Abstract
A methyl Transverse Relaxation Optimized Spectroscopy (methyl-TROSY) based, multiple quantum (MQ) 13C Carr-Purcell-Meiboom-Gill (CPMG) relaxation dispersion NMR experiment is described. The experiment is derived from the previously developed MQ 13C–1H CPMG scheme (Korzhnev in J Am Chem Soc 126: 3964–73, 2004) supplemented with a CPMG train of refocusing 1H pulses applied with constant frequency and synchronized with the 13C CPMG pulse train. The optimal 1H ‘decoupling’ scheme that minimizes the amount of fast-relaxing methyl MQ magnetization present during CPMG intervals, makes use of an XY-4 phase cycling of the refocusing composite 1H pulses. For small-to-medium sized proteins, the MQ 13C CPMG experiment has the advantage over its single quantum (SQ) 13C counterpart of significantly reducing intrinsic, exchange-free relaxation rates of methyl coherences. For high molecular weight proteins, the MQ 13C CPMG experiment eliminates complications in the interpretation of MQ 13C–1H CPMG relaxation dispersion profiles arising from contributions to exchange from differences in methyl 1H chemical shifts between ground and excited states. The MQ 13C CPMG experiment is tested on two protein systems: (1) a triple mutant of the Fyn SH3 domain that interconverts slowly on the chemical shift time scale between the major folded state and an excited state folding intermediate; and (2) the 82-kDa enzyme Malate Synthase G (MSG), where chemical exchange at individual Ile δ1 methyl positions occurs on a much faster time-scale.
Keywords: Methyl 13C CPMG relaxation dispersion, Chemical exchange, Methyl-TROSY
Methyl Transverse Relaxation Optimized Spectroscopy (TROSY) (Tugarinov et al. 2003; Ollerenshaw et al. 2003) has had a significant impact on studies of protein structure and dynamics (Tugarinov et al. 2004; Ruschak and Kay 2010; Rosenzweig and Kay 2014; Schütz and Sprangers 2020). Studies of chemical exchange processes at methyl sites of high molecular weight proteins have particularly benefited from the better sensitivity and resolution of NMR spectra afforded by methyl-TROSY based applications (Korzhnev et al. 2004a; Religa et al. 2010; Rosenzweig and Kay 2014). Exchange processes occurring on the micro-to-millisecond time-scale, are commonly characterized by Carr-Purcell-Meiboom-Gill (CPMG) (Carr and Purcell 1954; Meiboom and Gill 1958) pulse schemes that modulate the effects of chemical exchange by application of a variable number of refocusing (180°) radiofrequency pulses during a constant-time relaxation period (Mulder et al. 2000). The changes in effective transverse spin relaxation rates, R2,eff, induced by exchange, are quantified as a function of the frequency of application of refocusing pulses, and analysis of the resulting relaxation dispersion profiles enable one quantitatively characterize the kinetics of the exchange in terms of rate constants and chemical shift differences between the major (ground) an minor (excited) states.
One of the first NMR experiments that relied on methyl-TROSY principles was the methyl multiple quantum (MQ) (Mueller 1979; Bax et al. 1983) 13C–1H CPMG relaxation dispersion scheme for studying exchange processes at methyl-bearing side chains of high molecular weight proteins (Korzhnev et al. 2004a, b). As both methyl 1H and methyl 13C magnetizations are present in the transverse plane during the CPMG relaxation period in this experiment, the resulting dispersion profiles depend on the differences in both methyl 1H (ΔωH) and 13C (ΔωC) chemical shifts between the inter-converting states. The interplay between ΔωH and ΔωC may lead to a significant reduction in exchange contributions to R2 rates, Rex, such that, in extreme cases, virtually flat dispersion profiles are obtained, or Rex becomes negative (i.e. the rates R2,eff increase for higher CPMG frequencies) (Korzhnev et al. 2004a, b). These complications pose a challenge for the quantitative analysis of MQ 13C–1H CPMG relaxation dispersion: in particular, profiles of superb quality, that may be especially difficult to achieve for large proteins, are required to extract with confidence ΔωH, ΔωC, and the exchange rate constants from this data. Although a methyl-TROSY based 1H CPMG experiment (Yuwen et al. 2019) that enables one to extract ΔωH for methyl groups of large proteins has been developed, and combined analysis of methyl MQ 13C–1H and single-quantum (SQ) 13C CPMG dispersions for obtaining reliable ΔωH values in small proteins has been suggested (Korzhnev et al. 2005), recording of ‘pure’ methyl 13C CPMG (i.e. one reporting on ΔωC exclusively and not contaminated by ΔωH) in a multiple quantum manner is, to the best of our knowledge, not accessible with existing NMR methodology. Note that even though the SQ 13C CPMG experiment with improved sensitivity developed by Lundstrom et al. (2007) gives the option of MQ 13C–1H acquisition in the indirect dimension (t1), the 13C CPMG dispersion proper is obtained on SQ 13C coherences.
