The structural stability of proteins is found to markedly change upon their transfer to the crowded interior of live cells. For some proteins, the stability increases, while for others, it decreases, depending on both the sequence composition and the type of host cell. The mechanism seems to be linked to the strength and conformational bias of the diffusive in-cell interactions, where protein charge is found to play a decisive role. Because most proteins, nucleotides, and membranes carry a net-negative charge, the intracellular environment behaves like a polyanionic (Z:1) system with electrostatic interactions different from those of standard 1:1 ion solutes. To determine how such polyanion conditions influence protein stability, we use negatively charged polyacetate ions to mimic the net-negatively charged cellular environment. The results show that, per Na+ equivalent, polyacetate destabilizes the model protein SOD1barrel significantly more than monoacetate or NaCl. At an equivalent of 100 mM Na+, the polyacetate destabilization of SOD1barrel is similar to that observed in live cells. By the combined use of equilibrium thermal denaturation, folding kinetics, and high-resolution nuclear magnetic resonance, this destabilization is primarily assigned to preferential interaction between polyacetate and the globally unfolded protein. This interaction is relatively weak and involves mainly the outermost N-terminal region of unfolded SOD1barrel. Our findings point thus to a generic influence of polyanions on protein stability, which adds to the sequence-specific contributions and needs to be considered in the evaluation of in vivo data.
The structural stability of proteins is found to markedly change upon their transfer to the crowded interior of live cells. For some proteins, the stability increases, while for others, it decreases, depending on both the sequence composition and the type of host cell. The mechanism seems to be linked to the strength and conformational bias of the diffusive in-cell interactions, where protein charge is found to play a decisive role. Because most proteins, nucleotides, and membranes carry a net-negative charge, the intracellular environment behaves like a polyanionic (Z:1) system with electrostatic interactions different from those of standard 1:1 ion solutes. To determine how such polyanion conditions influence protein stability, we use negatively charged polyacetate ions to mimic the net-negatively charged cellular environment. The results show that, per Na+ equivalent, polyacetate destabilizes the model protein SOD1barrel significantly more than monoacetate or NaCl. At an equivalent of 100 mM Na+, the polyacetate destabilization of SOD1barrel is similar to that observed in live cells. By the combined use of equilibrium thermal denaturation, folding kinetics, and high-resolution nuclear magnetic resonance, this destabilization is primarily assigned to preferential interaction between polyacetate and the globally unfolded protein. This interaction is relatively weak and involves mainly the outermost N-terminal region of unfolded SOD1barrel. Our findings point thus to a generic influence of polyanions on protein stability, which adds to the sequence-specific contributions and needs to be considered in the evaluation of in vivo data.
The intracellular environment,
where the majority of proteins exert their biological function, differs
in many respects from the dilute 150 mM NaCl buffer typically used
for analysis in vitro. Due to diffusive interactions
with the surrounding macromolecules,[1−3] these differences affect
not only protein motion but also the structural properties of proteins.[4−7] One such property is the thermodynamic stabilitywhere [U] and [F] are the concentrations of
unfolded and folded protein, respectively,[6,7]R is the molar gas constant, and T is the
absolute temperature.Previously, the intracellular crowding
was assumed to yield a net
protein stabilization. This assumption was based on in vitro observations showing that excluded-volume effects generally favor
compact states.[8] However, recent studies
have shown that the in-cell effect varies from protein
to protein,[9−12,6] and that the decisive factors
are to be found in the detailed crosstalk between the individual proteins
and the intracellular environment.[13,14,3,15] That is, the change
in stability depends on both the protein sequence[3] and the type of host cells.[14,6] An illustrative
example is provided by the β-barrel of the ALS-associated protein
Cu/Zn superoxide dismutase (SOD1barrel).[16] This protein undergoes a distinct stability loss upon being
transferred into live human cells (A2780),[6] which is seen as a decrease in (i) the melting temperature (Tm), (ii) the unfolding enthalpy at Tm [ΔH°U–F(Tm)], and (iii) the maximum thermodynamic
stability (Figure ). Overall, this is the thermodynamic signature expected for protein
destabilization caused by preferential binding;[17] i.e., the cellular environment interacts more strongly
with the unfolded protein than with the folded protein, shifting the
folding equilibrium KU–F = [F]/[U]
toward U (eq ). Subsequent
transfer of SOD1barrel from human cells to the interior
of Escherichia coli decreases ΔH°U–F(Tm) and the maximum
stability even further, but now with an accompanying increase in Tm (Figure ).[6] Such a contrasting thermodynamic
signature suggests that, on top of the destabilization caused by preferential
binding, there is a stabilizing term from excluded-volume effects.[17] Given that the cytosol of E. coli cells is 3–6 times more crowded than that of human cells,
this result is perfectly reasonable.[18,5] The data suggest,
interestingly, that the same molecular determinants are at play, both
in the native eukaryotic environment and in the E. coli cytosol, although in various relative amounts. When it comes to
understanding the nature of preferential binding, however, the situation
becomes more complicated. Because the average protein, nucleic acid,
and membrane carry net-negative charge,[1] the cellular interior represents basically a polyanionic system
with several characteristic features.
Figure 1
Thermodynamic signature of SOD1I35A in PBS, in the cytosol
of human A2780 cells, and in E. coli cells. The data
are reproduced from ref (6), where a transfer from dilute PBS buffer (dashed line, empty circles)
into live human cells (black circles) was associated with a marked
destabilization of SOD1I35A. Inside the human cells, the
protein displayed decreases in both the melting temperature and the
maximum stability (Table S1). SOD1I35A was also studied inside E. coli cells
(empty squares), where the maximum stability decreased even further,
as indicated by the upward shift of the thermal stability curve. On
the basis of a thermodynamic analysis, it was hypothesized that the
observed destabilization inside the two cell types was caused by preferential
binding to the unfolded state.[6] Surprisingly,
while the maximum stability was lower, the melting temperature of
SOD1I35A increased inside the bacterial cells compared
to that inside the human cells. It was further hypothesized that,
because the bacterial cytosol is more crowded than its human counterpart,
excluded-volume effects contributed with a stabilizing component.
