Coupled folding and binding of intrinsically disordered proteins (IDPs) is prevalent in biology. As the first step toward understanding the mechanism of binding, it is important to know if a reaction is 'diffusion-limited' as, if this speed limit is reached, the association must proceed through an induced fit mechanism. Here, we use a model system where the 'BH3 region' of PUMA, an IDP, forms a single, contiguous α-helix upon binding the folded protein Mcl-1. Using stopped-flow techniques, we systematically compare the rate constant for association (k(+)) under a number of solvent conditions and temperatures. We show that our system is not 'diffusion-limited', despite having a k(+) in the often-quoted 'diffusion-limited' regime (10(5)-10(6) M(-1) s(-1) at high ionic strength) and displaying an inverse dependence on solvent viscosity. These standard tests, developed for folded protein-protein interactions, are not appropriate for reactions where one protein is disordered.
Coupled folding and binding of intrinsically disordered proteins (IDPs) is prevalent in biology. As the first step toward understanding the mechanism of binding, it is important to know if a reaction is 'diffusion-limited' as, if this speed limit is reached, the association must proceed through an induced fit mechanism. Here, we use a model system where the 'BH3 region' of PUMA, an IDP, forms a single, contiguous α-helix upon binding the folded protein Mcl-1. Using stopped-flow techniques, we systematically compare the rate constant for association (k(+)) under a number of solvent conditions and temperatures. We show that our system is not 'diffusion-limited', despite having a k(+) in the often-quoted 'diffusion-limited' regime (10(5)-10(6) M(-1) s(-1) at high ionic strength) and displaying an inverse dependence on solvent viscosity. These standard tests, developed for folded protein-protein interactions, are not appropriate for reactions where one protein is disordered.
It has long been assumed that the specific,
folded, three-dimensional
structure of a protein was a prerequisite for its function in the
cell. More recently, it has been recognized that many of Nature’s
proteins have no fixed structure,[1] instead
occupying an enormous number of rapidly interconverting conformations.[2] These intrinsically disordered proteins (IDPs)
are widespread in biology[3] and, despite
their lack of structure, perform many important functions in the cell.[4] One of the ways Nature has utilized this disorder,
and maintained it in evolution, is in the form of ‘coupled
folding and binding’ whereby an unstructured IDP gains structure
only when bound to a target protein.[5] This
mode of protein–protein interaction presents an alternative
to that between the typically large, flat interfaces between two already
folded proteins. There are many potential advantages for these protein–protein
interactions[6] which could explain the high
abundance of IDPs in signaling processes and their abundance in eukaryotic
cells that rely more on complex signaling pathways.[3]Protein–protein interactions do not lead to
static complexes,
as might be inferred from the thousands of structures in the protein
data bank. The cell does not rest at equilibrium and the association
and dissociation of proteins plays a major role in the complex pathways
of life. Acquiring kinetic rate constants is vital to building up
models of these pathways.[6,7] Understanding the mechanisms
of binding, the structural changes to get to the final structure,
sheds light on the molecular principles Nature uses to tune these
rate constants. Due to their recent recognition, relatively few kinetic
studies of IDP binding have been conducted[8] and even fewer have had any mechanistic details probed.[9−12] A central question has been whether only lowly populated states
of an IDP, similar in structure to the bound form, can bind their
target (the conformational selection mechanism), or whether disordered
protein chains gain structure and ‘fold’ upon contact
with their partner protein (the induced fit mechanism).[13]The maximum rate that two proteins can
come together is physically
limited by the speed that, through perpetual random collisions with
solvent molecules, they diffuse and rotate through solution before
colliding with the correct orientation. This speed limit for association
has been labeled the ‘diffusion-limit’ and, when applied
to two folded proteins interacting, is traditionally characterized
by an association rate constant in the order of 105–106 M–1 s–1[14] and a predictable (inverse) dependence on solvent viscosity.[15,16] For two folded proteins, since there are clear binding sites and
defined unbound states, the ‘diffusion-limited’ association
rate constant can be predicted.[17] However,
a similar predictor for ‘diffusion-limited’ IDP association
is significantly more difficult due to the highly dynamic nature of
the unbound IDP. This is unfortunate, since the issue of the ‘diffusion-limit’
is of particular importance in IDP coupled folding and binding as
it has a mechanistic interpretation. Hammes et al.[18] describe how it is insufficient to consider just the rate
constants for the induced fit and conformational selection mechanisms
and ‘flux’ through both pathways must be considered.