Here we describe a methyl 13C CPMG relaxation dispersion experiment that is recorded in a multiple-quantum manner (denoted as ‘MQ 13C CPMG’ in the following) and thus takes advantage of methyl-TROSY acquisition. The experiment represents the MQ 13C–1H CPMG scheme (Korzhnev et al. 2004a) supplemented with a CPMG train of refocusing 1H pulses applied with constant frequency during the 13C CPMG period and synchronized with the latter. Accumulation of minor imperfections of the refocusing pulses in the 1H pulse-train inevitably leads to creation of a portion of methyl magnetization that relaxes fast and/or is unobservable at the end of the experiment (Korzhnev et al. 2005; Yuwen et al. 2019). The main purpose of this work may therefore be viewed as the design of an optimal and robust 1H ‘decoupling’ scheme that minimizes the amount of fast-relaxing methyl magnetization created during the CPMG intervals. While for large proteins, the MQ 13C CPMG experiment eliminates complications in interpretation of MQ 13C–1H CPMG dispersions associated with contributions to exchange from ΔωH, for small-to-medium sized protein systems, it has the advantage of significantly reducing intrinsic, exchange-free transverse relaxation rates of methyl magnetization relative to its SQ 13C counterpart.
The pulse scheme for recording methyl 13C CPMG relaxation dispersion in a multiple-quantum manner is shown in Fig. 1. The experiment is derived from the methyl-TROSY MQ 13C–1H CPMG scheme developed earlier for studies of chemical exchange in high molecular weight proteins (Korzhnev et al. 2004a), and employs synchronous ‘decoupling’ of methyl 1H magnetization during the relaxation period T by a train of refocusing, composite 180° 1H pulses (Levitt and Freeman 1981) phase-cycled according to the XY-4 scheme (Gullion et al. 1990; Yuwen et al. 2019). This train of 1H pulses eliminates contributions to exchange of methyl 1H nuclei, so that, effectively, only exchange at methyl 13C positions is monitored. Prior to the constant-time CPMG period of total duration T, active selection of the slow-relaxing methyl 13C–1H MQ (methyl-TROSY) transitions is achieved by the element of duration 2ζ (Fig. 1). The number of 13C CPMG cycles (spin-echoes) n is variable and determines the spacing between 13C refocusing pulses, 2δ, and, hence, the 13C CPMG frequency, νCPMG = n/T. The number of 1H CPMG spin-echoes (cycles) m is constant and determines the spacing between refocusing 1H pulses, 2Δ, and the corresponding frequency of 1H ‘decoupling’, (note that m should be a multiple of 4 to accommodate XY-4 phase-cycling; see the period T/2 for n = 1 zoomed at the bottom of Fig. 1). The trains of 1H pulses in Fig. 1 (one for each T/2 period) are implemented as two separate synchronous composite decoupling schemes, with delays Δ carefully adjusted to ensure that the total duration of the train of m 180° 1H pulses (including pulse lengths) is equal to one half of the CPMG period, T/2 (the Bruker code for the pulse scheme in Fig. 1 is provided in the Supplementary Information, SI).
Fig. 1.

Methyl MQ 13C CPMG relaxation dispersion pulse scheme for selectively protonated 13CH3 methyl groups. All narrow and wide rectangular pulses are applied with flip-angles of 90° and 180°, respectively, along the x-axis unless indicated otherwise. The 1H carrier is positioned in the center of the Ileδ1-Leu-Val (ILV) methyl region (0.3–0.5 ppm), while the 13C carrier is positioned at 20 ppm for ILV-labeled samples and at 12 ppm for Ileδ1-labeled samples. All 1H and 13C pulses are applied with the highest possible power, with WALTZ-16 13C decoupling (Shaka et al. 1983) achieved using a 2.5-kHz RF field. Delays are as follows: ; ; T is a constant-time relaxation delay; the delay δ is equal to 1/2 of the spacing between 13C 180° pulses. The phase cycling is as follows: ϕ1 = x, – x; ϕ2 = 2(y), 2(–y); ϕ3 = 4(y), 4(– y); ϕ4 = x; receiver = x, – x, x, – x. The durations and strengths of pulsed-field z-gradients in units of (ms; G/cm) are: g1 = (1; 40), g2 = (0.5; 40), g3 = (0.4; 30). Quadrature detection in F1 is achieved via States-TPPI incrementation (Marion et al. 1989) of phase ϕ4. The first period T/2 is zoomed at the bottom of the figure for n = 1 and shows explicitly the phases of the composite 1H pulses in the XY-4 scheme (Gullion et al. 1990). The delay Δ is equal to 1/2 of the spacing between 1H pulses. In the second half of the relaxation period T, the phase y is inverted, and the phase-cycling of the composite 1H pulses is as follows: (x, – y, x), (y, x, y), (x, – y, x), (y, x, y). Details of experimental parameters are provided in the SI, ‘Materials and Methods’
Even though a constant number m of refocusing radio-frequency 1H pulses is employed during the constant-time relaxation delay T in Fig. 1, imperfections and/or mis-calibrations of these pulses will inevitably result in the creation of some amount of fast-relaxing methyl magnetization (Korzhnev et al. 2005; Yuwen et al. 2019; Tugarinov et al. 2022) (i.e. of the outer MQ 13C–1H transitions in 13CH3 groups or ‘anti-methyl-TROSY’ components (Tugarinov et al. 2003)) that would in turn increase the ‘base’ effective relaxation rates (i.e. intrinsic, exchange-free R2 rates) in CPMG dispersion profiles. Keeping this in mind, we investigated in detail the behavior of different types of 1H pulses and phase-cycling schemes for 1H ‘decoupling’ for protein molecules of differing sizes. Figure 2 shows full density matrix simulations of 1H ‘decoupling’ schemes in the MQ 13C CPMG experiment of Fig. 1 in the absence of exchange for proteins with rotational correlation times, τC, of ~ 11 (A) and ~ 45 (B) ns, with 1H pulses mis-set by 6.7% (6° for a 90° pulse). The CPMG profiles in the Left panels (marked with ‘X’) are generated without phase-cycling of the 180°x pulses (black circles) or composite pulses of the 90°y180°x90°y (blue circles) or 90°y240°x90°y (red circles) variety (Levitt and Freeman 1981), while the profiles in the Right panels are generated with the same pulses phase-cycled according to the XY-4 scheme (see Fig. 1). It should be noted that in the first category of pulses (no phase-cycling, ‘X’), the composite pulses 90°y180°x90°y perform the best (providing the lowest effective R2 rates)—in agreement with predictions of Levitt and Freeman (1981) for CPMG trains with relatively small off-resonance effects, as is the case when the carrier frequency for high power 1H ‘decoupling’ is placed at the center of the methyl 1H region (typically, 0.3–0.5 ppm for ILV methyl groups).
