Gogulan Karunanithy1, Jochen Reinstein2, D Flemming Hansen1. 1. Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London WC1E 6BT, United Kingdom. 2. Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, Jahnstrasse 29, D-69120 Heidelberg, Germany.
Abstract
Chemical exchange saturation transfer (CEST) NMR experiments have emerged as a powerful tool for characterizing dynamics in proteins. We show here that the CEST approach can be extended to systems with symmetrical exchange, where the NMR signals of all exchanging species are severely broadened. To achieve this, multiquantum CEST (MQ-CEST) is introduced, where the CEST pulse is applied to a longitudinal multispin order density element and the CEST profiles are encoded onto nonbroadened nuclei. The MQ-CEST approach is demonstrated on the restricted rotation of guanidinium groups in arginine residues within proteins. These groups and their dynamics are essential for many enzymes and for noncovalent interactions through the formation of hydrogen bonds, salt-bridges, and π-stacking interactions, and their rate of rotation is highly indicative of the extent of interactions formed. The MQ-CEST method is successfully applied to guanidinium groups in the 19 kDa L99A mutant of T4 lysozyme.
Chemical exchange saturation transfer (CEST) NMR experiments have emerged as a powerful tool for characterizing dynamics in proteins. We show here that the CEST approach can be extended to systems with symmetrical exchange, where the NMR signals of all exchanging species are severely broadened. To achieve this, multiquantum CEST (MQ-CEST) is introduced, where the CEST pulse is applied to a longitudinal multispin order density element and the CEST profiles are encoded onto nonbroadened nuclei. The MQ-CEST approach is demonstrated on the restricted rotation of guanidinium groups in arginine residues within proteins. These groups and their dynamics are essential for many enzymes and for noncovalent interactions through the formation of hydrogen bonds, salt-bridges, and π-stacking interactions, and their rate of rotation is highly indicative of the extent of interactions formed. The MQ-CEST method is successfully applied to guanidinium groups in the 19 kDa L99A mutant of T4 lysozyme.
A key strength
of NMR spectroscopy
is its ability to quantify the dynamics of molecules with atomic level
resolution. Within biomolecules, conformational exchanges often occur
on milli- to microsecond time scales, and these exchanges can be critical
for function.[1,2] A number of NMR-based approaches
for characterizing exchange on these time scales now exist and provide
important insights into conformations that are transiently populated,
invisible to other high-resolution methods, and also broadened beyond
detection in traditional NMR experiments.[3−6] Although chemical exchange saturation
transfer (CEST) methods have traditionally been used within the MRI
field,[7−9] CEST approaches have recently emerged as powerful
tools also for studying biomolecular dynamics on a time scale from
20 to 200 s–1.[10,11] In these experiments,
first developed in the 1960s,[12] saturation
of magnetization by a weak pulse is transferred by exchange events
within a network of exchanging conformers, and in particular, magnetization
is transferred from invisible species to visible species in order
to report on chemical shifts and rates of exchange.However,
for symmetrical exchange, where all the exchanging species
are broadened in NMR spectra, a quantification of the exchanging system
becomes challenging. This scenario is, for example, encountered for
the rotational exchange about the Cζ–Nε bond in arginine side chains in proteins, Figure A. The importance
of the arginine side chain for a range of protein functions, such
as protein folding, catalysis, and noncovalent interactions, is well-established.[13−15] It is the arginine guanidinium group, with its delocalized π
system, that confers the functionality by allowing for a large range
of interactions.[16−18] Recently, it was shown that 13C-detection
NMR provides an excellent tool to probe arginine side chains in proteins,[19−22] and it was also shown that in favorable cases the rate of rotational
exchange can be determined to provide a measure for the interactions
formed by arginine guanidinium groups within proteins.[23] Below, we present a multiquantum CEST (MQ-CEST)
NMR experiment that is ideally suited to characterizing dynamics in
symmetrically exchanging groups, and we apply this methodology to
quantify the rotational dynamics of guanidinium groups in the side
chains of arginine residues within proteins.
Figure 1
(A) Illustration of an
arginine side chain and the restricted rotation
about the Cζ–Nε bond that
causes the symmetrical exchange of the two 15Nη nuclei. (B) Example of a 15Nη–15Nη MQ-CEST profile, recorded for the R96
arginine in the L99A mutant of T4 lysozyme (T4L99A). The position
of the two dips shows the 15Nη chemical
shifts, and a least-squares fit to the profile provides the rate of
exchange. (C) Example of a 13Cζ–15N correlation map for T4L99A that encodes the CEST profiles.
