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Abstract
Understanding of protein structure and stability gained to date has been acquired through investigations made under dilute conditions where total macromolecular concentration never surpasses 10 g l−1. However, biological macromolecules are known to evolve and function under crowded intracellular environments that comprises of proteins, nucleic acids, ribosomes and carbohydrates etc. Crowded environment is known to result in altered biological properties including thermodynamic, structural and functional aspect of macromolecules as compared to the macromolecules present in our commonly used experimental dilute buffers (for example, Tris HCl or phosphate buffer). In this study, we have investigated the thermodynamic and structural consequences of synthetic crowding agent (Ficoll 70) on three different proteins (Ribonuclease-A, lysozyme and holo α-lactalbumin) at different pH values. We report here that the effect of crowding is protein dependent in terms of protein thermal stability and structure. We also observed that the structural characteristics of the denatured state determines if crowding will have an effect or not on the protein stability.
Citation: Mittal S, Singh LR (2013) Denatured State Structural Property Determines Protein Stabilization by Macromolecular Crowding: A Thermodynamic and Structural Approach. PLoS ONE 8(11): e78936. https://doi.org/10.1371/journal.pone.0078936
Editor: Rajagopal Subramanyam, University of Hyderabad, India
Received: August 12, 2013; Accepted: September 26, 2013; Published: November 12, 2013
Copyright: © 2013 Mittal, Singh. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work is supported by grant from Department of Science and Technology (Ref No.: SR/SO/BB-0003/2011). LRS and SM acknowledge Council of Scientific and Industrial Research for the financial assistance provided in the form of research fellowship (File No.: 09/045(1047)/2011-EMR-1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Most solvent environments used traditionally to study basic biological processes including protein folding, enzyme activity, structural allostery etc were performed under highly dilute conditions as compared to the highly crowded intracellular environment wherein proteins perform their biological functions [1], [2]. Indeed, the cell interior is known to be densely populated due to the presence of soluble and insoluble macromolecules (proteins, nucleic acids, ribosomes and carbohydrates etc) [1], [3], [4], which together make the intracellular environment “crowded” or “volume-occupied” rather than “concentrated” [3], [5], [6], [7]. These macromolecules collectively occupy ∼10–40% (a substantial fraction of the intracellular space) of the total fluid volume, restricting the volume available to other macromolecules present. Crowded environment therefore, results in altered biological processes including thermodynamic, functional and structural properties of macromolecules as compared to the macromolecules present in dilute buffers. Thus, it is important to perform studies under conditions that mimic the environment of the crowded intracellular milieu to have a more realistic insight of the in vivo scenario. Nowadays availability of synthetic crowding agents (like Ficoll, Dextran etc) has made it possible to investigate the effect of macromolecular crowding on the properties of macromolecules.
Effect of macromolecular crowding on protein structure and stability has been widely investigated [8], [9], [10], [11], [12]. However, majority of the earlier studies investigating the effect of crowding on protein structure and stability were largely focused on intrinsically disordered proteins (IDPs) or under denaturing (and hence aggregating) experimental conditions [13], [14], [15], [16], [17], [18], [19], because it is commonly believed that the phenomenon of crowding mainly acts on the less compact, unfolded state rather than the more compact native state [5], [20], [21], [22]. Very few data are available in the literature about the effect of crowding on native state of proteins. Observations made so far on some proteins suggest that crowding increases native state structure, stability [8], [10], [11], [23], [24], and even induce shape changes in certain proteins [25], [26]. However, recently macromolecular crowding has also been shown to have opposite influence on certain proteins i.e., it induces structural and thermodynamic destabilization [27], [28], [29]. Therefore, the possible effect of macromolecular crowding on the native state structure and stability of proteins has not been properly understood. In the present communication using thermodynamic and structural approach, we investigated the effect of macromolecular crowding (using Ficoll 70) on the native state of three proteins (Ribonuclease-A, lysozyme and holo α-lactalbumin) having different physico-chemical properties. We discovered that the effect of macromolecular crowding is protein dependent in terms of native state structure and stability. We also observed that the structural characteristic of the denatured state of the protein determines whether crowding will have a stabilizing effect or not on protein stability.
Materials and Methods
2.1. Materials
Commercially lyophilized preparations of Ribonuclease-A (RNase-A; from bovine pancreas), lysozyme (from chicken egg white), and holo α-Lactalbumin (α-LA; from bovine milk) were purchased from Sigma Chemical Co. Ficoll 70, N-Acetyl-L-tryptophanamide (NATA) and sodium salt of cacodylic acid were also obtained from Sigma Chemical Co. Potassium chloride and sodium acetate were obtained from Merck. Guanidinium chloride (GdmCl) was the ultrapure sample from MP Biomedicals. These and other chemicals, which were of analytical grade, were used without further purification.
2.2. Analytical Procedures
RNase-A, lysozyme and α-LA solutions were dialyzed extensively against 0.1 M KCl at pH 7.0 in cold (∼4°C). Protein stock solutions were filtered using 0.22-µm millipore filter paper. All the proteins gave a single band during polyacrylamide gel electrophoresis. Concentration of the protein solutions was determined experimentally using ε, the molar absorption coefficient values of 9800 M−1 cm−1 at 277.5 nm for RNase-A [30], 39000 M−1 cm−1 at 280 nm for Lysozyme [31], and 29210 M−1 cm−1 at 280 nm for α-LA [32]. The concentration of GdmCl stock solution was determined by refractive index measurements [33]. All solutions for optical measurements were prepared in the desired degassed buffer. For various pH ranges, the buffers used were 0.05 M acetate buffer (pH range 4.0–5.0) and 0.05 M cacodylic acid buffer containing 0.1 M KCl (pH range 6.0–7.0). Special care was taken to mix all solutions due to the high viscosity of Ficoll 70. Since pH of the protein solution may change on the addition of co-solvents, pH of each solution was also measured after the denaturation experiments. It should, however, be noted that no corrections were made for the possible effect of co-solvents on the observed pH of protein solutions.