Fig. 2.

Full density matrix simulations of 1H ‘decoupling’ schemes in the MQ 13C CPMG experiment of Figure 1 in the absence of exchange for (A) a protein with rotational correlation time ns (T = 60 ms; ), and (B) a protein with . νCPMG = n/T. The effects of three different 1H refocusing pulse schemes are simulated: a 180x° pulse (black circles), composite 90y°180x°90y° pulses (blue circles), and composite 90y°240x°90y° pulses (red circles). ‘X’ and ‘XY-4’ denote the absence of phase cycling and the phase cycling of these pulses according to the XY-4 scheme (see Fig. 1), respectively. The following spin relaxation rates of MQ 13C–1H coherences in a 13CH3 methyl group are assumed: slow-relaxing, central zero-quantum (ZQ) transitions—6 and 14 s−1 for (A) and (B), respectively; slow-relaxing, central double-quantum (DQ) transitions—8 and 17 s−1 for (A) and (B), respectively; fast-relaxing (outer) ZQ transitions—45 and 140 s−1 for (A) and (B), respectively; fast-relaxing DQ transitions—55 and 170 s−1 for (A) and (B), respectively. For simplicity, the relaxation rates of the magnetization involving DQ and triple-quantum (TQ) 1H coherences, were not differentiated with respect to 13C spins: the relaxation rates of coherences involving 1H DQ magnetization were set to 100 and 300 s−1 for (A) and (B), respectively, while those involving TQ 1H terms were set to 50 and 100 s−1 for (A) and (B), respectively. All simulations were performed for a methyl group located 160 Hz and 400 Hz off-resonance from the 1H and 13C carrier frequencies, respectively. A one-bond scalar coupling 1JCH = 125 Hz was used. 90° 1H pulses were mis-set by 6° (6.7%), with the mis-setting values scaled proportionately for 180° and 240° 1H pulses
The artifacts of 1H decoupling (outlying values of R2,eff rates) in all these cases (Left panels in Fig. 2, ‘X’) can be traced to modulation of the signal due to one-bond 13C–1H scalar couplings, 1JCH ~ 125 Hz. Although the slow-relaxing methyl MQ magnetization (central, methyl-TROSY MQ transitions), isolated before the CPMG period in Fig. 1, is ‘immune’ to evolution due to 1JCH couplings (Tugarinov et al. 2003; Korzhnev et al. 2005), the fast- relaxing (‘anti-methyl-TROSY’) coherences created by imperfections of refocusing 1H pulses, are not, and evolve in time t as, . Note that completely flat CPMG profiles (as expected in the absence of exchange) are produced when the value of 1JCH is set to 0 in these simulations. As we verified experimentally, these artifacts only occur for those CPMG cycles n where the (composite) 180° 1H pulses coincide with 13C 180° pulses for all CPMG spin-echoes or (less likely) for a relatively large number of spin-echoes (> ~ 10), leading to uninterrupted 1JCH evolution for the whole time period T or a significant fraction of it. The former case corresponds to the ratio of pulse spacings δ/Δ (Fig. 1) equal to odd integers to within the lengths of 1H and 13C 180° pulses. For example, for the set of parameters in the Left panel of Fig. 2A (τC ~ 11 ns; T = 60 ms; ), odd integer δ/Δ ratios (to within pulse lengths) occur for n = 16, 25, 26, 27 and 28.
