Abstract
Methyl groups have emerged as powerful probes of protein dynamics with timescales from picoseconds to seconds. Typically, studies involving high molecular weight complexes exploit 13CH3- or 13CHD2-labeling in otherwise highly deuterated proteins. The 13CHD2 label offers the unique advantage of providing 13C, 1H and 2H spin probes, however a disadvantage has been the lack of an experiment to record 13C Carr–Purcell–Meiboom–Gill relaxation dispersion that monitors millisecond time-scale dynamics, implicated in a wide range of biological processes. Herein we develop an experiment that eliminates artifacts that would normally result from the scalar coupling between 13C and 2H spins that has limited applications in the past. The utility of the approach is established with a number of applications, including measurement of ms dynamics of a disease mutant of a 320 kDa p97 complex.
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Introduction
NMR spectroscopy has emerged as a very powerful technique for the study of protein dynamics over timescales that span many orders of magnitude (Mittermaier and Kay 2006). The development of optimal labeling schemes and the design of the appropriate experiments that exploit them have proven critical in extending applications to increasingly larger proteins and protein complexes (Pervushin et al. 1998; Tugarinov et al. 2003). One popular approach for studies of sidechain dynamics makes use of proteins that are highly deuterated, with methyl group probes labeled as either 13CH3 or 13CHD2 (Tugarinov and Kay 2005). Each different methyl labeling approach has unique and often complementary strengths. For example, the 13CH3 label provides the greatest sensitivity for studies of high molecular weight protein systems in general, by exploiting a methyl-TROSY effect (Tugarinov et al. 2003), and also enables studies of both fast time scale dynamics (ps–ns) (Tugarinov et al. 2007) and ms motional processes (Korzhnev et al. 2004) using approaches that exploit the cross-correlated relaxation networks that manifest in this spin system (Werbelow and Grant 1977). The 13CHD2 label presents 13C, 1H and 2H spins for measurement of motion in the ps–ns regime (Ishima et al. 2001) and 13C and 1H spins for quantifying dynamics that are in the μs–ms range via a number of different R1ρ-, CPMG- and CEST-types of experiments (Baldwin et al. 2010; Brath et al. 2006; Otten et al. 2010; Rennella et al. 2015).
A particularly important goal in protein dynamics studies by NMR is to characterize sparsely populated and transiently formed states that are generated via excursions from the populated, ground conformer, often the only state that is amenable to characterization using more ‘routine’ non-NMR biophysical measurements (Sekhar and Kay 2013). A number of NMR experiments have been developed with this goal in mind, including those exploiting 13CH3 and 13CHD2 methyl probes. Notably, 13C CEST-based experiments have been shown to be fivefold to sixfold more sensitive for 13CHD2 methyl groups than for their 13CH3 counterparts in an application involving the half proteasome that has a molecular mass of 360 kDa (Rennella et al. 2015). In addition, a 1H-CPMG experiment has been developed for the measurement of ms time-scale dynamics in 13CHD2-labeled proteins and applied to studies of proteasome gating (Baldwin et al. 2010). In contrast, corresponding single-quantum (SQ) based 1H-CPMG experiments using fully protonated methyls are not possible unless magnetization from only \( \frac{1}{2}\) manifolds is selected (Tugarinov and Kay 2007), since imperfections in CPMG refocusing pulses lead to artifacts that interfere with the quantification of relaxation dispersion profiles (Korzhnev et al. 2005). Despite these advantages, a significant drawback with using the 13CHD2 label for studies of slow dynamics relates to the fact that it has not been possible to record 13C-CPMG dispersion profiles over the complete range of 13C pulsing frequencies that are often necessary to fully characterize such exchanging systems (Ishima et al. 1999). This is especially problematic for systems where the exchange rate is relatively slow (on the order of several hundreds/s). At the heart of the problem lies an interference effect resulting from the ‘combined action’ of the one-bond 13C–2H scalar couplings and the rapid 2H spin–lattice relaxation in such systems that can severely distort dispersion profiles (see below). Herein we present a 13C-SQ CPMG pulse scheme for studies of chemical exchange using 13CHD2 methyls that eliminates this problem. The robustness of the experiment is established and its utility demonstrated with an application to the measurement of exchange dynamics in a 320 kDa construct of p97, a protein that plays a major role in cellular homeostasis (Braun and Zischka 2008).