Thermodynamic signature of SOD1I35A in PBS, in the cytosol
of humanA2780 cells, and in E. coli cells. The data
are reproduced from ref (6), where a transfer from dilute PBS buffer (dashed line, empty circles)
into live human cells (black circles) was associated with a marked
destabilization of SOD1I35A. Inside the human cells, the
protein displayed decreases in both the melting temperature and the
maximum stability (Table S1). SOD1I35A was also studied inside E. coli cells
(empty squares), where the maximum stability decreased even further,
as indicated by the upward shift of the thermal stability curve. On
the basis of a thermodynamic analysis, it was hypothesized that the
observed destabilization inside the two cell types was caused by preferential
binding to the unfolded state.[6] Surprisingly,
while the maximum stability was lower, the melting temperature of
SOD1I35A increased inside the bacterial cells compared
to that inside the human cells. It was further hypothesized that,
because the bacterial cytosol is more crowded than its human counterpart,
excluded-volume effects contributed with a stabilizing component.Most notably, the intracellular interactions will
experience a
global charge repulsion that not only acts at long range but also
modulates the close-range binding potential.[1] Due to the relatively low intracellular levels of small anions,
the very reach of the electrostatic interactions will also be longer
than in standard 150 mM NaCl buffer.[1] This
repulsive situation will basically oppose association and favor protein
dispersion.[1,14] However, there are also polyion
features that are expected to promote binding. For example, elements
of covalently linked charges have lower binding entropy than the same
number of free charges, which generally favors association.[19] Likewise, elements with clustered charges are
expected to show some degree of binding promiscuity because of their
mean field character; i.e., as long as their combined electrostatic
fields are attractive, they can associate despite local mismatches.[20] The frustration of such local mismatches can
also add a diffusive component to the associated states and decreased
binding entropy cost,[20] as sometimes observed
in biologically optimized binding sites.[21] In this study, we shed further light on this binding behavior of
polyanions by comparing how monoacetate (NaAc) and polyacetate (NaPAc)
affect the structural stability of the model protein SOD1barrel. The results show that, per negative charge, polyacetate is significantly
more destabilizing than monoacetate. At a polyacetate concentration
matching 100 mM Na+, and at 37 °C, the destabilization
is similar to that in mammalian cells. By combining an analysis of
the folding kinetics with high-resolution nuclear magnetic resonance
(NMR), we further assign the effect to mass action, where the polyacetate
interacts more strongly with unfolded SOD1barrel than with
folded SOD1barrel. This preferential binding is mainly
confined to coil segments with positively charged amino acid moieties,
which seem to transiently trap the protein in its unfolded state.
The findings are discussed in relation to existing in-cell NMR data and suggest that the molecular details of transient interactions
between a protein and the surrounding molecules must be taken into
account when thermodynamic properties are studied inside live cells.
Materials
and Methods
Mutagenesis, Expression, and Purification of SOD1barrel and SOD1I35A
Mutagenesis, expression, and overexpression
of SOD1barrel and SOD1I35A have been previously
described in refs (16) and (6). In short,
genes encoding the proteins were placed in a pET-3a vector and transformed
into E. coli BL21 DE3 cells. Cells were grown overnight
at 37 °C on LB/agar plates with carbenicillin as a selective
marker. The obtained colonies were used to seed overexpression cultures.
Cultures were grown in LB medium (37 °C) supplemented with 100
μg/mL carbenicillin under shaking until the OD600 was 0.8–1.0, after which protein overexpression was induced
with 0.5 mM isopropyl β-d-1-thiogalactopyranoside (IPTG).
Overexpression proceeded overnight at 23 °C. Upon overexpression
of proteins for use in NMR experiments, the culture medium (LB) was
replaced with M9 medium with 15NH4Cl as the
sole nitrogen source.The cells were harvested and lysed using
sonication. Cell debris was removed via centrifugation (39000g, 20 min, 4 °C) using a JA 25.50 rotor (Beckman Coulter).
For SOD1barrel, further purification involved heat denaturation
at 55 °C, as well as anion exchange and size exclusion chromatography.[16] The same protocol was used to purify SOD1I35A with the sole exception that, because of the reduced thermostability
of SOD1I35A, the heat denaturation step was skipped.[6] Protein purity was verified using 4–20%
sodium dodecyl sulfate–polyacrylamide gel electrophoresis gradient
gels (Bio-Rad Laboratories Inc.), and the protein concentration was
determined using a NanoDrop 2000 (Thermo Scientific). Expression yields
were >20 mg/L of cell culture.
General Experimental Conditions
All experiments were
performed at 298 K, with 10 mM MES (pH 6.4) as background buffer,
unless otherwise stated. Stock solutions of 2 M NaAc (pH 6.3) (Millipore
Sigma) buffer and 2 M NaCl (VWR) solutions were prepared according
to standard practices. During preparation of the 2 M polyacetate stock
solutions, special consideration had to be taken to reach an ionic
strength that was comparable with the salt solutions, as well as a
stable pH. The preparation protocol has been extensively described
in the Supporting Information.To
avoid excessive screening of charge interactions, as, e.g., observed
for GdmCl, we opted here for Ultrapure urea (MP Biomedicals) as the
denaturation agent; 5–9 M urea was used for the SOD1barrel unfolding kinetic data, while 5 M urea was used to denature the
protein in preparation for the refolding kinetics. When the U state
was studied with NMR, 4 M urea and 5 M urea was used as denaturing
conditions for SOD1I35A and SOD1barrel, respectively.
Before use, urea was prepared fresh and had its concentration verified
using the refractive index[22] with a Refracto
30PX portable refractometer (Mettler Toledo).
NMR Experiments
1H–15N
heteronuclear single-quantum coherence (HSQC) spectra were used for
all experiments. Temperature stability data of SOD1I35A were acquired on a Bruker Avance 600 MHz NMR spectrometer, with
2048 increments in the 1H dimension, 128 increments in
the 15N dimension, and 16 scans. The temperature varied
between 278 and 318 K in steps of 2 K, with a 10 min equilibration
time between each experiment to ensure temperature stability. Data
were processed using TopSpin (Bruker).
Thermal Stability Analysis
The folded (F) and unfolded
(U) populations were determined from C-terminal Q110 cross-peak volumes
at 8.03 and 125.0 ppm and at 7.97 and 125.4 ppm, respectively[6] (Figure S2). The Gibbs
free energy (ΔGU–F) was calculated
according to eq . The
temperature dependence of ΔGU–F was fitted to[23]where T0 is the
reference temperature, ΔH°U–F(T0) and ΔS°U–F(T0) are the enthalpy
and entropy at T0, respectively, and ΔC is the heat capacity difference between U
and F. The melting temperature, Tm, and
cold unfolding temperature, Tc, were extracted
by fitting the thermal stability data toand obtaining the
values where ΔGU–F = 0 kJ/mol.
Data were analyzed using
KaleidaGraph (Synergy Software).
Analysis of Chemical Shift
Perturbations
The chemical
shift perturbations (CSPs) of U and F, for SODbarrel and
SODI35A, were analyzed under different ionic conditions
with and without urea. HSQC experiments were performed on a Bruker
Avance 700 MHz spectrometer equipped with a triple-resonance cryoprobe,
with 2048 increments in the 1H dimension, 128 increments
in the 15N dimension, and eight scans. Sodium trimethylsilylpropanesulfonate
(DSS) was used as a standard reference,[24] unless otherwise stated. Data were analyzed with Sparky.[25]CSPs in the 1H and 15N dimensions were calculated using either 100 mM NaCl (Figure S3) or 100 mM NaAc (Figure ) as a reference. To show that the two salts
are comparable, the CSPs between 100 mM NaAc and 100 mM NaCl were
also quantified (Figure S3). The CSPs for 1H and 15N were normalized according to eq ,[26] and the CSPs with normalized values equal to or exceeding two standard
deviations (0.02 and 0.04 ppm for U and N, respectively) were considered
significant.