When the XY-4 phase cycling scheme is employed (Right panels in Fig. 2), the amount of fast-relaxing magnetization and, consequently, the relaxation rates R2,eff, are reduced substantially, with similar results predicted for the refocusing 1H pulses of any variety—in agreement with the observations by Yuwen et al. (2019) where the XY-4 scheme proved indispensible for recording high-quality methyl 1H CPMG relaxation dispersions for very high molecular weight proteins. The origin of the artifacts in exchange-free CPMG profiles employing the XY-4 scheme is likewise related to the evolution of the fast-relaxing components due to 1JCH scalar coupling, but is more subtle in nature. After each pair of XY pulses in the XY-4 scheme, the fast-relaxing components of methyl magnetization are inverted (converted from phase x to -x and vice versa) that is equivalent to apparent evolution of the 1JCH coupling for a time-period of 1/(21JCH) = 4.0 ms to form an angle of 180° with respect to the phase of the starting magnetization. The artifacts in the Right panels of Fig. 2 only occur if the end of an XY sub-cycle (two 1H spin-echoes of total length 4Δ) coincides with the end of a 13C spin-echo (cycle), which occurs when the ratio of pulse spacings δ/Δ (Fig. 1) is equal (to within 1H pulse lengths) to (4 k—2), where k is any positive integer (i.e. δ/Δ = 2, 6, 10, 14… The amplitude of these artifacts is determined by how many 1H spin-echoes can be ‘squeezed’ inside a single 13C spin-echo of duration 2δ, and decreases rapidly for larger ratios δ/Δ. Experimentally, we verified that only for δ/Δ ≈ 2, the artifactual rates R2,eff exceed the uncertainties in R2 measurements. (If a unit-less measure of the amplitude is defined as the ratio of the time-period of J inversion and the duration of each 13C spin-echo, , significant artifacts are observed in practice only for λ > ~ 5). For the parameters in the Right panels of Fig. 2A and B, the artifacts are predicted for the sets of n values of {38–44} and {25–28}, respectively. These values of n have to be excluded from the set of CPMG cycles used for recording relaxation dispersion profiles. Note that, as expected, the relative amplitudes of these artifacts decrease for larger proteins (higher τC values; cf. Right panels in Fig. 2A and B), since the fast-relaxing components of methyl MQ magnetization relax too rapidly to contribute appreciably to the observed signal in larger proteins.
The experiment in Fig. 1 was applied first to the study of exchange in a {U-[15N,2H]; Ile δ1-[13CH3]; Leu,Val-[13CH3,12CD3]}-(ILV)-labeled sample of a triple A39V/N53P/V55L (VPL) mutant of the Fyn SH3 domain (Fyn SH3VPL) that was shown previously to unfold spontaneously through a well-defined intermediate state in a temperature-dependent manner (Neudecker et al. 2012). At 10 °C, the population of the unfolded state of Fyn SH3VPL is too low to be detected, and exchange can be adequately described by a 2-site equilibrium between the folded (F) and intermediate (I) states, (Neudecker et al. 2012; Libich et al.2015). A comparison of the relaxation dispersion profiles for the methyl sites of Fyn SH3VPL (10 °C; 600 MHz) that have significant differences in methyl 1H chemical shifts, ΔωH, between folded and intermediate states obtained with the SQ 13C CPMG scheme (Lundstrom et al. 2007), the MQ 13C CPMG experiment of Fig. 1, and the MQ 13C–1H scheme (Korzhnev et al. 2004a) is shown in Fig. 3A. Contributions to exchange from ΔωH leading to substantial decreases in Rex for the MQ 13C–1H CPMG profiles (shown in black; note that for two of the methyl sites in Fig. 3A, Rex < 0) are effectively eliminated in the MQ 13C CPMG profiles obtained with the experiment of Fig. 1 (red), and Rex is determined exclusively by exchange at methyl 13C positions. A comparison of the MQ 13C CPMG profiles (red) with those obtained from the SQ 13C CPMG experiment (blue) shows that the former are characterized by significantly lower (1.75-fold on average for all methyl sites in Fyn SH3VPL) ‘base’ effective transverse relaxation rates, i.e. values in the limit , R2,∞. This constitutes the principal benefit of the MQ 13C CPMG experiment in Fig. 1 for small-to-medium sized proteins, as slower intrinsic (exchange-free) relaxation generally leads to an increase in Rex and, hence, the information content of relaxation dispersion profiles. As illustrated in SI Figure S1, Rex is increased twofold for the two extreme cases at the sites of mutations in Fyn SH3VPL (L55 δ1 and V39 γ2). In addition, an odd number of CPMG cycles n can be used in the MQ 13C CPMG experiment of Fig. 1, effectively doubling the number of νCPMG frequencies accessible in the SQ 13C CPMG experiments, where even numbers of cycles for each T/2 period are recommended. We note that in agreement with simulations in Fig. 2, as long as the XY-4 phase-cycling is employed, very similar results are obtained with composite 1H pulses of the 90°180°90° and 90°240°90° variety, with the former providing an ever so slightly lower R2,∞ (by 3% on average; the data obtained with the 90°180°90° pulses are shown in Fig. 3).
Fig. 3.

