Temperature-dependent NMR experiments are often complicated by rather long magnetic-field equilibration times, for example, occurring upon a change of sample temperature. We demonstrate that the fast temporal stabilization of a magnetic field can be achieved by actively stabilizing the temperature of the magnet bore, which allows quantification of the weak temperature dependence of a proton chemical shift, which can be diagnostic for the presence of hydrogen bonds. Hydrogen bonding plays a central role in molecular recognition events from both fields, chemistry and biology. Their direct detection by standard structure-determination techniques, such as X-ray crystallography or cryo-electron microscopy, remains challenging due to the difficulties of approaching the required resolution, on the order of 1 Å. We, herein, explore a spectroscopic approach using solid-state NMR to identify protons engaged in hydrogen bonds and explore the measurement of proton chemical-shift temperature coefficients. Using the examples of a phosphorylated amino acid and the protein ubiquitin, we show that fast magic-angle spinning (MAS) experiments at 100 kHz yield sufficient resolution in proton-detected spectra to quantify the rather small chemical-shift changes upon temperature variations.
Temperature-dependent NMR experiments are often complicated by rather long magnetic-field equilibration times, for example, occurring upon a change of sample temperature. We demonstrate that the fast temporal stabilization of a magnetic field can be achieved by actively stabilizing the temperature of the magnet bore, which allows quantification of the weak temperature dependence of a proton chemical shift, which can be diagnostic for the presence of hydrogen bonds. Hydrogen bonding plays a central role in molecular recognition events from both fields, chemistry and biology. Their direct detection by standard structure-determination techniques, such as X-ray crystallography or cryo-electron microscopy, remains challenging due to the difficulties of approaching the required resolution, on the order of 1 Å. We, herein, explore a spectroscopic approach using solid-state NMR to identify protons engaged in hydrogen bonds and explore the measurement of proton chemical-shift temperature coefficients. Using the examples of a phosphorylated amino acid and the protein ubiquitin, we show that fast magic-angle spinning (MAS) experiments at 100 kHz yield sufficient resolution in proton-detected spectra to quantify the rather small chemical-shift changes upon temperature variations.
The
recording of an NMR data set, in particular for multidimensional
experiments on proteins, requires hours or even days of measurement
time during which the magnetic field at the sample position (B⃗0,sample) is required to stay constant
within significantly better than the spectral linewidth. In this contribution,
we investigate the temperature dependence of proton shifts in solid-state
NMR, which is a particularly demanding application. In solution-state
NMR, the field stability is achieved by a highly optimized field-frequency
lock system implemented in virtually all high-resolution spectrometers.[1] For magic-angle spinning (MAS) high-resolution
NMR spectroscopy, the implementation of such a lock proved difficult
and most spectra are recorded without a lock. Typically, the drift
of the static magnetic field can be compensated by a linear (in time)
field gradient. Linear-field drifts may also be applied a
posteriori.[2] With increasing spectral
resolution, in particular also in the context of fast MAS and proton
detection, nonlinear field drifts start to limit the spectral resolution.
We, and others, have noticed that such effects appear, in particular,
after a change of the probe, change of the sample, or even only a
change of sample temperature. Typically, several hours are needed
until these effects die out. We here identify the source of these
instabilities and show that it can be mitigated by temperature stabilization
of the bore. This allows not only recording spectra without long equilibration
delays but also precisely measuring the temperature gradients of the
proton resonance frequencies, which are indicators for hydrogen bonding.Hydrogen bonds are crucial for protein folding and drive a variety
of molecular recognition events, for instance, protein–drug
and protein–nucleic acid binding. The determination of the
exact location of hydrogen atoms engaged in hydrogen bonds in proteins
by standard structure-determination techniques, such as X-ray crystallography
or cryo-electron microscopy (cryo-EM), remains impossible as long
as the resolution does not approach values around 1 Å (for cryo-EM,
a slightly lower resolution might be sufficient[3]), which is often difficult or even impossible to achieve,
although the O···N internuclear distance can be used
as a proxy. Hydrogen bonds can be identified by spectroscopic information
from infrared spectroscopy[4,5] and NMR. Particularly,
NMR is highly sensitive to such effects, and, for instance, the magnitude
of a deshielded proton chemical-shift value encodes for hydrogen bonding.[6−9] This effect alone is, however, typically not sufficient to unambiguously
identify a hydrogen bond since the proton chemical-shift values might
be affected by further structural parameters,[7,10−14] and additional information is required. Some possibilities to directly
prove the presence of the hydrogen bond include using magnetization
transfers and exploiting the hydrogen-bond J-coupling,[15,16] which may however be difficult to achieve in practice due to the
typically small J-coupling values competing unfavorably
with the short transverse coherence lifetimes in the solid state.