However, in a hypothetical ‘diffusion-limited’ reaction, every correctly oriented collision between protein partners
successfully leads to the final bound complex. For an IDP association
to be ‘diffusion-limited’ all collisions with structured and unstructured chains must be successful and, given that
(by definition) most of the conformations of an IDP are unstructured,
essentially all flux must be through the induced
fit mechanism.[13,19] Experimentally, this regime could
be detected if the overall rate constant for association
(i.e., grouping all unbound states together and following this group’s
conversion to the final bound complex) is consistent with that of
a ‘diffusion-limited’ reaction.One cellular process
that relies heavily on these coupled folding
and binding reactions is that which controls apoptosis, programmed
cell death.[20] The mammalianBcl-2 family
contains a number of homologous proteins that fold to a globular,
helical structure with a deep groove on the surface.[21] This groove can accept a conserved protein sequence (labeled
the BH3 region) from another Bcl-2 family member.[25] Many proteins that contain this BH3 region are predicted
to have significant stretches of disorder, and peptides corresponding
to this region are shown to be unstructured in isolation, forming
an α-helix only upon binding this groove.[20] The Bcl-2 family’s control of apoptosis depends
on the different expression level, cell localization and binding affinities
of these ‘coupled folding and binding reactions’. Through
a complex balance of sequestering and release of the lethal proteins
BAX and BAK, these protein–protein interactions control the
permeabilization of the mitochondrial outer membrane and consequently,
cell death.[25]This study examines
the association of two components from the
Bcl-2 family, the folded protein Mcl-1 and a peptide mimic of the
unstructured, ‘BH3-only’ protein PUMA. In the bound
structure (Figure 1A), PUMA folds to form a
long α-helix with six complete turns when bound to Mcl-1.[26] This single, contiguous element of secondary
structure makes this an ideal model system to investigate the mechanism
of IDP coupled folding and binding. Given the small size and the simple
topology of the bound peptide,[27] is it
possible that the ‘folding’ is sufficiently fast that
the speed limit for association is reached and the reaction be described
as ‘diffusion-limited’? We assess this question experimentally
by systematically determining the rate constants for association in
a number of solvent conditions and temperatures. In the process, we
critically assess the appropriateness of current methods and assumptions,
previous developed for folded proteins, in the labeling of an IDP
coupled folding and binding as ‘diffusion-limited’.
Figure 1
(A) Cartoon
depicting Mcl-1 (gray) binding PUMA peptide (blue).
Unbound Mcl-1 is based on pdb 1WSX, ensemble of structures of unbound PUMA
peptide built using Chimera (UCSF)[22] and
bound structure is based on pdb 2ROC. Figure prepared using PyMol. (B) Full-length
PUMA is predicted to be entirely disordered, producing a PONDR-FIT[23] score 0.5–1.0, and has residual helicity
only in the BH3 region used in this study (magenta), as predicted
by the helical propensity predictor AGADIR.[24] (C) Consistent with a coupled folding and binding reaction, PUMA
peptide binds Mcl-1 with an increase in helicity, as shown by circular
dichroism. The 1:1 complex (black solid line) has a greater α-helical
signal than the spectrum predicted for no interaction (dashed line),
which is the sum of the PUMA alone (blue) and Mcl-1 alone (magenta)
spectra. (D) Kinetics of association between Mcl-1 and PUMA peptide
could be followed by stopped-flow fluorescence. An increase in temperature
accelerates association. Fits for irreversible association (eq 3) are shown as black lines.
(A) Cartoon
depicting Mcl-1 (gray) binding PUMA peptide (blue).
Unbound Mcl-1 is based on pdb 1WSX, ensemble of structures of unbound PUMA
peptide built using Chimera (UCSF)[22] and
bound structure is based on pdb 2ROC. Figure prepared using PyMol. (B) Full-length
PUMA is predicted to be entirely disordered, producing a PONDR-FIT[23] score 0.5–1.0, and has residual helicity
only in the BH3 region used in this study (magenta), as predicted
by the helical propensity predictor AGADIR.[24] (C) Consistent with a coupled folding and binding reaction, PUMA
peptide binds Mcl-1 with an increase in helicity, as shown by circular
dichroism. The 1:1 complex (black solid line) has a greater α-helical
signal than the spectrum predicted for no interaction (dashed line),
which is the sum of the PUMA alone (blue) and Mcl-1 alone (magenta)
spectra. (D) Kinetics of association between Mcl-1 and PUMA peptide
could be followed by stopped-flow fluorescence. An increase in temperature
accelerates association. Fits for irreversible association (eq 3) are shown as black lines.
