Abstract
Higher sensitivity of NMR spectrometers and novel isotopic labeling schemes have ushered the development of rapid data acquisition methodologies, improving the time resolution with which NMR data can be acquired. For nucleic acids, longitudinal relaxation optimization in conjunction with Ernst angle excitation (SOFAST-HMQC) for imino protons, in addition to rendering rapid pulsing, has been demonstrated to yield significant improvements in sensitivity per unit time. Extending such methodology to other spins offers a viable prospect to measure additional chemical shifts, thereby broadening their utilization for various applications. Here, we introduce the 2D [13C,1H] aromatic SOFAST-HMQC that results in overall sensitivity gain of 1.4–1.7 fold relative to the conventional HMQC and can also be extended to yield long-range heteronuclear chemical shifts such as the adenine imino nitrogens N1, N3, N7 and N9. The applications of these experiments range from monitoring real-time biochemical processes, drug/ligand screening, and to collecting data at very low sample concentration and/or in cases where isotopic enrichment cannot be achieved.
Keywords: Longitudinal relaxation optimization, Ernst angle, SOFAST-HMQC, nucleic acids, fast NMR
The inherent insensitivity of NMR spectroscopy has been significantly alleviated with the widespread adoption of cryogenic probes (Kovacs et al. 2005) along with novel and economical isotope labeling schemes. This resulted in acquiring data in the sampling-limited regime (Szyperski et al. 2002) where the time required for sampling the indirect evolution points, rather than signal averaging, dictates the total measurement time and thus motivated development of methodology aimed at fast data acquisition (Atreya and Szyperski 2005; Felli and Brutscher 2009; Mishkovsky and Frydman 2009; Rennella and Brutscher 2013). NMR data can be rapidly acquired by reducing the time required to acquire indirect evolution points, such as in projection NMR spectroscopy (Szyperski et al. 1993; Kim and Szyperski 2003; Kupče and Freeman 2004; Eghbalnia et al. 2005; Hiller et al. 2005; Atreya et al. 2012; Krähenbühl et al. 2012), sparse sampling with non-FT based data processing (Brüschweiler and Zhang 2004; Rovnyak et al. 2004; Maciejewski et al. 2011; Mobli et al. 2012) and Hadamard NMR spectroscopy (Kupče and Freeman 2003). Alternatively, it can be achieved by reducing/eliminating the inter-scan delay between transients, as in spatially selective approaches (Frydman et al. 2002; Parish and Szyperski 2008; Giraud et al. 2010; Vega-Vazquez et al. 2010; Sathyamoorthy et al. 2014) and/or with Longitudinal relaxation (L-)optimization (Pervushin et al. 2002; Deschamps and Campbell 2006).
L-optimization offers an attractive rapid pulsing approach and has been extensively applied in protein NMR studies. It relies on selective excitation of the spins of interest, with the unperturbed spins acting as a “relaxation sink” via dipolar interactions or chemical exchange with solvent protons. This results in an effective reduction of T1 relaxation times of the excited spins, thereby permitting the use of smaller inter-scan delays. Combining L-optimization of protons with Ernst optimum flip angle excitation (Ernst et al. 1987) for HMQC (Ross et al. 1997) resulted in the band-Selective Optimized Flip Angle Short Transient (SOFAST-) HMQC (Schanda and Brutscher 2005) experiments that yield significant improvements in sensitivity.
Despite lower proton density relative to proteins (Farjon et al. 2009), SOFAST-HMQC type experiments have successfully been applied to nucleic acids by targeting the isolated and downfield shifted imino protons yielding 2-fold sensitivity boosts (Farjon et al. 2009). This includes L-optimized Transverse Relaxation Optimized SpectrscopY (TROSY) for studying large nucleic acids and HNN-COSY experiment that help in establishing the H-bonding partners in nucleic acids. In addition, 2D ultraSOFAST NMR, which combines SOFAST-HMQC with spatially selective single scan approach (Tal and Frydman 2010), made it possible to collect 2D [15N, 1H] imino HMQC spectra every few seconds and thereby monitor the real-time folding of the 71 nucleotide long add adenine-sensing riboswitch aptamer domain (Lee et al. 2010).
