Abstract
Carr-Purcell-Meiboom-Gill (CPMG) relaxation dispersion NMR spectroscopy has emerged as a powerful tool for quantifying the kinetics and thermodynamics of millisecond exchange processes between a major, populated ground state and one or more minor, low populated and often invisible ‘excited’ conformers. Analysis of CPMG data-sets also provides the magnitudes of the chemical shift difference(s) between exchanging states (|Δϖ|), that inform on the structural properties of the excited state(s). The sign of Δϖ is, however, not available from CPMG data. Here we present one-dimensional NMR experiments for measuring the signs of 1HN and 13Cα Δϖ values using weak off-resonance R 1ρ relaxation measurements, extending the spin-lock approach beyond previous applications focusing on the signs of 15N and 1Hα shift differences. The accuracy of the method is established by using an exchanging system where the invisible, excited state can be converted to the visible, ground state by altering conditions so that the signs of Δϖ values obtained from the spin-lock approach can be validated with those measured directly. Further, the spin-lock experiments are compared with the established H(S/M)QC approach for measuring the signs of chemical shift differences. For the Abp1p and Fyn SH3 domains considered here it is found that while H(S/M)QC measurements provide signs for more residues than the spin-lock data, the two different methodologies are complementary, so that combining both approaches frequently produces signs for more residues than when the H(S/M)QC method is used alone.
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Introduction
NMR spectroscopy has emerged as a powerful tool for investigating the role of protein dynamics in a variety of biologically important processes that include allostery, ligand binding, catalysis, and molecular recognition (Boehr et al. 2006; Frederick et al. 2007; Henzler-Wildman and Kern 2007; Kay et al. 1998; Popovych et al. 2006; Sugase et al. 2007). Particularly significant in this regard is the fact that motion can be probed over a broad spectrum of time-scales and in a site-specific manner (Ishima and Torchia 2000; Mittermaier and Kay 2006; Palmer et al. 1996) so that a very detailed description of dynamics is, in principle, possible. Over the course of the past several decades a large number of different experiments (Igumenova et al. 2006; Mittermaier and Kay 2006; Palmer et al. 2005) and labeling schemes (Goto and Kay 2000; Kainosho et al. 2006; LeMaster 1999; Tugarinov and Kay 2004; Zhang et al. 2006) have been developed, optimized for different classes of biomolecules and for the investigation of dynamics in different time-regimes. One particular area that has generated significant recent interest is the study of millisecond (ms) time-scale dynamics, which can be quantified using CPMG relaxation dispersion experiments (Palmer et al. 2001). Although the basic ideas behind this approach date back over 50 years (Carr and Purcell 1954; Meiboom and Gill 1958), the successful application of the CPMG method to complex systems such as biomolecules had to await developments in both pulse sequence methodology and labeling technology (Loria et al. 1999). In the case of protein applications it is now possible to measure backbone 1HN (Ishima and Torchia 2003), 15N (Loria et al. 1999; Tollinger et al. 2001), 13Cα (Hansen et al. 2008b), 1Hα (Lundstrom et al. 2009a) and 13CO (Ishima et al. 2004; Lundstrom et al. 2008) as well as side-chain 13Cβ (Lundstrom et al. 2009b) and methyl 13C (Lundstrom et al. 2007b; Skrynnikov et al. 2001) CPMG dispersion profiles for systems in exchange between states that include a major conformation and one or more minor conformers so long as their populations are greater than ≈0.5% with lifetimes between ≈0.5 and 10 ms (Palmer et al. 2001).
The utility of the CPMG relaxation dispersion experiment is several-fold. First, populations of exchanging conformers can be obtained along with rates of exchange (Palmer et al. 2001), so that in cases where experiments are performed as a function of temperature and/or pressure it is possible to generate a detailed one-dimensional energy landscape for the system under study (Korzhnev et al. 2004, 2006). Second, absolute values of chemical shift differences between exchanging states, |Δϖ|, are extracted from fits of dispersion profiles. In cases where the signs of Δϖ are available, the chemical shifts of the excited states can be obtained and exploited for structural studies of these conformers (Vallurupalli et al. 2008). This is particularly significant when one considers that these excited states are generally populated at low levels and only very transiently so that they are invisible both to most other NMR methods and to other biophysical techniques in general.