Results
Spectroscopic Studies Reveal Coupled Folding and Binding
NMR structures have been solved for Mcl-1 in isolation (pdb 1WSX)[28] and bound to a 27 aa PUMA peptide (pdb 2ROC)[26] (Figure 1A and Figure S1). The backbone atoms for Mcl-1 in these two structures
overlay with an RMSD of 1.78 Å, consistent with only minor conformational
changes in Mcl-1: a slight opening of the surface groove, upon binding
the PUMA peptide (Figure S1). Full-length
PUMA is 193 aa long (Figure S2B) and is
predicted to be entirely disordered[23] (Figure 1B). For this study, a longer PUMA peptide than that
used in the NMR structure was chosen, 34 aa (Figure
S2A), and the termini were acetylated/amidated to remove the
terminal NH3+ and COO– charges.
This longer, capped, PUMA peptide was chosen as a better mimic of
the peptide in the context of the full length PUMA protein. Further,
studies have shown that residues outside the canonical BH3 binding
region can significantly affect the binding strength of peptide mimics.[29]Circular dichroism (CD) spectroscopy is
a convenient bulk measurement to quantify secondary structure in peptides
and proteins.[4,24] Consistent with a coupled folding
and binding reaction, CD spectra reveal that our PUMA peptide binds
to Mcl-1 to form a complex with increased α-helicity relative
to the two proteins in isolation (Figure 1C).
From the CD spectrum, it can be calculated that the PUMA peptide has
∼20% residual helicity in the unbound state (in 50 mM PO4, pH 7.0, 25 °C),[24] consistent
with the high predicted helicity of the BH3 region in the context
of the full-length PUMA protein (Figure 1B).
Unexpectedly (at concentrations above 2 μM), this particular
PUMA construct also undergoes reversible oligomerization to a highly
α-helical structure, as demonstrated by concentration dependent
CD spectra, size-exclusion chromatography and denaturing SDS-PAGE
(Figure S3). To examine only the monomeric
peptide, all other experiments were conducted at PUMA concentrations
below 1 μM.Intrinsic tryptophan fluorescence was also
used to probe the structural
changes in these proteins upon association. Upon excitation at 280
nm PUMA showed a fluorescence emission spectra characteristic for
a solvent exposed tryptophan, producing an emission maximum at 360
nm (Figure S4).[30] In contrast, Mcl-1 had a typical fluorescence spectrum for a folded
protein, with the buried/quenched tryptophans showing an emission
maximum at 330 nm. There was a significant increase in overall fluorescence
upon complex formation (Figure S4).
Kinetics of Binding
The large change in intrinsic fluorescence
was utilized to follow the kinetics of PUMA associating with Mcl-1
using rapid mixing, stopped-flow techniques. The protein and peptide
were mixed at similar concentrations and the fluorescence traces fit
well to equations describing irreversible association (eq 3, Methods), with a single
association rate constant (k+) (representative
traces are shown in Figure 1D). Traces were
also collected under pseudo-first-order conditions[9] (Supplementary Methods, Figure S5). Only one kinetic phase was seen in all experiments. The fitting
of all traces gave a concentration independent estimate of the rate
constant of association ⟨k+⟩
= 1.59 (±0.06 s.e.m.) × 107 M–1 s–1.No solvent conditions could be found
where preformed Mcl-1PUMA complex could be observed to dissociate
without unfolding the structured Mcl-1. These included using chemical
denaturants, lowering the total protein concentration, and altering
the temperature. This suggested very tight binding for the complex,
consistent with the previously reported equilibrium binding constant
(Kd) for the peptide used in the NMR structure,
determined by isothermal titration calorimetry (ITC), (0.69 nM).[26] As described above, our PUMA construct undergoes
oligomerization and, due to the high concentrations required for the
technique, precludes accurate determination of the Kd by ITC. Instead, to estimate the Kd, Mcl-1 and PUMA solutions were manually mixed at nanomolar
concentrations and the fluorescence followed (Supplementary Methods, Figure S6). At these lower concentrations,
closer to the estimated Kd, kinetic traces
should no longer fit to the equations that describe irreversible association.[31] This was indeed observed: by fitting instead
to a model including both the association and dissociation reactions
(Supplementary Methods), the dissociation
rate constant (k–), and therefore
equilibrium binding constant, could be obtained ⟨k–⟩ = 1.6 (±0.5 s.e.m.) × 10–3 s–1, ⟨Kd⟩ = 0.10 (±0.03 s.e.m.) nM.