Figure 5
NMR characterization of binding of NaPAc1200
to the folded and
unfolded state of SOD1barrel. (A) Overlapped NMR spectra
of unfolded SOD1I35A (U) in 4 M urea, with (red) and without
(black) 100 mM Na+ equivalents of NaPAc1200. A comparison
of the spectra reveals small but significant shifts. (B) Corresponding
NMR spectra of folded SOD1barrel (F). Because line broadening
is observed for NaPAc1200, the contours in panels A and B have been
optimized for peak visibility and may therefore differ. (C and D)
Induced chemical shift perturbations upon interaction with NaPAc1200
for U and F, respectively. The reported shifts are the weighted averages
of the induced 1H and 15N chemical shift perturbations.
(E) SOD1barrel was titrated with 0 to 100 mM Na+ equivalents of NaPAc1200, at a constant Na+ concentration.
The titration was performed in the presence (U) and absence (F) of
5 M urea. The affinity of the polyanion for the protein was estimated
from fitting a binding curve to the chemical shift data, yielding
dissociation constants (KD) of 65 mM for
U and 1.8 M for F.
Polyanion Titration Curve,
with a Constant Na+ Concentration
Data acquisition
and chemical shift analysis were carried out as
described above. Samples with folded and unfolded SOD1barrel were prepared with 0 μM, 10 μM, 100 μM, 1 mM,
10 mM, 50 mM, and 100 mM NaPAc1200 at pH 6.4. To abolish any unwanted
ionic strength effects, the samples were supplemented with NaCl so
that the final Na+ concentration was 100 mM. Data were
analyzed with Sparky.[25] The apparent dissociation
constant (KD) was determined from the
induced chemical shift of the most affected cross-peaks (Figure ). The induced chemical
shifts were fitted assuming a single binding site and KD. Line widths were quantified by taking the ratio of
the peak intensity at x mM NaPAc1200 and 0 mM NaPAc1200
(Figure S4).
Molecular Docking of PAc1200
to SOD1barrel
Avogadro[27] was used to build a visual
representation of the 13-mer PAc1200, which was subsequently exported
as a Protein Data Bank (PDB) file and further prepared in PyMOL (Schrödinger)
to meet the format requirements of the HADDOCK 2.4 Web server.[28]To dock the PAc1200 molecule to SOD1barrel (PDB entry 4BCZ), both PDB files were uploaded to the HADDOCK Web
server via the web interface. Residues identified via NMR CSPs (Figure and Table S2) were treated as active in the interaction.
All atoms in the ligand were treated as active. Default settings were
used, except for the parameters defined in Table S2. Docking was done without any Na+ ions present.Clusters 1, 5, 8, and 10 received Z scores[28] of −1.9, −0.4, −1.2, and
−0.4, respectively, where a more negative Z score indicates a better fit. The docking results agree with the
diffusive binding hypothesis presented in the text, as illustrated
in Figure .
Figure 6
Binding of NaPAc1200 to the folded state. (A)
Residues that show
significant chemical shift perturbations are colored red in the SOD1barrel tertiary structure, revealing residue co-localization.
(B) The electrostatic surface properties of SOD1barrel are
projected onto the surface of the protein, indicating that the negatively
charged NaPAc1200 binds a groove with mainly positive charges (blue).
(C) Five of the best scoring dockings of NaPAc1200 (colored) are shown
bound to SOD1barrel (gray), confirming that the binding
may be delocalized. (D) Mean field electric field strength calculated
for each residue in the unfolded state (eqs –9). The mean
field pattern was estimated using ordinary Coulombic electrostatics
under the assumption that the U state can be approximated as an ergodic
Gaussian chain. Positive patches are colored blue, and negative patches
red. The positions of secondary structure elements along the protein
sequence are shown as a cartoon.
Stopped-Flow
Folding Kinetics
Protein folding kinetics
were studied using PI-Star 180 and SX.18-MV stopped-flow spectrophotometers
(Applied Photophysics), with excitation at 280 nm and emission collected
with a 320 nm short-pass filter. Measurements were performed on SOD1barrel in 100 mM NaCl, 100 mM NaAc, 100 mM NaPAc1200, or 100
mM NaPAc8000 at pH 6.4, with 4 μM protein after mixing. The
observed folding kinetics were fitted towhere kobs is
the observed rate constant, kf and ku are the refolding and unfolding rate constants,
respectively, log kfH2O and
log kuH2O are the folding and
unfolding rate constants, respectively, extrapolated to 0 M urea,
while mf and mu are the linear urea dependencies of the respective rate constant,
describing the change in solvent exposure going from U to the transition
state (‡) and from N to ‡, respectively.[29] Data were analyzed with KaleidaGraph (Synergy
Software).
Mapping Out the Concentration Dependence
of (Poly-)ions on the
Refolding Rate
Sample preparation and measurements for the
concentration curves were as for the stopped-flow refolding kinetic
experiments above. The refolding rate of SOD1barrel was
measured at NaAc, NaPAc1200, and NaPAc8000 concentrations of 0–1.6
M (Figure S5). The linear increase in refolding
rate observed for salt concentrations above approximately 0.35 M (Figure S5) was subtracted to isolate the Debye
and binding effects from the general Hoffmeister effects.
Ionic Strength
Control; S6–17 Equilibrium
Curves
Mutagenesis of wild-type S6 into the supercharged
variant S6–17 (Figure S1) and the purification protocol have been previously described.[30] Samples were prepared with 10 mM MES (pH 6.4)
as background buffer, 1 μM protein, and 0–5 M urea as
the denaturation agent. Samples were allowed to equilibrate overnight
before every series of measurements. Measurements were taken on a
Cary Eclipse fluorescence spectrophotometer (Varian) with an excitation
wavelength of 280 nm. Data were collected by scanning the emission
wavelengths of 300–440 nm. Data were quantified via integration
over the entire signal, normalized, and plotted as a function of urea
concentration.[31]
Mean Electric Field Distribution
The mean electric
field in the unfolded state was calculated assuming that at every
position i, the total field is the sum of the fields
from each residue in the protein chain. The field strength contribution
at position i from a charge [q (1.602
× 10–19 C)] at position j is
then given bywhere R is the distance between residues i and j, ε0 (8.75 ×
10–12 F m–1) is the permittivity
in vacuum, and εr is the relative permittivity, here
set to 1. For a flexible
unfolded chain, this distance is a distribution of distances. For
the simplest model of an unfolded chain, i.e., a Gaussian chain with
each amino acid as a chain element, the distance distribution between
residues i and j is given bywhere N = |i – j] and b is
the distance between two adjacent amino acids, here set to 3.88 Å.
