ATP-dependent binding of the chaperonin GroEL to its cofactor GroES forms a cavity in which encapsulated substrate proteins can fold in isolation from bulk solution. It has been suggested that folding in the cavity may differ from that in bulk solution owing to steric confinement, interactions with the cavity walls, and differences between the properties of cavity-confined and bulk water. However, experimental data regarding the cavity-confined water are lacking. Here, we report measurements of water density and diffusion dynamics in the vicinity of a spin label attached to a cysteine in the Tyr71 → Cys GroES mutant obtained using two magnetic resonance techniques: electron-spin echo envelope modulation and Overhauser dynamic nuclear polarization. Residue 71 in GroES is fully exposed to bulk water in free GroES and to confined water within the cavity of the GroEL-GroES complex. Our data show that water density and translational dynamics in the vicinity of the label do not change upon complex formation, thus indicating that bulk water-exposed and cavity-confined GroES surface water share similar properties. Interestingly, the diffusion dynamics of water near the GroES surface are found to be unusually fast relative to other protein surfaces studied. The implications of these findings for chaperonin-assisted folding mechanisms are discussed.
ATP-dependent binding of the chaperonin GroEL to its cofactor GroES forms a cavity in which encapsulated substrate proteins can fold in isolation from bulk solution. It has been suggested that folding in the cavity may differ from that in bulk solution owing to steric confinement, interactions with the cavity walls, and differences between the properties of cavity-confined and bulk water. However, experimental data regarding the cavity-confined water are lacking. Here, we report measurements of water density and diffusion dynamics in the vicinity of a spin label attached to a cysteine in the Tyr71 → Cys GroES mutant obtained using two magnetic resonance techniques: electron-spin echo envelope modulation and Overhauser dynamic nuclear polarization. Residue 71 in GroES is fully exposed to bulk water in free GroES and to confined water within the cavity of the GroEL-GroES complex. Our data show that water density and translational dynamics in the vicinity of the label do not change upon complex formation, thus indicating that bulk water-exposed and cavity-confined GroES surface water share similar properties. Interestingly, the diffusion dynamics of water near the GroES surface are found to be unusually fast relative to other protein surfaces studied. The implications of these findings for chaperonin-assisted folding mechanisms are discussed.
The Escherichia coli GroE chaperonin
system facilitates protein folding in vivo and in vitro in an ATP-dependent manner (for reviews see, for
example, refs (1−3)). It comprises GroEL,
an oligomer of 14 identical subunits that form two heptameric rings,
stacked back-to-back, with a cavity at each end[4] in which protein folding can take place in a protective
environment, and its helper-protein GroES, which is a homoheptameric
single ring. The GroE system is essential for the folding of only
a small subset of E. coli proteins
(<100) but what distinguishes GroE clients from all other E. coli proteins remains unclear.[5] Obligate substrates or other non-native proteins can become
encapsulated in the GroEL cavity when GroES binds to the apical domains[6] of a substrate- and ATP-occupied GroEL ring.
The substrates are then discharged into bulk solution, either folded
or not, following GroES dissociation that is triggered by ATP hydrolysis
in the GroES-bound cis GroEL ring and ATP binding
to the opposite trans GroEL ring (see refs (2 and 7) for detailed schemes of current
models of the GroE reaction cycle). The reaction cycle of GroEL is
governed by the cooperative binding of ATP that is positive within
rings and negative between rings.[2] The
intraring positive allostery facilitates cycling of the GroEL rings
between protein substrate acceptor and release states. Inter-ring
negative allostery ensures that the two rings can operate out-of-phase
with respect to each other and that ATP binding to one ring triggers
GroES release from the opposite ring.[1−3] However, the role of
the inter-ring allostery is less clear when the symmetric “football-shaped”
GroEL–GroES2 complex (and not the asymmetric GroEL–GroES
complex) is the active species of this nanomachine.[7]Despite more than two decades of intensive research,
it remains
unclear and controversial whether the cavity of the GroEL–GroES
complex is only a “passive cage” in which aggregation
is prevented but the folding pathway is unchanged[8] or a chamber that has evolved to optimize the folding process
itself.[9,10] Factors that could influence the folding
reaction inside the GroEL cavity are steric confinement,[9,10] the chemical nature of the cavity walls[9,10] and
the properties of the cavity-confined water, which may, in fact, be
intimately linked to the steric and/or chemical effects of the confinement
imposed by the GroEL interior surface.[11] The extent of steric confinement and the chemical nature of the
cavity walls are known from the crystal structure of the GroEL–GroES
complex,[6] but there is no available experimental
data regarding the properties of the cavity water. Specifically, insight
into the diffusion dynamics of water within the GroEL cavity can offer
critical clues about the GroEL surface water attraction and may allow
us to hypothesize about the stability and folding potential of proteins
entering the GroEL cavity. If water is interacting favorably with
the interior surface of the GroEL cavity, as would be reflected in
strongly retarded, rigidified, surface water dynamics,[12] then a protein substrate that is encapsulated
in the cavity will experience a strongly repulsive hydration barrier
from the GroEL surface and, thus, tend to fold in order to bury its
hydrophobic residues.[11] By contrast, the
hydrophobic nature of the cavity walls in GroEL’s substrate
acceptor state[4,6] may be reflected in nonretarded,
fast diffusing, surface water dynamics that disfavor substrate folding.