Magnitude of k+, Ionic Strength,
and Viscosity Dependence Are Consistent with ‘Diffusion-Limited’
Association
The association rate constant (k+) for a ‘diffusion-limited’ reaction can
be predicted using a simple model.[15,32] Modeling the
proteins as two, uniformly reactive, spheres diffusing in solution,
these will collide with a rate constant described by Smoluchowski-Stokes’
equation (eq 1),where T is the temperature, R the gas constant, η the viscosity of the solution,
and r and r are the hydrodynamic radii of the two
proteins. For two proteins of equal radii, in water at 25 °C,
this gives k+ = 7.4 × 109 M–1 s–1. This is the upper limit
for k+; indeed, in the absence of electrostatic
effects, no protein–protein association rate constant has been
measured that breaks this limit.[17] This k+ estimate is relatively size independent, and
using estimates for the hydrodynamic radii Rh (Supplementary Methods) for Mcl-1
and PUMA gives k+ = 7.7 × 109 M–1 s–1. These are overestimates
of the ‘diffusion-limited’ rate constant as proteins
tend to not be uniformly reactive over their entire surface and must,
through rotational diffusion, collide with the correct orientation
e.g. Mcl-1 has a clear binding site for the PUMA peptide. Such reactions
can still be ‘diffusion-limited’ but this orientation
requirement can reduce k+ by many orders
of magnitude. Many theoretical studies introduce a constant (e.g., A) in front of eq 1 to account for
this[33,34] (eq 2),This gives the quoted range (105–106 M–1 s–1) for a ‘diffusion-limited’ reaction[14] and these are confirmed by experimental data on folded
protein–protein interactions.[17] The
experimental k+ for Mcl-1PUMA appears,
at first sight, to exceed this ⟨k+⟩ = 1.59 (±0.06 s.e.m.) × 107 M–1 s–1.This apparent discrepancy can be explained
by long-range electrostatic
interactions which have been shown to significantly influence protein–protein
association[35] and are not taken into account
in the model above. At pH 7.0, PUMA and Mcl-1 are estimated to have
opposite net charges[36] and, to compare
with the Smoluchowski result above, these potentially favorable interactions
must be taken into account. Salt can be used to screen these interactions
and k+ was measured in solutions with
different concentrations of NaCl and therefore, varying ionic strengths
(I) (Figure 2A). The results
were fit to an empirical relationship between I and k+(14) (eq 4) (Figure 2A and Figure S7) and the rate constant in the absence of long-range
electrostatics (k+basal) could be estimated k+basal = 6 (±1) × 105 M–1 s–1, that is, comfortably inside
the ‘diffusion-limited’ range of 105–106 M–1 s–1.
Figure 2
(A) Association is partly
driven by electrostatic interactions
between PUMA and Mcl-1 and k+ is highly
dependent on the ionic strength of the solution. Where repeat measurements
were made standard errors are shown as error bars. The fit of the
data to eq 4 is shown (black line) (see also Figure S7). No buffer specific effects are seen
as the rate constant in the standard biophysics buffer (50 mM PO4, pH 7, I = 109 mM, ○) matches that
in the MOPS buffer with I corrected using NaCl (●).
(B) k+ is highly dependent on the solvent
viscosity; there is good agreement between the experimental k+ (●) and the predicted k+ (k+ = k0η0/η, ○). (C) The standard
viscosity plot for relative rate constant vs relative viscosity has
a slope close to unity 1.13 ± 0.02 (shown as a black line), for
comparison a slope of 1 is shown as a dashed line.
(A) Association is partly
driven by electrostatic interactions
between PUMA and Mcl-1 and k+ is highly
dependent on the ionic strength of the solution. Where repeat measurements
were made standard errors are shown as error bars. The fit of the
data to eq 4 is shown (black line) (see also Figure S7). No buffer specific effects are seen
as the rate constant in the standard biophysics buffer (50 mM PO4, pH 7, I = 109 mM, ○) matches that
in the MOPS buffer with I corrected using NaCl (●).
(B) k+ is highly dependent on the solvent
viscosity; there is good agreement between the experimental k+ (●) and the predicted k+ (k+ = k0η0/η, ○). (C) The standard
viscosity plot for relative rate constant vs relative viscosity has
a slope close to unity 1.13 ± 0.02 (shown as a black line), for
comparison a slope of 1 is shown as a dashed line.Given that the rate constant, in the absence of
electrostatics, k+basal, suggested a ‘diffusion-limited’
reaction, we sought to confirm this using another assay. If ‘diffusion-limited’, k+ should be inversely proportional to solvent
viscosity (η) (as suggested by eqs 1 and 2)[15,16] and k+ should be predicted by k0η0/η where k0 and η0 are, respectively, the rate constant and solvent viscosity
in the absence of a viscous cosolvent. We measured k+ in varying concentrations of the small-molecule viscogen
glucose and the observed k+ did indeed
match the predicted rate constant (k0η0/η) (Figure 2B) and produce the
standard viscosity plot[37] (k0/k vs η/η0) with the expected slope for a ‘diffusion-limited’
reaction, ∼1 (Figure 2C).The
association of Mcl-1 and PUMA appears to satisfy the two criteria
for a ‘diffusion-limited’ reaction: an inverse dependence
on viscosity and k+basal in the range
105–106 M–1 s–1. On the basis of these measurements alone, the conclusion could
be drawn that the reaction mechanism is induced fit. However, the k+ range 105–106 M–1 s–1 is based on the orientation
constraints for two folded proteins associating, and as stated earlier,
due to the dynamic unbound state of the IDP, there is no reason to
assume this calculated range is appropriate for these ‘coupled
folding and binding’ reactions. Also, the use of viscous cosolvents
to label a reaction ‘diffusion-limited’ has been criticized.[37,38] To address these issues, we sought further evidence before drawing
any mechanistic interpretation.