Combining eqs and 9, integrating over all conformations, and summing
over all amino acids yield the total average field at position i:
Results
Outline of
the Model System
The focus of this study
is to examine how polyanions modulate protein stability by asking
the simplest question conceivable: what is the effect of linking a
given number of solute 1:1 ions into Z:1 ions? As
a model protein, we chose the well-characterized SOD1barrel (Figure S1)[3,6,16,32−34] with the destabilizing core mutation I35A (SOD1I35A).[6] Previous in-cell thermodynamic
studies of SOD1barrel and SOD1I35A have shown
a similar reversible destabilization for these two proteins.[6,35] The purpose of the I35A mutation is simply to move the thermal unfolding
transition into the physiological regime, which allows for a direct
characterization of the curved ΔG°U–F versus T profile (Figure ), as well as a direct comparison
with previously published in-cell NMR data.[6] As ions, we use acetate in the form of “monomeric”
NaAc (Mw = 82.0 g/mol, or 82 Da), the
13-mer NaPAc1200 (Mw = 1200 Da), and the
85-mer NaPAc8000 (Mw = 8000 Da), with
NaCl as the simplest 1:1 ion reference. Here, the acetate ion is the
monomeric counterpart in terms of the charged side chain of polyanionic
NaPAc. However, the “true” monomer, as viewed by polymer
chemists, would be sodium acrylate (NaAcr). As it turned out, equilibrium
stability as well as kinetic measurements proved to be difficult using
NaAcr as a reference, because melting experiments with NMR resulted
in spontaneous polymerization and a partly irreversible unfolding
reaction. The properties of NaAcr also rendered the fluorescence of
U and F indistinguishable, effectively obscuring the protein folding
and unfolding events. Even so, the existence of a NaAcr effect similar
to that of NaPAc can be verified by NMR, showing fully folded and
unfolded SOD1barrel in 0 and 5 M urea, respectively. We
opted therefore for the acetate ion to represent the monomeric counterpart
of the charged NaPAc polymer moieties.
Figure 2
Thermodynamic and kinetic
characterization of protein stability
under various co-solute conditions. (A) The parabolic curves show
the thermal stability of SOD1I35A in different solutes,
as detected by NMR. This quantitative approach utilizes the change
in U and F populations as a function of temperature to quantify the
stability of SOD1I35A. It can also be used for subsequent
determination of various thermodynamic parameters, and their variation
with temperature, according to eqs and 3. The monovalent 1:1 ions
NaCl (blue) and acetate (NaAc, black) show a similar, moderate effect,
while linking acetate to 13-mers (NaPAc1200, red) and 85-mers (NaPAc8000,
green) results in a more severe destabilization. This destabilization
is characterized by an upward shift of the curves, revealing a decrease
in Tm, a decrease in maximum stability,
and an increase in Tc (Table S1). For comparative purposes, the thermal stability
in pure MES buffer (gray) is also shown. (B) Another approach is stopped-flow
spectroscopy, where protein folding kinetics are used to quantify
the stability of a protein. An analysis of the resulting chevron plots
of SOD1barrel reveals a downshift of the refolding limb,
meaning that the observed destabilization can be assigned to a reduction
in the refolding rate of the protein. (C) Correlation plot of the
data shown in panels A and B. Upon comparison of the change in protein
stability in the different co-solutes relative to MES (at 25 °C),
it can be shown that there is good agreement between the results obtained
with the two different methods. All color codes are as in panel A.
Error bars reflect the error from data fits in panels A and B.
Thermodynamic and kinetic
characterization of protein stability
under various co-solute conditions. (A) The parabolic curves show
the thermal stability of SOD1I35A in different solutes,
as detected by NMR. This quantitative approach utilizes the change
in U and F populations as a function of temperature to quantify the
stability of SOD1I35A. It can also be used for subsequent
determination of various thermodynamic parameters, and their variation
with temperature, according to eqs and 3. The monovalent 1:1 ions
NaCl (blue) and acetate (NaAc, black) show a similar, moderate effect,
while linking acetate to 13-mers (NaPAc1200, red) and 85-mers (NaPAc8000,
green) results in a more severe destabilization. This destabilization
is characterized by an upward shift of the curves, revealing a decrease
in Tm, a decrease in maximum stability,
and an increase in Tc (Table S1). For comparative purposes, the thermal stability
in pure MES buffer (gray) is also shown. (B) Another approach is stopped-flow
spectroscopy, where protein folding kinetics are used to quantify
the stability of a protein. An analysis of the resulting chevron plots
of SOD1barrel reveals a downshift of the refolding limb,
meaning that the observed destabilization can be assigned to a reduction
in the refolding rate of the protein. (C) Correlation plot of the
data shown in panels A and B. Upon comparison of the change in protein
stability in the different co-solutes relative to MES (at 25 °C),
it can be shown that there is good agreement between the results obtained
with the two different methods. All color codes are as in panel A.
Error bars reflect the error from data fits in panels A and B.Henceforth, all ion concentrations will be normalized
to the Na+ concentration to single out the polyion effect,
i.e., the
total number of charges is kept constant, and the varying factor is n, where n is the number of linked acetate
groups (Figure S1).
Effects of Polyanions on
the Stability of SOD1barrel
To obtain a complete
thermodynamic fingerprint of the polyanion
effect, we mapped out the temperature dependence of SOD1I35A stability by NMR spectroscopy. A simplifying factor is here that
the SOD1barrel unfolding transition is a highly concerted
two-state process,[16] with slow exchange
between the unfolded and folded states on the NMR time scale.[16] This enables direct quantification of the equilibrium
populations of U and F (pU and pF, respectively) from the NMR cross-peak volumes
(Figure S2). For detection, we used the
C-terminal residue Q110, which has U and F cross-peaks that are well-separated
and exhibits relaxation properties that allow simultaneous determination
of pU and pF(6) (Figure S2). From pU and pF, the protein stability (ΔG°U–F) was calculated according to eq with KU–F = [F]/[U] = pF/pU. The results show that the temperature dependence of ΔG°U–F follows the archetypical parabolic
shape in pure 10 mM MES buffer (Figure ), which is consistent with previous studies of SOD1I35A.[6] Upon addition of 1:1 ions
in the form of 100 mM NaCl or NaAc, SOD1I35A undergoes
a clear and characteristic destabilization (Figure and Table S1).The difference between the two salts is yet small, with a similar
decrease in the maximum pF from ∼0.90
in buffer to ∼0.80. This decrease is accompanied by a decrease
in Tm from 38 °C in pure buffer to
31 and 33 °C for NaCl and NaAc, respectively (Table S1). Upon addition of a 100 mM equivalent of the polyanions,
however, SOD1I35A destabilization becomes more pronounced.
The 13-mer NaPAc1200 yields a maximum pF of ∼0.60, with a Tm of 23 °C,
and the 85-mer NaPAc8000 decreases the maximum pF to ∼0.43, meaning that the transition midpoint is
never reached (Figure ). Covalent linkage of the 1:1 acetate ions to a 85:1 polyanion thus
decreases the maximum SOD1I35A stability from −3.97
kJ/mol (ΔG17.4 °Cmax) to 1.03 kJ/mol (ΔG14.6 °Cmax) (Figure and Table S1). Notably, this decrease
in maximum stability exceeds that observed in live mammalian cells
by a factor of 5.6 (ΔΔGNaAc-NaPAc8000max = 5.00
kJ/mol, and ΔΔGNaAc-A2780max = 0.89 kJ/mol).[6] The corresponding effect from NaPAc1200 is a factor of
3.5. Due to a stronger curvature of the free energy profile inside
cells (Figure ),[6] the destabilization of SOD1I35A by
the cytosol and by NaPAc1200 is similar at 37 °C (Table S1). To shed mechanistic light on this
polyanion effect, we followed the analysis of Ebbinghaus and co-workers.[17] In short, in this analysis, parameters ΔTm and ΔΔH°U–F can be interpreted as a vector, where the first
quadrant (ΔTm and ΔΔH°U–F > 0) corresponds to preferential
hydration, the second (ΔTm <
0, ΔΔH°U–F >
0)
to a combination of preferential binding and hydration, the third
(ΔTm < 0, ΔΔH°U–F < 0) to preferential binding,
and the fourth (ΔTm > 0, ΔΔH°U–F < 0) to excluded-volume
effects (Figure ).