Equally interesting is the surface of the GroES lid: is it strongly
or weakly hydrated and do the hydration level and dynamics change
upon formation of the GroEL–GroES complex? The hydration properties
of the GroEL cavity have been the focus of computational studies that
indicated, for example, that GroEL’s ability to assist folding
scales with the affinity for water of the cavity’s interior
surface.[11] However, direct experimental
measurements of properties of confined water in the GroEL cavity have
not yet been reported. In this study, we present the first such experimental
measurements for water near the surface of free GroES and the same
surface when it faces the cavity of the GroEL–GroES complex.The experiments described here combine site-directed spin labeling
(SDSL) with two state-of-the-art magnetic resonance techniques: electron-spin
echo envelope modulation (ESEEM) and Overhauser dynamic nuclear polarization–enhanced
nuclear magnetic resonance (ODNP-NMR). A single site, Tyr71, in GroES
was replaced by site-directed mutagenesis with a cysteine to which
a nitroxide spin label, N-(1-oxyl-2,2,5,5- tetramethyl
pyrrolidinyl)-maleimide, was attached. This position
was chosen since it is fully exposed to bulk water in unbound GroES
and, upon GroEL–GroES complex formation, faces the confined
water inside the chaperonin cavity (Figure 1A,B).
Figure 1
(A) Side and (B) top views of single-ring GroEL in complex with
spin-labeled GroES. GroEL and GroES in the crystal structure of the
GroEL–GroES complex (PDB code: 1AON)[6] are represented
by space-filling (in gray) and ball-and-stick (in magenta) models,
respectively. The labeled GroES subunit is shown in a darker magenta.
The sulfur, carbon, nitrogen, and oxygen atoms of the spin label are
shown in orange, yellow, blue, and red, respectively. In panel A,
the apical, intermediate and equatorial domains are designated by a, i, and e, respectively,
and two subunits of GroEL were removed in order to reveal the cavity.
In the single-ring GroEL–GroES complex, the spin-labels are
exposed to confined water in the cavity and are not close to any residues
of GroEL. The figure was generated using the Chimera software.[52]
(A) Side and (B) top views of single-ring GroEL in complex with
spin-labeled GroES. GroEL and GroES in the crystal structure of the
GroEL–GroES complex (PDB code: 1AON)[6] are represented
by space-filling (in gray) and ball-and-stick (in magenta) models,
respectively. The labeled GroES subunit is shown in a darker magenta.
The sulfur, carbon, nitrogen, and oxygen atoms of the spin label are
shown in orange, yellow, blue, and red, respectively. In panel A,
the apical, intermediate and equatorial domains are designated by a, i, and e, respectively,
and two subunits of GroEL were removed in order to reveal the cavity.
In the single-ring GroEL–GroES complex, the spin-labels are
exposed to confined water in the cavity and are not close to any residues
of GroEL. The figure was generated using the Chimera software.[52]Importantly, the spin label at this position is sufficiently
far-removed
from residues in the cavity wall, with the closest residue being Asn299,
whose Cβ side-chain atom is about 17 Å away
from the nitroxideoxygen. The single-ring (SR1) version of GroEL
with the mutation Asp398 → Ala that slows ATP hydrolysis considerably[13] was studied here instead of wild-type GroEL
in order to minimize dissociation of the labeled GroES from GroEL.
The cavity properties and intraring allostery[14,15] of SR1 are similar to those of wild-type GroEL.ESEEM and
ODNP-NMR spectroscopy at X-band (∼10 GHz) frequencies
and a magnetic field of 0.35 T were employed to probe the properties
of local water within the chaperonin cavity. In order to probe the
amount of water in the vicinity of the spin label that protrudes into
the cavity of the GroES–GroEL complex and can sense its upper
region, the well-established ESEEM technique was employed for measuring
hyperfine interactions between the electron spin of the label and
nearby nuclear spins.[16] When the hyperfine
interaction is very weak, its isotropic part is zero and the anisotropic
part can be described by the point dipole interaction between the
electron spin and the nuclear spin, whose strength is inversely proportional
to the cube of their distance, r. In such cases,
this interaction is manifested as modulations in the electron spin
echo decay that oscillate at a frequency equal to the Larmor frequencies
of the coupled nuclei, and the number of weakly coupled magnetic nuclei
and their average distances from the electron spin are reflected in
the modulation depth. By combining ESEEM of 2H nuclei in
D2O solutions with spin labeling, it is possible to probe
the number of D2O molecules in the vicinity of the spin-labeled
residue Cys71 (up to about 8 Å) without interferences from the
protein protons. This method has been successfully used to derive
the water penetration depth in membranes[17,18] and water exposure of protein residues.[19,20]ESEEM measurements are usually carried out in frozen solutions
and cannot probe the dynamic properties of protein surface water.
To get information regarding dynamics under solution conditions at
room temperature, we applied ODNP-NMR relaxometry[21,22] to probe the diffusion dynamics of water near the spin-labeled Cys71.