Alternatively, also the measurement of NH distances by solid-state
NMR and their elongation upon hydrogen-bond formation have been reported.[17,18]The temperature dependence
of proton chemical shifts has been the
object of many studies in solution-state NMR, focusing on using it
as an additional tool in structural characterization, for instance,
in predicting hydrogen bonds in proteins[19−24] and small organic molecules.[25−29] It has also been observed by solid-state NMR, for instance, in disaccharides,[30] in ionic liquid crystals,[31] or dipeptides.[32] The temperature
dependence of 1H chemical-shift values is attributed to
an increase in the average H···O hydrogen-bond length
upon increasing the temperature, leading to a less pronounced deshielding
effect induced by a hydrogen-bond acceptor.[33] Note that ring current effects can also influence the temperature
behavior of proton chemical shifts, even in non-hydrogen-bonded amides.[19] For proteins, correlations between HN amide proton shift temperature coefficients Δδ(1H)/ΔT and involvement in hydrogen bonds
have been studied.[19,23,33,34] Chemical-shift temperature gradients (Δδ(1H)/ΔT) that are more positive than
−4.6 ppb/K have been proposed to serve as a purely empirical
criterion for hydrogen bonding.[19] Additional
NMR observables established by solution-state NMR as an indicator
for hydrogen bonding are temperature-dependent hydrogen-bond scalar
couplings.[35] Despite the characterization
of chemical-shift temperature gradients in solution-state NMR, no
systematic study has been published, to our knowledge, using proton-detected
solid-state NMR for biomolecules in the fast MAS regime. One of the
reasons is the technical difficulty of the experiment as described
above. We, herein, analyze the temperature dependence of proton chemical
shifts in the crystalline compound ortho-phospho-l-serine as well as in the protein ubiquitin and evaluate their
predictive power for hydrogen bonding, comparing the results to a
similar study on the same protein carried out with solution-state
NMR.[34]
Methods and Materials
Materials
Ortho-phospho-l-serine was purchased
from Sigma Aldrich. The deuterated and 100%
back-exchanged ubiquitin sample (13C and 15N
labeled) was prepared using overexpression in E. coli. The protein was crystallized with MPD, as previously described.[36] The sample was filled in an NMR rotor in an
ultracentrifuge using home-build filling tools.[37−39] DUL Cp149 was
prepared as described in ref (40).
Solid-State NMR
Solid-state NMR
experiments were recorded
using an AVANCE III 850 MHz wide-bore spectrometer (static magnetic-field
strength of 20.0 T) in a Bruker 0.7 mm probe. The MAS frequency was
set to 100 kHz. The 2D spectra were processed using TOPSPIN software
(version 3.5, Bruker Biospin) with a shifted (3) squared cosine apodization
function. In the case of ortho-phospho-l-serine, 1D Hahn-echo spectra were recorded with a repetition time
of 2 s and 4 scans using BCU temperatures ranging in between 280 and
320 K (1D spectra were acquired in regular time intervals until the
magnetic-field stability was achieved). For the ubiquitin measurements,
the sample temperature was set to BCU temperatures of 265–280
K, which corresponds to sample temperatures of 293–301 K determined
using the water line for internal calibration.[41] All spectra were analyzed using CcpNmr software[42−44] and referenced to 4,4-dimethyl-4-silapentane-1-sulfonic acid (DSS).