(D) Pulse sequence derived for the MQ-CEST experiment applied to arginine
side chains. The carrier frequencies are set to 7.15 ppm (1H), 157 ppm (13C), and 84 ppm (15N). Narrow
and wide bars denote 90° and 180° pulses, respectively,
with all pulses applied along x unless otherwise
indicated. The bell shapes denote frequency-selective pulses, with
the letter above showing selectivity and letter inside indicating
the type: S refers to a Seduce shape,[24] E to an EBURP shape, and R to a REBURP shape.[25] Striped boxes indicate decoupling with the text indicating
the scheme used. CW: continuous wave applied at CEST offset frequency.
The delays are τa = 1/(4JHN)= 2.7 ms and τb = 1/(4JNC) = 12.5 ms. The phase cycle used is ϕ1 = x, −x; ϕ2 = 2(x), 2(−x); and
ϕrec = x, −x, −x, x. Gradients are used
to remove artifacts (full details in the caption to Figure S4).
(A) Illustration of an
arginine side chain and the restricted rotation
about the Cζ–Nε bond that
causes the symmetrical exchange of the two 15Nη nuclei. (B) Example of a 15Nη–15Nη MQ-CEST profile, recorded for the R96
arginine in the L99A mutant of T4 lysozyme (T4L99A). The position
of the two dips shows the 15Nη chemical
shifts, and a least-squares fit to the profile provides the rate of
exchange. (C) Example of a 13Cζ–15N correlation map for T4L99A that encodes the CEST profiles.
(D) Pulse sequence derived for the MQ-CEST experiment applied to arginine
side chains. The carrier frequencies are set to 7.15 ppm (1H), 157 ppm (13C), and 84 ppm (15N). Narrow
and wide bars denote 90° and 180° pulses, respectively,
with all pulses applied along x unless otherwise
indicated. The bell shapes denote frequency-selective pulses, with
the letter above showing selectivity and letter inside indicating
the type: S refers to a Seduce shape,[24] E to an EBURP shape, and R to a REBURP shape.[25] Striped boxes indicate decoupling with the text indicating
the scheme used. CW: continuous wave applied at CEST offset frequency.
The delays are τa = 1/(4JHN)= 2.7 ms and τb = 1/(4JNC) = 12.5 ms. The phase cycle used is ϕ1 = x, −x; ϕ2 = 2(x), 2(−x); and
ϕrec = x, −x, −x, x. Gradients are used
to remove artifacts (full details in the caption to Figure S4).In the multiquantum CEST
(MQ-CEST) experiment, the CEST pulse is
applied to a longitudinal multispin order spin-density element in
order to quantify symmetrical exchange. The restricted rotation about
the Cζ–Nε bond in arginine
side chains, Figure A, corresponds to a symmetrical exchange of the two 15Nη nuclei. The MQ-CEST approach applied to a density
operator that spans both of the 15Nη species
is able to capture the rate of restricted rotation as well as the
chemical shifts of the sometimes severely broadened 15Nη signals.For the MQ-CEST approach applied to
arginine guanidinium side chains,
two equally sized dips are typically observed corresponding to the
CEST pulse being resonant with one of the two 15Nη chemical shifts, Figure B and Figure S1. When the exchanging
nuclei are in the so-called slow-exchange regime (kex ≪ |ω(15Nη1) – ω(15Nη2)| = |Δω|),[26,27] two well-separated dips are visible in the MQ-CEST profile and the
individual chemical shift of the two 15Nη nuclei can be directly identified from the center of the dips, Figure B and Figure S1. When the nuclei are in the intermediate
chemical exchange regime (kex ≈
|Δω|), either because of fast rotation or because of a
smaller chemical shift difference, the two dips coalesce into a single
dip centered at the average of the two 15Nη chemical shifts. It is particularly near the intermediate chemical
exchange regime that single-quantum 15Nη signals become severely broadened in NMR spectra.[22] For the MQ-CEST approach, the CEST intensities are encoded
onto 13Cζ–15Nε correlation maps that are unaffected by the rotational exchange.
Therefore, as long as CEST offset frequencies are chosen to fully
cover the CEST dip(s), the exchanging system can be characterized
using the MQ-CEST approach, even for scenarios of intermediate exchange.