A number of approaches for obtaining the signs of the chemical shift differences that are conspicuously missing from CPMG dispersion experiments have been developed. In one type of experiment, suggested by Skrynnikov et al. (2002), peak positions in the indirect dimensions of HSQC and HMQC data-sets recorded at several static magnetic fields are compared to isolate the sign information for 15N and 13C Δϖ values (referred to in what follows as the H(S/M)QC method). A second approach, termed CEESY, is based on very similar principles except that the sign information is encoded in the relative peak intensities of a pair of data-sets (van Ingen et al. 2006). This approach has been applied to obtain the sign of 15N and 1HN Δϖ values. Finally, a third method measures selective R 1ρ relaxation rates as a function of spin-lock offset (Auer et al. 2009; Hansen et al. 2009; Korzhnev et al. 2003, 2005; Massi et al. 2004; Trott and Palmer 2002), which can be a sensitive reporter of sign information as well. To date, applications of R 1ρ methods have focused on both 15N (Korzhnev et al. 2005) and 1Hα (Auer et al. 2009) spins. Recognizing the importance of chemical shifts in structural studies of excited states, the goal of the present work is to extend the methodology further to include both 13Cα and 1HN nuclei as well. With the development of several different experimental schemes for measuring such values it is important to establish the limitations and strengths of each approach. With this in mind results from R 1ρ and H(S/M)QC approaches are compared and an evaluation of the relative merits of each set of experiments is presented.
Materials and methods
Sample preparation
An NMR sample of U-[15N,2H] Abp1p SH3 domain was prepared as described in detail previously (Vallurupalli et al. 2007). The final protein concentration was ≈1.5 mM, in a buffer consisting of 50 mM sodium phosphate, 100 mM NaCl, 1 mM EDTA, 1 mM NaN3, 90% H2O/10% D2O, pH = 7.0. Ark1p peptide, which binds the SH3 domain (Haynes et al. 2007), was expressed and purified as described previously (Vallurupalli et al. 2007) and added to the Abp1p SH3 domain sample to produce a complex with 2.5 ± 0.1% mole fraction bound, as established by 15N CPMG relaxation dispersion experiments (Hansen et al. 2008a). 15N (Korzhnev et al. 2005) and 1HN R 1ρ experiments, along with 15N–1HN H(S/M)QC data-sets (Skrynnikov et al. 2002) were measured on this sample. A sample of the A39V/N53P/V55L Fyn SH3 domain was prepared as U-13C, ≈50% 2H, by protein over-expression in M9 minimal media with 50% D2O and 3 g/l [13C6,2H7]-glucose, as described in detail previously (Neudecker et al. 2006). The sample was 1.0 mM in protein, 0.2 mM EDTA, 0.05% NaN3, 50 mM sodium phosphate, pD 7.0, 100% D2O and was used to record 1Hα R 1ρ rates. 13Cα R 1ρ and H(S/M)QC spectra were recorded on a second A39V/N53P/V55L Fyn SH3 domain sample (1.0 mM) which was generated using [2-13C]-glucose as the sole carbon source to produce isolated 13Cα nuclei, as described previously (Lundstrom et al. 2007a).
NMR spectroscopy
All measurements were carried out at 25°C (Abp1p SH3/Ark1p peptide) or 20°C (A39V/N53P/V55L Fyn SH3) using Varian Inova spectrometers operating at 1H resonance frequencies of 500 and 800 MHz and equipped with triple-resonance room-temperature probes. Residue selective 1D R 1ρ experiments were recorded at 800 MHz. For each residue known to be affected by exchange two decay curves were recorded, corresponding to \( R_{1\rho }^{ \pm } \) (see below), with relaxation delays T up to 60 ms (1Hα, 13Cα) or 100 ms (1HN, 15N). For 15N/1HN R 1ρ measurements each of the 9 points comprising a single decay curve (\( R_{1\rho }^{ + } \) or \( R_{1\rho }^{ - } \)) was recorded in 1.8/2.35 min, resulting in a total measurement time of 1.1/1.4 h per residue (duplicates for each of the 9 points were obtained). R 1ρ values for 13Cα/1Hα were based on 7 time points (duplicates for only 2 of the time points) each requiring 11.3/4.7 min of acquisition time for a net time of 3.4/1.4 h for the complete set of \( R_{1\rho }^{ \pm } \) decays curves.
Signs of 15N and 13Cα shift differences were also obtained from 15N–1HN and 13Cα–1Hα HSQC and HMQC data-sets which were recorded at 500 and 800 MHz in 3 and 2.5 h, respectively. Each data-set was measured in duplicate. Data were processed and analyzed with the nmrPipe/nmrDraw suite of programs (Delaglio et al. 1995) and NMRViewJ (Johnson and Blevins 1994). Simulation and numerical data interpretation were carried out using in-house programs written in Matlab (MathWorks, Inc.).
