Abstract
RNA plays a central role in biological processes and exhibits a variety of secondary and tertiary structural features that are often stabilized via hydrogen bonds. The distance between the donor and acceptor nitrogen nuclei involved in NH…N hydrogen bonds in nucleic acid base pairs is typically in the range of 2.6–2.9 Å. Here, we show for the first time that such spatial proximity between 15N nitrogen nuclei can be conveniently monitored via magic angle spinning solid state NMR on a uniformly 15N-labelled RNA. The presence of NH…N hydrogen bonds is reflected as cross-peaks between the donor and acceptor nitrogen nuclei in 2D 15N dipolar chemical shift correlation spectra. The RNA selected for this experimental study was a CUG repeat expansion implicated in the neuromuscular disease myotonic dystrophy. The results presented provide direct evidence that the CUG repeat expansion adopts a double-stranded conformation.
INTRODUCTION
A variety of secondary and tertiary structural features are exhibited by RNAs that are involved in a multitude of biological processes (1). Previously, the structural characterization of RNA has been undertaken mainly via X-ray crystallography and solution state NMR. Efficient isotopic labelling techniques, high-field spectrometers and multidimensional FT NMR have made RNA structure elucidation possible, and structural characteristics of a variety of interesting RNA and RNA–protein complexes have been elucidated via solution state NMR (2–6). The prerequisite for any NMR-based structure determination is the sequence-specific assignment of resonances, and homo- and heteronuclear chemical shift correlation experiments are commonly employed in this context. Many of the heteronuclear techniques used for RNA resonance assignments in the solution state require radiofrequency (RF) pulse trains with large interpulse delays (7). For large RNAs with correspondingly broad NMR linewidths, the efficacy of solution state NMR techniques for structure determination is considerably reduced. On the other hand, solid state NMR (ssNMR) poses no such size limitations. The linewidth observed in the solid state is not dependent on the size of the molecule. Additionally, large dipolar couplings permit efficient homo- and heteronuclear coherence transfers.
Owing to the increased resolution and sensitivity obtainable, magic angle spinning (MAS) ssNMR is the method of choice for the study of polycrystalline specimens. Although weak dipolar couplings between low γ nuclei are normally averaged out under MAS, a variety of homo- and heteronuclear dipolar recoupling techniques have been introduced recently (8–10). Besides permitting the generation of chemical shift correlation data, dipolar recoupling experiments may also be used to obtain structural constraints such as distances and torsion angles. As with solution state NMR, it is possible to employ the distance geometry approach to generate an ensemble of structures that are consistent with ssNMR derived distance constraints. Such an approach has been elegantly demonstrated by Castellani et al. (11) in their MAS ssNMR study of the SH3 domain of α-spectrin. However, MAS ssNMR has not been employed in structural studies of RNA to date. As mentioned above, assignment of RNA resonances is the critical first step for any ssNMR-based structure determination. Duplex regions, characterized by hydrogen bonding between complementary bases, are commonly found in RNA. In solution state NMR, NH…N hydrogen bonds in canonical and non-canonical base pairs of RNA are identified by HNN-COSY (12,13). This experiment makes use of the scalar coupling interaction to correlate the hydrogen-bonded nitrogen nuclei and the efficacy of the approach has been demonstrated in a variety of systems (14). A similar approach, which correlates the imino donor 15N nucleus and the corresponding acceptor 15N nucleus of a complementary base, should be useful in ssNMR studies of 15N-labelled RNA. As the scalar coupling between hydrogen-bonded nitrogen nuclei is typically small, it is necessary to employ large mixing times to induce coherence transfer and to obtain correlation peaks with measurable signal intensities. Such weak scalar coupling based experiments in the solid state are generally difficult to implement due to technical difficulties (e.g. the application of a high-power 1H decoupling field for durations that are much longer than the typical MAS NMR probe specifications). Additionally, significant signal intensity losses arising from transverse relaxation processes may also be encountered. On the other hand, in solid state one can take advantage of the fact that in NH…N hydrogen bonds the nitrogen nuclei are spatially proximal, with typical N–N distances being in the range of 2.9–2.6 Å corresponding to a dipolar coupling strength (DNN) of ∼50–70 Hz. Such spatial proximity of nitrogen nuclei, and hence the presence of hydrogen-bonded base pairs, can be monitored via MAS homonuclear dipolar correlation experiments.