ODNP selectively amplifies the 1H NMR signal of the local
hydration water around a specific spin label (within 5–10 Å)
of a protein site by transferring polarization from the electron spin
to the nearby moving water molecules using the same anisotropic hyperfine
interaction mentioned above (alternatively termed the electron-nuclear
dipole–dipole interaction). ODNP relies on the enhancement
of the 1H NMR signal of water at 0.35 T and ∼15
MHz that is achieved by saturating the electron spin resonance (ESR)
transitions at ∼10 GHz. Since only the 1H of water
molecules that move fast (relative to ∼10 GHz) experience electron-1H spin flip-flops that give rise to 1H NMR signal
enhancement, ODNP can be exploited to quantify local water diffusivity
near the nitroxide spin label. The motion of hydration water is characterized
by a translational diffusion correlation time (τc), which represents the time needed for water to diffuse near the
spin label within a distance b (typically 5–10
Å, as determined by the electron-1H dipolar coupling
field) and is inversely proportional to the local diffusion coefficient
(D), i.e., with τc ∝ b2/D. Crucially, ODNP, when
combined with 1H NMR relaxation time measurements, can
separate contributions of freely diffusively translating hydration
water (kσ, picosecond time scale)
from motional fluctuations that occur on a slower time scale (klow, nanosecond time scale).[22] Weak protein surface water attraction will be reflected
in small τc and large D and large kσ values. Strong protein surface water
attraction will present the opposite trend of large τc and small D and small kσ values. In addition, there can be contributions from strongly bound
water on protein surfaces with lifetimes exceeding ∼1 ns, whose
presence would be reflected in a large klow value that increases as the rotational tumbling of the protein is
slowed, for example, upon immobilization or immersion in a viscous
solvent. Using this approach, the hydration dynamics landscape around
lipid membranes[23] and proteins[24,25] has been mapped out recently with site-specificity.It should
be noted that protein site-specific correlation times
for hydration dynamics have also been measured using ultrafast laser
methods that monitor the relaxation of water around an excited tryptophan
electric dipole by probing time-resolved Stokes shifts.[26−29] In these studies, all the modes of electric dipolar rearrangements
from fs to ps can be captured. Time constants of several ps have generally
been assigned in these studies to reorientation of water molecules
and slower time constants of tens of ps to slow/bound water or collective
translational motion. Time scales of hundreds of ps have also been
reported for specific protein sites. By contrast, values of τc of hundreds of ps determined using ODNP reflect, like in
previous NMR relaxometry studies,[30,31] only the translational
diffusive motion of water in equilibrium. Time scales derived from
different physical measurements are, therefore, best compared in terms
of a relative change (e.g., retardation factor)[22] to assess “slow” and “fast”
water dynamics on or near a biological surface of interest.Here, we report on measurements, using both the ESEEM and ODNP
techniques, that indicate that the formation of the GroES–GroEL
complex does not induce significant changes in the local water density,
level of hydration, dynamics of surface water, or the dynamics of
the spin label itself compared to those of free GroES. Interestingly,
we find that the water dynamics at the GroES surface are minimally
retarded relative to bulk water, unlike the significantly slowed water
dynamics observed in cases of hydrophilic lipid membrane surfaces[32] or representative protein surfaces.[12] This implies that the GroES surface is not attracting
water significantly and that the GroES surface-water vs bulk water–water
interaction is balanced, so that the interaction of other biomolecular
constituents (e.g., protein substrates) with the GroES surface is
relatively unhindered.
Materials and Methods
Molecular
Biology
The gene coding for GroES fused to
a His6-tag at its C-terminus and containing the Tyr71 →
Cys mutation was generated using the plasmid pOA[33] and the Quick-Change site-directed mutagenesis kit (Stratagene,
La Jolla, CA). The His6-tag was introduced in two steps
using the forward (and corresponding back) primers: His-tag 1,5′-CAAA
GGAGAGTTATCAATGCACCATCACCATCACCATTTGATTCGTCCATTGCATGATCG-3′;
His-tag 2,5′-GCACCATCACCATCACCATAATATTCGTCCATTGCATGATCG-3′.
The Tyr71 → Cys mutation was introduced using the forward primer:
5′-CGTTATTTTCAACGATGGCTGCGGTGTGAAATCTGAGAAGATCG -3′
and the corresponding back primer. DNA sequencing of the entire GroES
gene was carried out to verify that the desired construct was obtained.
Protein Purification
GroES was purified by growing E. coliTG1 cells bearing the plasmid described above
overnight at 37 °C in 2xTY medium containing 50 μg/mL ampicillin.
The overnight culture was diluted 1:100 in 2xTY medium containing
50 μg/mL ampicillin, grown overnight at 37 °C and harvested.
The pellet was resuspended in 50 mM Tris-HCl buffer (pH 7.5) containing
10% (w/v) sucrose, centrifuged, and stored at −80 °C until
further use. It was then resuspended in 50 mM Tris-HCl buffer (pH
7.5) containing 0.5 M NaCl, 10 mM β-mercaptoethanol, 10 mM imidazole
(buffer A), and 1 mM phenylmethanesulphonylfluoride. The cells were
disrupted by sonication and the lysate was clarified by centrifugation
at 20,000 rpm for 30 min at 4 °C. The supernatant was loaded
on a 5 mL HisTrap HP column (Amersham Pharmacia, Uppsala, Sweden),
and GroES was eluted using a 10–500 mM imidazole gradient in
buffer A. Fractions were analyzed by SDS-PAGE and those containing
GroES were combined and concentrated using a Vivaspin device (Sartorius,
Goettingen, Germany) with a 10 kDa cutoff filter. The concentrated
protein was transferred into 50 mM Tris-HCl buffer (pH 7.5) containing
10 mM KCl and 10 mM MgCl2 (G10K buffer) using a PD-10 desalting
column (GE Healthcare, Uppsala, Sweden) and then concentrated again.