Statistical analysis
A number of statistical tests have been used to evaluate whether differences in measured \( R_{1\rho }^{ \pm } \) rates are statistically significant, and hence whether the sign of the chemical shift difference between exchanging states can be extracted from the data (see below). The first approach uses a Student t-test analysis (Zar 1984) in which R 1ρ rates are extracted from fits of experimental data to a straight line
and \( R_{1\rho }^{ \pm } \) values compared according to
where
is the variance of the difference in the slopes \( R_{1\rho }^{ \pm } \). The value \( s_{yx}^{2} \) is, in turn, given by
where x i,± are the relaxation time delays (T values in the pulse schemes of Figs. 1 and 6) used to record the decay curves for measuring \( R_{1\rho }^{ \pm } \) comprised of n + and n − points, y i,± are the corresponding \( \ln \left[ {{\frac{{I^{ \pm } (T)}}{{I^{ \pm } (0)}}}} \right] \) values and n + + n − − 4 = ν is the number of degrees of freedom. Calculated Student t-values were compared with two-sided t-test statistics at the 95% confidence level (for example, t 0.05(2),14 = 2.15 for ν = 14 degrees of freedom, which is germane for the measurements here). For t-values such that t > t α(2),ν the \( R_{1\rho }^{ \pm } \) rates are significantly different with confidence level >(1 − α).
A second method has also been used to evaluate whether \( R_{1\rho }^{ \pm } \) rates are distinct, based on the F-test statistic (Zar 1984). Here the intensities of the decay curves I +(T) and I −(T), from which \( R_{1\rho }^{ + } \) and \( R_{1\rho }^{ - } \) are obtained, respectively, are used to generate \( y_{e}^{\prime } (T) = I^{ + } (T)/I^{ - } (T) \). The function \( y_{e}^{\prime } (T) \) is subsequently fit to (1) a horizontal line \( y_{c}^{\prime } = k \) and (2) an exponential \( y_{c}^{\prime } = a\exp (bT) \) and χ2 values calculated for each fit according to
where σ i is the error of each data point, computed as the root mean squared deviations of peak volumes from duplicate measurements. Values of χ 2 obtained from the two models (‘linear’ vs. ‘exponential’) are compared using F-test statistics. A cut-off of p < 2.5% (1 − p > 97.5%) was used to establish whether \( R_{1\rho }^{ \pm } \) differ. Both the t-test and F-test give consistent results for the protein systems studied here.
Results and discussion
Measuring signs of Δϖ by low power off-resonance R 1ρ measurements
For a two-site exchange process involving the interconversion of ground (G) and excited (E) states, \( G\mathop \rightleftharpoons \limits_{{k_{EG} }}^{{k_{GE} }} E \), with the population of the ground state, p G , greatly exceeding that of the excited state, p E , the rotating frame relaxation rate of a nucleus attached to state G is given by (Trott and Palmer 2002)
where \( R_{1} \) and \( R_{2}^{o} \) are longitudinal and intrinsic transverse relaxation rates, respectively, and R ex sin2 θ is the contribution to R 1ρ from chemical exchange. In (5.2) Δω = Ω E − Ω G (rad/sec), where Ω i is the chemical shift of the nucleus in state i, k ex = k GE + k EG , θ = arctan(ω 1/δ G ), ω 1 is the strength of the applied field, \( \omega_{E,eff}^{2} = \omega_{1}^{2} + \delta_{E}^{2} \) and δ E = Ω E − Ω SL , δ G = Ω G − Ω SL are the resonance offsets from the spin-lock carrier for states E and G, respectively. Note that the maximum in R ex occurs when the spin-lock field is resonant with the frequency of the minor state (5.2) and that R ex measured for δ G ≈ −Δω (i.e., Ω SL ≈ Ω E ) is larger than the corresponding value obtained for δ G ≈ Δω. Thus, by recording a pair of R 1ρ values, corresponding to δ G ≈ ± Δω it is possible to establish the sign of Δω since the rate measured for δ G ≈ −Δω will be larger than for δ G ≈ Δω (Korzhnev et al. 2003, 2005; Massi et al. 2004; Trott and Palmer 2002).
Experiments for measurement of the signs of Δω using the R 1ρ approach have been developed previously for both 15N (Korzhnev et al. 2005) and 1Hα (Auer et al. 2009) nuclei and are similar to schemes described by Boulat and Bodenhausen for the measurement of 1H relaxation rates in proteins (Boulat and Bodenhausen 1993) and Hansen and Al-Hashimi for quantifying 13C R 1ρ values in nucleic acids (Hansen et al. 2009). The experiments make use of very weak spin-lock fields that are optimized for each spin examined (see below) and are thus best implemented in one-dimensional mode, resolution permitting. Analogous experiments, exploiting the improved resolution of two-dimensional spectroscopy, and using larger spin-lock fields have also been described (Korzhnev et al. 2003; Massi et al. 2004).
