were also monitored by in situ DLS, during the NSE experiments62.
Small-angle neutron scattering (SANS)
The scattering vector q is defined as q = 4nπ/λsin(θ∕2) with the incident neutron wavelength λ and the scattering angle θ. The investigation of the form and structure factor was performed for apoMb at pD 2 and pD 6 at the instrument KWS-2 at the MLZ in Garching63. The in situ DLS option at this instrument helped to acquire data that confirmed that the samples did not show considerable aggregation during the neutron measurement. Protein concentrations were 3, 6, 15 and 30 mg/mL. The corresponding buffers, empty cells and references were measured as well. Hellma quartz cells of 1 mm and 2 mm were used for high- and low protein concentrations. The neutron wavelength was set to 4.5 Å, and measurements were performed at 3 detector positions: 2, 8 and 20 m. All measurements have been performed at 10 °C. For the low-concentrated solutions, the background-corrected intensities were linearly extrapolated to infinite dilution to extract the form factor per unit mass. The measured SANS curve of apoMb at pD 2, pD 4 and GdmCl are well-described by a polymer with excluded volume model, while apoMb at pD 6 is globular, thus the corresponding SANS curve is described by a Guinier model. By dividing the SANS curve of the highest concentration by the one at the lowest, the structure factor was obtained.
Neutron spin-echo spectroscopy (NSE)
Solutions of apoMb at pD 2 were investigated at the instrument SNS-NSE, the neutron spin echo spectrometer at the Oak Ridge National Laboratory, Oak Rigde, Tennessee, USA64. It is a time-of-flight instrument: the Larmor precession of the neutron spin in a preparation zone with magnetic field before the sample encodes the individual velocities of the incoming neutrons into a precession angle. The other samples were measured at J-NSE “Phoenix” at MLZ, Garching65. The instrument covers a Q-range of 0.03–1.0 Å−1, reaching Fourier Times of 250–90 ns using 12 and 8 Å neutrons. In the experiments presented here, a Q-range of 0.03–0.15 Å−1 was explored using using 12 and 8 Å neutrons. A graphite powder sample was measured as a scattering reference, followed by the protein sample and the buffer solution. All measurements were performed at 10 °C. NSE data evaluation was performed with the data reduction software DrSPINE66,67.
Viscosimetry
The viscosity of all protein solutions and buffers was measured at 10 °C using a rolling-ball viscometer Lovis 2000 M/ME. Each measurement was performed 3 times and the average value was reported.
UV/VIS spectroscopy
The sample absorption in a cell with a path-length of 0.1 mm (Hellma, Germany) was measured using UV/VIS Spectroscopy (Cary 300). For the very low concentrations (<1 mg/mL), a 5 mm thick quartz Hellma cell was used. The concentrations were determined from the absorption values using the molar extinction coefficient ϵ280nm = 13980 M−1 cm−1 calculated from the amino acid sequence (ExPASy46).
Supplementary information
Acknowledgements
The authors thank Ralf Biehl for the discussions and for the support and the dissemination of the jscatter and jscastterP packages; Judith E. Houston for SANS measurements; Florian Vögl, Simon Staringer, N. Lumma, H. Feilbach, Vladimir Ossovyi and the Jülich mechanics shop for the development and adjustment of the in situ DLS setups at NSE. This work was funded through BMBF Project no. 05K16PA1.
Author contributions
L.B., T.E.S. and A.M.S. conceived and conducted the experiments and analyzed the results, A.R., P.Z., O.H., S.P. supported the experiments as instrument scientists, J.F. contributed to the results interpretation. All authors reviewed the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
is available for this paper at 10.1038/s41598-020-57775-4.
References
- 1.Frauenfelder H, et al. A unified model of protein dynamics. Proc. Natl. Acad. Sci. USA. 2009;106:5129. doi: 10.1073/pnas.0900336106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Jamin M. The folding process of apomyoglobin. Protein Peptide Lett. 2005;12:229. doi: 10.2174/0929866053587174. [DOI] [PubMed] [Google Scholar]
- 3.Pace NC, Vanderburg KE. Determining globular protein stability: guanidine hydrochloride denaturation of myoglobin. Biochem. 1979;18:288–292. doi: 10.1021/bi00569a008. [DOI] [PubMed] [Google Scholar]
- 4.Klecknera IR, Foster MP. An introduction to nmr-based approaches for measuring protein dynamics. Biochim Biophys Acta. 2011;1814:942–968. doi: 10.1016/j.bbapap.2010.10.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ishima R, Torchia D. Protein dynamics from NMR. Nat Struct Biol. 2000;7:740. doi: 10.1038/78963. [DOI] [PubMed] [Google Scholar]
- 6.Schuler B. Probing the dynamics and interactions of disordered proteins with single-molecule spectroscopy. Biophys. J. 2019;116:12a. doi: 10.1016/j.bpj.2018.11.107. [DOI] [PubMed] [Google Scholar]
- 7.Borgia A, et al. Extreme disorder in an ultrahigh-affinity protein complex. Nature. 2018;555:61. doi: 10.1038/nature25762. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Mezei, F., Pappas, C.,& Gutberlet, T. Neutron Spin Echo Spectroscopy- Basics, Trends and Applications, 1st ed. (Springer-Verlag, Berlin Heidelberg, 2003).