Aliquots of protein were snap frozen in liquid nitrogen and stored
at −80 °C.Purification of SR1, a single-ring version
of GroEL, with the Asp398 → Ala mutation was carried out as
described previously.[34]
Spin Labeling
of GroES
A 50-fold molar excess of the
3-maleimido-2,2,5,5-tetramethyl-1-pyrrolidinyloxy (3-maleimido-proxyl)
spin probe (Sigma) was added to the GroESTyr71 → Cys mutant
in D2OG10K buffer and the suspension was then shaken for
16 h at 37 °C. Under these conditions, complete labeling is assumed
to occur. Excess spin label was separated from the labeled GroES by
using MicroSpin G-25 buffer exchange columns (GE Healthcare, Uppsala,
Sweden). The labeled GroES was divided into aliquots, snap-frozen
in liquid nitrogen and stored at −80 °C. ESEEM and ODNP
experiments were not carried out using the more standard S-(2,2,5,5-tetramethyl-2,5-dihydro-1H-pyrrol-3-yl)methylmethanesulfonothioate
(MTSL) label since GroES in complex with GroEL loses this label over
time for reasons that are not clear.
Sample Preparations
The ESR and ESEEM experiments were
carried out using an SR1–GroES complex that was prepared by
incubating 1 mM ATP with 12 μM SR1 for 30 s and then adding
labeled GroES (all in D2OG10K buffer) and incubating for
an additional 5 min. The molar ratio between SR1 and labeled GroES
was 1.5:1, respectively, in order to ensure that all the labeled GroES
is GroEL bound. This was verified routinely using gel-filtration chromatography.
The ODNP experiments were carried out using 240 μM labeled or
unlabeled GroES and a 1.5 molar excess of SR1 in G10K buffer containing
4 mM ATP and 21% (w/v) Ficoll 70 where indicated.
ESR and ESEEM
Measurements
All CW X-band (9.5 GHz)
measurements were performed at room temperature (22–25 °C)
on a Bruker ELEXSYS E500 spectrometer, using round quartz capillaries
(0.75 mm i.d. and 1 mm o.d.).ESEEM experiments were carried
out at 80 K on a Bruker ELEXSYS E580 spectrometer (9.5 GHz) using
an ER4118X-MS-5 probe-head with a split ring resonator (5 mm sample
access) on ∼50–60 μL sample volumes. The ESEEM
experiments were carried out using the three-pulse sequence π/2-τ-π/2-T-π/2-τ-echo,
with a repetition time of 2.5 ms and a four-step phase cycling, in
the presence of a magnetic field set to maximum echo intensity.[35] The π/2 pulse length was 16 ns. The τ-value
was optimized to maximize the modulation depth of 2H, i.e.,
τ = 1/(2νD) while minimizing the modulation
depth of 1H, i.e. τ = 1/(νH), yielding
τ = 208 ns, where νH/D is the 1H
or 2H Larmor frequency, respectively. The time interval T was incremented in 20 ns steps starting at 60 ns for a
total number of 250 points. The ESEEM modulation was isolated from
the signal trace and its Fourier transform (FT-ESEEM) as follows:
(1) phase correction; (2) normalization; (3) division with a fifth-order
polynomial obtained from fitting the echo decay during the time interval T; (4) subtraction of unity; and (5) apodization with a
Hamming window, zero filling to 4096 points, FT and cross-term averaging.[36,37] The data are then displayed in magnitude mode. All experimental
ESEEM traces were treated identically. We chose the intensity of the 2H peak, I(2H), in the FT-ESEEM
as a characteristic of the 2H ESEEM pattern that reflects
the modulation depth and, in turn, indicates the deuterium density
around the spin label.[18,37−39]
ODNP Measurements
and Data Analysis
Samples of ∼3.1
μL in a 0.6 mm i.d. and 0.84 mm o.d. quartz capillary tube were
analyzed by ODNP as described before,[22] using an NMR probe of a “pass-through” design built
to fit inside a 3 mm i.d. and 6 mm o.d. quartz tube, which can be
inserted into a high sensitivity (i.e., high Q) cavity
(ER 4119HS-LC, Bruker Biospin). The samples were sealed inside the
capillary with a protective layer of critoseal, followed by hot beeswax,
and all ODNP measurements were performed at 20–24 °C.
For these measurements, a microwave source and a homebuilt amplifier
supplied up to 6 W at the ESR frequency (∼9.8 GHz), and the
field was set on resonance with the central ESR hyperfine transition,
which was progressively saturated.The presence of spin labels
has two effects: (i) with or without microwave irradiation, the spin
labels lead to a faster NMR relaxation rate, R1 (Figure 2A,B); and (ii) in the presence
of saturating microwaves, the ESR transition will cross-relax with
the NMR transition of the 1H nuclei of water (at a rate
given by kσCSL as described below), thereby leading to an enhanced 1H NMR signal (Figure 2C). These two
effects were quantified by carrying out NMR inversion recovery experiments
(Figure 2A,B) and a series of basic NMR free
induction decay (FID) experiments (Figure 2C) over a range of microwave powers. In both cases, the resulting
NMR signals were Fourier transformed, baseline corrected, and integrated
(pulse sequences in Figure 2A–C yield
the respective data in Figure 2D–F).
The integrated FT NMR signal from the FID experiments (Figure 2C) was normalized against the signal in the absence
of microwave power to illustrate the increasingly larger enhancements
(i.e. E(p)) obtained with increasing
powers of saturating microwaves (Figure 2F).