Chemical exchange in Fyn SH3VPL (10 °C) studied by methyl CPMG relaxation dispersion. A Relaxation dispersion profiles for the methyl sites of Fyn SH3VPL (600 MHz) with significant differences in methyl 1H chemical shifts, ΔωH, acquired with the SQ 13C CPMG scheme (Lundstrom et al. 2007) (shown in blue), the MQ 13C CPMG experiment of Fig. 1 (shown in red), and the MQ 13C–1H scheme (Korzhnev et al. 2004a) (black). The profiles for each experiment obtained at 500, 600 and 800 MHz (500 and 800 data not shown) are globally best-fit to a two-state exchange model (see Figure S2 and SI ‘Materials and Methods’ for parameters of NMR acquisition and details of data analysis). B Correlation plots comparing (Left panel) the absolute differences in 8 methyl 13C chemical shifts between the folded (F) and intermediate (I) states, , and (Right panel) the fitted R2 rates in the limit , R2,∞(s−1), for 11 methyl groups, obtained with the experiment in Fig. 1 (x-axes) and the SQ 13C CPMG scheme of Lundström et al. (2007) (y-axes). The parameters of linear regression and Pearson linear correlation coefficients R are indicated in the plots. The black dashed lines corresponds to y = x, while the red solid lines are drawn using the parameters of linear regression indicated at the right bottom corner of each panel. Uncertainties in the fitted R2,∞ rates are smaller than the sizes of the circles
Global fitting of 8 SQ 13C CPMG profiles obtained at 3 spectrometer fields (500, 600 and 800 MHz; see ‘Materials and Methods’ in the SI for details of analysis) with Rex > ~ 2 s−1, yields values of kFI = 4.9 ± 0.1 s−1 and kIF = 215 ± 20 s−1, translating to a fractional population (pI) of 2.2 ± 0.2% for the folding intermediate. These parameters are very similar to those extracted from the global fit of MQ 13C CPMG profiles obtained with the scheme in Fig. 1: kFI = 5.3 ± 0.1 s−1 and kIF = 238 ± 18 s−1, translating to pI of 2.2 ± 0.2%. SI Figure S2 shows selected examples of 13C SQ and 13C MQ relaxation dispersion profiles best-fit simultaneously at the three spectrometer fields. Although in the case of Fyn SH3VPL at 10 °C, exchange is slow on the chemical shift time-scale for the majority of methyl sites (, where , and virtually independent of ΔωC chemical shift differences), recording relaxation dispersion at three static magnetic fields validates the robustness of the 1H ‘decoupling’ for a wide range of resonance offsets from the carrier.
A very slight stabilization of the folded state can be noted in comparison of these exchange parameters with those reported by us previously for the sample of Fyn SH3VPL with practically the same deuteration scheme but dissolved in H2O: kFI = 9.0 ± 0.2 s−1; kIF = 350 ± 20 s−1, and pI = 2.5 ± 0.15% (Libich et al. 2015). This slight stabilization may be attributed to an isotope effect of the D2O solvent that is well documented in the literature (for example, see Stadmiller and Pielak 2018; Parker and Clarke 1997; Pica and Graziano 2018). The effect is small in Fyn SH3VPL because the minor state represents a folding intermediate as opposed to a fully unfolded species, with both rate constants decreasing in different proportions in D2O. We note that in our recent methyl 1H relaxation dispersion study in D2O solvent (Tugarinov et al. 2022), much larger effects were observed for the Fyn SH3 G48M mutant that completely unfolds (reaching the state U) through an on-pathway intermediate: (kex = kFU + kUF = 629 ± 25 s−1; pU = 1.2 ± 0.2%) in D2O versus (kex = 472 ± 38 s−1; pU = 3.8 ± 0.1%) reported earlier in H2O solvent (Tugarinov and Kay 2007).
Figure 3B shows the correlation plots comparing the absolute changes in methyl 13C chemical shifts between the folded (F) and intermediate (I) states, , and the fitted R2 rates in the limit , R2,∞, obtained for methyl groups of Fyn SH3VPL from the global fit of relaxation dispersion profiles at 500, 600, and 800 MHz with the MQ 13C CPMG experiment (Fig. 1) and the SQ 13C CPMG scheme. Excellent correlation between the two sets of data is obtained for ΔωC (Fig. 3B, Left panel). The correlation between the MQ 13C CPMG-derived methyl ΔωC values and those reported previously for Fyn SH3VPL by (Neudecker et al. 2012) is likewise very strong (Pearson R = 0.995), with only the largest ΔωC for Ile28 δ1 site (3.8 ± 0.2 ppm) over-estimated by ~ 15% in the MQ 13C CPMG-derived dataset. A somewhat weaker correlation is observed between the two experiments for the values of R2,∞, with the MQ 13C CPMG-derived rates systematically lower than their SQ 13C CPMG-derived counterparts (Fig. 3B, Right panel). It is worth underscoring that even for a protein as small as Fyn SH3, the rates of decay of the slow-relaxing methyl-TROSY components, which are almost attained in the MQ 13C CPMG experiment (8.4 s−1 on average), are ~ 43% lower on average than those of a mixture of fast- and slow-relaxing SQ 13C transitions quantified in the SQ 13C CPMG experiment. We predict that even for methyl sites with very large ΔωH values (> 0.5 ppm), the MQ 13C CPMG experiment of Fig. 1 will provide relaxation dispersion profiles that are independent of ΔωH, although an increase in the rates R2,∞ for such methyl sites may be expected, as the employed 1H CPMG frequencies (1.30–1.33 kHz) will not be sufficiently strong to completely quench the exchange on the 1H nuclei.