- 9.Mezei, F. Neutron spin echo, Proceedings of a Laue-Langevin Institut Workshop Grenoble, 10.1007/3-540-10004-0 (1979).
- 10.Callaway DJ, Farago B, Bu Z. Nanoscale protein dynamics: A new frontier for neutron spin echo spectroscopy. Eur. Phys. J. E. 2013;36:1. doi: 10.1140/epje/i2013-13076-1. [DOI] [PubMed] [Google Scholar]
- 11.Fitter, J., Gutberlet, T.,& Katsaras, J. Neutron Scattering in Biology- Techniques and Applications, 1st ed. (Springer-Verlag, Berlin Heidelberg, 2006).
- 12.Ciepluch K, et al. Influence of pegylation on domain dynamics of phosphoglycerate kinase: Peg acts like entropic spring for the protein. Bioconjugate Chem. 2018;29:1950–1960. doi: 10.1021/acs.bioconjchem.8b00203. [DOI] [PubMed] [Google Scholar]
- 13.Monkenbusch M, et al. Fast internal dynamics in alcohol dehydrogenase. J. Chem. Phys. 2015;143:075101. doi: 10.1063/1.4928512. [DOI] [PubMed] [Google Scholar]
- 14.Alpert Y, et al. Segmental flexibility in pig immunoglobulin g studied by neutron spin-echo technique. Biopolym. 1985;24:1769. doi: 10.1002/bip.360240908. [DOI] [PubMed] [Google Scholar]
- 15.Stingaciu LR, Ivanova O, Ohl M, Biehl R, Richter D. Fast antibody fragment motion: flexible linkers act as entropic spring. Sci. Rep. 2016;6:22148. doi: 10.1038/srep22148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Bu Z, Biehl R, Monkenbusch M, Richter D, Callaway DJE. Coupled protein domain motion in taq polymerase revealed by neutron spin-echo spectroscopy. PNAS. 2005;102:17646–17651. doi: 10.1073/pnas.0503388102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ameseder F, Biehl R, Holderer O, Richter D, Stadler AM. Localised contacts lead to nanosecond hinge motions in dimeric bovine serum albumin. Phys. Chem. Chem. Phys. 2019;21:18477. doi: 10.1039/C9CP01847F. [DOI] [PubMed] [Google Scholar]
- 18.Sill C, et al. Structure and domain dynamics of human lactoferrin in solution and the influence of Fe(iii)-ion ligand binding. BMC Biophysics. 2016;9:7. doi: 10.1186/s13628-016-0032-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Farago B, Li J, Cornilescu G, Callaway DJ, Bu Z. Activation of nanoscale allosteric protein domain motion revealed by neutron spin echo spectroscopy. Biophys J. 2010;99:3473–3482. doi: 10.1016/j.bpj.2010.09.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Stadler AM, et al. Internal nanosecond dynamics in the intrinsically disordered myelin basic protein. J. Am. Chem. Soc. 2014;136:6987–6994. doi: 10.1021/ja502343b. [DOI] [PubMed] [Google Scholar]
- 21.Ameseder F, et al. Relevance of internal friction and structural constraints for the dynamics of denatured bovine serum albumin. J. Phys. Chem. Lett. 2018;9:2469–2473. doi: 10.1021/acs.jpclett.8b00825. [DOI] [PubMed] [Google Scholar]
- 22. Doi, M. & Edwards, S. F. eds The Theory of Polymer Dynamics, 1st ed. (Oxford science publications, Oxford, UK, 1988).
- 23. Teraoka, I. ed. Polymer Solutions: An Introduction to Physical Properties, 1st ed. (John Wiley & Sons, Inc., Oxford, UK, 2002).