The inversion recovery data (Figure 2E) reflects
the rate of recovery of the nuclear magnetization from the inverted
state to equilibrium (i.e. R1(p)). Finally, a control measurement is performed on a sample
prepared without spin label. This consists of an inversion recovery
experiment in the absence of microwave power (Figure 2A), which reflects the rate of recovery of magnetization to
equilibrium in the absence of spin label, R1,0 (note that here R1 and R1,0 refer to the inverses of the NMR spin–lattice
relaxation times, i.e. R1 = T1–1 and R1,0 = T1,0–1).
Figure 2
Outline of the complete
procedure for ODNP data processing is shown
for representative data. First, a variety of NMR measurements is carried
out including an inversion recovery sequence acquired on a sample
without spin label (A), a series of inversion recovery sequences acquired
with spin label and different microwave powers (B), and a simple NMR
spectrum acquired at different powers of ESR-resonant microwaves (C).
The data corresponding to these pulse sequences are shown in panels
D–F. The inversion–recovery curves (D, E) are fitted
to determine the NMR relaxation rates R1,0 (G) and R1(p) (H).
The latter multiplies 1 – E(p) (F) to yield kσs(p) (I), which are fitted to an asymptotic curve
(shown as a solid line), allowing us to extrapolate it to full saturation
of the ESR transition and determine kσ ≈ kσsmax. The multiple curves in panels F, H and I are for repeated
experiments as indicated by the color code in panel G.
Outline of the complete
procedure for ODNP data processing is shown
for representative data. First, a variety of NMR measurements is carried
out including an inversion recovery sequence acquired on a sample
without spin label (A), a series of inversion recovery sequences acquired
with spin label and different microwave powers (B), and a simple NMR
spectrum acquired at different powers of ESR-resonant microwaves (C).
The data corresponding to these pulse sequences are shown in panels
D–F. The inversion–recovery curves (D, E) are fitted
to determine the NMR relaxation rates R1,0 (G) and R1(p) (H).
The latter multiplies 1 – E(p) (F) to yield kσs(p) (I), which are fitted to an asymptotic curve
(shown as a solid line), allowing us to extrapolate it to full saturation
of the ESR transition and determine kσ ≈ kσsmax. The multiple curves in panels F, H and I are for repeated
experiments as indicated by the color code in panel G.The data shown in Figure 2D–F were
further processed to obtain the spin label-dependent relaxation rates,
or relaxivities, that offer insight into the dynamics of the hydration
water, as explained in more detail elsewhere.[22,40] The inversion recovery curves (e.g., Figure 2D, E) are fitted to obtain the NMR relaxation rates of samples without
the spin label (R1,0, Figure 2G) and with the spin label (R1(p = 0) from Figure 2H). The self-relaxation rate, kρCSL, is obtained by subtracting R1,0 from R1(p = 0) (i.e., R1 in the absence
of microwave power). The spin-label-driven proton self-relaxivity, kρ, is then obtained from the self-relaxation
rate by normalizing against the spin label concentration (CSL). The cross-relaxivity, kσ, is determined from the data in Figure 2I, which are obtained by multiplying 1 – E(p), the amount of polarization transferred
(Figure 2F), by the microwave power-dependent
relaxation rate R1(p)
(Figure 2H) and dividing by 659.3 (the ratio
of the ESR to NMR resonance frequencies) and the concentration CSL. These data are then fitted to an asymptotic
curve to obtain a value for the cross relaxivity, kσ ≈ kσsmax (smax ≈
1, as shown previously)[41] where the value
of kσs(p) approaches complete saturation of the ESR transition
at high microwave power.The ratio of the relaxivities kσ and kρ yields the coupling factor,
ξ (ξ = kσ/kρ). Given a specific field (and therefore resonance
frequency), the force-free hard-sphere (FFHS) model for translational
dynamics[42] provides a relationship that
can be used to determine the translational correlation time, τc, from the measured value of ξ. In order to better understand
the contribution of partially bound waters (which are not well modeled
by FFHS) to the value of ξ, the contribution from the fast waters
(i.e., kσ) can also be subtracted
from the self-relaxivities (kρ)
as follows:where klow describes
the slower time scale (∼15 MHz) fluctuations of the dipolar
interaction.[22] The value of ξ is
related to the ratio between kσ and klow:where 0 ≤ kσ/klow ≤
1. Each measurement was
repeated 2–4 times, and the standard deviations of the resulting
values of ξ, kσ, klow, and τc are presented as errors (i.e.,
as value ± error). An analysis of the scatter in the data is
shown in Figure S1.
Results and Discussion
ESR Measurements
The X-band ESR spectrum of the spin
labeled GroES (SL-GroES) in Figure 3 shows
that the mobility of the spin label at position 71 on the GroES surface
(Figure 1) is restricted compared to a free
spin probe and represents a single population, thus providing evidence
that the spin label is attached to the protein. An estimate of 10–9 s for the rotational correlation time can be obtained
from comparison to spectra simulated using Easyspin[43] and assuming isotropic motion. Notably, the ESR spectrum
shows only very subtle broadening upon formation of the complex between
SL-GroES and SR1, thus indicating that the mobility of the spin label
hardly changes when it is encapsulated within the cavity.
Figure 3
CW ESR spectra
of the spin label attached to free GroES (black)
and GroES in complex with SR1 (red) at room temperature in D2O.