2.3. Thermal Denaturation Studies
Thermal denaturation studies were carried out in a Jasco V-660 UV/Visible spectrophotometer equipped with a Peltier-type temperature controller at a heating rate of 1°C per minute. This scan rate was found to provide adequate time for equilibration. Each sample was heated from 20 to 85°C. The change in absorbance with increasing temperature was followed at 287 nm for RNase-A, 300 nm for lysozyme and 295 nm for α-LA. About 650 data points of each transition curve were collected. Measurements were repeated three times. After denaturation, the protein sample was immediately cooled down to measure reversibility of the reaction. Each heat-induced transition curve was analyzed for Tm (midpoint of denaturation) and ΔHm (denaturational enthalpy change at Tm) using a non-linear least-squares method according to the relation (Equation 1),(1)where y(T) is the optical property at temperature T (Kelvin), yN(T) and yD(T) are the optical properties of the native and denatured protein molecules at T K, respectively, and R is the gas constant. In the analysis of the transition curve, it was assumed that a parabolic function describes the dependence of the optical properties of the native and denatured protein molecules (i.e. yN(T) = aN+bNT+cNT2 and yD(T) = aD+bDT+cDT2, where aN, bN, cN, aD, bD, and cD are temperature-independent coefficients) [34]. A plot of ΔHm versus Tm at each concentration of Ficoll 70 gave the value of ΔCp, the change in heat capacity at constant pressure. The value of ΔGD at any temperature T, ΔGD(T), was estimated with the help of the Gibbs-Helmholtz equation (Equation 2) with values of ΔHm, Tm and ΔCp.
(2)
2.4. Circular Dichroism (CD) Measurements
CD measurements were made in a Jasco J-810 spectropolarimeter equipped with a Peltier-type temperature controller with six accumulations. Protein concentration used for the CD measurements was 0.5 g/l. Cells of 0.1 and 1.0 cm path length were used for the measurements of the far- and near-UV spectra, respectively. Necessary blanks were subtracted. The CD instrument was routinely calibrated with D-10-camphorsulfonic acid.
2.5. Fluorescence Measurements
Fluorescence spectra were measured in a PerkinElmer LS 55 Spectrofluorimeter in a 3 mm quartz cell, with both excitation and emission slits set at 10 nm. Protein concentration for all the experiments was 2 µM for lysozyme; 5 µM for RNase-A and α-LA. The concentration of NATA was 2 µM. For RNase-A, the excitation wavelength was 268 nm, while the emission spectra were recorded from 290–400 nm. Lysozyme, α-LA and NATA were excited at 280 nm and the emission spectra were recorded in the wavelength region 300–500 nm.
Results
RNase-A, lysozyme and α-LA were selected because these proteins have been extensively characterized in terms of their chemical and thermal unfolding behaviours in dilute solutions. These proteins vary in their hydrophobicity index, ranging from 780 for RNase-A, 890 for lysozyme to 1050 for α-LA; and pI values are in the range of 9.5 for RNase-A, 10.7 for lysozyme to 5.0 for α-LA. The crowding agent selected for this study was Ficoll 70 for the following properties; it is a compact and highly cross-linked and branched copolymer of sucrose and epichlorohydrin that behaves like a semirigid sphere. It is inert, polar and does not interact with proteins, thus making it widely accepted as a test system for isolating effects of macromolecular crowding created by globular macromolecules found in the biological setting where proteins normally perform their function [35], [36], [37].
Heat-induced denaturation studies of the three proteins were carried out in the presence of different Ficoll 70 concentrations (0, 100, 200, 300 and 400 g/l) at different pH values (7.0, 6.0, 5.0 and 4.0) by following the changes in absorbance at 287 nm for RNase-A, 300 nm for lysozyme and 295 nm for α-LA as a function of temperature. We could not go beyond pH 4.0 as Ficoll becomes unstable or gets hydrolyzed below pH 3.0 (see webpage of GE Healthcare Life Sciences). Denaturation of each protein was reversible in the entire range of [Ficoll 70], the molar concentration of Ficoll 70. However, it is also important to note that we observed visible precipitation of α-LA at pH 5.0 and below in the presence of Ficoll 70 concentration greater than 300 g/l. Therefore, we could not obtain reversible heat-induced transition curves under these experimental conditions in case of α-LA. Figure 1 (left panel) and Figure 2 (left panel) shows representative heat-induced denaturation profiles of RNase-A, lysozyme and α-LA at pH 7.0 and pH 4.0 respectively. In the case of lysozyme, complete transition curves could not be obtained in the measurable temperature range at the given pH values. In order to bring down transition curves in the measurable temperature range, 1.5 M GdmCl was added to the samples. Therefore, the transition curves shown in Figures 1 (left panel) and 2 (left panel) for lysozyme are the curves obtained in the presence of GdmCl. Each denaturation curve of a protein at a given [Ficoll 70] was analyzed for ΔHm and Tm using a nonlinear least-squares method that involves fitting the entire data of the transition curve to equation (1) with all eight free parameters (aN, bN, cN, aD, bD, cD, ΔHm and Tm). Table 1 shows values of ΔHm and Tm of all the three proteins in the absence and presence of different [Ficoll 70] at all the pH values. Figure 1 (right panel) and Figure 2 (right panel) shows plots of ΔTm versus [Ficoll 70] at pH 7.0 and pH 4.0 respectively for all the three proteins; ΔTm is the difference between Tm values in the presence and absence of different [Ficoll 70]. It is seen in Figure 1 (right panel) and Table 1 that the Tm of all the proteins remains unperturbed in the presence of Ficoll 70 at physiological pH. However, Tm of the proteins at pH 4.0 in the presence of Ficoll 70 was differently affected.