Figure 1 shows the pulse sequence that has been designed for the measurement of 1HN R 1ρ values (and hence for determination of the sign of 1HN Δϖ; in what follows ϖ is in units of ppm) using very weak spin-lock fields, following very closely on approaches published for 15N and 1Hα nuclei (Auer et al. 2009; Korzhnev et al. 2005). Briefly, isolation of the resonance in question is achieved by selective Hartmann-Hahn magnetization transfers from 1HN to 15N (a to b) and back (c to d) using matched spin-lock fields of strength 90 Hz (Chiarparin et al. 1998; Pelupessy and Chiarparin 2000); for spin-locks of this magnitude correlations outside ≈1.5|JNH| from the positions of the 1H/15N radio-frequency carriers are suppressed. The resonance of interest is subsequently aligned along the effective magnetic field by a θ-pulse just prior to point e, followed by a relaxation delay of duration T, during which time the R 1ρ decay rate is measured. A pair of relaxation curves are obtained, corresponding to δ G ≈ ±Δω, from which the sign of Δϖ is established (see below). In order to maximize the difference between R 1ρ values recorded for δ G ≈ +Δω and δ G ≈ −Δω, (referred to in what follows as \( R_{1\rho }^{ + } \) and \( R_{1\rho }^{ - } \), respectively) and hence increase the sensitivity of the experiment, optimal spin-lock offset (δ G ) and field strength (ω 1) values are calculated for each residue by maximizing
as described previously (Auer et al. 2009). In (6) Δ is the difference in decay curves measured for δ G ≈ ±Δω at time T, normalized to T = 0 and T corresponds to the maximum time value used in experiments (either 50 or 100 ms in the applications considered here) with
We have chosen to validate the methodology using an Abp1p SH3 domain–ligand exchanging system described in detail in previous publications (Hansen et al. 2008b; Vallurupalli et al. 2007, 2008), with only a small mole-fraction of ligand added, p E = 2.5%, k ex = 300 s−1, 25°C (as established by CPMG relaxation dispersion). The addition of small amounts of ligand renders the bound conformer the invisible, ‘excited’ state whose chemical shifts can be quantified by CPMG (magnitude) and R 1ρ (sign) relaxation experiments. The signs of Δϖ obtained using the R 1ρ approach can then be directly compared with those measured from spectra of apo and fully ligand-bound conformers as a rigorous test of the method. Figure 2 illustrates a number of examples, focusing on both selective 1HN and 15N R 1ρ experiments. Optimized values of (δ G ,ω 1) were calculated using the exchange parameters from CPMG measurements listed above and maximizing Δ of (6). The first column in Fig. 2 shows selected regions of 2D 15N–1HN correlation maps centered on A12 (a), N28 (b) and D34 (c) with the position of the excited state correlation indicated by the green dot. The 1D spectra obtained from the 15N and 1HN selective R 1ρ experiments recorded on these particular residues are shown as insets in the figures and the positions of the spin-lock fields are denoted by arrows (orange-upfield and red-downfield for 1HN and purple-upfield, blue-downfield for 15N). The 1HN and 15N decay curves in columns 2 and 3, respectively, establish that for the most part distinct \( R_{1\rho }^{ \pm } \) values are measured from which the signs of Δϖ are readily obtained. For example, for A12 the red curve decays more rapidly than the orange, establishing that the sign of Δω = Ω E − Ω G is positive, consistent with expectations from the direct measurements of chemical shifts of apo- and ligand-saturated SH3 domain (green peak). For N28 \( R_{1\rho }^{ + } ({}^{ 1}{\text{H}}^{\text{N}} ) \approx R_{1\rho }^{ - } ({}^{ 1}{\text{H}}^{\text{N}} ) \) and it is not possible to obtain the sign of 1HN Δω (ambiguity indicated by the pair of green peaks in the spectrum).