CW ESR spectra
of the spin label attached to free GroES (black)
and GroES in complex with SR1 (red) at room temperature in D2O.(A) Time domain traces of three-pulse ESEEM
measured at 80 K and
the corresponding (B) Fourier transforms for free (black) and SR1-bound
spin-labeled GroES (red). For more details, see Materials
and Methods.The ESEEM results for
SL-GroES and the SL-GroES–SR1 complex
in D2O solvent are presented in Figure 4. The peak at the 2H frequency with intensity I(2H) shows two components, where the broad resonance
is due to water molecules H-bonded to the nitroxide moiety and the
narrow component, I(2H)narrow, is due to more distant water molecules.[23] The time domain and FT-ESEEM traces for the SL-GroES and SL-GroES–SR1
complex samples are identical, thus indicating that there is no difference
between the density of water near the spin label of free SL-GroES
vs SL-GroES in complex with SR1. This implies that the number of water
molecules and their distances from the spin label are the same in
the two samples as reflected in the same I(2H) = 42. For comparison, we also measured the I(2H) value for a free spin label dissolved in D2O/glycerol-d8 (7:3 v/v) and obtained I(2H) = 80. Here, the addition of the glycerol was essential
to prevent ice formation and aggregation of the spin probe upon freezing.
A ratio of 0.5 is found between the I(2H) values for the SL-GroES by itself or in complex with SR1 and the
free spin label. Assuming that glycerol-d8 does not affect significantly the 2H density in the sample
(as glycerol was not present in the protein samples) and in the vicinity
of the spin label, we can compare this value to the values of 0.54
and 0.18 that were obtained for the most exposed and buried MTSL-labeled
sites, respectively, in the light harvesting protein complex IIb of
photosystem II.[20] This is consistent with
the spin label attached to GroES being exposed to bulk or the cavity
water. Currently, there is no reliable theoretical model for extracting
the actual water distribution in the vicinity of the spin probe, in
the case of D2O solutions, from fitting the experimental
data. Consequently, the data are often fitted to a model based on
assuming a spherical distribution of n2H nuclei around the spin label at an effective distance r.[44] We chose not to use such a model as
it is not realistic and preferred, instead, to interpret the experimental I(2H) values on a comparative basis.
Figure 4
(A) Time domain traces of three-pulse ESEEM
measured at 80 K and
the corresponding (B) Fourier transforms for free (black) and SR1-bound
spin-labeled GroES (red). For more details, see Materials
and Methods.
ODNP Measurements
Representative R1 and R10 data, as well as
all the original 1H NMR signal enhancement measurements
as a function of microwave power, E(p), are shown
in Figure 2. These data were collected for
three samples: free GroES in G10K buffer, GroES in complex with SR1,
and GroES in a Ficoll 70 solution. From these data, kσ ≈ kσsmax values were extracted, as well as the klow values using eq 1,
the coupling factor, ξ, and the translational diffusion correlation
time, τc (see Table 1). The
ratios between the kσ,klow, ξ, and τc values for the spin
label tethered to GroES and the free spin label in bulk solution are
presented in Table 1 and Figure 5. It can be seen that the values of these ratios are the same,
within error, for SL-GroES and the SL-GroES–SR1 complex. Therefore,
we will first discuss the meaning of the resulting average values
and the fact that the value of kσ remains completely unaltered–the key result presented here.
The meaning of very small changes in klow/klow,bulk that impact the value of ξ
and τc (eq 2) will be discussed
below. Interestingly, the value of klow/klow,bulk that represents the contribution
from slow time scale fluctuations is approximately 1, thereby indicating
that it is likely that there is no bound water at the SL-GroES surface.
This, by itself, is an interesting result as it is typical to find
some contribution from bound water near protein surfaces, unlike at
the surfaces of lipid membranes that are known to have minimal or
no contribution from bound water.[31] All
the kσ/kσ,bulk values are 0.4 ±
0.07 and, thus, reflect modest retardation and comparatively fast
diffusive motion of the surface water hydrating the SL-GroES surface.
These data clearly illustrate that the decrease in the ξ values
relative to those of bulk water and the retardation of surface water
dynamics as reflected in τc/τc,bulk originate exclusively from changes in the contribution of fast moving,
loosely bound, surface water, as reflected in kσ. Moreover, the calculated value of 2–3 for the
retardation factor, τc/τc,bulk,
is exceptionally small compared to typical retardation factors of
5–10 or larger, as found for solvent-exposed protein surfaces
of tau,[24] apomyoglobin[12] and other biomolecular or polymer surfaces[25,32] (Figure 6). All of these trends point to
a highly lubricated, weakly hydrated, protein surface of SL-GroES.
This weak hydration does not change, within error, upon complexation
with SR1. To further test this conclusion, the measurements of water
dynamics were repeated for SL-GroES in the presence of 21% (w/v) Ficoll
70, a known viscogen that does not interact with the protein surface
but slows the overall protein tumbling time by increasing the bulk
water viscosity by about 10-fold at 21% (w/v) concentration. Interestingly,
the values for klow/klow,bulk,, ξ/ξbulk, and τc/τc,bulk are all, within error, unaltered,
suggesting that there is no bound water population whose effect is
masked due to fast protein tumbling in the absence of Ficoll 70. The
contribution from fast moving water, as reflected in kσ/kσ,bulk, also
remains unaltered and, in keeping with previous[40] observations on lipid surfaces, remains unaffected by the
increase in the bulk solvent viscosity induced by Ficoll 70, thus
confirming that this polymeric viscogen does not interact with the
GroES surface.