Denaturation curves of RNase-A (A), lysozyme (B) and α-LA (C) in the absence and presence of various Ficoll 70 concentrations at pH 7.0 (left panel). In order to maintain clarity, only the transition curves obtained in the presence of 200 and 400 g/l of Ficoll 70 are shown. Plots of ΔTm versus [Ficoll 70] for RNase-A (D), lysozyme (E) and α-LA (F) at the indicated pH (right panel).
Denaturation curves of RNase-A (A), lysozyme (B) and α-LA (C) in the absence and presence of various Ficoll 70 concentrations at pH 4.0 (left panel). In order to maintain clarity, only the transition curves obtained in the presence of 200 and 400 g/l of Ficoll 70 are shown. In case of α-LA, curves for 100 g/l and 200 g/l Ficoll 70 has been shown as we could not obtain transition curves at higher [Ficoll 70] (see “Results” for detail). Plots of ΔTm versus [Ficoll 70] for RNase-A (D), lysozyme (E) and α-LA (F) at the indicated pH (right panel).
Table 1 also shows ΔCp values obtained from the analyses of the plots of ΔHm versus Tm at 4 different pH values in the absence and presence of different [Ficoll 70]. Using the measured values of ΔHm, Tm and ΔCp, ΔGDo values (the value of ΔGD at 25°C) in the presence and absence of Ficoll 70 were also estimated using equation (2). The values of ΔGDo estimated in such manner are presented in Table 1. It is seen in Table 1 that similar to the effect of Ficoll 70 on Tm, the ΔGDo values are also not significantly perturbed at physiological pH. Surprisingly, the ΔGDo values of the protein are perturbed differently at pH 4.0. We, therefore conclude that protein stability (in terms of Tm and ΔGDo) at physiological conditions is not influenced by macromolecular crowding.
To further investigate for the effect of pH on Ficoll 70 induced protein stabilization, we have plotted percent stabilization (%ΔΔGDo) by Ficoll 70 versus percent destabilization by pH (Figure 3); %ΔΔGDo represents the difference between ΔGDo values in the presence and absence of Ficoll 70 (400 g/l for RNase-A and lysozyme; 200 g/l for α-LA). For the estimation of percent stabilization (ΔΔGDo) by Ficoll 70 and percent destabilization by pH, see legend to Figure 3. It is seen in Figure 3 that %ΔΔGDo values are increased due to the effect of Ficoll 70 on RNase-A and α-LA with increasing destabilization by pH. But, no such effect is observed in the case of lysozyme. It is important to note that in the case of lysozyme, %ΔΔGDo remains unperturbed even if we destabilize the protein by lowering the pH upto 4.0. The results indicate that crowding has different thermodynamic effects on the three different proteins depending on the properties of the proteins chosen.
Plots of percent stabilization (%ΔΔGDo) by Ficoll 70 versus percent destabilization by pH of RNase-A (A), lysozyme (B) and α-LA (C) in the presence of 400 g/l Ficoll 70 (200 g/l in case of α-LA). For the estimation of percent Ficoll 70 stabilization (%ΔΔGDo), we show a model calculation. %ΔΔGDo of RNase-A in the presence of 400 g/l Ficoll 70 at pH 4.0 = 100×[(ΔGDo in the presence of 400 g/l Ficoll 70–ΔGDo in the absence of Ficoll 70)/ΔGDo in the absence of Ficoll 70)] = 100×[(8.15–7.13)/7.13] = 14.31. Percent destabilization at any pH × with respect to the most stable pH condition (pH 6.0 for α-LA and pH 7.0 for RNase-A or lysozyme) is equal to 100×(ΔGD(pH y)–ΔGD(pH x)/ΔGD(pH y)). Thus, percent destabilization of RNase-A at pH 4.0 = 100×(9.08–7.13)/9.08 = 21.
The effect of crowding on the structural properties of denatured state (D-state) of the proteins was then investigated using far-UV CD at pH 7.0 and pH 4.0. Figure 4 shows the effect of increasing [Ficoll 70] on the structural properties of the D-state of all the 3 proteins. The CD spectra of all the three proteins under dilute conditions are reminiscent of an unfolded protein. Addition of Ficoll 70 reflects a gain in secondary structure in the case of RNase-A and α-LA at both the pH values. In contrast, crowding is observed not to perturb the D-state structure significantly in case of lysozyme at both pH values suggesting that crowding affects the D-state structure of different proteins differently. We further examined for the possible alteration in the native state structure of proteins due to the presence of Ficoll 70 at pH 7.0 and 4.0. For this, we measured far-UV CD (Figure 5), near-UV CD (Figure 6) and tyr/trp fluorescence (Figure S1). Left panels represent measurements at pH 7.0, while right panels represent measurements at pH 4.0 for Figures 5, 6 and 7. It is seen in these figures that Ficoll 70 has different effects on lysozyme as compared to RNase-A and α-LA in terms of secondary and tertiary structures at both the pH values. The structural measurements therefore, indicate that crowding has different effects on the N-state structural properties of different proteins. Control experiments with NATA were also performed to ensure that the crowding effects observed on the fluorescence spectral properties of the three proteins are not simply a solvent effect (Figure S2).