For many residues with 1HN, 15N chemical shifts such that |\( \Updelta \varpi_{{H^{N} }} \)| > 0.035 ppm, |\( \Updelta \varpi_{N} \)| > 0.3 ppm, substantial differences in \( R_{1\rho }^{ \pm } \) rates are measured (see Fig. 2) and it is straightforward to obtain the desired sign. In cases where values of Δϖ are small, leading to similar \( R_{1\rho }^{ \pm } \) rates we have employed a number of statistical tests, including a Student t-test analysis and an F-test (Zar 1984), to help with the selection of the correct sign, as outlined in “Materials and Methods”. Shown in Fig. 3 are plots of \( I^{ \pm } (T) \) (a–c), along with \( y_{e}^{\prime } (T) = I^{ + } (T)/I^{ - } (T) \) and the best fit horizontal line (d–f) for a number of residues. Note that panels (d–f) provide a complementary visual approach for assessing the data; only in cases where \( y_{e}^{\prime } (T) \) is ‘distinct’ from the horizontal line does it follow that \( R_{1\rho }^{ + } \ne R_{1\rho }^{ - } \). In order to provide a ‘frame of reference’ for what constitutes ‘distinct’ we have chosen residues where \( R_{1\rho }^{ \pm } \) (1HN) values are different with essentially 1 − p = 100% certainty (N16; a,d), ≈97% certainty (E30; b,e) and <85% certainty (F20; c,f), based on an F-test analysis, with t-values of 50.2, 2.4 and 1.0, respectively. Note that a t-value of 2.15 corresponds to a confidence level of 95% for the 14 degrees of freedom in each fit.
Because the Abp1p SH3 domain–peptide exchanging system has been chosen, for which the signs of Δϖ are known a priori, it is possible to establish some general guidelines that are helpful for selecting correct signs from the R 1ρ methodology discussed above. (1) For values of t < 2.15 (t-test) or 1 − p < 97.5% (F-test) the data must be disregarded even in the few cases where on the basis of inspection of decay curves one might be tempted to choose a sign. Our experience for the several cases in the Abp1p SH3 domain that are in this category is that erroneous signs can be obtained if the data is analyzed by inspection. (2) For borderline cases where (1 − p)-values are on the order of 97.5% (or t values on the order of 2.15 for the decay curves here), each data-set must be inspected carefully and only in cases where all of the data points from one curve are either above or below those of the second decay profile should signs be extracted and they must be treated with skepticism. (3) For values of t > 3.5 (t-test) or 1 − p > 99.5% (F-test) accurate values of the sign are obtained.
Comparison of the signs isolated from the R 1ρ method, following the criteria listed above, with the ‘correct’ values measured directly from spectra showed that all of the signs for the 29 1HN values that were obtained in confidence were correct, with Δϖ values ≥0.03 ppm quantified. In the case of 15N, signs could be obtained for 26 residues using the statistical test criteria described in “Materials and Methods” and for all but one residue |Δϖ| values were larger than 0.15 ppm. Interestingly, for L57, for which |Δϖ| = 0.1 ppm, a wrong sign was obtained. We are uncertain as to why this is the case, however, it is worth noting that simulations establish that a statistically significant difference between \( R_{1\rho }^{ \pm } \) values should not have been obtained for this residue with the exchange parameters of the Abp1p SH3 domain–peptide system used here.
In addition to cross-validating the R 1ρ experiments by establishing how many of the determined signs are correct, as discussed above, it is also possible to compare experimental and calculated |R 1ρ | rates. Figure 4 shows the correlation between calculated and measured |ΔR 1ρ | values (a,1HN; b,15N), with the former given by
In (8) values of (p E , k ex ) from CPMG measurements were used, with values of Δω obtained from direct measurement of shift differences. Notably, ΔR 1ρ is independent of R 1 and R 02 . As can be seen in Fig. 4, the correlation is high, providing further confidence in the methodology. It is worth emphasizing that cross-validation is possible even in cases where the signs of Δω are not known a priori, since the calculated values of |ΔR 1ρ | are derived solely from parameters that are available from CPMG relaxation dispersion experiments.
The experimental results obtained on the SH3 domain–ligand exchanging system presented here establish the robustness of the methodology, at least in this case. It is of interest, however, to explore the sensitivity of the approach to the full range of exchange parameters that might in general be encountered in studies of excited protein states. Figure 5 plots Δ values of (6) (T = 100 ms) as a function of (p E , k ex , |Δϖ|). For reference, a plot of Δ vs. |Δϖ| is presented in Fig. 5a using values of (p E , k ex ) = (2.5%, 300 s−1) that are germane for the Abp1p SH3 system, with a horizontal line at Δ = 4%, corresponding to a threshold above which differences in \( R_{1\rho }^{ \pm } \) values have been found to be reliable in this case. As p E increases values of Δ become larger so that it is easier to measure signs of shift differences, as expected (Fig. 5b). Further, as k ex increases, it becomes increasingly difficult to obtain the signs of small shift differences, but easier for large Δϖ values, Fig. 5c. Thus, the R 1ρ methodology is optimal for systems with large p E and relatively small k ex values. In cases where temperature dependent CPMG data is available it is worthwhile simulating similar curves to those in Fig. 5a to establish the best set of conditions to record experiments. It should be noted that values of Δ do depend on R 1 and R 02 , with transverse relaxation rates available from CPMG dispersion profiles recorded at high νCPMG. Here we have used values of R 1 = 1 s−1, R 02 (1HN) = 10 s−1, R 02 (15N) = 10 s−1, R 02 (1Hα) = 35 s−1 and R 02 (13Cα) = 35 s−1 (approximate values obtained for the A39V/N53P/V55L Fyn SH3 domain, 20°C, see below).