Table 1
Relaxivity, Coupling Factor, and Retardation
Factor Values for GroES under Different Conditionsa
kσ/kσ,bulk
klow/klow,bulk
ξ/ξbulk
τc/τc,bulk
GroES–SR1 complex
0.36 ± 0.06
1.22 ± 0.24
0.40 ± 0.10
3.14 ± 0.72
GroES
0.34 ± 0.08
0.80 ± 0.35
0.55 ± 0.13
2.31 ± 0.55
GroES with Ficoll 70
0.40 ± 0.06
0.64 ± 0.20
0.73 ± 0.26
1.64 ± 0.75
For derivation
of the relaxivity
values, see the text and Figure 2.
Figure 5
Bar plot of the values of the various ODNP measurements
for free
GroES in aqueous buffer, GroES in complex with SR1 and GroES in the
presence of Ficoll 70. Shown are values of the cross-relaxivity, kσ (blue), the slow-motion component of
the self-relaxivity,[22]klow = 5/3kρ –
7/3kσ (green), the coupling factor,
ξ (red), and the translational correlation time, τc (cyan), which is determined by applying the FFHS model.[42] For simplicity, all quantities are normalized
by the appropriate bulk values:[22]kσ,bulk = 95.4 s–1 M–1, klow,bulk = 366 s–1 M–1, ξbulk = 0.27, kρ = 353 s–1 M–1, and τc,bulk = 54 ps.
Figure 6
Plot of the coupling factor measurement, ξ,
as a function
of the modeled translational correlation time, τc. The data points for the ODNP measurements for free GroES, GroES
in complex with SR1, and GroES in the presence of Ficoll 70 are in
brown, red, and green, respectively. The FFHS model gives a fixed
relationship, ξ(τc), for measurements at 0.35
T (corresponding to 15 MHz nuclear Larmor frequency) that is illustrated
by the solid gray line. The gray symbols indicate previous ODNP measurements
for a variety of proteins, small peptides, lipids, and DNA that are
grouped (in brown text, to the right) according to the location of
the spin label. As explained previously,[22] measurements in the zone designated “buried” were
for labels attached within the core of a lipid bilayer, globular protein,
or compact polymer system; in the zone designated “surface”
for labels attached to the surfaces of proteins or other polymer;
in the “intermediate” zone for labels attached near
but not at the surface of, for example, a lipid bilayer; and in the
“bulk” zone for small molecule nitroxides freely dispersed
in water or certain highly charged polymers such as DNA.
Bar plot of the values of the various ODNP measurements
for free
GroES in aqueous buffer, GroES in complex with SR1 and GroES in the
presence of Ficoll 70. Shown are values of the cross-relaxivity, kσ (blue), the slow-motion component of
the self-relaxivity,[22]klow = 5/3kρ –
7/3kσ (green), the coupling factor,
ξ (red), and the translational correlation time, τc (cyan), which is determined by applying the FFHS model.[42] For simplicity, all quantities are normalized
by the appropriate bulk values:[22]kσ,bulk = 95.4 s–1 M–1, klow,bulk = 366 s–1 M–1, ξbulk = 0.27, kρ = 353 s–1 M–1, and τc,bulk = 54 ps.For derivation
of the relaxivity
values, see the text and Figure 2.Plot of the coupling factor measurement, ξ,
as a function
of the modeled translational correlation time, τc. The data points for the ODNP measurements for free GroES, GroES
in complex with SR1, and GroES in the presence of Ficoll 70 are in
brown, red, and green, respectively. The FFHS model gives a fixed
relationship, ξ(τc), for measurements at 0.35
T (corresponding to 15 MHz nuclear Larmor frequency) that is illustrated
by the solid gray line. The gray symbols indicate previous ODNP measurements
for a variety of proteins, small peptides, lipids, and DNA that are
grouped (in brown text, to the right) according to the location of
the spin label. As explained previously,[22] measurements in the zone designated “buried” were
for labels attached within the core of a lipid bilayer, globular protein,
or compact polymer system; in the zone designated “surface”
for labels attached to the surfaces of proteins or other polymer;
in the “intermediate” zone for labels attached near
but not at the surface of, for example, a lipid bilayer; and in the
“bulk” zone for small molecule nitroxides freely dispersed
in water or certain highly charged polymers such as DNA.Interestingly, the value of klow/klow,bulk for the GroES/SR1
complex is found
to be somewhat higher (and may exceed the error of measurement) than
the corresponding values for GroES with or without Ficoll 70 (Figure 5). The increase in klow leads to a slightly larger apparent retardation factor, thereby
indicating slower hydration dynamics (see τc/τc,bulk in Figure 5). To understand the
subtle meaning of these changes, we recall that ODNP is sensitive
to fluctuations in the spin–spin dipolar interaction between
water and the spin label that is attached to the surface of GroES.