Far-UV CD spectra of the denatured state of RNase-A (A), lysozyme (B) and α-LA (C) in the absence and presence of various Ficoll 70 concentrations at pH 7.0 (left panel). Far-UV CD spectra of the denatured state of RNase-A (D), lysozyme (E) and α-LA (F) in the absence and presence of various Ficoll 70 concentrations at pH 4.0 (right panel). The far-UV CD of lysozyme was measured in the absence of GdmCl.
Far-UV CD spectra (at 25°C) of the native states of RNase-A (A), lysozyme (B) and α-LA (C) in the absence and presence of various Ficoll 70 concentrations at pH 7.0 (left panel). Far-UV CD spectra (at 25°C) of the native states of RNase-A (D), lysozyme (E) and α-LA (F) in the absence and presence of various Ficoll 70 concentrations at pH 4.0 (right panel).
Near-UV CD spectra (at 25°C) of the native states of RNase-A (A), lysozyme (B) and α-LA (C) in the absence and presence of various Ficoll 70 concentrations at pH 7.0 (left panel). Near-UV CD spectra (at 25°C) of the native states of RNase-A (D), lysozyme (E) and α-LA (F) in the absence and presence of various Ficoll 70 concentrations at pH 4.0 (right panel).
(A) Efficient folding of polypeptides due to formation of a preorganized denatured state under crowded conditions; (B) Inefficient folding of polypeptides due to lack of preorganized structure formation. Solid circles represent crowder molecules.
Discussion
Effect of Ficoll 70 on the stability of three different proteins (RNase-A, lysozyme and α-LA) was determined by measuring the heat-induced denaturation of the proteins, for which change in ΔAλ, the difference in absorbance at the wavelength λ; ΔA287 for RNase-A, ΔA300 for lysozyme and ΔA295 for α-LA was monitored. Analysis of a thermal denaturation curve according to equation (1) assumes that the denaturation follows a two-state mechanism. It is indeed true for all the three proteins in the absence of Ficoll 70 [38], [39]. To check whether the two-state assumption is valid in the presence of Ficoll 70, the heat-induced denaturation of RNase-A, lysozyme and α-LA in the presence of 400 g/l Ficoll 70 (except at pH 5.0 and below for α-LA) were monitored by two different optical techniques, namely, mean residue ellipticity at 222 nm ([θ]222) which measures the change in the peptide backbone conformation (denaturation curves not shown), and change in absorbance (ΔAλ) (representative curves at two different pH values are shown in Figures 1 and 2; left panel), which measures the change in the tyr/trp environment. The concentration of Ficoll 70 used for α-LA at pH 5.0 and below were 200 g/l as the protein got precipitated in the presence of 400 g/l Ficoll 70 at these pH values. We compared ΔHm and Tm values obtained from absorbance measurements with those obtained from [θ]222 measurements. Both measurements gave, within experimental errors, identical values of these thermodynamic parameters (Table S1). Thus, a two-state assumption for thermal denaturation of RNase-A, lysozyme and α-LA in the presence of Ficoll 70, is valid.
Because the thermodynamic parameters of proteins reported here are obtained by an indirect method based on equilibrium denaturation, it is, therefore, necessary to validate them against those obtained directly by a thermodynamic method. Indeed ΔHm, Tm and ΔCp of proteins in the absence of Ficoll 70 (see Table 1) are in excellent agreement with those obtained from differential scanning calorimetry measurements [38], [40]; for example, the calorimetric values of ΔCp are 1.22, 1.60 and 1.36 kcal mol−1 K−1 for RNase-A, lysozyme and α-LA respectively. This agreement led us to believe that our measurements of transition curves and our analysis of these curves for thermodynamic parameters are authentic and accurate.
At a constant pH and Ficoll 70 concentration, ΔGDo was estimated using equation (2) with known values of ΔHm, Tm and ΔCp. However, this estimation requires a large extrapolation. Hence, a large error may be associated with ΔGDo determination due to errors in the estimations of ΔHm, Tm and ΔCp. We have used Becktel and Schellman’s procedure [41] to determine the maximum and minimum errors associated with the ΔGDo determination at a given solvent condition. This procedure involves the estimation of ΔGDo of proteins using the maximum and minimum fitting parameter errors of ΔHm and ΔCp (one with maximum error in ΔHm and minimum error in ΔCp and the other with minimum error in ΔHm and maximum error in ΔCp) obtained from the analysis of individual denaturation curves to yield two different ΔGDo values (one minimum and one maximum). Because there were three independent measurements of ΔHm and Tm of a protein at the given pH and [Ficoll 70], we obtained six values of ΔGDo (three maximum and three minimum values). All of these six values were used to determine the average ΔGDo and the mean error. It was observed that the mean error associated with the ΔGDo estimation was in the range 6–9% for all proteins.