Imino 1H/15N chemical shifts, although abundant in information regarding base-pairing and secondary structure, are limited to only two out of the four bases and available only in cases where the imino proton is hydrogen-bonded and protected from solvent exchange such as in G-C/U/T and A-U/T base-pairs. Imino chemical shift data is often unavailable for non-canonical motifs, such as bulges, internal and apical loops, and many non-canonical base-pairs. These motifs play essential architectural roles defining global RNA 3D structure and often form the key sites involved in binding to proteins and ligands (Gallego and Varani 2001; Schwalbe et al. 2007; Dethoff et al. 2012; Reining et al. 2013). The non-exchangeable aromatic protons (H2, H6 and H8) and their directly bonded carbons (C2, C6, and C8) make it possible to more broadly access nucleobase chemical shift information in canonical and non-canonical residues. In addition, the nucleobase carbon (C2, C5, C6, and C8) and proton (H2, H5, H6, and H8) chemical shifts are increasingly being used in defining the 3D structures of RNA and DNA (Wijmenga et al. 1997; Cromsigt et al. 2001; Xu and Case 2001; Barton et al. 2013; Frank et al. 2013; Frank et al. 2013; Sahakyan and Vendruscolo 2013; Werf et al. 2013; Sripakdeevong et al. 2014). Having the ability to acquire these chemical shift data rapidly would be important for applications ranging from nucleic acid targeted ligand screening to time-resolved NMR studies of biochemical processes such as catalysis (Buck et al. 2009) and folding (Wenter et al. 2005; Buck et al. 2007; Manoharan et al. 2009; Lee et al. 2010; Lieblein et al. 2012; Li et al. 2014). In addition, L-optimization for aromatic protons has been successfully implemented to measure residual dipolar couplings for nucleic acids (Ying et al. 2011). This study demonstrated the apparent reduction of aromatic proton T1, owing to the fact that magnetization from water protons is transferred rapidly to the non-exchangeable aromatic protons via the exchangeable protons (amino, imino and hydroxyl), resulting in shorter inter-scan delays. This study also showed the advantage of using H2O against D2O as solvent due to favorable viscosity properties.
With the foundation for L-optimization of aromatic proton laid earlier (Ying et al. 2011), in this study we present the implementation of 2D [13C, 1H] aromatic SOFAST-HMQC and additionally, as a proof of concept, we demonstrate that the SOFAST-HMQC methodology can be extended to acquire other nucleobase 13C/15N chemical shifts. Application of these experiments are presented for a (a) 29 nucleotide 100% uniformly 13C/15N labeled transactivation response element RNA (TAR) from HIV type-1 (5′-GGCAGAUCUGAGCCUGGGAGCUCUCUGCC-3′), (b) 76 nucleotide in vitro transcribed 100% uniformly 13C/15N labeled phenylalanine transfer RNA (tRNAPhe) from organism Saccharomyces cerevisiae (primary sequence in supplementary information), (c) 12 base-pair natural isotopic abundance palindromic Dickerson dodecamer duplex DNA (DD-dsDNA, 5′-CGCGAATTCGCG -3′) and (d) 12 base-pair 100% uniformly 13C/15N labeled G, T DD-dsDNA engineered with a G-T mispair (DD-GT-dsDNA, 5′-CGCGAATTTGCG-3′, G-T mispair is underlined). See supplementary information for more details. All experiments are implemented for samples in 90/10% H2O/D2O to take advantage of the exchangeable protons that act as T1 sinks for the aromatic spins (Ying et al. 2011).