In addition to the 1HN R 1ρ scheme presented here and the corresponding 15N and 1Hα experiments published previously (Auer et al. 2009; Korzhnev et al. 2005), we have also developed an analogous sequence for obtaining the signs of 13Cα Δϖ values, Fig. 6. This scheme, along with the 1Hα version, is applied to a protein folding ‘reaction’ involving an on-pathway folding intermediate of the A39V/N53P/V55L Fyn SH3 domain (Neudecker et al. 2006), where the intermediate state (p E = 1.4%) exchanges with the folded (ground) conformer with a rate of k ex = 780 s−1 at 20°C. 1Hα and 13Cα \( R_{1\rho }^{ \pm } \) decay curves for E33 and T47 are shown in Fig. 7, illustrating the quality of data that can be obtained on this system. Of the 45 residues for which 13Cα dispersion profiles could be quantified, signs were obtained for 19 with values of \( \Updelta \varpi_{{C^{\alpha } }} \) down to 0.5 ppm. All the signs obtained are in agreement with those measured using the H(S/M)QC approach of Skrynnikov et al. (Skrynnikov et al. 2002). Finally, signs for \( \Updelta \varpi_{{H^{\alpha } }} \) were obtained for 19 residues with shift differences as low as 0.17 ppm (Auer et al. 2009).
Comparison of low power off-resonance R 1ρ and H(S/M)QC measurements for the determination of the sign of Δϖ
To date the most common approach for measuring the signs of 15N or 13C shift differences between exchanging states involves comparison of HSQC and HMQC data-sets recorded at a number of static magnetic fields (Skrynnikov et al. 2002). More specifically, Skrynnikov et al. (2002) have shown that the difference in peak positions (ppm) in HSQC spectra recorded at a pair of fields, \( B_{0}^{(i)} \) and \( B_{0}^{(ii)} \) \( ({B_{0}^{(i)} < B_{0}^{(ii)}}) \), is given by
with a shift (ppm) also noted between peaks in HSQC and HMQC data-sets recorded at a single magnetic field,
where \( \tilde{\xi }_{X} = \Updelta \varpi_{X} /k_{EG} \) and it is assumed that nuclei in states G and E have the same intrinsic transverse relaxation rates. It can be shown that \( \tilde{\sigma }_{X} \) and \( \Updelta \varpi_{X} \) have the same sign, as do \( \tilde{\Upomega }_{X} \) and \( \Updelta \varpi_{X} \) for the most part (but see below), facilitating extraction of the sign of Δϖ X (Skrynnikov et al. 2002). It is of considerable interest to compare the R 1ρ method with the more established methodology in cases were both are applicable. Figure 8a shows values of Δ (6) as a function of \( \Updelta \varpi_{{C^{\alpha } }} \) for a number of (p E , k ex ) values, including those measured for the A39V/N53P/V55L Fyn SH3 domain. The 4% threshold (horizontal line) above which meaningful differences in \( R_{1\rho }^{ \pm } \) can be measured is shown. It is worth noting that for exchange parameters of (p E , k ex ) = (1.4%, 780 s−1), signs are predicted to be measurable in cases where \( \Updelta \varpi_{{C^{\alpha } }} \)> 0.5 ppm, as observed experimentally. By means of comparison, plots of differences in peak positions in HSQC spectra recorded at 500 and 800 MHz, \( \tilde{\sigma }_{{C^{\alpha } }} \), for a number of (p E , k ex ) values are shown in Fig. 8b, where \( \tilde{\sigma }_{{C^{\alpha } }} =\) \( \varpi_{{C^{\alpha } }} (500{\text{ MHz)}}- \varpi_{{C^{\alpha } }} (800{\text{ MHz)}} \), while in Fig. 8c a contour plot of \( \tilde{\Upomega }_{{C^{\alpha } }} \) as a function of \( (\Updelta \varpi_{{C^{\alpha } }} ,\Updelta \varpi_{{H^{\alpha } }} ) \) is presented for (p E , k ex ) = (1.4%,780 s−1), 500 MHz. Shown