It is seen in Table 1 that Ficoll 70 has no significant effect on the thermodynamic stability of all the three proteins at pH 7.0 revealing that addition of Ficoll 70 to protein solutions does not alter either Tm (see Figure 1) or ΔGDo of the proteins. Currently, the influence of macromolecular crowding on protein stability is explained based on two types of interactions – hard core repulsion (or volume exclusion) and soft interactions (non-specific chemical interactions) [24]. Hard-core repulsions decrease the space available to the protein under study thereby increasing protein stability. On the other hand, soft interactions can be attractive (destabilizing) or repulsive (stabilizing). Attractive interactions are destabilizing while repulsive interactions are stabilizing [24]. Therefore, the observed effect (no change in ΔGDo in the presence of crowding agent) on the three proteins used in this study might be due to a perfect balance between the stabilizing and destabilizing interactions between the protein and crowder molecules. Interestingly, it has previously been shown that stabilizing hard-core repulsions can be completely offset by destabilizing soft interactions between the test protein and the crowder molecules [42]. In contrast to the present finding, studies performed earlier showed that macromolecular crowding increases thermodynamic stability of proteins. However, most of these earlier studies were largely confined to denaturing solvent conditions [14], [15], [17], [18], [19], [43]. Interestingly, the proteins used in this study were relatively more stable than those reported earlier for the effect of macromolecular crowding. We therefore speculated that Ficoll 70 will have stabilizing effect on the three proteins under conditions that populate large number of unfolded molecules. In this spirit, we intentionally destabilize the proteins by lowering pH. It is seen in Figure 2 that Ficoll 70 has a stabilizing influence on RNase-A and α-LA at pH 4.0. Results shown in Figure 3a and 3c also indicate that greater the destabilization of RNase-A and α-LA, larger is the stabilizing effect of Ficoll 70 confirming that our hypothesis is indeed true. In addition, the observed precipitation of α-LA at higher concentrations of Ficoll 70 (300 g/l and above) at pH 5.0 and below might be due to availability of limited volume (as a consequence of excluded volume effect) to accommodate large amounts of unfolded molecules. However, the thermal denaturation profiles and the measured thermodynamic parameters of lysozyme at low pH values remains practically unchanged upon addition of Ficoll 70 relative to that in dilute aqueous solutions, suggesting that it experiences no or little, if any, crowding effect (Figure 2b and Table 1). It may be noted that the extent of destabilization of lysozyme at pH 4.0 relative to pH 7.0 is almost the same as that of RNase-A and therefore, increase in protein stability in the presence of Ficoll 70 is expected (Figure 3). Thus, the thermodynamic measurements on the three proteins revealed that the effect of macromolecular crowding is protein-crowder system dependent. It is speculated that due to difference in the chemical nature among proteins, different proteins interact differently with crowder because of different extents of hard and soft interactions, leading to perfect balance between the two interactions (e.g., in case of lysozyme) or overwhelming repulsive interactions (e.g., in case of RNase-A and α-LA) yielding a protein-crowder system dependent thermodynamic stability.
The pH-dependent effect of Ficoll 70 on the thermodynamic stability of both RNase-A and α-LA and no effect on lysozyme led us to believe that denatured state of the proteins might play a role towards the stabilizing influence of Ficoll 70. To verify this possibility, we heat denature each of the three proteins at 85°C and measured far-UV CD (a signature of secondary structural content) spectra of the proteins in the presence of different concentrations of Ficoll 70 (Figure 4) at pH 7.0 and pH 4.0. In agreement to our thermodynamic data, we observed that there is an increase in the residual structure of the heat denatured state upon addition of Ficoll 70 in case of both RNase-A and α-LA at both the pH values (Figures 4a, 4c, 4d and 4f) indicating that excluded volume effect can induce structure in the denatured state. Similar to our results, it has been shown that crowding induces structural enhancement in the unfolded/denatured state of various proteins [14], [15]. However, in case of lysozyme (Figure 4b and 4e) there is no increase in residual structure in the presence of Ficoll 70 suggesting that excluded volume effect could not induce structure in the heat denatured state. The observed effect of crowding on lysozyme is also in agreement with earlier report on other proteins including flavodoxin and VlsE [23]. We, therefore conclude that the concept of macromolecular crowding to induce protein folding by acting on floppy denatured state is not universally true. Interestingly, it has been demonstrated that the mutant of immunoglobulin G binding domain of protein L (ProtL) failed to fold inside Escherichia coli but is otherwise capable of folding in the presence of salts under dilute aqueous conditions [44]. Further investigations made so far to understand the effect of macromolecular crowding on various IDPs showed that crowding induces compaction without any structural gain in some IDPs [16], [45] while having no such effect on many other IDPs [44], [46], [47], [48]. In another development, crowding was also shown to induce structure only in the C-terminal half of FlgM, while the other part remains unstructured [13]. These evidences and our findings clearly indicate that crowding-induced effect on the different denatured states (or on different IDPs) might depend on the primary sequence (due to different structural characteristics) of the polypeptide chain.