Figure 3
Thermodynamic
classification of the destabilization effects from
salt and polyanion solutes. Protein destabilization can be classified
from the effects on unfolding enthalpy (ΔH°) and melting temperature (Tm), following
the protocol by Ebbinghaus et al.[36] Using
thermodynamic parameters derived from NMR data (Figure and Table S1),
it is possible to determine the major destabilizing factors that act
on a protein, i.e., preferential hydration (PH), excluded-volume effects,
preferential binding (PB), or a combination of hydration and binding.
The 1:1 salts NaCl (blue) and NaAc (black) show small destabilizing
effects on SOD1I35A, indicating both preferential binding
and hydration contributions, while the polyanions (red and green)
show distinct preferential binding signatures. For comparison, the
effect on SOD1I35A stability in human A2780 cells[14] is shown as a red x. The figure design was adapted
from ref (36).
Thermodynamic
classification of the destabilization effects from
salt and polyanion solutes. Protein destabilization can be classified
from the effects on unfolding enthalpy (ΔH°) and melting temperature (Tm), following
the protocol by Ebbinghaus et al.[36] Using
thermodynamic parameters derived from NMR data (Figure and Table S1),
it is possible to determine the major destabilizing factors that act
on a protein, i.e., preferential hydration (PH), excluded-volume effects,
preferential binding (PB), or a combination of hydration and binding.
The 1:1 saltsNaCl (blue) and NaAc (black) show small destabilizing
effects on SOD1I35A, indicating both preferential binding
and hydration contributions, while the polyanions (red and green)
show distinct preferential binding signatures. For comparison, the
effect on SOD1I35A stability in humanA2780 cells[14] is shown as a red x. The figure design was adapted
from ref (36).The derived thermodynamic parameters for the polyanions
are both
located in the third quadrant (Figure and Table S1). This combination,
with negative values for both ΔTm and ΔΔH°U–F,
corresponds to a destabilization due to preferential binding,[17] meaning that the unfolded state, U, is stabilized
by preferential binding to the co-solute. A reason for concern is
nonetheless that the 1:1 ions, which are not expected to bind the
protein, leave a similar thermodynamic fingerprint (Figures and 3). The likely explanation is that the basal destabilization of SOD1I35A, due to ion screening of surface-charge interactions,
cannot thermodynamically be distinguished from that of preferential
binding, and that the difference lies mainly in the magnitude of the
effect.
Clues from Folding Kinetics: A Selective Effect on the Refolding
Limb
The interaction between the ions and the protein species
along the folding free energy profile was next determined by stopped-flow
kinetics. These experiments were performed with SOD1barrel, where the return of an isoleucine at position 35 adds a few methylene
moieties inside the protein core, which in turn stabilizes the protein
without significantly affecting the charge-based interactions of interest
in this study. This extra stabilization allows for a more accurate
determination of the refolding kinetics, compared to that of SOD1I35A. As typical for proteins that fold via a two-state mechanism,[37] SOD1barrel displays a v-shaped chevron
plot (Figure ) where
the ratio of the unfolding and refolding rate constants (ku and kf, respectively) yields
the equilibrium constant (KU–F)
according tofollowing
the reaction schemewhere ‡ is the folding transition state.Consistently, the ion-induced stability losses determined from
the chevron plots match the NMR data well (Figure and Table S1).
A striking feature is yet that the impact is mainly on the refolding
rate constants, while the unfolding rate constants are less affected:
NaCl and NaAc yield a similar decrease, while the polyanions enhance
the effect (Figure ). The result adds nuance to the picture by showing that the effect
of the ion on U is distinct from that of ‡ and F, but it still
does not serve to distinguish the preferential binding terms from
those of generic charge screening.
Deconvolution of Ion Binding
and Charge Screening
To
isolate the generic charge screening from other destabilizing factors,
we made use of the characteristic dependence of ion concentration
on Debye length.[38] Commonly, such analysis
involves conversion to ionic strength (I) and shows
typically a saturation above I = 500 mM, where the
screening effect levels out.[38] However,
because the ionic strength is not easily defined for large polyions,
we employ here the equivalent Na+ concentrations. As shown
below, this simplification turns out to be sufficient for the conclusions
drawn.SOD1barrel displays a slight drop in the refolding
rate constant upon titration by moderate amounts of NaCl, and the
same initial drop in kf is readily reproduced
with NaAc (Figure ). The cause of this destabilization could be screening of nativelike,
long-lived electrostatic interactions in the unfolded state, and the
drop then corresponds directly to Debye screening.[39−41] Upon further
addition of NaAc, a slow increase in kf follows, which is attributed to a general Hoffmeister stabilization[42] (Figure ). Consistent with a Debye screening effect at low salt concentrations,
the change between the two salt regimes occurs at ∼300 mM.[38] At this salt concentration, the Debye length
is ∼0.6 nm,[38] which matches the
amino acid separation; i.e., the conditions are expected to screen
the majority of the protein’s electrostatic interactions. The
same trend is observed with the polyanions, but with the difference
that the low-salt decrease is 3 times as large (Figure ). Also, the polyanion destabilization commences
earlier than for NaAc: at 18 mM Na+ equivalent, the Δlog kf values are −0.73 and −0.82 for
NaPAc1200 and NaPAc8000, respectively. This can be compared to a Δlog kf of −0.17 for NaAc (Figure ), and the observed difference
is in good accordance with the findings from stopped-flow kinetics
(Figure ). This result
is inconsistent with a Debye screening effect alone, as its final
magnitude is primarily determined by the protein’s electrostatics
and, hence, largely insensitive to this type of solute ion. On this
basis, we conclude that a major part of the destabilization caused
by the polyanions has a mechanistic origin different from that of
charge screening. That is, there are two superimposed factors at play.
Figure 4
Effects
of Debye screening on the refolding rate of SOD1barrel.
(A) The refolding rate (log kobs) of
SOD1barrel was studied in varying Na+ equivalent
concentrations of NaAc (black), NaPAc1200 (red), and NaPAc8000 (green).
In the data shown here, the Hoffmeister-induced linear increase in
log kobs at ion concentrations above 0.35
M has been excluded (see Figure S5 for
the complete data sets and analysis). In general, the refolding rate
of SOD1barrel decreases with an increase in ion concentration,
up to approximately 0.4 M, indicating Debye-type screening of charge–charge
interactions. On top of the general effects seen for NaAc, a substantial
decrease in stability is observed already at very low concentrations
of polyanions (NaPAc1200, red; NaPAc8000, green). (B) Same data as
in panel A, but with the offset subtracted. The overlapping curves
highlight that there are similar Debye screening effects at play at
ion concentrations of >100 mM. By fitting single-exponential decays
to the data, we can show that the decay constants are virtually the
same for all three salts. (C) S6–17[30] was used as an internal control of the ionic strength of
the polyanions compared to monovalent salts. The graph shows urea-induced
denaturation curves of S6–17 in buffer (MES, gray),
a monovalent salt (NaAc, black), and a polyanion (NaPAc1200, red).