Temperature and Denaturant Dependence of k+ Are Not Consistent with ‘Diffusion-Limited’
Association
Continuing to use the simplest spherical model
(eq 2), which essentially only considers whole-protein
translation and rotation, it was predicted that as temperature (T) was raised k+ would increase.
Higher T facilitates faster diffusion, both through
the T term in eqs 1 and 2 and through the reduced viscosity (η) of the
aqueous solvent. k+ does indeed increase
with temperature and association is accelerated (see Figure 1D).In an attempt to determine the orientation
constant A in eq 2, k+ was plotted against T/η
(Figure 3A, filled circles). If the reaction
was adequately modeled by colliding spheres, and followed eq 2, k+ should be directly
proportional to T/η (e.g., Figure 3A, open circles). This is clearly not the case and
a straight line fit of k+ versus T/η has a non-zero intercept (Figure 3A, filled circles). Alternatively, these data can be plotted
in an analogous way to the standard viscosity plot[37] (such as the one shown in Figure 2C) providing both sources of temperature dependence are taken into
account. If eq 2 were satisfied, then a plot
of k0T/kT0 versus
η/η0 should be linear, with a slope of 1 (dashed
line, Figure 3B); however, curvature is observed
(filled circles, Figure 3B).
Figure 3
(A) The experimental
association rate constant k+ (●)
is not directly proportional to T/η, as would
be predicted for a ‘diffusion-limited’
reaction according to eq 2 (○, arbitrarily
drawn through the 10 °C data point). Where repeat measurements
were made, standard errors are shown as error bars. (B) Temperature
corrected viscosity plot shows clear nonlinearity, in contrast to
what is expected for a ‘diffusion-limited’ reaction
(gradient of 1 shown as a dashed line). (C) k+ is reduced by increasing the concentration of the denaturant
urea (●) and this effect is not accounted for by the slower
diffusion due to changes in solvent viscosity (k+ = k0η0/η,
○). (D) The log of the rate constant is linearly dependent
on urea concentration, suggesting that a structured state is being
energetically disfavored.
(A) The experimental
association rate constant k+ (●)
is not directly proportional to T/η, as would
be predicted for a ‘diffusion-limited’
reaction according to eq 2 (○, arbitrarily
drawn through the 10 °C data point). Where repeat measurements
were made, standard errors are shown as error bars. (B) Temperature
corrected viscosity plot shows clear nonlinearity, in contrast to
what is expected for a ‘diffusion-limited’ reaction
(gradient of 1 shown as a dashed line). (C) k+ is reduced by increasing the concentration of the denaturant
urea (●) and this effect is not accounted for by the slower
diffusion due to changes in solvent viscosity (k+ = k0η0/η,
○). (D) The log of the rate constant is linearly dependent
on urea concentration, suggesting that a structured state is being
energetically disfavored.These results suggest that large-scale, whole-protein
motion (i.e.,
modeling as spheres) is not sufficient to explain the temperature
dependence of k+ and, unless the orientation
constant A has a strong temperature dependence, the
reaction is unlikely to be ‘diffusion-limited’. Simply
colliding with the correct orientation is not sufficient for complex
formation and the conformations or energetics of the proteins are,
in some way, preventing this ‘diffusion-limit’ from
being reached. It is interesting to note that as the temperature is
raised, the reaction is faster than expected (i.e.,
in Figure 3A, filled circles have a larger
gradient than the open circles). Either higher temperatures are favoring
conformations of PUMA that are more binding competent (vide infra)
or Arrhenius behavior is occurring and there is an enthalpic barrier
to this association reaction.Urea is a denaturing cosolvent
used in protein folding studies
to energetically disfavor structured states. Empirically it has been
found that the Gibbs free energy of such a state is linearly increased
by urea concentration by a constant termed an m-value.[39] However, increasing urea concentrations also
makes solutions more viscous. If the reaction between PUMA and Mcl-1
is purely ‘diffusion-limited’, and the conformations
of the peptide do not affect the speed of the reaction, then k+ should decrease with concentration of urea
in a similar way to glucose, inversely with relative viscosity (N.B.