Next, we tested the MQ 13C CPMG experiment of Fig. 1 for the study of exchange at Ile δ1 sites of a {U-[15N,2H]; Ile δ1-[13CH3]}-labeled sample of the 82-kDa enzyme Malate Synthase G (MSG; 37 °C; τC ~ 45 ns in D2O). Although 14 13C relaxation dispersions with Rex > ~ 2 s−1 are observed for Ile δ1 methyls of MSG at 800 MHz, no global exchange process can be detected at these methyl positions. Figure 4 compares CPMG relaxation dispersion profiles obtained with the MQ 13C CPMG scheme of Fig. 1, the MQ 13C–1H CPMG experiment and the SQ 13C scheme at the Ile δ1 methyl sites of MSG (800 MHz) with significant contributions to exchange from differences in 1H chemical shifts, ΔωH, between ground and excited states. The data obtained with the 90°180°90° 1H refocusing pulses are shown in Fig. 4, as this decoupling scheme provided slightly lower R2,∞ than those for the 90°240°90° variety (by 4% on average). The same trends as for Fyn SH3VPL (Fig. 3A) are observed. Namely, contributions to exchange from ΔωH leading to decreases in Rex in the MQ 13C–1H CPMG profiles (shown in black) are effectively eliminated in the MQ 13C CPMG data (red). For larger proteins such as MSG, however, the SQ 13C CPMG experiment (blue) becomes significantly less sensitive (see below) and compromised by excessively high SQ 13C R2,∞ relaxation rates (included here only for the sake of comparison with the MQ 13C CPMG profiles). SI Figure S3 compares relaxation dispersion profiles obtained with the MQ 13C–1H and MQ 13C CPMG experiments (800 MHz) for selected Ile δ1 sites of MSG with negligible contributions from ΔωH. These MQ 13C CPMG profiles are generally characterized by slightly higher R2,∞ relaxation rates than their MQ 13C–1H counterparts (by 8% on average for all quantifiable Ile δ1 methyl sites in MSG with negligible ΔωH) indicating that the XY-4 1H ‘decoupling’ in the experiment of Fig. 1 is slightly imperfect in the sense that a small amount of the fast-relaxing MQ magnetization is created and present during the CPMG interval T due to non-idealities of the 1H refocusing pulses. Exchange parameters obtained from individual fitting of MQ 13C and MQ 13C–1H CPMG profiles obtained at 600 and 800 MHz for Ile δ1 sites of MSG shown in Figs. 4 and S3, are summarized in Table S1.
Fig. 4.

CPMG relaxation dispersion profiles obtained for the Ile δ1 methyl sites of Malate Synthase G (MSG; 37 °C; 800 MHz) with significant contributions from differences in 1H chemical shifts, ΔωH, between ground and excited states. The profiles obtained with the MQ 13C CPMG scheme of Fig. 1 are shown in red, while those shown in black and blue are acquired with the MQ 13C–1H CPMG experiment (Korzhnev et al. 2004a) and the SQ 13C scheme (Lundstrom et al. 2007), respectively. The profiles for each experiment are best-fit individually to a two-state model of exchange using the data at 600 (not shown) and 800 MHz (see SI ‘Materials and Methods’, for details of the fitting procedures, and Table S1 for the best-fit parameters of exchange)
Although the majority of MQ 13C–1H CPMG profiles obtained for Ile δ1 sites of MSG can be fit with the assumption that ΔωH = 0 (Korzhnev et al. 2004a) yielding reliable sets of exchange parameters, this is not the case for the profiles shown in Fig. 4 (see the first 4 rows of Table S1). Simulations using synthetic MQ 13C–1H CPMG profiles in differentexchange regimes show that the assumption ΔωH = 0 is approximately valid (does not compromise the extracted ΔωC and other exchange parameters significantly) as long as does not exceed ~ 1/5 of (if the chemical shifts are expressed in rad/sec, i.e. ~ 5% of if expressed in ppm). For larger relative values of ΔωH, the assumption ΔωH = 0 can no longer be tolerated and provides significantly compromised parameters of exchange, with the values of rate constants (and populations of excited states) biased to a somewhat larger extent than those of ΔωC.