- 24.Khatri BS, McLeish TBC. Rouse Model with Internal Friction: A Coarse Grained Framework for Single Biopolymer Dynamics. Macromolecules. 2007;40:6770–6777. doi: 10.1021/ma071175x. [DOI] [Google Scholar]
- 25.Mark C, et al. Polymer Chain Conformation and Dynamical Confinement in a Model One-Component Nanocomposite. Phys. Rev. Lett. 2017;119:047801. doi: 10.1103/PhysRevLett.119.047801. [DOI] [PubMed] [Google Scholar]
- 26.Samanta N, Chakrabarti R. Looping dynamics of a flexible chain with internal friction at different degrees of compactness. Phys. A. 2015;436:377–386. doi: 10.1016/j.physa.2015.05.042. [DOI] [Google Scholar]
- 27.Samanta N, Chakrabarti R. Reconfiguration dynamics in folded and intrinsically disordered protein with internal friction: Effect of solvent quality and denaturant. Phys. A: 450, issue C. 2016;450:165–179. doi: 10.1016/j.physa.2015.12.147. [DOI] [Google Scholar]
- 28.Khatri BS, McLeish TBC. Loop formation and translational diffusion of intrinsically disordered proteins. Phys. Rev. E. 2019;100:052405. doi: 10.1103/PhysRevE.100.052405. [DOI] [PubMed] [Google Scholar]
- 29.Hammouda B. A new guinier-porod model. J. Appl. Cryst. 2010;43:716. doi: 10.1107/S0021889810015773. [DOI] [Google Scholar]
- 30.Nygaard M, Kragelund BB, Papaleo E, Lindorff-Larsen K. An efficient method for estimating the hydrodynamic radius of disordered protein conformations. Biophys. J. 2017;113:550–557. doi: 10.1016/j.bpj.2017.06.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Akcasu A, Han C. Molecular weight and temperature dependence of polymer dimensions in solution. Macrom. 1979;12:276. doi: 10.1021/ma60068a022. [DOI] [Google Scholar]
- 32.Petrescu A-J, Receveur V, Calmettes P, Durand D, Smith JC. Excluded volume in the configurational distribution of a strongly-denatured protein. Prot. Sci. 1998;7:1396. doi: 10.1002/pro.5560070616. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Petrescu A-J, et al. Small-angle neutron scattering by a strongly denatured protein: Analysis using random polymer theory. Biophys. J. 1997;72:335. doi: 10.1016/S0006-3495(97)78672-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Edwards SF. The statistical mechanics of polymers with excluded volume. Proc. Phys. Soc. 1965;85:613. doi: 10.1088/0370-1328/85/4/301. [DOI] [Google Scholar]
- 35.Heyda J, et al. Guanidinium can both cause and prevent the hydrophobic collapse of biomacromolecules. J. Am. Chem. Soc. 2017;139:863–870. doi: 10.1021/jacs.6b11082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Borgia A, et al. Consistent view of polypeptide chain expansion in chemical denaturants from multiple experimental methods. J. Am. Chem. Soc. 2016;138:11714–11726. doi: 10.1021/jacs.6b05917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Huerta-Viga A, Woutersen S. Protein denaturation with guanidinium: A 2d-ir study. J. Phys. Chem. Lett. 2013;4:3397–3401. doi: 10.1021/jz401754b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Eliezer D, et al. Evidence of an associative intermediate on the myoglobin refolding pathway. Biophys. J. 1993;65:912. doi: 10.1016/S0006-3495(93)81124-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Flory, P. Principles of Polymer Chemistry, 1st ed. (Cornell University Press, Ithaca and London, 1953).
- 40.de Gennes, P.-G. Scaling Concepts in Polymer Physics, 1st ed. (Cornell University Press, Ithaca and London, 1979).
- 41.Baumgartner A, Binder K. Monte carlo studies on the freely jointed polymer chain with excluded volume interaction. J. Chem. Phys. 1979;71:2541. doi: 10.1063/1.438608. [DOI] [Google Scholar]
- 42.Belloni L. Colloidal interactions. J. Phys.: Condens. Matter. 2000;12:R549. [Google Scholar]
- 43.Hansen J-P, Hayter JB. A rescaled msa structure factor for dilute charged colloidal dispersions. Molecular Physics: An International Journal at the Interface Between Chemistry and Physics. 1982;46:651. doi: 10.1080/00268978200101471. [DOI] [Google Scholar]
- 44.Biehl, R. Jscatter, a program for evaluation and analysis of experimental data, PLoS One (2019). [DOI] [PMC free article] [PubMed]
- 45.Hayter JB, Penfold J. An analytic structure factor for macroion solutions. Mol. Phys. 1981;42:109. doi: 10.1080/00268978100100091. [DOI] [Google Scholar]
- 46.Gasteiger E. Expasy: the proteomics server for in-depth protein knowledge and analysis. Nucl. Acids Res. 2003;31:3784. doi: 10.1093/nar/gkg563. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ortega DAA, de la Torre JG. Prediction of hydrodynamic and other solution properties of rigid proteins from atomic- and residue-level models. Biophys. J. 2011;101:892. doi: 10.1016/j.bpj.2011.06.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Richter, D. Neutron Spin Echo in Polymer Systems, 1st ed. (Springer-Verlag, Berlin Heidelberg, 2005).