Mcl-1 remains folded, Figure S8). Interestingly, k+ (filled circles, Figure 3C) decreased by significantly more than what would be expected due
to viscosity effects alone (open circles, Figure 3C). Further, the natural log of k+ against concentration of urea is linear, with a gradient of m = 0.55 (±0.02) M–1 (Figure 3D). Similar to the temperature dependence, this
urea dependence suggests that the conformations and energetics of
the proteins are important to the reaction and are, in some way, preventing
the ‘diffusion-limit’ from being reached. Further, the
linear dependence of ln(k+) would suggest
that a structured state, vital along the binding reaction coordinate,
is being energetically disfavored by the addition of urea.
Changes in IDP Ensemble with Solvent Composition and Temperature
Association (at 1–0.25 μM) was effectively irreversible
for all solvent conditions. If the reaction were truly ‘diffusion-limited’
the helicity of PUMA should not affect the speed of the reaction as all conformations, if colliding with the correct orientation,
would successfully lead to the final complex. Given that the temperature
and urea dependence of k+ suggest that
this is not the case, then the conformations of the IDP must be examined.
Due to the complications of the peptide oligomerizing at concentrations
greater than 2 μM, many experimental techniques to quantify
residual structure were not feasible. However, CD could still be used
to give a measure of the α-helical content in the unbound state.
Qualitatively, the peptide was less helical at higher temperatures
(Figure S9). This ‘melting’
of PUMA’s helicity could alter the effective radius of the
PUMA peptide and could complicate the analysis of the temperature
dependence. However, as mentioned above, eq 1 and eq 2 are relatively insensitive to the
radii of the proteins and this effect is unlikely to explain the results
seen above (see Supporting Information).
The intrinsic helicity of PUMA showed little ionic strength dependence
but was reduced in the presence of urea (Figure
S9). It is interesting to note that at higher temperatures
association was faster than expected, despite the reduced helicity
of the peptide, whereas the reverse was true for the peptide in the
presence of denaturant. Thus, there is no clear relationship between
solvent induced changes in helicity and association rate constant.
Attaching a Molecular ‘Ball and Chain’ Does Not
Affect Association
To further investigate the effect of diffusion
on the association reaction, an artificial fusion protein was constructed:
a 90 aa chain containing a soluble GB1 domain[40] was fused to the N-terminus of the 34 aa PUMA peptide (GB1-PUMA)
(Figure 4A and Figure S2D) to act as a molecular ‘ball and chain’. This extension
is likely to exert its effect on the binding through the association
rate constant; with slower diffusion than the smaller peptide it was
predicted to have a reduced k+. The association
could also be hindered by steric clashing from the extra protein chain,
alter the conformations of the unbound BH3 region or even accelerate
the reaction by enhancing the capture radius.[41] GB1-PUMA bound Mcl-1 with a similar increase in fluorescence and
the kinetics of their interaction could be followed in a similar manner
to the PUMA peptide. Surprisingly, the k+ of the PUMABH3 binding region is largely unaffected by the presence
of extra protein chain, GB1-PUMA ⟨k+⟩ = 1.29 (±0.03 s.e.m.) × 107 M–1 s–1 and PUMA peptide 1.59 (±0.06 s.e.m.)
× 107 M–1 s–1 in
the standard biophysics buffer (see Methods). The GB1-PUMA construct also showed essentially identical k+ temperature dependence (Figure 4B). Interestingly, despite the number of extra charged amino
acids, k+ also shows similar ionic strength
dependence. When fit to eq 4, GB1-PUMA and PUMA
have similar values of rate constant in the absence of electrostatic
effects (Figure S7), k+basal= 2.0 (±0.4) × 105 M–1 s–1 (Figure 4C) and k+basal= 6 (±1) × 105 M–1 s–1, respectively.
Figure 4
(A) Cartoon depicting
Mcl-1 (gray) binding GB1-PUMA peptide (green).
Unbound Mcl-1 is based on pdb 1WSX, cartoon of unbound GB1-PUMA peptide
is based on pdb 3GB1, built using Chimera (UCSF),[22] and bound
structure is based on pdb 2ROC. Figure prepared using PyMol. (B) The rate constant
for GB1-PUMA (green □) Mcl-1 association has a very similar
temperature dependence to the smaller PUMA peptide (●). Where
repeat measurements were made standard errors are shown as error bars.
(C) GB1-PUMA (green □) k+ is very
dependent on ionic strength and shows very similar behavior to the
PUMA peptide (black circles). The fit to the data shown here (black
line) is obtained from a plot of ln(k+) vs 1/(1 + κa) (Figure
S7, Methods).