It is of interest to compare sensitivities of the CPMG experiments used in this work for small-to-medium sized (such as Fyn SH3VPL at 10 °C) and larger (such as MSG at 37 °C) proteins. In the absence of the relaxation period (T = 0), the MQ 13C CPMG experiment of Fig. 1 is on average ~ 17% less sensitive than the SQ 13C CPMG scheme (implemented with MQ acquisition during the t1 period (Lundstrom et al. 2007)) for Fyn SH3VPL—primarily, because 1/2 of the methyl MQ magnetization is filtered out prior to CPMG relaxation period by the element of duration 2ζ in the scheme of Fig. 1. With the relaxation period T of 60 ms included, however, the MQ 13C CPMG scheme becomes more sensitive than its SQ counterpart by approximately the same proportion (17% on average for 17 ILV methyl sites in Fyn SH3VPL) due to the almost twofold lower R2,∞ relaxation rates in the former. For 38 Ile δ1 sites in MSG, the MQ 13C CPMG experiment of Fig. 1 has 7% and 48% higher signal-to-noise than its SQ 13C CPMG counterpart for T = 0 and T = 40 ms, respectively. We note that when the relaxation period T is omitted (T = 0), the MQ 13C CPMG scheme of Fig. 1 becomes practically identical to the MQ 13C–1H CPMG experiment, implemented with active selection for the slow-relaxing (methyl-TROSY) magnetization components prior to the CPMG interval, and therefore has the same sensitivity for both proteins. Inclusion of the relaxation period T of 40 ms (with the concomitant XY-4 1H ‘decoupling’), makes the MQ 13C CPMG scheme on average ~ 18% less sensitive in comparison to its MQ 13C–1H counterpart, indicating that approximately that fraction of the slow-relaxing methyl MQ magnetization is ‘lost’ (converted to fast-relaxing and/or undetectable methyl coherences) due to imperfections of the 1H refocusing pulses. Taking into account that the filtering element of 2ζ duration (Fig. 1) is not necessary (may be omitted) in applications of the MQ 13C–1H CPMG experiment to proteins with correlation times τC exceeding ~ 12 ns (Korzhnev et al. 2004a), we estimate that a further ~ 5% and ~ 10% loss in sensitivity will be incurred by the inclusion of this element in the MQ 13C CPMG scheme applied to a protein tumbling with τC ~ 45 ns (such as MSG) and τC ~ 120 ns, respectively. The total loss of sensitivity on the order of ~ 25% is certainly a ‘small price to pay’ for making methyl CPMG relaxation dispersion profiles amenable to reliable and unambiguous interpretation in terms of exchange parameters.
In summary, we have described a methyl-TROSY based 13C CPMG relaxation dispersion experiment (MQ 13C CPMG) for probing exchanging processes at methyl group sites which exhibit differences in 13Cmethyl chemical shifts between ground and excited states. The experiment is derived from the MQ 13C–1H CPMG scheme (Korzhnev et al. 2004a) supplemented with a CPMG train of refocusing 1H pulses applied with a constant frequency and synchronized with the 13C CPMG pulse train. Even minor imperfections of the refocusing pulses in the 1H pulse-train inevitably lead to creation of methyl magnetization components that relax fast and/or are unobservable at the end of the experiment. The optimal 1H ‘decoupling’ scheme that minimizes the amount of fast-relaxing methyl MQ magnetization present during the CPMG intervals, makes use of an XY-4 phase cycling of composite 1H pulses. The experiment is applied to two protein systems: (1) the ILV-labeled triple mutant of Fyn SH3 domain (Fyn SH3VPL) that, at 10 °C, interconverts slowly on the chemical shift time scale between the folded state and a folding intermediate, and (2) an 82-kDa enzyme Malate Synthase G (MSG; 37 °C), where exchange at Ile δ1 methyl sites does not represent a global process and generally occurs on a much faster time-scale. While for small-to-medium sized proteins, the MQ 13C CPMG experiment has the advantage over its SQ 13C counterparts of significantly reducing intrinsic, exchange-free relaxation rates (R2,∞), for high molecular weight systems, it eliminates the major complications in interpretation of MQ 13C–1H CPMG relaxation dispersion profiles arising from contributions to exchange from differences in 1H chemical shifts, ΔωH, which can be, if needed, obtained from a separate methyl-TROSY based 1H CPMG relaxation dispersion experiment (Yuwen et al. 2019).
Supplementary Material
The online version contains supplementary material available at https://doi.org/10.1007/s10858-023-00413-8.
Acknowledgements
We thank Prof. D.F. Hansen (UCL, London, UK) for useful suggestions, Drs. F. Torricella (NIDDK, NIH) and A. Ceccon (University of Bolzano, Italy) for preparation of the NMR samples of Fyn SH3VPL and MSG, respectively, and Drs. Jinfa Ying and Dan Garrett (NIDDK, NIH) for technical support. This work was supported by the Intramural Program of the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health (DK029023 to G.M.C.).
Footnotes
Competing interests The authors declare no competing interests.