Because S6–17 contains only negatively charged side
chains, the internal repulsion of the amino acid chain is very strong.
However, when salt is added, this internal repulsion is screened,
allowing the protein to fold. As the stabilizing effect of equimolar
NaPAc1200 is weaker than that of NaAc, we can conclude that the polyanion
does not exhibit a higher degree of charge screening than the 1:1
ions.
Effects
of Debye screening on the refolding rate of SOD1barrel.
(A) The refolding rate (log kobs) of
SOD1barrel was studied in varying Na+ equivalent
concentrations of NaAc (black), NaPAc1200 (red), and NaPAc8000 (green).
In the data shown here, the Hoffmeister-induced linear increase in
log kobs at ion concentrations above 0.35
M has been excluded (see Figure S5 for
the complete data sets and analysis). In general, the refolding rate
of SOD1barrel decreases with an increase in ion concentration,
up to approximately 0.4 M, indicating Debye-type screening of charge–charge
interactions. On top of the general effects seen for NaAc, a substantial
decrease in stability is observed already at very low concentrations
of polyanions (NaPAc1200, red; NaPAc8000, green). (B) Same data as
in panel A, but with the offset subtracted. The overlapping curves
highlight that there are similar Debye screening effects at play at
ion concentrations of >100 mM. By fitting single-exponential decays
to the data, we can show that the decay constants are virtually the
same for all three salts. (C) S6–17[30] was used as an internal control of the ionic strength of
the polyanions compared to monovalent salts. The graph shows urea-induced
denaturation curves of S6–17 in buffer (MES, gray),
a monovalent salt (NaAc, black), and a polyanion (NaPAc1200, red).
Because S6–17 contains only negatively charged side
chains, the internal repulsion of the amino acid chain is very strong.
However, when salt is added, this internal repulsion is screened,
allowing the protein to fold. As the stabilizing effect of equimolar
NaPAc1200 is weaker than that of NaAc, we can conclude that the polyanion
does not exhibit a higher degree of charge screening than the 1:1
ions.To obtain an independent control
of the polyanion screening effect,
we monitored their influence on the stability of a supercharged variant
of the ribosomal protein S6 [S6–17 (Figure S1)].[30] A useful
feature of S6–17 is that it contains only negatively
charged side chains and, hence, suffers a high level of internal destabilization
from electrostatic repulsion.[30] The uniformly
negative surface of this protein also suppresses binding with any
solute anions, biasing the readout as far as possible to charge screening
effects. Our test shows that, despite the different anionic properties
of NaAc and NaPAc1200, they stabilize S6–17 to similar
extents. Upon addition of 100 mM Na+ equivalent, the urea-induced
unfolding midpoint increases from −0.25 to 1.28 M (Figure ), which corresponds
to a protein stabilization of 7.5 kJ/mol and matches well the effect
of 100 mM NaCl reported previously.[30] Taken
together, the similar screening characteristics of the different ions
corroborate the idea that the stronger destabilizing impact of the
polyanions on the stability of SOD1barrel originates from
mass action through preferential binding to the unfolded state.
Mapping Out the Interactions between the Polyanions and Unfolded
and Folded SOD1barrel
The structural foci for
the interactions between polyanions and globally unfolded SOD1barrel were determined by high-resolution NMR. To ensure full
population of the unfolded state, the protein was further destabilized
by the addition of 5 M urea. The noncharged urea is not expected to
significantly alter the electrostatic interactions in the system,
even though it might suppress binding by weakening attractive polar
and hydrophobic contacts between the polyanions and the random coil.
In such case, the urea will lead to an underestimation of binding
compared to the pure situation. Because a similar magnitude of destabilization
is observed in the NMR temperature scans and the urea-titrated folding
kinetics, however, the mechanism appears to be relatively unaffected
by urea.Urea-unfolded SOD1barrel reveals a characteristic 1H–15N HSQC spectrum with the backbone amide
resonances collapsed into a narrow region, especially in the proton
dimension, where all cross-peaks are located in the range of 7.9–8.7
ppm (Figure ). To set the baseline for unspecific ion effects,
we first subjected the protein to 100 mM NaCl. As a result, minute
general shifts are found along the whole sequence with somewhat more
pronounced effects on segments corresponding to strands 4 and 7 (Figure S3). Replacing NaCl with equivalent amounts
of NaAc induced no observable chemical shift changes compared to NaCl
(Figure S3). Next, when the 100 mM acetate
anions are “linked” into 100 mM Na+ equivalent
NaPAc1200, nine of 110 residues in the protein undergo significant
chemical shift changes.NMR characterization of binding of NaPAc1200
to the folded and
unfolded state of SOD1barrel. (A) Overlapped NMR spectra
of unfolded SOD1I35A (U) in 4 M urea, with (red) and without
(black) 100 mM Na+ equivalents of NaPAc1200. A comparison
of the spectra reveals small but significant shifts. (B) Corresponding
NMR spectra of folded SOD1barrel (F). Because line broadening
is observed for NaPAc1200, the contours in panels A and B have been
optimized for peak visibility and may therefore differ. (C and D)
Induced chemical shift perturbations upon interaction with NaPAc1200
for U and F, respectively. The reported shifts are the weighted averages
of the induced 1H and 15N chemical shift perturbations.
(E) SOD1barrel was titrated with 0 to 100 mM Na+ equivalents of NaPAc1200, at a constant Na+ concentration.
The titration was performed in the presence (U) and absence (F) of
5 M urea. The affinity of the polyanion for the protein was estimated
from fitting a binding curve to the chemical shift data, yielding
dissociation constants (KD) of 65 mM for
U and 1.8 M for F.Interestingly, these
changes also involve new parts of the protein
sequence, compared to monomeric NaAc (Figure ). The affected residues can be categorized
into two groups. The first group shows the involvement of the first
10 amino acids of the SOD1barrel sequence, where five residues
in the N-terminal region show consistent polyanion perturbation (Figure ). The second group
comprises the protein’s five histidine side chains that reside
more scattered in sequence at positions 43, 46, 48, 80, and 90 (Figure ). However, the chemical
shifts of histidine residues are sensitive to their protonation states,[43,44] and because the detailed screening properties of monovalent salts
and polyanions are expected to be different, these shifts can simply
reflect small shifts in the imidazole protonation states; i.e., they
need not report on specific binding events. This leaves a polyanionic
interaction targeting preferentially the N-terminal region of the
unfolded SOD1barrel sequence. In contrast to the similar
direction of the screening and binding effects indicated by thermodynamic
analysis (Figures and 3), the NMR chemical shifts display distinct
chemical shift signatures induced by 1:1 ions and the polyanions,
respectively. This indicates that there are two components to the
destabilization, where the second relates to binding, and where binding
to the unfolded state causes a destabilization by a population shift
toward U (eq ) by
mass action.The question is then the extent to which the polyanions
interact
with the folded state of SOD1barrel, and therewith provide
a compensatory stabilizing component to the folding equilibrium in eq . To find out, we repeated
the NMR analysis described above in the absence of urea, assuring
full population of folded SOD1barrel. The results show
that the folded SOD1barrel spectrum also displays significant
chemical shift changes in the presence of polyanions. More precisely,
the effect is observed in the region between residues 44 and 51. There
are also four additional regions of sequence with somewhat less shifted
cross-peaks (Figure ), and notably, all five identified regions join up as a contiguous
belt when projected onto the SOD1barrel tertiary structure
(Figure ). This belt spans >3 nm across the protein’s
surface, covering β-strands 4 and 7 of the catalytic site, as
well as loops 4, 6, and 7.Binding of NaPAc1200 to the folded state. (A)
Residues that show
significant chemical shift perturbations are colored red in the SOD1barrel tertiary structure, revealing residue co-localization.