When the rotation is in the fast-exchange regime (kex ≫ |Δω|), the width of the single
CEST dip narrows.Simulations were used to establish the range
of parameters, where
accurate exchange parameters, kex and
Δω, can be derived using the MQ-CEST approach. In common
with other CEST approaches, the MQ-CEST approach provides the most
accurate parameters, when there is a substantial chemical shift difference
between the two exchanging 15Nη species,
which brings the system toward the slow-exchange regime. The simulations
show that, for Δω ≥ 1 ppm, the MQ-CEST approach
provides accurate exchange rates over the large range of kex from 5 to 1500 s–1, which covers
almost the full range of possible arginine guanidinium rotation rates
at 293 K. Generally, the larger the chemical shift differences are,
Δω, the larger exchange rates kex are accessible, Figure S2, whereas accurate
Δω values can be obtained for the full range of possible kex values from 5 to 1500 s–1, Figure S3, as long as Δω
≳ 0.5 ppm. For arginine side chains involved in very strong
interactions and thus experiencing very slow rotational rates (<5
s–1), it is possible to set an upper bound for kex and accurately determine the two 15Nη chemical shifts from MQ-CEST experiments. In
such cases of very slow exchange, the kex can be determined using the previous longitudinal exchange method,[23] provided that the 13Cζ resonance is isolated. It is interesting to note that the range
of chemical exchange rates, kex, accessible
with the MQ-CEST approach is substantially larger than what is accessible
from typical CEST experiments[7,8] (20–200 s–1). This larger range of kex accessible with the MQ-CEST approach is mainly due to the symmetrical
exchange with equal populations of the two exchanging sites. It is
also important to note that with least-squares fitting (see Supporting Information) and detailed analysis
of the MQ-CEST profiles it is possible to accurately extract the chemical
shifts of the two 15Nη nuclei well beyond
the range where these can be simply obtained from inspection of the
MQ-CEST profiles.Finally, the simulations show that it is highly
desirable to collect
data with different B1 CEST saturation
field strengths and/or at different static magnetic field strengths, B0, Figures S2 and S3. It is interesting to note that MQ-CEST profiles with multiple B1 field strengths provide essentially as accurate kex rates and Δω as MQ-CEST profiles
at multiple B0 fields. Recording MQ-CEST
profiles at multiple static B0 fields,
particularly at higher field strengths, gives access to higher rotational
rates and smaller chemical shift differences, since the exchange is
moved toward the slow-chemical exchange regime. A disadvantage of
ultrahigh magnetic fields (B0 ≳
19 T), however, is an increased 13Cζ transverse
relaxation due to chemical shift anisotropy (CSA), which can reduce
signal-to-noise in the resulting spectra.The pulse sequence
derived for obtaining MQ-CEST profiles to characterize
the symmetric exchange of arginine guanidinium groups in proteins
is shown in Figure D. Briefly, equilibrium longitudinal magnetization residing on 1Hε, Hε, is initially
excited and transferred via an INEPT step between a and b to a 1Hε–15Nε longitudinal two-spin order density element,
2HεNε. Using
the magnetization on the 1Hε proton as
the source brings two main advantages compared to methods where 13C magnetization is used as the source. First, the higher
gyromagnetic ratio of 1H provides additional signal-to-noise,
even though this is partly mitigated by the longer sequence. Second, 1H nuclei have substantially faster longitudinal R1 relaxation rates compared to 13C, which means
that more scans can be acquired within a given time unit. Between b and c, the one-bond scalar coupling between 1Hε and 15Nε and
between 15Nε and 13Cζ is evolved to generate the 13Cζ–15Nε longitudinal two-spin order element 2CζNε, while
concomitantly encoding the 15Nε chemical
shift. The two selective 13C pulses between b and c ensure that 13Cδ–15Nε and 13Cζ–15Nε scalar couplings are refocused
and evolved, respectively. Between c and d, a further INEPT is used to evolve 13Cζ–15Nε and 13Cζ–15Nη scalar
couplings, yielding a density element proportional to 4CζNηNη at point d. The MQ-CEST period between points d and e is carried out with the 15N carrier frequency being varied, providing the CEST intensities, I. A reference spectrum is also recorded without the CEST
element (TCEST = 0 s), but including the
gray block in Figure D. The reference spectrum provides I0 and the final MQ-CEST profiles are calculated as I/I0. The effects of scalar couplings
between 15Nη and 1H are minimized
through the application of high-power composite decoupling during
the CEST period as described previously.[28] As the 15N CEST pulse is applied to a 4CζNηNη density element, no decoupling is applied to 13C as this
would deteriorate the signal. Instead, the effects of the 13Cζ–15Nη scalar
couplings (∼20 Hz) are explicitly included in the analysis
of the CEST profiles as described previously.[21,29] It should be noted that several density elements are present during
the 15N CEST pulse, including Zeeman order (4CζNηNη), zero-quantum (e.g., 4CζN+ηN–η), single-quantum (e.g., 4CζNηN–η), and double-quantum
(e.g., 4CζN+ηN+η) coherences.