Radiofrequency driven recoupling (RFDR) with longitudinal magnetization exchange (15,16) is one of the techniques that has found wide application for generating 2D MAS dipolar chemical shift correlation spectra in biological systems (17–21). RFDR is a zero-quantum recoupling sequence and involves the application of rotor synchronized 180° pulses for dipolar recoupling. Recently, we have shown that superior performance can be obtained by employing adiabatic instead of the conventional rectangular inversion pulses in the RFDR sequence (22,23).
Since homonuclear 15N dipolar correlation experiments on RNA have not been reported previously, we have evaluated numerically and experimentally the potential of RFDR with adiabatic pulses for obtaining 15N dipolar correlation spectra in uniformly 15N-labelled RNA. The numerical results presented here indicate that adiabatic inversion pulse driven 15N magnetization exchange spectroscopy can lead to cross-peaks of measurable signal intensity between the imino donor nitrogen and the corresponding acceptor nucleus on the complementary base. We have also experimentally assessed the efficacy of these emerging techniques by performing 15N dipolar correlation experiments on a 100 kDa RNA composed of 97 CUG repeats, or (CUG)97. The experimental results show that MAS 15N dipolar correlation experiments facilitate the identification of hydrogen-bonded base pairs.
CUG repeats of >50 have been implicated in the neuromuscular disease myotonic dystrophy type 1 (DM1) (24). A current model for DM1 pathogenesis suggests that these repeats fold into large and stable double-stranded (ds) RNA hairpins (25,26) with GC and UU base pairs that sequester the muscleblind (MBNL) proteins (27,28). Sequestration and loss of MBNL function leads to misregulation of alternative pre-mRNA splicing of a number of gene transcripts. For example, the major skeletal muscle chloride channel ClC–1 is mis-spliced in both human DM1 and mouse Mbnl1ΔE3/ΔE3 knockout muscle leading to loss of normal chloride conductance and muscle hyperexcitability (myotonia) (29,30). The experimental results presented here provide direct evidence that this (CUG)97 RNA adopts a double-stranded conformation.
MATERIALS AND METHODS
RNA synthesis and sample preparation
(CUG)97 was transcribed in vitro from the linearized plasmid pCTG coding for 97 consecutive CUG triplets (26). The (CUG)97 RNA was purified in a uniformly 15N-labelled form essentially as described (5). Purified (CUG)97 was precipitated twice from 0.5 ml aqueous solution using 5 vol of 2% (w/v) LiClO4 in acetone and redissolved in 1 ml water to a concentration of ∼150 µM as estimated by UV absorption spectroscopy. Refolding of (CUG)97 was achieved by adding 6 ml boiling H2O, incubating this ∼20 µM RNA solution at 95°C for 15 min and subsequent cooling to room temperature over 210 min. The RNA was subsequently lyophilized and ∼85 nmol (8.5 mg) was placed into a 70 µl sealing cell that fits inside the MAS rotor (DOTY Scientific Inc., Columbia, USA). A high level of hydration was ensured by allowing the lyophilized RNA sample to equilibrate for 6 days in a sealed chamber with a water-saturated atmosphere. This sample was used for obtaining the first set of MAS ssNMR measurements and later dissolved in 50 µl of H2O at pH 6.8 in order to carry out the experiments with the frozen solution. Also, from the same lyophilized RNA preparation, a 200 µM sample for solution state studies was prepared by dissolving the RNA in 20 mM sodium phosphate buffer pH 6.2 containing 40 mM KCl, 0.2 mM EDTA and 10% (v/v) D2O (4). Denaturing gel electrophoresis in the presence of 7 M urea was performed according to standard procedures (31).