The value of kσ samples fluctuations
with time constants of tens of picoseconds and faster (i.e., 10 GHz
fluctuations). Fluctuations on this time scale are typically associated
with water molecules freely diffusing past a spin label. Therefore,
the change in klow observed here does
not reflect a change in the dynamics of freely translationally diffusing
hydration water since such a change would also alter the value of kσ. Rather, a selective increase in klow, as observed here, indicates an increase
in slower fluctuations, with time constants as low as 10 ns (i.e.,
15 MHz fluctuations). Fluctuations on this time scale can arise either
when, for example, water molecules near the spin label bind partially
(for ns or tens of ns) to the surface of GroES as it tumbles in solution
or when water molecules chemically exchange with labile protons on
the protein surface near the spin label. Thus, it is possible that
GroES/SR1 either might trap a limited number of partially bound water
molecules or may engage the water in chemical exchange. Because the
value of klow is the same (within error)
for GroES with or without Ficoll 70, this limited population of bound
or exchanging waters would only be present in the chaperone complex
and not on the surface of free GroES. However, most importantly, because
the change in klow is small (2-fold at
most), we can assume that these changes indicate the presence of relatively
few bound or exchanging water molecules. Even these small changes
do not arise from changes in the freely translating water inside the
nanocavity, as indicated by the consistent kσ value.We conclude that the SL-GroES surface
is very weakly hydrated with
highly mobile surface water, with no contribution of surface bound
water, thus representing an unusual protein surface. There are indications
that, upon formation of the SL-GroES–SR1 complex, a very select
and small number of water molecules either bind partially to the cavity
surface or engage in chemical exchange with it. However, it is clear
that the majority of the water molecules continue to exhibit the same
unusually high mobility and weak hydration even when confined inside
the SL-GroES–SR1 cavity. This implies that the repulsive hydration
barrier for a substrate to approach the GroES surface is very small
and that the substrate experiences a bulk water-like environment,
even upon confinement within the cavity of the SL-GroES–SR1
complex.A previous computational study[11] suggested
that the folding potential of proteins within the chaperonin cavity
is enhanced owing to the hydrophilicity of the cavity inner surface,
as measured by the density of surface water. When employing ODNP methods,
a high hydrophilicity of a protein surface would be reflected in retarded
surface water diffusivity because of the attraction of water to the
protein surface. However, we observe rather unusually fast dynamics
of water on the cavity-facing surface of GroES, both when it is free
and when it is in complex with GroEL. ODNP-NMR does yield very slightly
different results for the GroES/SR1 complex due to the presence of
a small number of bound water molecules or labile protons on the inner
surface of the cavity but does not yield results suggesting an overall
slowing of the hydration water. The fast dynamics seen here have been
seen for the surfaces of unstructured polymers[46,47] but have not been observed before in cases of proteins and lipid
membranes (see Figure 6). These unexpectedly
fast diffusion dynamics of the surface hydration water implies a low
repulsive barrier for the substrate to approach (and leave) the GroES
surface as well as a low folding potential for the substrate near
the GroES surface. This suggestion that the GroES lid confers a low
protein folding potential is in agreement with the finding[48] that replacing Tyr71 in GroES with charged residues
enhances the GroEL-assisted folding of GFP. Our observation that the
cavity-facing surface of the GroES lid has a low folding potential
is also in agreement with the report that nonfolded substrate proteins
can approach the lid and escape from the cage.[49]
Conclusions
In this study, the properties
of the chaperonin cavity-confined
water were studied using ESEEM and ODNP by attaching a spin label
to a cysteine in the Tyr71 → Cys GroES mutant. This residue
is fully exposed to bulk water in free GroES and can probe the confined
water in the upper region of the cavity in the GroEL–GroES
complex. Previous work has shown that replacement of Tyr71 in GroES
with positively or negatively charged residues enhances GroE-assisted
GFP folding,[48] thereby indicating that
the position we labeled senses a region of the cavity that is of functional
importance. Our main findings are that both the density and the dynamics
of the water in the vicinity of the spin label are the same in free
and SR1-bound GroES, and that the properties of the cavity-confined
water are similar to those of bulk water. These findings are consistent
with the claim that the folding process inside the GroEL cage is similar
to that in bulk solution, i.e., that the GroEL cavity is a “passive”
cage in which folding is not accelerated[8,50] and may even
be slowed down.[51] It should be borne in
mind, however, that the dynamics of the surface water closer to the
bottom of the GroEL cavity may be vastly different (e.g., slower)
than those of water at the top. Future studies need to be designed
for probing the properties of water at the bottom of the cage and
in the presence of nonfolded substrates.
Authors: Brandon D Armstrong; Jennifer Choi; Carlos López; Darryl A Wesener; Wayne Hubbell; Silvia Cavagnero; Songi Han Journal: J Am Chem Soc Date: 2011-03-28 Impact factor: 15.419
Authors: Denis A Erilov; Rosa Bartucci; Rita Guzzi; Alexander A Shubin; Alexander G Maryasov; Derek Marsh; Sergei A Dzuba; Luigi Sportelli Journal: J Phys Chem B Date: 2005-06-23 Impact factor: 2.991
Authors: Ryan Barnes; Sheng Sun; Yann Fichou; Frederick W Dahlquist; Matthias Heyden; Songi Han Journal: J Am Chem Soc Date: 2017-11-27 Impact factor: 15.419
Authors: Yanxian Lin; Yann Fichou; Andrew P Longhini; Luana C Llanes; Pengyi Yin; Guillermo C Bazan; Kenneth S Kosik; Songi Han Journal: J Mol Biol Date: 2020-12-03 Impact factor: 5.469
Authors: Kherim Willems; Veerle Van Meervelt; Carsten Wloka; Giovanni Maglia Journal: Philos Trans R Soc Lond B Biol Sci Date: 2017-08-05 Impact factor: 6.237