(B) The electrostatic surface properties of SOD1barrel are
projected onto the surface of the protein, indicating that the negatively
charged NaPAc1200 binds a groove with mainly positive charges (blue).
(C) Five of the best scoring dockings of NaPAc1200 (colored) are shown
bound to SOD1barrel (gray), confirming that the binding
may be delocalized. (D) Mean field electric field strength calculated
for each residue in the unfolded state (eqs –9). The mean
field pattern was estimated using ordinary Coulombic electrostatics
under the assumption that the U state can be approximated as an ergodic
Gaussian chain. Positive patches are colored blue, and negative patches
red. The positions of secondary structure elements along the protein
sequence are shown as a cartoon.An interesting detail is here that the span of 3 nm exceeds the
length of the fully extended NaPAc1200 13-mer, pointing to the possibility
that the binding is to some extent delocalized or involves more than
one polyanion molecule. To test the hypothesis of delocalized binding,
we employed the chemical shifts as constraints for a docking simulation,
using the High Ambiguity Driven protein–protein DOCKing (HADDOCK)
server.[28] We found that several binding
modes agree with the constraints, and overlaying five of the best
scoring docking results nicely cover the perturbed belt (Figure ). We also observe
that some of the affected cross-peaks exhibit not only induced chemical
shift changes but also line width effects (Figure S4). This feature indicates that the polyanion alters some
local backbone dynamics in the adjacent loops upon interaction, although
exchange contributions cannot be ruled out.[45] Most affected are the flexible loops, where loop 6 displays larger
than average line broadening, while loop 7 displays line sharpening
(Figure S4). As both of these regions are
dynamic on several time scales in the absence of polyanions,[16,34] their configurations are inherently sensitive to any perturbation
of the protein’s active site region.This leaves us with
a situation in which the polyanions bind both
the globally unfolded (U) and fully folded (F) SOD1barrel, giving opposing mass-action terms: binding to U causes destabilization,
whereas binding to F is stabilizing. Determination of the net effect
requires thus information about the relative affinities, i.e., which
state binds the polyanion more strongly.
Polyacetate Shows the Highest
Affinity for the Unfolded Protein
From the law of mass action,
protein destabilization occurs only
when the ligands favor U over F. This can occur through either a higher
affinity or a larger number of binding sites. To find out which, we
conducted a simple titration experiment in which the polyanion concentration
was varied between equivalents of 0 and 100 mM Na+. Concentrations
of ≫100 mM precluded accurate NMR detection due to the high
ionic strength.[46] Beginning with unfolded
SOD1barrel, the results show that the five outermost N-terminal
residues titrate in parallel, with a chemical shift transition emerging
above 1 mM (Figure ). This concerted response suggests that the N-terminal region of
the unfolded chain reports on a single binding event. Even so, it
is clear from the lack of a final baseline that the experiment is
short of reaching full binding. However, under the assumption that
the binding curve is sigmoidal and involves one polyanion (m = 1), we can still draw some conclusions about the affinity
from estimates of the infliction point (MpT), i.e., the transition midpoint where the second derivative passes
zero. The relative population change is smaller between 50 and 100
mM than between 10 and 50 mM, indicating that the midpoint has already
been passed at 100 mM. Fitting of a sigmoidal function with m = 1 yields KD ≈ 65
mM Na+ equivalent. A corresponding titration of folded
SOD1barrel reveals similarly concerted chemical shift changes,
but with a binding curve shifted toward higher polyanion concentrations
(Figure ). Inspection
of the curve indicates that MpT seems
to fall far above 100 mM. This concurs with an affinity that is at
least 1 order of magnitude weaker than that for the unfolded protein,
i.e., KD ≈ 1.8 M (Figure ). It is clear from the fit
that this affinity is encumbered with large uncertainties, further
enhanced by omitting the possibilities of both higher-order phenomena
and multiple binding sites. Nonetheless, the results are fully consistent
with our kinetic and thermodynamic analysis and, hence, do not falsify
our minimalist binding model. In other words, on top of the generic
charge screening effects, polyanions appear to modulate protein stability
by preferential binding.
Discussion
Folding Causes the Polyanion
Binding to Swap Sites
Just like proteins remain functionally
dispersed in crowded cells,
the association between our polyanions (−13 to −85 e) and SOD1barrel (−0.7 e) is basically unfavored by net-charge repulsion. Even so, this net-repulsive
term can be overcome at close range, where the local side chain contributions
tend to dominate the binding potential.[47] Starting with the folded SOD1barrel structure, the chemical
shifts induced by the PAc1200 polyanion are found in the positively
charged groove defined by loops 6 and 7 (Figure ). This groove is favored over other positively
charged surface positions perhaps because it presents the most contiguous
positive field and it provides an entropic advantage in the form of
multiple, overlapping binding configurations. In other words, compared
to other grooves, it allows for a higher number of alternative binding
options, which is supported by molecular docking data (Figure ).[28] For comparison, attaching the positively charged cell-penetrating
TAT peptide to loop III of SOD1barrel induces a similar
chemical shift pattern on the protein surface that runs perpendicular
to that of the polyanion.[32] This pattern
corresponds to a more negatively charged groove, thereby enabling
binding of the linked TAT peptide.[32]When it comes to the interaction between the polyanion and unfolded
SOD1barrel, the electrostatic terms are more complex to
pin down. As a substitute for a well-defined structure, we simply
calculated here the average electric field along the protein sequence
using a Gaussian chain approximation, where the distance between two
residues along the chain is normally distributed (eqs –8 and Figure ). The
results indicate four sequence regions with positive fields. These
putative binding sites for the polyanion are along β1, β3,
β7, and β8, while NMR analysis confirms chemical shift
perturbations induced by the polyanion mainly in N-terminal strand
β1 (Figure ).
The reason for the β1 binding preference is not clear but indicates
that factors other than the average electric field are at play, e.g.,
higher structural flexibility toward the termini, where the N-terminis
shows a positive field, while the C-terminus does not. Such high dynamics
can possibly allow for higher malleability in polyanion binding.[48] Naturally, the SOD1barrel coil can
also harbor structural propensities missed by the simple Gaussian
chain approximation, explaining the observed preference for interaction
of the polyion with the disordered N-terminal region. A crucial detail
is that the observed binding site in the unfolded protein is different
from that in the folded protein; i.e., the polyanion needs to swap
from one site to another in the U ⇌ F transition (eq ).