also in Fig. 8b are horizontal lines at ±2 ppb, the experimentally determined lower limit for measuring accurate \( \tilde{\sigma }_{{C^{\alpha } }} \)values for the Fyn SH3 domain based on the reproducibility of ‘exchange-free’ peak positions in HSQC spectra. It is clear from a comparison of the plots, focusing on (p E , k ex ) = (1.4%,780 s−1), that measurements of R 1ρ and \( \tilde{\sigma } \) methods are sensitive to the sign of Δϖ only for relatively large chemical shift differences, on the order of greater than 0.5 ppm in this case. By contrast, the measurement of \( \tilde{\Upomega }_{{C^{\alpha } }} \) provides accurate sign information for much smaller \( \Updelta \varpi_{{C^{\alpha } }} \) values (≈0.14 ppm), although only if \( \Updelta \varpi_{{H^{\alpha } }} \) ≠ 0. An additional advantage with the \( \tilde{\Upomega }_{X} \) measurements is that because spectra recorded at a single magnetic field are compared the reproducibility of peak positions is very high; for the Fyn SH3 domain ‘exchange free peaks’ were within 0.5 ppb in HSQC/HMQC spectra recorded at the same field so that \( \tilde{\Upomega }_{X} \) values as low as 1 ppb are significant. A (small) disadvantage with the approach, however, is that there is a region in \( (\Updelta \varpi_{{C^{\alpha } }} ,\Updelta \varpi_{{H^{\alpha } }} ) \) space where negative values of \( \tilde{\Upomega }_{{C^{\alpha } }} \) correspond to positive \( \Updelta \varpi_{{C^{\alpha } }} \)and vice versa, indicated in Fig. 8c by shading. It should be noted that in this region values of \( \tilde{\Upomega }_{{C^{\alpha } }} \) are typically very small (<0.5 ppb in the example considered here), making it hard to extract reliable shift differences in any event. Often an indication that values of \( (\Updelta \varpi_{{C^{\alpha } }} ,\Updelta \varpi_{{H^{\alpha } }} ) \) lie in a ‘problem’ region is that opposite signs are obtained from measurement of \( \tilde{\sigma }_{{C^{\alpha } }} \) and \( \tilde{\Upomega }_{{C^{\alpha } }} \). However, so long as the magnitudes of \( \Updelta \varpi_{{C^{\alpha } }} \)and \( \Updelta \varpi_{{H^{\alpha } }} \)are known, along with the exchange parameters, it is possible to establish the reliability of the method through simulation (10).
Of the 46 |Δϖ N| values that were quantified from fits of CPMG dispersion profiles recorded on the Abp1p-ligand exchanging system, signs have been obtained for 28 residues from measurement of \( \tilde{\sigma }_{N} \) and \( \tilde{\Upomega }_{N} \). The signs of chemical shift differences, |Δϖ N|, as low as 0.06 ppm could be determined. By comparison, 25 signs (|Δϖ N| > 0.15 ppm) were obtained from the R 1ρ method. Notably, 4 signs could be obtained only using the R 1ρ approach since for these residues \( \Updelta \varpi_{{H^{N} }} \) ≈ 0, preventing quantitation from a comparison of HSQC and HMQC data-sets, while 7 signs were only available from the H(S/M)QC methodology (see supporting information). Similar trends are noted from 13Cα measurements on the A39V/N53P/V55L Fyn SH3 domain. Out of a total of 45 |\( \Updelta \varpi_{{C^{\alpha } }} \)| values quantified by CPMG relaxation dispersion experiments, signs were obtained for 34 \( \Updelta \varpi_{{C^{\alpha } }} \) values larger than 0.3 ppm from a combined \( \tilde{\sigma }_{{C^{\alpha } }} \), \( \tilde{\Upomega }_{{C^{\alpha } }} \) analysis, while signs were available for 19 residues with \( \Updelta \varpi_{{C^{\alpha } }} \) > 0.5 ppm based on the R 1ρ method (see supporting information).