The 2D hNH spectra for ubiquitin were recorded with an acquisition
time of 26 ms and a spectral width of 40 ppm in an indirect dimension
and 26 ms/46.7 ppm in a direct dimension, using a 130/30 kHz zero
quantum CP condition for HN and NH transfers. Carriers were set to
4.8 ppm for 1H and 117.5 ppm for 15N. Overall,
5 kHz 15N WALTZ64[45] and 10 kHz 1H frequency-swept TPPM decoupling[46] were applied during the acquisition of the direct and indirect dimensions,
respectively. Bruker BioSpin designed and installed the prototype
magnet bore temperature control unit that was used for these studies.
Results and Discussion
Stabilizing the Temperature of the Magnet
Bore Reduces Magnetic-Field
Fluctuations
The reported temperature dependence of proton
chemical-shift values for amide protons are small, in the order of
a few parts per billion per Kelvin (ppb/K), and thus require well-resolved
proton resonances, which can typically be achieved by performing the
NMR experiments at >100 kHz MAS.[47−49] An additional technical
complication arises from the finding that a change of the sample temperature
is accompanied by temperature changes in the body of the probe and
the bore of the magnet, causing a change in the magnetic susceptibility
and thus of the magnetic field at the sample position (B⃗0,sample). Inserting the sample into the probe at the
beginning of the experiment, sample change, or even a sample-temperature
change leads to a new temperature distribution in the entire probe
and, by thermal contact, also within the bore of the magnet. As a
result, B⃗0,sample is disturbed
and the resonance frequency drifts before stabilizing to a new value
when the entire probe–magnet system reaches again thermal equilibrium.
The equilibration time is found to be in the order of hours (vide
infra). If the experiment is performed before the magnetic-field stability
is reached, the precise extraction of temperature coefficients is
complicated. It now turns out that the major contribution to these
effects comes from the magnet bore. Actively stabilizing the temperature
of the bore by a Bore Temperature Control System developed by Bruker
BioSpin (abbreviated as BTCS in the following) allows for a strong
reduction of magnetic-field drifts and the required equilibration
time upon changing the temperature. This system essentially consists
of heating foils and a temperature sensor, which is attached to the
outside of the room-temperature shim system and electrically connected
to the Bruker Smart Variable Temperature System (BSVT). In addition
to the heating foils and the temperature sensor, a thin copper foil
was wrapped around the room-temperature shim system to minimize temperature
gradients. Figure shows 2D hNH fingerprint spectra of the deuterated and 100% back-exchanged
(DUL) core protein of the Hepatitis B virus capsid, Cp149,[40] recorded at 100 kHz MAS without the BTCS (a) and with the BTCS (b) (the bore temperature
was adjusted to 295 K). For the measurements under the different setups,
the same experimental procedure was applied: After inserting the probe
into the magnet, the sample cooling was started (target sample/BCU
temperature 271 K) and the first 2D spectrum was recorded after 30
min equilibration time. Afterward, a series of four subsequent spectra,
each taking a measurement time of approximately 1 h, were recorded.
The spectra shown in Figure b clearly reveal the absence of visible magnetic-field drifts
over the total measurement time when the BTCS is turned on, and which
are clearly present without operating the BTCS (Figure a). Note that without the BTCS, magnetic-field
drifts are still observed even in the last 2D spectrum, which started
recording 3.5 h after adjusting the probe temperature (Figure a). The use of the BTCS is,
therefore, a great help for determining, with precision, proton temperature
coefficients from solid-state NMR spectra in a reasonable measurement
time.
Figure 1
Bore temperature control system avoids magnetic-field
drifts upon
temperature changes. hNH correlation experiments recorded on DUL Cp149
at 100 kHz and 20 T external magnetic-field strength with (b) and
without the BTCS (a). The spectra were recorded at 0.5 h (blue), 1.5
h (red), 2.5 h (green), and 3.5 h (black) after inserting the probe
into the magnet bore. Each 2D experiment takes around 1 h.