(A) Cartoon depicting
Mcl-1 (gray) binding GB1-PUMA peptide (green).
Unbound Mcl-1 is based on pdb 1WSX, cartoon of unbound GB1-PUMA peptide
is based on pdb 3GB1, built using Chimera (UCSF),[22] and bound
structure is based on pdb 2ROC. Figure prepared using PyMol. (B) The rate constant
for GB1-PUMA (green □) Mcl-1 association has a very similar
temperature dependence to the smaller PUMA peptide (●). Where
repeat measurements were made standard errors are shown as error bars.
(C) GB1-PUMA (green □) k+ is very
dependent on ionic strength and shows very similar behavior to the
PUMA peptide (black circles). The fit to the data shown here (black
line) is obtained from a plot of ln(k+) vs 1/(1 + κa) (Figure
S7, Methods).
Discussion
The binding of BH3 regions to folded Bcl-2
family members is, due
to their important physiological role and the large number of homologues,
one of the most heavily studied coupled folding and binding reactions,
particularly with respect to equilibrium binding constants obtained
and structures solved.[21,29] BH3 peptides have potential therapeutic
value and have been the focus for the design of peptide-based mimics,
including hydrocarbon staples,[42] α/β-peptides,[43] miniature proteins[44] and photoswitchable peptides.[45] To understand
the general principles of binding, knowledge of kinetics, not just
thermodynamics, is essential. Here, we report the first solution phase
kinetics for BH3 peptide association and demonstrate the utility of
stopped-flow experiments in the study of these interactions. We also
show how careful kinetic analysis can be used to obtain a Kd when binding is tight and other techniques
are not accessible. Consistent with the low, subnanomolar, Kd value obtained, PUMA has been shown to bind
the folded Bcl-2 members with greater affinity than most other BH3
peptides.[29] This ties in with the main
function of PUMA, which, upon cellular DNA damage and its expression,[46] is to compete with and displace proteins whose
release eventually leads the cell to apoptosis.[25]The micromolar oligomerization of the PUMABH3 region,
if physiologically
relevant, is unlikely to affect its nanomolar binding to Mcl-1 and
other Bcl-2 members. Although, of course, this would depend on the
relative and absolute concentrations of all species involved. The
helical propensity of the PUMA peptide and its amphipathic nature
are likely responsible for the formation of these α-helical
oligomers. This study reiterates the need to check for these second
order effects when using similar amphipathic peptides or their peptide-based
mimics. Finally, the relative insensitivity of the PUMA peptide association
rate constant to being part of a larger protein (GB1-PUMA) is also
important for peptide binding studies. Many laboratories use BH3 peptides
as mimics of the presumably exposed BH3 region as part of a larger
protein chain.[21,29] This result, at least, suggests
that this is an appropriate strategy.
The Data Do Not Allow Us To Determine the Mechanism of Binding
We show that Mcl-1 and PUMA association is not ‘diffusion-limited’
and, therefore, does not necessarily go through the
induced fit mechanism. However, the data presented here cannot be used to determine whether association occurs through induced
fit or conformational selection or, if both are occurring, to determine
their respective fluxes.[18] The temperature
and denaturant dependence of k+ suggests
that there is an energy barrier component to k+ and that some structured state is critical along the reaction
coordinate. Importantly, this could support either mechanism: the
structured state could be a structured, binding competent state of
the unbound peptide (i.e., conformational selection), or the transition
state/encounter complex in the folding of the peptide upon the surface
of Mcl-1 (i.e., induced fit). We note that, as there is no correlation
between the helicity of the peptide and the association rate, it is
unlikely that association goes via a pure conformational
selection mechanism, where the entire PUMA peptide has to be folded
before binding.
Conclusions
Many studies have described a fast protein–protein
association
reaction as ‘diffusion-limited’, or nearly ‘diffusion-limited’,
based on the magnitude of the measured association rate constant,[47,48] and/or its inverse dependence on solvent viscosity.[49,50] Here, we show, in the case of IDP coupled folding and binding, that
this behavior is necessary but not sufficient to confidently label
a reaction as ‘diffusion-limit’. For the binding of
PUMA and Mcl-1, further experiments are required to tease out details
of the binding mechanism and understand why such an important function,
the regulation of programmed cell death, is under the control of disordered
proteins.