- 49.Biehl, M. M. R.,& Richter, D. Exploring internal protein dynamics by neutron spin echo spectroscopy, Soft Matter, 1299 (2011).
- 50.Stadler AM, Koza MM, Fitter J. Determination of conformational entropy of fully and partially folded conformations of holo- and apomyoglobin. J. Phys. Chem. B. 2015;119:72. doi: 10.1021/jp509732q. [DOI] [PubMed] [Google Scholar]
- 51.Hinsen K. Analysis of domain motions by approximate normal mode calculations. Proteins. 1998;33:417–29. doi: 10.1002/(SICI)1097-0134(19981115)33:3<417::AID-PROT10>3.0.CO;2-8. [DOI] [PubMed] [Google Scholar]
- 52.Hinsen K, A.-J. P, Dellerue S, Bellissent-Funel M-C, G.R. K. Harmonicity in slow protein dynamics. Chem Phys. 2000;261:25–37. doi: 10.1016/S0301-0104(00)00222-6. [DOI] [Google Scholar]
- 53.Hinsen K. The molecular modeling toolkit: A new approach to molecular simulations. J Comput Chem. 2000;21:79–85. doi: 10.1002/(SICI)1096-987X(20000130)21:2<79::AID-JCC1>3.0.CO;2-B. [DOI] [Google Scholar]
- 54.Soranno A, Zosel F, Hofmann H. Internal friction in an intrinsically disordered protein-comparing rouse-like models with experiments. J Chem Phys. 2018;148:123326. doi: 10.1063/1.5009286. [DOI] [PubMed] [Google Scholar]
- 55.Pradeep L, Udgaonkar JB. Diffusional Barrier in the Unfolding of a Small Protein. J. Mol. Biol. 2007;366:1016–1028. doi: 10.1016/j.jmb.2006.11.064. [DOI] [PubMed] [Google Scholar]
- 56.Zheng W, Hofmann H, Schuler B, Best RB. Origin of internal friction in disordered proteins depends on solvent quality. J. Phys. Chem. B. 2018;122:11478. doi: 10.1021/acs.jpcb.8b07425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Stadler AM, Demmel F, Ollivier J, Seydel T. Picosecond to nanosecond dynamics provide a source of conformational entropy for protein folding. Phys. Chem. Chem. Phys. 2016;18:21527. doi: 10.1039/C6CP04146A. [DOI] [PubMed] [Google Scholar]
- 58.Yu H, Siewny MGW, Edwards DT, Sanders AW, Perkins TT. Hidden dynamics in the unfolding of individual bacteriorhodopsin proteins. Science. 2017;355:945–950. doi: 10.1126/science.aah7124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Seelig J. Cooperative protein unfolding. A statistical-mechanical model for the action of denaturants. Biophysical Chemistry. 2018;233:19–25. doi: 10.1016/j.bpc.2017.12.001. [DOI] [PubMed] [Google Scholar]
- 60.Rothgeb T, F. G. Physical methods for the study of myoglobins. Methods Enzymol. 1978;52:473. doi: 10.1016/S0076-6879(78)52052-1. [DOI] [PubMed] [Google Scholar]
- 61.Micsonai A. Bestsel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra. Nucl. Acids Res. 2018;46:W315. doi: 10.1093/nar/gky497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Balacescu, L. et al. In situ dynamic light scattering complementing neutron spin echo measurements on protein samples, Journal of Surface Investigation: X-ray, Synchrotron and Neutron Techniques (2019).
- 63. Heinz Maier-Leibnitz Zentrum, Kws-2: Small angle scattering diffractometer, JLSRF1, A29 (2015).
- 64.Holderer O, Zolnierczuk P, Pasini S, Stingaciu L, Monkenbusch M. A better view through new glasses: Developments at the jülich neutron spin echo spectrometers. Physica B. 2019;562:9. doi: 10.1016/j.physb.2018.11.021. [DOI] [Google Scholar]
- 65.Pasini S, Holderer O, Kozielewski T, Richter D, Monkenbusch M. J-nse-phoenix, a neutron spin-echo spectrometer with optimized superconducting precession coils at the mlz in garching. Rev. Sci. Ins. 2019;90:043107. doi: 10.1063/1.5084303. [DOI] [PubMed] [Google Scholar]
- 66.Zolnierczuk PA, et al. Efficient data extraction from neutron time-of-flight spin-echo raw data. J. Appl. Chrys. 2019;52:1. doi: 10.1107/S1600576718018009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Zolnierczuk PA, Holderer O, Monkenbusch M. DrSPINE: Data reduction for SPIN echo experiments. AIP Conference Proceedings. 2018;1969:050003. doi: 10.1063/1.5039300. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.