Figure 1 shows the pulse sequence that has been developed for measurement of 13C SQ CPMG relaxation dispersion profiles using 13CHD2 spin systems, where T relax is the CPMG interval for recording effective 13C transverse relaxation rates, R 2,eff , as a function of the frequency of application of 13C chemical shift refocusing pulses, ν CPMG . During this period a 1H continuous wave (CW) decoupling field is applied at high strength (≥15 kHz) (Jiang et al. 2015), ensuring that 13C magnetization remains in-phase with respect to the coupled 1H spin in the 13CHD2 methyl. This eliminates the effects of imbalance in relaxation rates of in-phase and anti-phase 13C magnetization (with respect to 1H) that can give rise to spurious dispersion profiles. The 13C–2H scalar coupled evolution of 13C magnetization during the CPMG interval can also lead to a ν CPMG dependent contribution to the dispersion profile that is independent of chemical exchange, complicating extraction of robust exchange parameters. This is illustrated by an application to a sample of the B1 domain from immunoglobulin binding protein G (GB1). GB1 does not show ms time-scale dynamics in other experiments (Korzhnev et al. 2005), yet pathologic dispersion profiles are observed for all residues using the scheme of Fig. 1 when 2H decoupling is not applied during the CPMG interval, Fig. 1b (left). These ‘erroneous’ profiles, showing large R 2,eff rates at low CPMG pulsing frequencies, result from 13C–2H scalar coupled evolution of 13C magnetization in concert with 2H longitudinal relaxation that effectively interconverts the 13C multiplet components as they evolve (Abragam 1961; Grzesiek et al. 1993). For ν CPMG ≥ 250 Hz the attached deuterons are effectively decoupled and this region of the resulting dispersion profile is thus flat in the absence of exchange. Application of a uniform 1 kHz CW 2H decoupling field improves performance at the low CPMG frequency end but artifacts are predicted when ν CW = (2k − 1).ν CPMG , where ν CW is the strength of the 2H CW field in Hz and k is a natural number. As can be seen in Fig. 1b (middle) large spikes in R 2,eff values are observed at 350 Hz (k = 2) and 1 kHz (k = 1), as predicted, as well as smaller spikes for k > 2 (inset). These arise when the centers of the 13C and 2H pulses coincide, leading to evolution of 13C-2H scalar coupling during T relax . In contrast, when a 2H decoupling scheme is used such that ν CW = 2k . ν CPMG for ν CPMG ≤ 250 Hz (Vallurupalli et al. 2007) and ‘no field’ for ν CPMG > 250 Hz, flat dispersion profiles are obtained over the complete ν CPMG range, Fig. 1b (right). Here we have kept the 2H CW field close to 1 kHz, with changes ~± 10 % for different ν CPMG rates to ensure that ν CW = 2k . ν CPMG , Fig. 2. The required power levels for the 2H CW decoupling field as a function of ν CPMG can be calculated using a C-based program that is provided in Supporting Information and by the authors upon request.
Having established a robust experimental scheme for recording 13C dispersion profiles in 13CHD2 labeled proteins we next recorded experiments on a sample of an Ile, Leu, Val 13CHD2-labeled G48A Fyn SH3 domain that interconverts between a highly populated native, folded conformation and a sparsely populated ensemble that corresponds to the unfolded state. The insets in Fig. 3 show 13C dispersion profiles for Leu 29δ2 and Val 55γ2 recorded with the pulse scheme of Fig. 1. Profiles from all residues have been fit simultaneously to a two state model of chemical exchange, \( G {\mathop{\rightleftarrows}\limits_{ {k_{{EG}} } }^{ {k_{{GE}} } }} E \), where G and E denote ground and excited states, respectively. Extracted exchange parameters, k ex = 104 ± 2 s−1, p E = 10.0 ± 0.2 % (25 °C), where p E is the fractional population of the rare state, are in excellent agreement with those obtained previously from 13C CEST, k ex = 105 ± 2 s−1, p E = 9.5 ± 0.1 %. Further verification of the methodology can be obtained by comparing the extracted chemical shifts, |Δϖ| (ppm), between the exchanging states obtained from the present study with those from 13C-CEST, Fig. 3, and the agreement is excellent.
We were interested in comparing the sensitivity of the present scheme with previously published methods for recording 13C CPMG profiles of 13CH3-labeled proteins, focusing in particular on high molecular weight complexes. To this end we have compared spectra recorded on the half proteasome, α7α7, from T. Acidophilum (Sprangers and Kay 2007), labeled as [U-2H; Ileδ1-13CH3; Leu,Val-13CH3/12CD3; Met-13CH3] or [U-2H; Ileδ1-13CHD2; Leu,Val-13CHD2/13CHD2; Met-13CH3]. The α7α7 complex has an aggregate molecular mass of 360 kDa and an estimated overall tumbling time of 125 ns at 50 °C (Sprangers and Kay 2007). Figure 4 plots signal-to-noise (S/N) values as a function of methyl group for CPMG spectra recorded with T relax = 25 ms, 50 °C, using a methyl-TROSY scheme (Korzhnev et al. 2004) (black squares, 13CH3-labeled protein), the present pulse sequence (dark grey circles, 13CHD2-labeling) and a previously published 13C SQ-based experiment that was intended for studies of small to medium sized proteins (Lundstrom et al. 2007) (light grey diamonds, 13CH3). As expected the methyl-TROSY scheme provides the best sensitivity (by roughly a factor of 2-3, on average, over the SQ 13CHD2 experiment), with the SQ 13CHD2 version significantly better than its SQ 13CH3 counterpart. It is clear that from the point of view of sensitivity, often limiting in applications involving high molecular weight proteins, that the methyl-TROSY scheme is advantageous.