At present we do not yet have any concrete explanation for the differential effect of crowding (Ficoll 70) on thermal stability of the three proteins at pH 4.0. However, it has been observed earlier that formation of pre-organized structure in the denatured state helps to nucleate folding process and also fasten up the rate of refolding process [49], [50]. The existence of such apparent pre-organized structures (or local structuring) are clearly seen in case of RNase-A and α-LA in the presence of Ficoll 70 but is absent in lysozyme. It might be possible that the energy barrier for the formation of pre-organized structure is quite higher for lysozyme than that of RNase-A and α-LA. Therefore, under crowded condition lysozyme must fold via random search while RNase-A and α-LA through a nucleation process resulting in inefficient folding in case of lysozyme and better folding in case of both RNase-A and α-LA (see Figure 7). Interestingly, refolding of oxidized lysozyme in the presence of Ficoll 70 decreases folding efficiency to ∼90% [9], while the refolding efficiency of RNase-A in the presence of crowding agent is increased by ∼20% relative to the dilute buffer [15]. Although many small globular proteins are known to fold spontaneously in a two state manner without the assistance of chaperones in vitro [51], [52], [53], our study indicates that some of such small globular proteins may require the assistance of chaperones to fold efficiently in vivo.
To further investigate the effect of macromolecular crowding on the native state structure, we have measured the far-UV CD, near-UV CD (a measure of gross tertiary interactions) and tyr/trp fluorescence at both pH 7.0 and 4.0. We found that Ficoll 70 alters the native state structure of the proteins differently at physiological pH (pH 7.0). In terms of secondary structure (Figure 5; left panel), Ficoll 70 does not have significant effect on lysozyme while having enhanced structural effect on both RNase-A and α-LA. In terms of tertiary interactions based on near-UV CD (Figure 6; left panel) and tyr/trp fluorescence (Figure S1; left panel), Ficoll 70 appears to have destabilizing influence on lysozyme while increasing the structural content of RNase-A and α-LA. It may be noted that changes in the spectral properties of the near-UV CD and fluorescence measurements might not be due to structural shifts but a representation of solvent effects. To verify this possibility, we measured NATA fluorescence in the absence and presence of 400 g/l Ficoll 70 (Figure S2). It has been observed that there was no significant change in the spectral properties of NATA under dilute and crowded conditions. The results led us to believe that the increase/decrease in λmax of the proteins under crowded conditions is truely due to structural alterations (not a solvent effect). In agreement to our observations on lysozyme, many proteins have been reported to have increased conformational fluctuations in the presence of macromolecular crowding relative to the dilute aqueous buffers [27], [28], [29], [54], [55], [56]. Since, Ficoll 70 is found to alter the native state secondary and tertiary structures of the proteins, the insignificant effect of Ficoll 70 on the thermodynamic stability of the proteins at pH 7.0 might not be related to the structural alterations induced by Ficoll 70. It is speculated that Ficoll 70 introduces some new secondary or tertiary structure in RNase-A or α-LA that are co-operatively unfolded upon denaturation leading to no significant change in the thermal stability of the proteins. On the other hand, in the case of lysozyme, the tertiary interactions that are lost in the native state structure in the presence of Ficoll 70 might not contribute much to the thermodynamic stability of the protein, thereby leaving the thermodynamic stability unperturbed.
At pH 4.0 where ΔGDo values of RNase-A and α-LA are increased in the presence of Ficoll 70 (Table 1), the tertiary interactions of both the proteins are increased although there is no significant effect on the secondary structures of the proteins (see Figures 5, 6; right panel). The results indicate that increase in tertiary structure of the proteins might have some contribution towards the increase in thermodynamic stability of the proteins by Ficoll 70 at pH 4.0. However, lysozyme shows destabilization in tertiary structure (as evidenced by the near-UV CD measurements) but the ΔGDo remains unchanged suggesting that the native state structural changes might not be the direct consequence of having no significant effect on the thermodynamic stability of lysozyme. Therefore, it is highly unlikely that the native state structural increment will contribute towards the increase in ΔGDo of proteins at pH 4.0 in case of RNase-A and α-LA. Taken together, the results indicate that (i) Structural consequences of macromolecular crowding are protein-crowder system dependent, (ii) The native state structural changes do not contribute to the thermodynamic stability of the proteins.
Conclusion
In summary now we are sure of at least two things: (i) the structural and thermodynamic consequences of macromolecular crowding are protein-crowder system dependent, and (ii) the structural characteristic of the denatured state determines if macromolecular crowding will have an effect or not on the protein stability. It is well known that cells have various proteins having different structural and thermodynamic characteristics. Therefore, the effect of macromolecular crowding cannot be generalized based on studies available on certain proteins. It is speculated that IDPs, being natively unfolded may serve as a good model for denatured state of proteins and hence for crowding-induced protein folding. Effect of macromolecular crowding has been investigated on few IDPs, much still remains unexplored. Future research should focus on crowding-induced folding of many natively unfolded proteins and their structural regulation as it is possible that macromolecular crowding affects the structural regulation of natively unfolded proteins.
Supporting Information
Figure S1.
Effect of Ficoll 70 on the intrinsic fluorescence of the native state of proteins. Tyr/trp fluorescence (at 25°C) of RNase-A (A), lysozyme (B) and α-LA (C) in the absence and presence of 400 g/l Ficoll 70 at pH 7.0 (left panel). Tyr/trp fluorescence (at 25°C) of RNase-A (D), lysozyme (E) and α-LA (F) in the absence and presence of 400 g/l Ficoll 70 at pH 4.0 (right panel).
https://doi.org/10.1371/journal.pone.0078936.s001
(TIF)
Figure S2.
Effect of Ficoll 70 on the fluorescence of NATA. Intrinsic fluorescence of NATA in the absence and presence of 400 g/l Ficoll 70.
https://doi.org/10.1371/journal.pone.0078936.s002
(TIF)
Author Contributions
Conceived and designed the experiments: LRS. Performed the experiments: SM. Analyzed the data: LRS SM. Contributed reagents/materials/analysis tools: LRS. Wrote the paper: LRS.