Methods
Protein Expression and Purification
The synthetic genes
for truncated mouseMcl-1 (UniProt P97287) with 151 N-terminal residues and
23 C-terminal residues removed (Figure S2C) and GB1-PUMA (Figure S2D) were obtained
from Genscript. The genes were inserted into a modified version of
the pRSET A vector that encodes an N-terminal hexahistidine tag with
a thrombin cleavage site between the tag and the protein. Due to the
cleavage of thrombin, a GS is added at the N-termini of Mcl-1. Protein
expression was carried out in Escherichia coli C41
(DE3) grown in LB media at 37 °C. Expression was induced, once
the cells reached an optical density at 600 nm of 0.4–0.6 AU,
by adding IPTG to a final concentration of 0.1 mM and reducing the
expression temperature to 18 °C. The cells were grown overnight
and harvested by centrifugation. The harvested cells were sonicated
and centrifuged, and the protein purified from the soluble fraction
by affinity chromatography on Ni2+-agarose resin. Bound
protein was removed by thrombin cleavage for Mcl-1, elution with 250
mM imidazole for GB1-PUMA, and further purified by gel filtration
using Superdex G75. All proteins were stored at 4 °C. Identity
was confirmed using mass spectrometry, the concentration of GB1-PUMA
was determined by the method of Gill von Hippel,[36] and the concentration of Mcl-1 was determined using amino
acid analysis.
Peptide Synthesis and Purification
MousePUMA peptide,
residues 128–161 (Uniprot Q99ML1) with the M144I mutation used in
the NMR structure 2ROC[26], together with
N-terminal acetylation and C-terminal amidation, was synthesized by
Selleck Chemicals. Peptide was reconstituted using H2O,
then further purified using gel filtration using Superdex G30. Peptides
were filtered before freezing using N2(l), and storage
at −80 °C. Peptide concentration was determined using
amino acid analysis and identity confirmed using mass spectrometry.
Buffers
Unless otherwise stated, experiments were carried
out in 50 mM sodium phosphate, pH 7.0. For the ionic strength dependence
of association protein and peptide were exchanged to the low ionic
strength 10 mM MOPS, pH 7.0, buffer (I = 0.004 M)
and then ionic strength was controlled using [NaCl]. NaOH was titrated
to maintain neutral pH upon addition of NaCl.
Circular Dichroism
CD scans were taken in an Applied
Photophysics Chirascan, using 10 to 2 mm path length cuvettes. Percentage
helicity calculated using the mean residue ellipticity at 222 nm.[24]
Kinetics
Association kinetics were monitored by following
the change in intrinsic fluorescence on an SX18 or SX20 stopped-flow
spectrometer (Applied Photophysics). All PUMA solutions were incubated
at 25 °C for 30 min before use to allow for dissociation of oligomers.
Because of mixing artifacts, data collected before the first 5 ms
were removed before fitting. Proteins were mixed at near equal (1–0.25
μM) concentrations. Association kinetics were analyzed using
eq 3(51) that describes
irreversible association of two proteins at initial concentrations
[A]0 and [B]0:where F is fluorescence, F0 the initial fluorescence, ΔF is the fluorescence amplitude of the reaction, [A]0 is the initial concentration of one protein, [B]0 the other, x = [B]0/[A]0, k+ is the association rate constant, and t is time. Where repeat measurements were made, standard
errors are shown as error bars. Errors were propagated using standard
equations.
Ionic Strength analysis
Empirically is has been shown
that the variation of association rate constant with ionic strength
can be fit to a Debye–Hückel-like approximation (eq 4).[14]where k+ is the
association rate constant, k+basal the
basal association rate in absence of electrostatic effects, R the gas constant, T the temperature,
κ the inverse of the Debye length, a the minimal
length of approach (set to 6 Å) and U the electrostatic
energy of interaction.[14]
Authors: Catherine L Day; Lin Chen; Sarah J Richardson; Penny J Harrison; David C S Huang; Mark G Hinds Journal: J Biol Chem Date: 2004-11-18 Impact factor: 5.157
Authors: Joseph M Rogers; Vladimiras Oleinikovas; Sarah L Shammas; Chi T Wong; David De Sancho; Christopher M Baker; Jane Clarke Journal: Proc Natl Acad Sci U S A Date: 2014-10-13 Impact factor: 11.205
Authors: Francois-Xavier Theillet; Andres Binolfi; Tamara Frembgen-Kesner; Karan Hingorani; Mohona Sarkar; Ciara Kyne; Conggang Li; Peter B Crowley; Lila Gierasch; Gary J Pielak; Adrian H Elcock; Anne Gershenson; Philipp Selenko Journal: Chem Rev Date: 2014-06-05 Impact factor: 60.622
Authors: Tyler S Harmon; Michael D Crabtree; Sarah L Shammas; Ammon E Posey; Jane Clarke; Rohit V Pappu Journal: Protein Eng Des Sel Date: 2016-08-08 Impact factor: 1.650