NMR spectroscopy and numerical simulations
MAS ssNMR experiments at a spinning speed of 7000 Hz were carried out at approximately –15°C on a 500 MHz wide-bore Varian UNITYINOVA ssNMR spectrometer equipped with a 5 mm DOTY supersonic triple resonance probe and a waveform generator for pulse shaping. Uniformly 15N-labelled samples of (CUG)97 were used for this investigation. Cross-polarization under Hartmann–Hahn matching conditions was employed and all spectra, unless mentioned otherwise, were collected under high-power 1H decoupling (∼90 kHz). Typical 1H and 15N 90° pulsewidths were 2.8 µs and 7.5 µs, respectively. 15N dipolar chemical shift correlation experiments were carried out with one pulse per rotor period employing the RF pulse sequence shown in Figure 1. The adiabatic inversion pulses ‘cagauss’ (23,32) with 142 µs duration, ω1(max)/2π of ∼28 kHz and a frequency sweep width of 50 kHz, as implemented in the Varian pulse-shaping software ‘Pbox’, were employed. For better preservation of longitudinal magnetizations at long mixing times the adiabatic inversion pulse phases were cycled as per the phasing scheme [p5m4] or [p5p7m4], where p5, p7 and m4 represent the phase cycles {0°, 240°, 240°, 60°, 0°}, {0°, 105°, 300°, 255°, 300°, 105°, 0°} and {0°, 0°, 180°, 180°}, respectively (33,34). Other details are given in the figure captions. Numerical simulations were carried out with the SIMPSON program (35). In addition, a 2D 1H–15N HSQC spectrum of (CUG)97 was recorded on a 600 MHz Varian UNITYINOVA liquid state NMR spectrometer.
RESULTS
Numerical
For obtaining 15N dipolar correlation spectra in uniformly labelled RNA the efficacy of the RF pulse sequence given in Figure 1 was assessed via numerical calculations. To reduce computational time, a simplified four-spin dipolar network as shown in Figure 2 was considered. In these simulations we have monitored, as a function of the dipolar mixing time, the magnitude of longitudinal magnetization transferred to the cytosine nitrogen N3 (CN3) starting with z magnetization on guanine nitrogen N1 (GN1) at the beginning of the mixing period. These simulations were carried out over a range of GN1–CN3 dipolar coupling strengths D of 70–20 Hz, approximately corresponding to an N1–N3 distance range of 2.62–3.97 Å. As noted in our recent studies (36), dipolar recoupling dynamics with adiabatic inversion pulses is not significantly affected by the chemical shift, dipolar tensor orientational parameters or the magnitude of 15N CSAs. Hence, numerical simulations were performed by considering only the typical 15N isotropic chemical shifts of the relevant nuclei. Other relevant parameters employed in the simulations are given in the figure caption. Over an N–N dipolar coupling range of 50–70 Hz (rNN ≈ 2.9–2.6 Å), 5–10% of the GN1 magnetization can be transferred to the spin CN3 employing dipolar mixing periods on the order of 15–20 ms (Fig. 2). An analysis of the recoupling dynamics at longer mixing times would require taking into consideration other N–N dipolar interactions that have been neglected in our simulations. Even with dipolar mixing periods of <20 ms, it is apparent from the simulations (see Fig. 2) that the magnitude of the transferred magnetization is sufficient to lead to cross-peaks of measurable intensities between the hydrogen-bonded nitrogen nuclei.