Whereas the double-quantum coherences are insensitive to the exchange,[22] the zero-quantum coherence will report on the
exchange process. Finally, after point e, the density
element of interest is transferred to transverse in-phase 13Cζ magnetization for detection.Several variations
to the pulse sequence in Figure D have been developed (Figure S4). Of particular note is the 1H detected
version (Figure S4B) in which magnetization,
via additional INEPT steps, is transferred back to the 1Hε proton for detection. If relaxation is ignored,
detecting 1Hε gives an 8-fold increase
in signal-to-noise compared to 13C detection; however,
in practice the additional delays required as well as exchange of 1Hε with the bulk solvent mean that this approach
is only advantageous when the site in question has a local correlation
time of less than approximately 10 ns (Figure S5). The guanidinium groups of greatest interest are often
those that form interactions, making them more rigid, and so for the
applications shown below on the 19 kDa T4L99A, the 13C
detect sequence, Figure D, provides the best signal-to-noise.In order to experimentally
validate the MQ-CEST approach, experiments
were carried out on a sample of free [13C6,15N4]-l-arginine at a high concentration
(50 mM) and dissolved in a 50/50% vol mixture of H2O and
MeOH under acidic conditions. With this sample, experiments can be
carried out at temperatures below 0 °C, where the symmetrical
exchange rate, kex, for free arginine
is slow enough to be quantified by classical longitudinal exchange
methods, such as zz-EXSY.[30] This system
therefore forms an ideal basis for validating and benchmarking the
performance of the MQ-CEST approach.The MQ-CEST profiles for
free arginine measured at four temperatures
between −15 and 2.4 °C are shown in Figure A. The chemical shifts of the 15Nη nuclei can be easily identified from the position
of the dips at low temperatures, and the exchange rate can be obtained
from a least-squares analysis at each temperature (see Supporting Information). The correlation between
the obtained exchange rates, kex, from
MQ-CEST and from longitudinal exchange is excellent, Figure C, validating the MQ-CEST approach.
It is important to note that the longitudinal exchange approach is
only applicable when the 15Nη nuclei give
rise to diagonal and cross-peaks in single-quantum NMR spectra and
these peaks can be accurately quantified. This is not the requirement
for the MQ-CEST approach, since the CEST intensities are encoded onto
the 13Cζ–15Nε cross-peaks.
Figure 2
(A) MQ-CEST profiles recorded at four temperatures (−15
to 2.4 °C) on a 50 mM sample of [13C6, 15N4]-l-arginine dissolved in 50/50% vol
H2O/MeOH at a static magnetic field of 14.1 T and using
a 10 Hz B1 CEST saturation pulse for TCEST = 250 ms. (B) Corresponding longitudinal
exchange, zz-EXSY, data recorded on the same sample. (C) Correlation
plot of symmetrical exchange rates obtained from MQ-CEST (abscissa)
and from longitudinal exchange (ordinate). The excellent linear correlation
between the rates shows that accurate rotational exchange rates, kex, can be derived from the MQ-CEST experiment.