Protein Destabilization
from Mutually Exclusive Binding Sites
In the simplest case,
protein destabilization by single-ligand
binding is modeled by a coupled six-state equilibrium[49] (Figure ). The ligand interaction is here defined by a single binding site
with different dissociation constants in the unfolded, folded, and
transition state species (KDU1, KDF1, and KD‡1, respectively) (Figure ). Although this six-state
description accurately captures the effects of, e.g., metal coordination
and single-side chain protonation,[49−52] it fails to account for the polyanion
data. The reason is that SOD1barrel displays two distinct
binding sites, i.e., the unfolded N-terminus and the active site sheet
(Figures and 6). This two-site extension yields formally nine
interconverting states, including the folding barriers (Figure ). Because the unfolded β1
and folded surface binding sites are effectively state specific, i.e.,
site 1 is available only in U and site 2 only in F, the model reduces
to six thermodynamically connected species (Figure ). The reduction also includes ‡1, as the kinetic data suggest that the dominant folding pathway
is over ‡ (Figure ). In other words, the polyanion detaches in the unfolded
ground state, yielding a selective decrease in the refolding rate
constant (Figure and Table S1). For a more detailed mechanistic description
and quantification using this minimal binding model, see the Supporting Information.
Figure 7
Thermodynamic schemes
for polyanion binding. For a system in which
the binding site is the same for both U and F, the system contains
six states, including the transition states, which can interconvert
as shown at the left. In the case of SOD1barrel binding
to the NaPAc1200 polyanion, there are two putative binding sites,
and the thermodynamic scheme therefore grows to nine states (including
the transition states). Here, only one distinct binding site is available
for U and F, and direct transitions from F1 to U1 or F2 to U2 are forbidden. This reduces the
allowed number of states from nine to six, as shown at the right.
Thermodynamic schemes
for polyanion binding. For a system in which
the binding site is the same for both U and F, the system contains
six states, including the transition states, which can interconvert
as shown at the left. In the case of SOD1barrel binding
to the NaPAc1200polyanion, there are two putative binding sites,
and the thermodynamic scheme therefore grows to nine states (including
the transition states). Here, only one distinct binding site is available
for U and F, and direct transitions from F1 to U1 or F2 to U2 are forbidden. This reduces the
allowed number of states from nine to six, as shown at the right.
Implications for the Intracellular Interactions
To
maintain cellular function, proteins display great diversity in structure,
dynamic flexibility, and physicochemical properties. Part of this
diversity is to ensure specificity for the control of complex biological
processes, and these protein features are typically highly conserved
across organisms.[1] The system, however,
also needs to avoid unspecific collapse or, at least, keep the competing
nonspecific interactions at bay.[53] Recent
findings have shown that this “background” tuning is
coded into the sequence regions that are generally considered nonconserved,
i.e., in the variable protein surfaces outside of the active sites
and specific binding interfaces.[3,14] Interestingly, these
evolutionarily variable parts of proteomes also make up a major part
of the exposed intracellular surfaces and dictate thus the system’s
“colloidal” stability and diffusive behavior.[1,14] An important term is here the repulsive net-negative charge,[1,3] which seems to keep the random protein–protein interactions
swift and reversible by balancing out promiscuous attractive forces
at short and medium range.[1] However, there
is more to it. From inspection of any nonconserved protein surface,
it is clear that it is decorated with a mixture of negative and positive
charges (Figure ),
and that these charges naturally interact upon a protein–protein
encounter. The charge distribution appears typically quite even, whereas
polarizations into contiguous regions of uniform charge are overall
rare, unless they are functionally conserved.[14,54,55] Such mixed and evenly distributed patterns
are expected to minimize the chance of attractive match upon collision,
simply because of a high likelihood of local conflicts in the charge
pairing. Following the idea of gatekeeping,[30] such surfaces may be the product of rounds of negative-design events;
i.e., fitness is increased by point mutations that obstruct a certain
interaction interface. Because evolution of new beneficial interactions
is nonetheless favored by a system that is maintained at the “brink
of collapse”, the existing charge patterns must to some extent
be kept promiscuous.[1,53] That is, the beneficial impact
of random mutations needs to be decisive enough to ensure adaptation.
It is conceivable that the polyanion binding to the surface of folded
SOD1barrel reflects such compromises in the surface-charge
distribution, which in this case is a somewhat polarized spot containing
mainly positive side chains (Figure ). Although the present polarization is partly a result
of “unnatural” loop truncation,[7] the result serves to illustrate the importance of surface-charge
details in promiscuous binding. Consistently, the positively charged
TAT peptide follows the same principle, using a more negative charge
polarization next to the PAc1200 binding site.[32] When it comes to implications for protein–protein
interactions in vivo, it is clear that densely charged
polyanions possess an electric field that is both stronger and more
condensed than in the canonical globular protein. The observed polyanion
binding can thus shed light on the limits of diffusive charge–charge
interactions or even exemplify an indiscriminate trap. Consistently,
natural proteins display overall more frustrated electrostatic fields
with mixtures of positive charges that prevent such traps in favor
of swift diffusion and specific target control.The question
is then how this situation changes upon global unfolding. Even if
the structural features of the disordered SOD1barrel remain
elusive, it is clear that the very flexibility of the unfolded state
will increase the number of binding possibilities. The loss of configurational
entropy involved in forming any of these binding sites will naturally
lower the affinity, but this penalty may be compensated by better
charge pairing, as well as some entropy gain from the flexibility
of the interaction itself. As indicated by the data, these compensatory
features still promote an affinity that is higher than that for the
folded protein. The higher affinity of the unfolded protein for charged
polyanions also sheds light on the mechanism of the observed in-cell destabilization:[6] due
to its higher flexibility, the coil can find stronger fits to the
surrounding molecules than the rigid native state. Although the binding
targets in the intracellular milieu are different from the polyanion,
they do share some of its features in the form of locally clustered
charge distributions and flexible loops. In summary, our observations
indicate thus a semispecific type of interaction that seems to rely
on charge cluster attraction rather than on precise sequence identity.
As the interaction is also strong enough to modulate protein stability,
its biological occurrence and possible role in cellular function calls
for further elucidation.
Authors: Zoya Ignatova; Beena Krishnan; Jeffrey P Bombardier; Anna Marie C Marcelino; Jiang Hong; Lila M Gierasch Journal: Biopolymers Date: 2007 Impact factor: 2.505
Authors: William B Monteith; Rachel D Cohen; Austin E Smith; Emilio Guzman-Cisneros; Gary J Pielak Journal: Proc Natl Acad Sci U S A Date: 2015-01-26 Impact factor: 11.205
Authors: Lisa Lang; Per Zetterström; Thomas Brännström; Stefan L Marklund; Jens Danielsson; Mikael Oliveberg Journal: Proc Natl Acad Sci U S A Date: 2015-07-28 Impact factor: 11.205