Experimental
The experimental assessment of the potential of 15N MAS NMR for the study of large RNAs was performed on a uniformly 15N-labelled sample of (CUG)97 (Fig. 3A). The purity and fold of the (CUG)97 were ascertained by gel electrophoresis (Fig. 3B) and by recording in the solution state a 1H–15N HSQC spectrum of the RNA sample. The RNA sample employed in the solution state NMR experiments had a concentration of 200 µM and was taken from the same preparation as used for the ssNMR experiments. Purified (CUG)97 gives rise to only two cross-peaks in the solution state 2D correlation experiment (Fig. 3C). The 15N resonance at 150 p.p.m. corresponds to the imino group of guanine and the resonance at 158 p.p.m. to the imino group of uridine, respectively. The observation of the two imino signals indicates slow exchange for the respective protons and hence the involvement of those groups in hydrogen bonds. This in turn indicates that the (CUG)97 adopts double-stranded conformation through base pairing of its self-complementary sequence, as concluded earlier from biochemical studies (25,26). The repeating conformational unit of (CUG)97 contains a mismatched UU base pair (37,38) flanked by canonical Watson–Crick pairs (Fig. 3A).
The MAS 15N dipolar correlation spectra of the (CUG)97 RNA sample were obtained with the RF pulse sequence shown in Figure 1. In these experiments a short cross-polarization (CP) contact time was used to selectively enhance 15N signals arising from the imino and amino nitrogens. While the usage of CP contact times of the order of milliseconds generally leads to sensitivity enhancement of all the nitrogen sites, the short contact time used here permits suppression of signals from unprotonated nitrogens and reduces spectral overlap. Figure 4 shows the 1D CPMAS 15N spectra of the RNA obtained employing CP contact times of 3.0 ms (Fig. 4A) and 175 µs (Fig. 4B). While all expected nitrogen signals are observed in the spectrum (Fig. 4A), those nitrogens that are proton attached are seen preferentially using a shorter cross-polarization time. This allows the imino and amino nitrogens to be distinguished from the other resonances. The indicated assignments are based on 15N chemical shifts typically seen in solution state NMR (7) and are consistent with the 2D 1H–15N (Fig. 3C) and 2D 15N–15N (Fig. 5) correlation spectra. The 15N dipolar correlation spectrum given in Figure 5 was obtained with the lyophylized and rehydrated RNA sample employing a dipolar mixing period of 20 ms. The canonical and reverse Watson–Crick GC base-pairing schemes are also indicated in Figure 5. To reduce spectral data acquisition time, the amino nitrogen resonances are folded in the ω1 dimension. The short CP contact time (175 µs) employed leads to the asymmetric cross-peak distribution in the 2D spectrum. Starting with the imino and amino nitrogens, all correlation peaks arising from short-range N–N dipolar interactions are visible. The cross-peak between the imino nitrogen of guanine and the N3 nitrogen of cytosine can be clearly observed in the 2D spectrum. However, cross-peaks between GN1–GN9, GN1–GN7 and GN1–CN4 arising from long-range dipolar interactions were not observed. Besides the spectrum shown in Figure 5, we have also collected dipolar correlation data employing a shorter dipolar mixing time of 14.28 ms on the same RNA sample after dissolving and refreezing. Again the GC cross-peak was clearly detected (Fig. 6). It is noteworthy that both the lyophilized and rehydrated sample as well as the frozen sample generated spectra of similar quality.