References
- 1. Fulton AB (1982) How crowded is the cytoplasm? Cell 30: 345–347.
- 2. Goodsell DS (1991) Inside a living cell. Trends Biochem Sci 16: 203–206.
- 3. Ellis RJ (2001) Macromolecular crowding: an important but neglected aspect of the intracellular environment. Curr Opin Struct Biol 11: 114–119.
- 4. Zimmerman SB, Minton AP (1993) Macromolecular crowding: biochemical, biophysical, and physiological consequences. Annu Rev Biophys Biomol Struct 22: 27–65.
- 5. Hall D, Minton AP (2003) Macromolecular crowding: qualitative and semiquantitative successes, quantitative challenges. Biochim Biophys Acta 1649: 127–139.
- 6. Minton AP (2000) Implications of macromolecular crowding for protein assembly. Curr Opin Struct Biol 10: 34–39.
- 7. Luby-Phelps K (2000) Cytoarchitecture and physical properties of cytoplasm: volume, viscosity, diffusion, intracellular surface area. Int Rev Cytol 192: 189–221.
- 8. Benton LA, Smith AE, Young GB, Pielak GJ (2012) Unexpected Effects of Macromolecular Crowding on Protein Stability. Biochemistry 51: 9773–9775.
- 9. van den Berg B, Ellis RJ, Dobson CM (1999) Effects of macromolecular crowding on protein folding and aggregation. EMBO J 18: 6927–6933.
- 10. Stagg L, Zhang SQ, Cheung MS, Wittung-Stafshede P (2007) Molecular crowding enhances native structure and stability of alpha/beta protein flavodoxin. Proc Natl Acad Sci U S A 104: 18976–18981.
- 11. Batra J, Xu K, Zhou HX (2009) Nonadditive effects of mixed crowding on protein stability. Proteins 77: 133–138.
- 12. Chen E, Christiansen A, Wang Q, Cheung MS, Kliger DS, et al. (2012) Effects of Macromolecular Crowding on Burst Phase Kinetics of Cytochrome c Folding. Biochemistry 51: 9836–9845.
- 13. Dedmon MM, Patel CN, Young GB, Pielak GJ (2002) FlgM gains structure in living cells. Proc Natl Acad Sci U S A 99: 12681–12684.
- 14. Sasahara K, McPhie P, Minton AP (2003) Effect of dextran on protein stability and conformation attributed to macromolecular crowding. J Mol Biol 326: 1227–1237.
- 15. Tokuriki N, Kinjo M, Negi S, Hoshino M, Goto Y, et al. (2004) Protein folding by the effects of macromolecular crowding. Protein Sci 13: 125–133.
- 16. Morar AS, Olteanu A, Young GB, Pielak GJ (2001) Solvent-induced collapse of alpha-synuclein and acid-denatured cytochrome c. Protein Sci 10: 2195–2199.
- 17. Engel R, Westphal AH, Huberts DH, Nabuurs SM, Lindhoud S, et al. (2008) Macromolecular crowding compacts unfolded apoflavodoxin and causes severe aggregation of the off-pathway intermediate during apoflavodoxin folding. J Biol Chem 283: 27383–27394.
- 18. Waegele MM, Gai F (2011) Power-law dependence of the melting temperature of ubiquitin on the volume fraction of macromolecular crowders. J Chem Phys 134: 095104.
- 19. McPhie P, Ni YS, Minton AP (2006) Macromolecular crowding stabilizes the molten globule form of apomyoglobin with respect to both cold and heat unfolding. J Mol Biol 361: 7–10.
- 20. Minton AP (2000) Effect of a concentrated “inert” macromolecular cosolute on the stability of a globular protein with respect to denaturation by heat and by chaotropes: a statistical-thermodynamic model. Biophys J 78: 101–109.
- 21. Cheung MS, Klimov D, Thirumalai D (2005) Molecular crowding enhances native state stability and refolding rates of globular proteins. Proc Natl Acad Sci U S A 102: 4753–4758.
- 22. Minton AP (2005) Models for excluded volume interaction between an unfolded protein and rigid macromolecular cosolutes: macromolecular crowding and protein stability revisited. Biophys J 88: 971–985.
- 23. Perham M, Stagg L, Wittung-Stafshede P (2007) Macromolecular crowding increases structural content of folded proteins. FEBS Lett 581: 5065–5069.
- 24. Miklos AC, Li C, Sharaf NG, Pielak GJ (2010) Volume exclusion and soft interaction effects on protein stability under crowded conditions. Biochemistry 49: 6984–6991.
- 25. Dhar A, Samiotakis A, Ebbinghaus S, Nienhaus L, Homouz D, et al. (2010) Structure, function, and folding of phosphoglycerate kinase are strongly perturbed by macromolecular crowding. Proc Natl Acad Sci U S A 107: 17586–17591.
- 26. Homouz D, Perham M, Samiotakis A, Cheung MS, Wittung-Stafshede P (2008) Crowded, cell-like environment induces shape changes in aspherical protein. Proc Natl Acad Sci U S A 105: 11754–11759.
- 27. Miklos AC, Sarkar M, Wang Y, Pielak GJ (2011) Protein crowding tunes protein stability. J Am Chem Soc 133: 7116–7120.
- 28. Harada R, Tochio N, Kigawa T, Sugita Y, Feig M (2013) Reduced Native State Stability in Crowded Cellular Environment Due to Protein−Protein Interactions. JACS 135: 3696–3701.