Bore temperature control system avoids magnetic-field
drifts upon
temperature changes. hNH correlation experiments recorded on DUL Cp149
at 100 kHz and 20 T external magnetic-field strength with (b) and
without the BTCS (a). The spectra were recorded at 0.5 h (blue), 1.5
h (red), 2.5 h (green), and 3.5 h (black) after inserting the probe
into the magnet bore. Each 2D experiment takes around 1 h.
Proton Chemical-Shift Temperature Coefficients Determined for
an Organic Solid
We next established the extraction of a
proton chemical-shift temperature coefficient on a small crystalline
model system, namely, phosphorylatedserine, o-phospho-l-serine, which has already been subject to solid-state NMR
studies.[50−52] Intermolecular hydrogen bonds exist for the carboxylic
group as well as for the phosphate group,[53] resulting in high-frequency-shifted proton resonances in 1H 1D spectra (see Figure a). The two most deshielded resonances resonate at ∼16.5
ppm (the carboxylic proton) and ∼12.5 ppm (the phosphate group
proton). We recorded 1H spectra between 280 and 320 K (Figure a) and found, for
the protons involved in an intermolecular hydrogen bond, negative
proton chemical-shift temperature coefficients of −2.3 ±
0.1 ppb/K (carboxylic COOH proton) and −1.6 ± 0.1 ppb/K
(phosphate PO3OH proton), whereas the further resonances
do not show a significant temperature dependence, as shown in Figure b. Note that the
BCTS dramatically reduces the equilibrium time until the stability
of the magnetic field, but small shifts (in the order of a few tens
of Hertz for a 10 K temperature change) in the magnetic field upon
change of the probe temperature still need to be corrected. This was
achieved by referencing the spectra relative to each other to the
low-ppm CH2 resonance, which is not expected to participate
in hydrogen bonding. The measured values are in good agreement with
values extracted by solution-state NMR for small organic compounds.[25]
Figure 2
Hydrogen bonds in ortho-phospho-l-serine
identified by 1H chemical-shift temperature dependences.
(a) 1H MAS spectra of ortho-phospho-l-serine (the chemical structure is shown on top) recorded at
100 kHz MAS and 20 T in the temperature range from 280 to 320 K. The
spectra were referenced to the low-ppm CH2 resonance (4.00
ppm). (b) Temperature dependence of proton chemical shifts extracted
from the peak maxima in the spectra and the corresponding linear regression
to extract the temperature coefficients for the protons involved in
hydrogen bonding (solid lines). The extracted temperature coefficients
correspond to the slope of the linear regression and are given in
the figure. Note that the temperature-dependent chemical shifts are
represented relative to the proton chemical shift at the lowest temperature
(280 K). The spectra were referenced relative to each other to the
low-ppm CH2 resonances (dashed line). The error bars were
estimated to 0.01 ppm.
Hydrogen bonds in ortho-phospho-l-serine
identified by 1H chemical-shift temperature dependences.
(a) 1H MAS spectra of ortho-phospho-l-serine (the chemical structure is shown on top) recorded at
100 kHz MAS and 20 T in the temperature range from 280 to 320 K. The
spectra were referenced to the low-ppm CH2 resonance (4.00
ppm). (b) Temperature dependence of proton chemical shifts extracted
from the peak maxima in the spectra and the corresponding linear regression
to extract the temperature coefficients for the protons involved in
hydrogen bonding (solid lines). The extracted temperature coefficients
correspond to the slope of the linear regression and are given in
the figure. Note that the temperature-dependent chemical shifts are
represented relative to the proton chemical shift at the lowest temperature
(280 K). The spectra were referenced relative to each other to the
low-ppm CH2 resonances (dashed line). The error bars were
estimated to 0.01 ppm.
Proton Solid-State Chemical-Shift
Temperature Coefficients in
Ubiquitin
To investigate the hydrogen bonding in the protein
ubiquitin, we recorded temperature-dependent hNH correlation spectra
at 100 kHz MAS at different temperatures. Figure shows a selection of solid-state NMR ubiquitin
hNH fingerprint spectra in a temperature range of ∼20–28
°C.