References
- Bax A, Griffey RH, Hawkings BL (1983) Correlation of proton and nitrogen-15 chemical shifts by multiple quantum NMR. J Magn Reson 55:301–315 [Google Scholar]
- Carr HY, Purcell EM (1954) Effects of diffusion on free precession in nuclear magnetic resonance experiments. Phys Rev 4:630–638 [Google Scholar]
- Gullion T, Baker DB, Conradi MS (1990) New, compensated Carr-Purcell sequences. J Magn Reson 89:479–484 [Google Scholar]
- Korzhnev DM, Kloiber K, Kanelis V, Tugarinov V, Kay LE (2004a) Probing slow dynamics in high molecular weight proteins by methyl-TROSY NMR spectroscopy: application to a 723-residue enzyme. J Am Chem Soc 126:3964–3973 [DOI] [PubMed] [Google Scholar]
- Korzhnev DM, Kloiber K, Kay LE (2004b) Multiple-quantum relaxation dispersion NMR spectroscopy probing millisecond time-scale dynamics in proteins: theory and application. J Am Chem Soc 126:7320–7329 [DOI] [PubMed] [Google Scholar]
- Korzhnev DM, Mittermaier AK, Kay LE (2005) Cross-correlated spin relaxation effects in methyl 1H CPMG-based relaxation dispersion experiments: complications and a simple solution. J Biomol NMR 31:337–342 [DOI] [PubMed] [Google Scholar]
- Levitt MH, Freeman R (1981) Compensation for pulse imperfections in NMR spin-echo experiments. J Magn Reson 43:65–80 [Google Scholar]
- Libich DS, Tugarinov V, Clore GM (2015) Intrinsic unfoldase/foldase activity of the chaperonin groel directly demonstrated using multinuclear relaxation-based NMR. Proc Natl Acad Sci USA 112:8817–8823 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lundström P, Vallurupalli P, Religa TL, Dahlquist FW, Kay LE (2007) A single-quantum methyl 13C-relaxation dispersion experiment with improved sensitivity. J Biomol NMR 38:79–88 [DOI] [PubMed] [Google Scholar]
- Marion D, Ikura M, Tschudin R, Bax A (1989) Rapid recording of 2D NMR spectra without phase cycling. Application to the study of hydrogen exchange in proteins. J Magn Reson 85:393–399 [Google Scholar]
- Meiboom S, Gill D (1958) Modified spin-echo method for measuring nuclear relaxation times. Rev Sci Instrum 29:688–691 [Google Scholar]
- Mueller L (1979) Sensitivity enhanced detection of weak nuclei using heteronuclear multiple quantum coherence. J Am Chem Soc 101:4481–4484 [Google Scholar]
- Mulder FAA, Hon B, Muhandiram DR, Dahlquist FW, Kay LE (2000) Flexibility and ligand exchange in a buried cavity mutant of T4 lysozyme studied by multinuclear NMR. Biochemistry 39:12614–12622 [DOI] [PubMed] [Google Scholar]
- Neudecker P, Robustelli P, Cavalli A, Walsh P, Lundstrom P, Zarrine-Afsar A, Sharpe S, Vendruscolo M, Kay LE (2012) Structure of an intermediate state in protein folding and aggregation. Science 336:362–366 [DOI] [PubMed] [Google Scholar]
- Ollerenshaw JE, Tugarinov V, Kay LE (2003) Methyl TROSY: explanation and experimental verification. Magn Reson Chem 41:843–852 [Google Scholar]
- Parker MJ, Clarke AR (1997) Amide backbone and water-related H/D isotope effects on the dynamics of a protein folding reaction. Biochemistry 36:5786–5794 [DOI] [PubMed] [Google Scholar]
- Pica A, Graziano G (2018) Effect of heavy water on the conformational stability of globular proteins. Biopolymers 109:e23076. [DOI] [PubMed] [Google Scholar]
- Religa TL, Sprangers R, Kay LE (2010) Dynamic regulation of archaeal proteasome gate opening as studied by TROSY NMR. Science 328:98–102 [DOI] [PubMed] [Google Scholar]
- Rosenzweig R, Kay LE (2014) Bringing dynamic molecular machines into focus by methyl-TROSY NMR. Annu Rev Biochem 83:291–315 [DOI] [PubMed] [Google Scholar]
- Ruschak AM, Kay LE (2010) Methyl groups as probes of supra-molecular structure, dynamics and function. J Biomol NMR 46:75–87 [DOI] [PubMed] [Google Scholar]
- Schütz S, Sprangers R (2020) Methyl TROSY spectroscopy: a versatile NMR approach to study challenging biological systems. Prog Nucl Magn Reson Spectrosc 116:56–84 [DOI] [PubMed] [Google Scholar]
- Shaka AJ, Keeler J, Frenkiel T, Freeman R (1983) An improved sequence for broadband decoupling: Waltz-16. J Magn Reson 52:335–338 [Google Scholar]
- Stadmiller SS, Pielak GJ (2018) Enthalpic stabilization of an SH3 domain by D2O. Protein Sci 27:1710–1716 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tugarinov V, Hwang PM, Ollerenshaw JE, Kay LE (2003) Cross-correlated relaxation enhanced 1H–13C NMR spectroscopy of methyl groups in very high molecular weight proteins and protein complexes. J Am Chem Soc 125:10420–10428 [DOI] [PubMed] [Google Scholar]
- Tugarinov V, Hwang PM, Kay LE (2004) Nuclear magnetic resonance spectroscopy of high-molecular-weight proteins. Annu Rev Biochem 73:107–146 [DOI] [PubMed] [Google Scholar]
- Tugarinov V, Kay LE (2007) Separating degenerate 1H transitions in methyl group probes for single-quantum 1h-cpmg relaxation dispersion NMR spectroscopy. J Am Chem Soc 129:9514–9521 [DOI] [PubMed] [Google Scholar]
- Tugarinov V, Okuno Y, Torricella F, Karamanos TK, Clore GM (2022) A “steady-state” relaxation dispersion nuclear magnetic resonance experiment for studies of chemical exchange in degenerate 1H transitions of methyl groups. J Phys Chem Lett 13:11271–11279 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yuwen T, Huang R, Vallurupalli P, Kay LE (2019) A methyl-TROSY-based 1H relaxation dispersion experiment for studies of conformational exchange in high molecular weight proteins. Angew Chem Int Ed Engl 58:6250–6254 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