- 29. Malik A, Kundu J, Mukherjee SK, Chowdhury PK (2012) Myoglobin unfolding in crowding and confinement. J Phys Chem B 116: 12895–12904.
- 30. Bigelow CC (1960) Difference spectra of ribonuclease and two ribonuclease derivatives. C R Trav Lab Carlsberg 31: 305–324.
- 31. Hamaguchi K, Kurono A (1968) Structure of muramidase (lysozyme). I. The effect of guanidine hydrochloride on muramidase. J Biochem 54: 111–122.
- 32. Sugai S, Yashiro H, Nitta K (1973) Equilibrium and kinetics of the unfolding of alpha-lactalbumin by guanidine hydrochloride. Biochim Biophys Acta 328: 35–41.
- 33. Pace CN (1986) Determination and analysis of urea and guanidine hydrochloride denaturation curves. Methods Enzymol 131: 266–280.
- 34. Sinha A, Yadav S, Ahmad R, Ahmad F (2000) A possible origin of differences between calorimetric and equilibrium estimates of stability parameters of proteins. Biochem J 345 Pt 3: 711–717.
- 35. Luby-Phelps K, Castle PE, Taylor DL, Lanni F (1987) Hindered diffusion of inert tracer particles in the cytoplasm of mouse 3T3 cells. Proc Natl Acad Sci U S A 84: 4910–4913.
- 36. Venturoli D, Rippe B (2005) Ficoll and dextran vs. globular proteins as probes for testing glomerular permselectivity: effects of molecular size, shape, charge, and deformability. Am J Physiol Renal Physiol 288: F605–613.
- 37. Wenner JR, Bloomfield VA (1999) Crowding effects on EcoRV kinetics and binding. Biophys J 77: 3234–3241.
- 38. Privalov PL (1979) Stability of proteins: small globular proteins. Adv Protein Chem 33: 167–241.
- 39. Griko YV, Freire E, Privalov PL (1994) Energetics of the alpha-lactalbumin states: a calorimetric and statistical thermodynamic study. Biochemistry 33: 1889–1899.
- 40. Greene LH, Grobler JA, Malinovskii VA, Tian J, Acharya KR, et al. (1999) Stability, activity and flexibility in alpha-lactalbumin. Protein Eng 12: 581–587.
- 41. Becktel WJ, Schellman JA (1987) Protein stability curves. Biopolymers 26: 1859–1877.
- 42. Wang Y, Sarkar M, Smith AE, Krois AS, Pielak GJ (2012) Macromolecular crowding and protein stability. J Am Chem Soc 134: 16614–16618.
- 43. Mikaelsson T, Aden J, Johansson LB, Wittung-Stafshede P (2013) Direct observation of protein unfolded state compaction in the presence of macromolecular crowding. Biophys J 104: 694–704.
- 44. Schlesinger AP, Wang Y, Tadeo X, Millet O, Pielak GJ (2011) Macromolecular crowding fails to fold a globular protein in cells. J Am Chem Soc 133: 8082–8085.
- 45. Johansen D, Jeffries CM, Hammouda B, Trewhella J, Goldenberg DP (2011) Effects of macromolecular crowding on an intrinsically disordered protein characterized by small-angle neutron scattering with contrast matching. Biophys J 100: 1120–1128.
- 46. Szasz CS, Alexa A, Toth K, Rakacs M, Langowski J, et al. (2011) Protein disorder prevails under crowded conditions. Biochemistry 50: 5834–5844.
- 47. McNulty BC, Young GB, Pielak GJ (2006) Macromolecular crowding in the Escherichia coli periplasm maintains alpha-synuclein disorder. J Mol Biol 355: 893–897.
- 48. Flaugh SL, Lumb KJ (2001) Effects of macromolecular crowding on the intrinsically disordered proteins c-Fos and p27(Kip1). Biomacromolecules 2: 538–540.
- 49. Myers JK, Oas TG (2001) Preorganized secondary structure as an important determinant of fast protein folding. Nat Struct Biol 8: 552–558.
- 50. Koepf EK, Petrassi HM, Sudol M, Kelly JW (1999) WW: An isolated three-stranded antiparallel beta-sheet domain that unfolds and refolds reversibly; evidence for a structured hydrophobic cluster in urea and GdnHCl and a disordered thermal unfolded state. Protein Sci 8: 841–853.
- 51. Anfinsen CB (1973) Principles that govern the folding of protein chains. Science 181: 223–230.
- 52. Baldwin RL, Rose GD (1999) Is protein folding hierarchic? I. Local structure and peptide folding. Trends Biochem Sci 24: 26–33.
- 53. Jackson SE (1998) How do small single-domain proteins fold? Fold Des 3: R81–91.
- 54. Huang L, Jin R, Li J, Luo K, Huang T, et al. (2010) Macromolecular crowding converts the human recombinant PrPC to the soluble neurotoxic beta-oligomers. FASEB J 24: 3536–3543.
- 55. Inomata K, Ohno A, Tochio H, Isogai S, Tenno T, et al. (2009) High-resolution multi-dimensional NMR spectroscopy of proteins in human cells. Nature 458: 106–109.
- 56. Takaoka Y, Kioi Y, Morito A, Otani J, Arita K, et al. (2013) Quantitative comparison of protein dynamics in live cells and in vitro by in-cell (19)F-NMR. Chem Commun (Camb) 49: 2801–2803.