Despite the sensitivity loss in comparison to the methyl-TROSY experiment there is an advantage with the 13CHD2-scheme. As discussed previously, methyl-TROSY CPMG profiles are sensitive to both 13C and 1H chemical shift differences between spins in the exchanging states (Korzhnev et al. 2004). This offers the appealing possibility of obtaining both 13C and 1H methyl chemical shifts of the rare conformer from a single experiment. However, in practice it can be difficult to simultaneously obtain accurate Δϖ values for both 13C and 1H, unless S/N is high, and experiments that probe one Δϖ value at a time, as is possible for 13CHD2- but not for 13CH3-labeled samples using the methyl-TROSY approach (Korzhnev et al. 2005), can thus be desirable. By means of illustration, we have carried out simulations showing that while similar errors in 13C Δϖ values are obtained from fits of SQ and methyl-TROSY data when 1H Δϖ = 0, fitted shift parameters from methyl-TROSY dispersions can become less accurate as 1H shift differences increase because dispersion size correlates inversely with the magnitude of 1H Δϖ (Fig. S1). For example, 13C SQ CPMG dispersion profiles that are on the order of 5–10 s−1 for 13CH3-labeled G48A Fyn SH3 decrease significantly (to ~2–3 s−1) in methyl-TROSY CPMG data sets, making it challenging to extract accurate 13C Δϖ values from fits. This emphasizes the tradeoff between high sensitivity (methyl-TROSY) and robustness of data fitting that is higher in the SQ experiment where dispersion profiles are insensitive to 1H Δϖ.
Figure 5 shows selected 13C and 1H SQ dispersion profiles recorded on a [U-2H; Ileδ1-13CHD2; Leu,Val-13CHD2/13CHD2; Met-13CHD2]-labeled sample of an R95G mutant of p97. Notably, both 13C and 1H profiles can be recorded on a single sample. The p97 protein is a ubiquitous ATPase, comprising ~1 % of the total protein in the cell (Song et al. 2003), with the R95G mutation responsible for a neurodegenerative disease that leads to dementia (Kimonis et al. 2008). To address the role of dynamics in p97 function/misfunction we have recorded 13C/1H CPMG dispersion profiles of this protein. An extensive conformational exchange process has been discovered involving residues at domain interfaces that can be fit globally to a two-site exchange model with k ex = 2300 ± 400 s−1.
In summary, we have presented an experiment for recording 13C SQ CPMG dispersion profiles of 13CHD2-labeled proteins. Artifacts that normally result from the presence of coupled deuterons are eliminated using a 2H decoupling field that varies as a function of ν CPMG . The utility of the approach has been established through tests on small proteins, showing the expected flat dispersion profiles where there is no exchange, while correct exchange parameters are fit for systems that interconvert. Although the 13CHD2-based experiment is significantly less sensitive than the methyl-TROSY CPMG scheme, it can offer advantages with regards to robustness of extracted chemical shift parameters, and the 13CHD2-labeling does offer the possibility of performing a wide range of different (1H, 13C, 2H) relaxation measurements. Notably, high quality data can be obtained on a 320 kDa fragment of p97. The 13CHD2-CPMG experiment, in concert with a previously published 1H-CPMG scheme for 13CHD2-labeled proteins (Baldwin et al. 2010), enables accurate measurement of both 1H and 13C chemical shifts of rare protein conformers that will provide an important starting point for characterizing how these states are involved in biological function.
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Acknowledgments
A.K.S is the recipient of an EMBO Long Term Fellowship and an Early Postdoc Mobility Fellowship from the Swiss National Science Foundation. This work was funded through a Canadian Institute of Health Research grant to L.E.K. L.E.K. holds a Canada Research Chair in Biochemistry.
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Rennella, E., Schuetz, A.K. & Kay, L.E. Quantitative measurement of exchange dynamics in proteins via 13C relaxation dispersion of 13CHD2-labeled samples. J Biomol NMR 65, 59–64 (2016). https://doi.org/10.1007/s10858-016-0038-9
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DOI: https://doi.org/10.1007/s10858-016-0038-9