(A) MQ-CEST profiles recorded at four temperatures (−15
to 2.4 °C) on a 50 mM sample of [13C6, 15N4]-l-arginine dissolved in 50/50% vol
H2O/MeOH at a static magnetic field of 14.1 T and using
a 10 Hz B1 CEST saturation pulse for TCEST = 250 ms. (B) Corresponding longitudinal
exchange, zz-EXSY, data recorded on the same sample. (C) Correlation
plot of symmetrical exchange rates obtained from MQ-CEST (abscissa)
and from longitudinal exchange (ordinate). The excellent linear correlation
between the rates shows that accurate rotational exchange rates, kex, can be derived from the MQ-CEST experiment.Having demonstrated the validity of the MQ-CEST
approach, both
theoretically and experimentally, for extracting the rate for symmetrical
exchange of the arginine guanidinium group, we turned our attention
to arginine side chains within the 19 kDa L99A mutant of T4 lysozyme
(T4L99A). T4 lysozyme is a challenging test case since a large range
of exchange rates spanning more than 3 orders of magnitude have been
observed.[23] Previously, D-evolution and
longitudinal exchange were used to characterize the rotational dynamics
of arginine guanidinium groups in T4L99A; however, these measurements
rely on single-quantum 13Cζ–15Nη spectra, and only five of the 13 arginine
residues in T4L99A could previously be characterized. On the contrary,
the MQ-CEST approach relies on 13Cζ–15Nε (or 1Hε–15Nε) spectra, where well-separated cross-peaks
are observed, e.g., Figure C. Thus, the MQ-CEST approach shows substantial improvements
over the existing D-evolution method, since nearly every arginine
residue can be resolved, resulting in an exchange rate for 11 out
of the 13 arginine residues in T4L99A at 293 K. Four of these MQ-CEST
profiles are shown in Figure , while all data is provided in Figure S6 and Table S2. For the arginine
residues, where kex could previously be
obtained from the D-evolution approach, there is an excellent agreement
with the rates derived from the MQ-CEST profiles.[23]
Figure 3
MQ-CEST profiles for arginine residues R52, R95, R96, and R154
of T4L99A. All data shown is collected at 293 K at static magnetic
fields, B0, between 14.1 and 22.3 T. For
a given arginine guanidinium group, all data is analyzed simultaneously
to give the rate of symmetrical exchange, kex, and the chemical shift of the two 15Nη nuclei.
MQ-CEST profiles for arginine residues R52, R95, R96, and R154
of T4L99A. All data shown is collected at 293 K at static magnetic
fields, B0, between 14.1 and 22.3 T. For
a given arginine guanidinium group, all data is analyzed simultaneously
to give the rate of symmetrical exchange, kex, and the chemical shift of the two 15Nη nuclei.The obtained kex rates confirm that
the rate of rotation is a very good indicator of interactions formed
by a particular arginine side chain within the protein environment.
For example, from the crystal structure of T4L99A,[31] various interactions are observed for R52, R95, and R96, Figure , and these residues
show a large range of rates, albeit all substantially slower than
free arginine. The guanidinium group that shows the slowest rotational
rate is in R95 that forms cation−π and π–π
interactions with the large aromatic system of tryptophan W126.In order to further assess the robustness of the MQ-CEST analysis
for the extraction of exchange rates, the relaxation rates, R(4CζNηNη) and R1(Cζ), were measured experimentally for T4L99A.
First, the experimentally measured relaxation rates were compared
to the corresponding rates obtained from an analysis of the MQ-CEST
profiles, where those rates were allowed to vary, however, independent
of the static magnetic field (Figure S7). Second, two-dimensional χ2(kex, R2) grid plots were generated, Figure S8, to quantify the influence of the relaxation
rates on the derived kex. For nuclei with
slower exchange rates, accurate transverse 15Nη relaxation rates can be obtained. In cases of faster rotational
exchange rates, the exchange rate is uncorrelated with the transverse
relaxation rate, Figure S8, meaning that
the transverse relaxation rate can be safely fixed to a sensible value
in the fitting process. In all cases, accurate rotational exchange
rates, kex, can be obtained (Figure S9).In summary, we have described
a multiquantum CEST NMR experiment,
which is ideally suited for characterizing the rate of symmetrical
exchange and the chemical shifts of the involved nuclei. The MQ-CEST
approach was applied to quantify the rotation of guanidinium groups
in arginine side chains in proteins, and it is shown that the MQ-CEST
approach can accurately provide the rate of exchange over a very large
range of time scales and also report on sites that previously remained
undetected. The results confirm that the symmetrical rotational rate
of arginine guanidinium groups within a protein environment is an
insightful parameter reporting on the strength of interactions formed
by the group. It is anticipated that the MQ-CEST methodology presented
here will be generally applicable to quantify symmetric exchange over
a large range of time scales and in many sites.
Experimental Methods
Sample preparations are described in the Supporting Information. All spectra were processed using NMRPipe[32] and visualized with NMRFAM-Sparky.[33] Peak intensities were quantified using FuDa.[34] MQ-CEST profiles were simulated and analyzed
using an in-house program that numerically propagates the Bloch–McConnell
equations.[29] A detailed description is
provided in the Supporting Information.
Authors: Ved P Tiwari; Yuki Toyama; Debajyoti De; Lewis E Kay; Pramodh Vallurupalli Journal: Proc Natl Acad Sci U S A Date: 2021-11-16 Impact factor: 11.205