Figure 3
Temperature-dependent hNH solid-state NMR spectra of ubiquitin.
Deuterated and 100% back-exchanged ubiquitin hNH fingerprint spectra
recorded at 100 kHz MAS and 20 T for five different temperatures (a)
and some representative extracts (b), illustrating the different temperature-dependent
proton chemical-shift behaviors of the observed resonances.
Temperature-dependent hNH solid-state NMR spectra of ubiquitin.
Deuterated and 100% back-exchanged ubiquitin hNH fingerprint spectra
recorded at 100 kHz MAS and 20 T for five different temperatures (a)
and some representative extracts (b), illustrating the different temperature-dependent
proton chemical-shift behaviors of the observed resonances.From these spectra, we evaluate the temperature
dependence of the
amide proton chemical shifts (see Figure ). Some resonances, e.g., V26, K27, K33,
I36, K48, and L56, show only small changes with temperature, as expected
for protons in strong hydrogen bonds, while the resonances of, e.g.,
T14, D32, G47, T66, and L71 show strong shielding effects with increasing
temperature.
Figure 4
Site-specific temperature dependence of chemical shifts
for ubiquitin.
Site-specific temperature dependences of proton chemical shifts in
DUL ubiquitin (black circles) measured in the sample temperature range
293–301 K. Note that the depicted chemical shifts have been
referenced to the respective proton chemical shift observed at the
lowest temperature of 293 K. The purple lines indicate the result
of the linear regression used to extract the corresponding temperature
coefficients. For each temperature, the spectra were referenced internally
to DSS to correct for any additional influence of different magnetic
susceptibilities of the probe head on the magnetic field experienced
by the sample.
Site-specific temperature dependence of chemical shifts
for ubiquitin.
Site-specific temperature dependences of proton chemical shifts in
DUL ubiquitin (black circles) measured in the sample temperature range
293–301 K. Note that the depicted chemical shifts have been
referenced to the respective proton chemical shift observed at the
lowest temperature of 293 K. The purple lines indicate the result
of the linear regression used to extract the corresponding temperature
coefficients. For each temperature, the spectra were referenced internally
to DSS to correct for any additional influence of different magnetic
susceptibilities of the probe head on the magnetic field experienced
by the sample.We observe no systematic nonlinearities
within the experimental
uncertainty, excluding the presence of low free-energy conformationally
excited states and thus different, easily accessible, protein conformations,
as described, for example, for the N-terminal domain of phosphoglycerate
kinase, hen egg-white lysozyme, and BPTI[54] in the temperature range used herein. Linear regression was used
to extract the site-specific temperature coefficients Δδ(1H)/ΔT (slope) from the temperature
dependence of the chemical shifts, which are plotted in Figure a.
Figure 5
Temperature coefficients
of ubiquitin and their comparison with
hydrogen bonds identified from the crystal structure. (a) Site-specific
Δδ(1H)/ΔT temperature
coefficients for ubiquitin in the solid state. The dashed line denotes
the empirical −4.6 ppb/K criterion for suspected hydrogen-bond
formation found in a solution.[19] Light
shaded bars indicate residues, where the temperature coefficient determination
may be biased by resonance peak merging at different temperatures.
Gray and red background panels denote β-sheet and α-helix
secondary structure elements. (b) Nearest-neighboring N–O distance
determined from the crystal structure (PDB accession code 3ONS, blue bars). No
distance has been determined in cases where no experimental temperature
coefficient could be determined (blue circles) or where no hydrogen-bond
formation is suspected from the crystal structure (d(N–O) > 3.5 Å, red crosses). Latter cases are highlighted
by dashed vertical red lines, linking them to the corresponding Δδ(1H)/ΔT coefficient in (a). The mean
N–O distance in H bonds and the upper distance limit (dashed
lines) have been taken from refs (55) and (56).