DISCUSSION
In a solution state HNN-COSY experiment, the identity of the acceptor nitrogen involved in NH…N hydrogen bonds is generally inferred either from the chemical shift of the acceptor nitrogen and/or via additional two-bond correlation experiments (12). On the other hand, in dipolar coupling-based broadband ssNMR the assignment of the acceptor nitrogen can be achieved by utilizing the presence of additional correlation peaks in the spectral data. Here, the presence of a cross-peak between the cytosine amino nitrogen and CN3 facilitates the identification of the acceptor nitrogen in the hydrogen bond involving the guanine imino donor 15N nucleus. For (CUG)97 RNA, the correlation peak between GN1 and CN3 suggests the presence of only a canonical GC Watson–Crick base-pairing scheme, as predicted by previous studies (25,26). A reverse GC Watson–Crick base-pairing scheme should lead to a correlation peak between the amino nitrogen of guanine and CN3, and such a correlation is not observed here. Although the intensity of the cross-peak between the donor and acceptor nitrogen nuclei in the GC base pair is not very high as expected from numerical simulations, it is sufficiently large to be clearly detected in the 2D dipolar correlation spectrum of uniformly 15N-labelled (CUG)97 where the GC cross-peak could arise in principle via either interstrand or intrastrand dipolar interactions. Molecular modelling studies predict an intrastrand GN1–CN3 distance of ∼3.5 Å, corresponding to a dipolar coupling strength of <30 Hz. From numerical simulations, the contribution to the observed GC cross-peak intensity is much higher from interstrand than from intrastrand GC dipolar interactions. Also, for the mixing time employed, no intrabase cross-peaks between the nuclei GN1–GN7 (rNN ≈ 3.62 Å) and GN1–CN4 (rNN ≈ 3.68 Å) are detectable. Thus it is safe to conclude that the GC cross-peak in the 2D spectrum shown in Figure 5 reflects interstrand dipolar interactions. If required, additional MAS NMR experiments, such as the measurement of 15N–1H distances (39–42), can further validate the conclusions reached via 15N dipolar correlation spectroscopy. In fact, information on all of the distances between the nuclei in the dipolar network 15N–1H…15N would enable a full characterization of the hydrogen bond.
Recent studies carried out on simple model systems containing a pair of dipolar coupled 15N nuclei suggest that it should be feasible to extract internuclear distances from adiabatic inversion pulse driven magnetization exchange experiments (36). Unlike the difficulties in obtaining long-range 13C–13C distances in uniformly 13C-labelled samples (11), the measurement of 15N–15N distances in uniformly 15N-labelled biological systems does not pose any problems owing to the absence of dipolar truncation effects (43,44). However, precise measurement of 15N–15N internuclear distances would require consideration of the effects of chemical shift anisotropy, chemical shift and dipolar tensor orientations as well as all relevant dipolar spin interactions and various relaxation processes. Additionally, quantitative distance measurements also require the usage of much lower temperatures for freezing local and global motions that scale down the strength of the dipolar interactions between nuclei significantly. Owing to hardware limitations, the experimental measurements presented here have been carried out only at a temperature of approximately –15°C. Precise measurement of 15N–15N distances would require an analysis of the initial cross-peak intensity build-up curves. However, for resonance assignment studies and for obtaining approximate internuclear distance constraints, as needed in distance geometry based structure calculations, such rigorous analysis of cross-peak intensity build-up curves is not necessary.
In conclusion, the results presented here demonstrate for the first time that 15N MAS dipolar correlation experiments in uniformly 15N-labelled RNA can be employed for probing the spatial proximity of nitrogen nuclei and hence for the possible presence of NH…N hydrogen bonds between complementary bases. The use of 15N MAS ssNMR could enable rapid assessment of the base-paired regions in large RNAs, including tertiary interactions. However, this may require segment-, base- or strand-specific labelling strategies (45–49) to avoid spectral overlaps and the adoption of techniques designed to obtain improved signal-to-noise ratios (e.g. inverse detection) (50). In addition to the 15N dipolar recoupling measurements reported here, 13C dipolar recoupling experiments with 13C labelled samples can be employed for the characterization of non-canonical base pairs which do not contain NH…N hydrogen bonds but are frequently involved in the intricate structures of biologically active RNA molecules. The encouraging results presented here suggest that it should be possible to structurally characterize the dsCUG RNA in more detail via MAS NMR, including its interaction with the muscleblind proteins. This will help to gain insight into the molecular basis of myotonic dystrophy.
Acknowledgments
ACKNOWLEDGEMENTS
The IMB is a member of the Science Association ‘Gottfried Wilhelm Leibniz’ (WGL) and is financially supported by the Federal Government of Germany and the State of Thuringia.
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