The experimental results establish that in general the H(S/M)QC method is preferred over the R 1ρ approach, at least for obtaining signs of chemical shift differences of heteronuclei. However, the methods are complementary. For example, simulations establish that over a reasonable range of k ex values that are normally relevant for systems studied by CPMG dispersion experiments \( \tilde{\Upomega }_{X} \) values increase with exchange rate (see supporting information), while the sensitivity of the off-resonance spin-lock method decreases, at least for relatively small chemical shift differences (Fig. 8a). By contrast, a strength of the R 1ρ approach is that the differences in \( R_{1\rho }^{ \pm } \) values increase with Δϖ, while both \( \tilde{\sigma }_{{}} \)and \( \tilde{\Upomega }_{{}} \) values have definite maxima, depending on the exchange parameters (Fig. 8a–c). Figure 8d–f presents an example of an exchanging system where the sign information is forthcoming from R 1ρ measurements but potentially not from H(S/M)QC spectra. Here (p E , k ex ) = (1.4%,200 s−1) and so long as |\( \Updelta \varpi_{{C^{\alpha } }} \)| > 0.3 ppm, the sign of \( \Updelta \varpi_{{C^{\alpha } }} \) can be obtained from a comparison of \( R_{1\rho }^{ \pm } \) rates, Fig. 8d. The very small \( \tilde{\sigma }_{{C^{\alpha } }} \)values obtained in this case (<1 ppb), Fig. 8e, preclude sign extraction from HSQC spectra and likewise the small values of \( \tilde{\Upomega }_{{C^{\alpha } }} \) < 2ppb could very well complicate the determination of sign from this method as well, Fig. 8f. Certainly for |\( \Updelta \varpi_{{C^{\alpha } }} \)| > 1 ppm the sign information is not available from any combination of HMQC and HSQC data-sets. It is also noteworthy that while the H(S/M)QC approach is the first choice for 15N and 13C nuclei, the R 1ρ method is now commonly used in our laboratory for extracting signs of 1HN and 1Hα shift differences. Previously, we have compared double- and zero-quantum 15N–1HN relaxation dispersion profiles to obtain the relative signs of \( \Updelta \varpi_{{H^{N} }} \)and \( \Updelta \varpi_{N} \) from which the sign of \( \Updelta \varpi_{{H^{N} }} \) can be obtained so long as (1) the sign of \( \Updelta \varpi_{N} \) is known and (2) that \( \Updelta \varpi_{N} \) is sufficiently large that differences in the profiles are present in the first place (Orekhov et al. 2004). Extraction of robust sign information for \( \Updelta \varpi_{{H^{N} }} \)from \( R_{1\rho }^{ \pm } \) measurements is not dependent on the value of \( \Updelta \varpi_{N} \). Finally, the spin-lock approach remains the most convenient method for measuring signs of \( \Updelta \varpi_{{H^{\alpha } }} \), especially since the same sample used to record 1Hα CPMG dispersion profiles can be used in this case as well (Auer et al. 2009).
In summary, we have presented pulse schemes for the measurement of 1HN and 13Cα \( R_{1\rho }^{ \pm } \) relaxation rates, complementing schemes previously published for 15N and 1Hα (Auer et al. 2009; Korzhnev et al. 2005). The methodology is shown to be robust, although for 15N and 13Cα at least, fewer signs are available than from the H(S/M)QC approach (Skrynnikov et al. 2002). In addition, the H(S/M)QC method is less time consuming and the information is available in the form of 2D data-sets, as opposed to the 1D spectra recorded here, that leads to increased numbers of residues that can be quantified. We therefore suggest that sign determination for 15N and 13Cα be carried out using \( \tilde{\sigma }_{X} \) and \( \tilde{\Upomega }_{X} \) values from HSQC and HMQC data-sets recorded at no fewer than a pair of static magnetic fields. In some cases where data might be ambiguous or for exchanging systems for which the sign information is difficult to extract from the H(S/M)QC method (low k ex and p E ), \( R_{1\rho }^{ \pm } \)measurements can readily be performed. For measurement of signs of 1HN and 1Hα shift differences the R 1ρ approach has been very useful for the small protein systems that we are currently studying. It is clear that chemical shifts will play a critical role in structural studies of invisible, excited states. The development of a number of robust approaches to extract such information is thus an important goal as a prerequisite for the in-depth characterization of these biologically important conformers.
Supporting material
Tables of signed Δϖ values for the Abp1p-Ark1p exchanging system (15N, 1HN) and the A39V/N53P/V55L Fyn SH3 domain (13Cα, 1Hα). Figures of contour plots of \( \tilde{\Upomega }_{X} \) for different values of exchange parameters and static magnetic fields. Pulse sequence code for measurement of 1HN and 13Cα R 1ρ rates.
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Acknowledgments
R.A. is a recipient of a DOC-fFORTE-fellowship of the Austrian Academy of Sciences. P.N. and D.F.H. are recipients of postdoctoral fellowships from the Canadian Institutes of Health Research (CIHR). This work was supported by a grant from the CIHR. L.E.K. holds a Canada Research Chair in Biochemistry.
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Auer, R., Hansen, D.F., Neudecker, P. et al. Measurement of signs of chemical shift differences between ground and excited protein states: a comparison between H(S/M)QC and R 1ρ methods. J Biomol NMR 46, 205–216 (2010). https://doi.org/10.1007/s10858-009-9394-z
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DOI: https://doi.org/10.1007/s10858-009-9394-z