Temperature coefficients
of ubiquitin and their comparison with
hydrogen bonds identified from the crystal structure. (a) Site-specific
Δδ(1H)/ΔT temperature
coefficients for ubiquitin in the solid state. The dashed line denotes
the empirical −4.6 ppb/K criterion for suspected hydrogen-bond
formation found in a solution.[19] Light
shaded bars indicate residues, where the temperature coefficient determination
may be biased by resonance peak merging at different temperatures.
Gray and red background panels denote β-sheet and α-helix
secondary structure elements. (b) Nearest-neighboring N–O distance
determined from the crystal structure (PDB accession code 3ONS, blue bars). No
distance has been determined in cases where no experimental temperature
coefficient could be determined (blue circles) or where no hydrogen-bond
formation is suspected from the crystal structure (d(N–O) > 3.5 Å, red crosses). Latter cases are highlighted
by dashed vertical red lines, linking them to the corresponding Δδ(1H)/ΔT coefficient in (a). The mean
N–O distance in H bonds and the upper distance limit (dashed
lines) have been taken from refs (55) and (56).
Correlation between Temperature
Coefficients and Hydrogen Bonding
As already evident from
the raw data, we observe strong differences
in the temperature coefficients over the whole molecule. We next used
the available X-ray crystal structure of ubiquitin (PDB accession
code 3ONS(57)) to conclude on the quantitative values for
which the temperature coefficients start becoming indicative for the
presence of a hydrogen bond in the solid state. Since the crystal
structure does not contain information on proton coordinates, we use
for each residue i the presence of a short distance
between the nitrogen of i to the oxygen of a close-by
residue k (d(N–O) < 3.5 Å) as
being indicative for the formation of a hydrogen bond.[55,56] If this criterion is satisfied, the extracted distance is plotted
in Figure b. Note that in this analysis we also included
the possibility for intermolecular hydrogen bonds and bonds to HN side-chain atoms. Residue K11, for instance, forms a hydrogen
bond with the side chains of T9, respectively, and the same is true
for the backbone/side-chain pairs E18/D21, E51/Y59, and T55/N58. Figure correlates the N–O
distances extracted from the crystal structure with the proton temperature
coefficients. Indeed, residues with a more positive temperature coefficient
than −4.6 ppb/K are engaged
in hydrogen bonds judged from N–O distances shorter than 3.5
Å, which serve as a proxy for identifying hydrogen bonds from
X-ray structures.[56] In contrast, for most
residues that have a temperature coefficient more negative than −4.6
ppb/K, the crystal structure does not show a clear hydrogen bond to
a close-by amino-acid residue. This altogether points to a similar
validity of the approach as described also in solution,[34] although the temperature coefficient alone is
typically not sufficient to unambiguously identify hydrogen bonds.
Figure 6
Hydrogen
bonds identified from the crystal structure correlate
with those identified by solid-state NMR. Correlation between N–O
distances extracted from the crystal structure (PDB accession code 3ONS) and proton temperature
coefficients as determined by solid-state NMR.
Hydrogen
bonds identified from the crystal structure correlate
with those identified by solid-state NMR. Correlation between N–O
distances extracted from the crystal structure (PDB accession code 3ONS) and proton temperature
coefficients as determined by solid-state NMR.
Comparison of Temperature Coefficients Determined in a Solution
and in a Solid State
A comparison of the temperature coefficients
obtained for ubiquitin with solid-state NMR in this work, with the
same data from solution-state NMR,[34] shows
that the behavior in both aggregate states is rather similar over
the whole molecule if the empirical criterion of −4.6 ppb/K
is applied to identify hydrogen bonds. The numerical values of the
gradient, however, show some differences that are particularly clustering
in the α-helix spanning residues I23–E34, as well as
residue T22 (see Figure for a comparison of temperature coefficients extracted in the solid
state and in solution[34] and Figure S1 for the differences between the solution
and the solid state). Finally, Figures and S2 show the solid-state
NMR temperature coefficients color-coded on the crystal structure
of ubiquitin according to the −4.6 ppb/K criterion compared
with the H bonds predicted from the PDB structure. This comparison
highlights the high correlation of the proton chemical-shift temperature
gradient with the presence of hydrogen bonds.
Figure 7
Comparison of solution-state
and solid-state proton chemical-shift
temperature coefficients. Site-specific comparison of the Δδ(1H)/ΔT temperature coefficient between
solid (violet) and solution-state NMR (light blue) data for ubiquitin.
Light shaded bars indicate residues, where the temperature coefficient
determination may be biased by resonance peak merging at different
temperatures. The solution-state values have been taken from ref (34). The dashed line denotes
the empirical −4.6 ppb/K criterion for suspected hydrogen-bond
formation.[19] Gray and red background panels
denote β-sheet and α-helix secondary structure elements.
Figure 8
Structural visualization of temperature coefficients.
(a) Temperature
coefficients Δδ(1H)/ΔT determined with solid-state NMR for ubiquitin and (b) determined
from the crystal structure (using a criterion of 3.5 Å for the
N–O distance[56]) color-coded on its
crystal structure (PDB accession code 3ONS). In (a), values more negative than the
empirical −4.6 ppb/K value are colored in blue, while values
more positive than 4.6 ppb/K have been colored in red. In (b), residues
with an N–O distance <3.5 Å (indicative for hydrogen
bonding) are color-coded in red and residues with a distance >3.5
Å are color-coded in blue. (c) and (d) Zoomed view of the structures
shown in (a). Hydrogen bonds are shown by black lines. The structures
were visualized with Chimera.[58]
Comparison of solution-state
and solid-state proton chemical-shift
temperature coefficients. Site-specific comparison of the Δδ(1H)/ΔT temperature coefficient between
solid (violet) and solution-state NMR (light blue) data for ubiquitin.
Light shaded bars indicate residues, where the temperature coefficient
determination may be biased by resonance peak merging at different
temperatures. The solution-state values have been taken from ref (34). The dashed line denotes
the empirical −4.6 ppb/K criterion for suspected hydrogen-bond
formation.[19] Gray and red background panels
denote β-sheet and α-helix secondary structure elements.Structural visualization of temperature coefficients.
(a) Temperature
coefficients Δδ(1H)/ΔT determined with solid-state NMR for ubiquitin and (b) determined
from the crystal structure (using a criterion of 3.5 Å for the
N–O distance[56]) color-coded on its
crystal structure (PDB accession code 3ONS). In (a), values more negative than the
empirical −4.6 ppb/K value are colored in blue, while values
more positive than 4.6 ppb/K have been colored in red. In (b), residues
with an N–O distance <3.5 Å (indicative for hydrogen
bonding) are color-coded in red and residues with a distance >3.5
Å are color-coded in blue. (c) and (d) Zoomed view of the structures
shown in (a). Hydrogen bonds are shown by black lines. The structures
were visualized with Chimera.[58]
Conclusions
We have shown that temperature coefficients
of a proton chemical
shift are accessible by solid-state NMR due to recent technical improvements
comprising fast MAS experiments and a magnet bore temperature control
unit. Such a system reduces magnetic-field fluctuations and corresponding
equilibration times upon temperature changes induced by magnetic susceptibility
changes. The temperature coefficients have been established for the
small organic molecule ortho-phospho-l-serine
and the model protein ubiquitin. A criterion similar to the one used
in solution has been found to predict if a hydrogen atom is engaged
in a hydrogen bond or not. Such temperature coefficients determined
from solid-state NMR data might complement existing strategies to
directly detect hydrogen bonds by solid-state NMR (e.g., exploring
the proton chemical-shift value, the chemical-shielding anisotropy,
or J-coupling based polarization transfer schemes)
and demonstrate the high spectral resolution that can be obtained
in proton-detected solid-state NMR spectroscopy.
Authors: Carole Gardiennet; Anne K Schütz; Andreas Hunkeler; Britta Kunert; Laurent Terradot; Anja Böckmann; Beat H Meier Journal: Angew Chem Int Ed Engl Date: 2012-06-27 Impact factor: 15.336