The pulse sequence for the 2D [13C, 1H] aromatic SOFAST-HMQC is shown in Fig 1. The aromatic 1H selective excitation and refocusing is achieved using PC9 (Kupče and Freeman 1994) and REBURP (Geen and Freeman 1991) pulses, respectively, as described previously (Schanda et al. 2005). The selective pulses are centered at 8.0 ppm encompassing a bandwidth of ±1.5 ppm, with the imino, hydroxyl, amino and aliphatic 1H spins acting as T1 relaxation sinks. For uniformly 13C/15N labeled samples homonuclear 13C-13C decoupling during t1-evolution is achieved by employing a band-selective WURST-2 (Kupče and Freeman 1996; Dayie 2005) pulse (ω1 ~1350 Hz). The Ernst flip angle for excitation of aromatic protons (120°) was obtained by optimizing for maximum signal intensity at short inter-scan delays (Fig S1) motivated towards rapid pulsing as described previously (Schanda et al. 2005). All experiments were performed at 25 °C for TAR, DD-dsDNA and DD-GT-dsDNA and at 37 °C for tRNAPhe using a Varian INOVA 800 MHz spectrometer equipped with a cryogenic 1H[13C,15N] probe (Table S1). NMR data were processed using the software NMRPipe (Delaglio et al. 1995) and analyzed using the program SPARKY (T. D. Goddard and D. G. Kneller, SPARKY 3, University of California, San Francisco).
To assess the sensitivity gain offered by the aromatic SOFAST-HMQC experiment, the average signal-to-noise ratio per unit time (SNt) was measured as a function of the inter-scan delay (sum of recycle delay d1 and acquisition time t2) and compared with conventional HMQC experiment (Figs 1C, 1D and 1E). SNt is defined as the ratio of signal-to-noise ratio (SN) to the square root of measurement time, with the noise measured from representative 2D regions of the spectrum. The maximum SNt occurs at inter-scan delay of 300–450 ms for aromatic protons H2/H6/H8 achieving an average 1.4–1.7 fold sensitivity gain for nucleic acids in comparison to conventional HMQC. A similar gain observed for 26 kDa tRNAPhe indicates that the L-optimization strategy is an effective approach for rapid data acquisition for larger molecular weight systems as well. The H2 spins in particular showed a slightly lower average gain of 1.25–1.4 times as they are isolated from the remaining spins for effective longitudinal relaxation. While imino 1H spins have been reported to show the maximum SNt at an inter-scan delay of 200–300 ms (Farjon et al. 2009), the observed difference for the aromatic protons could arise as relatively less proximal T1 sinks are available and also that the H1′ aliphatic and H5 aromatic protons, contributors towards the longitudinal relaxation of aromatic protons, also get partially excited resulting in the need for a moderately longer inter-scan delay. It is important to note that the implementation of SOFAST-HMQC for H1′ sugar protons resulted in a much lower sensitivity boost (5–10%) due to the required water suppression which also excites the remaining aliphatic protons (H3′, H4′ and H5′/H5″) affecting the available T1 sinks, and therefore is not discussed further here.
In order to illustrate the application of the aromatic SOFAST-HMQC experiment in rapid data acquisition, Figs 2A, 2C and 2D show the high resolution 2D spectra of 1 mM uniformly 13C/15N labeled TAR (SN ~ 20), 0.5 mM uniformly 13C/15N labeled tRNAPhe (SN ~9) and ~3.5 mM palindromic DD-dsDNA (SN ~ 7) recorded at natural abundance acquired with a total measurement time of 19 seconds, 32 seconds and 2.5 minutes, respectively (Table S1). Comparison of rapidly acquired SOFAST-HMQC data with conventional HMQC spectra reveals that no artifacts are generated in the implemented pulse sequence (Figs S2 A, B). With the recent developments in sparse sampling methodologies (Hyberts et al. 2012; Mayzel et al. 2014), it should be possible to further reduce the total measurement time required to acquire the 2D data (Figs S2 A, C–E). The aromatic SOFAST-HMQC experiment therefore paves the way for carrying out time-resolved NMR studies of nucleic acids with a much larger number of chemical shift probes on all four nucleotide bases.
The sensitivity gain offered by L-optimization also greatly enables NMR-based drug/ligand screening against nucleic acid targets. Here, the ability to rapidly measure 2D [13C, 1H] aromatic HMQC in addition to imino 2D [15N, 1H] HMQC provides a more robust approach for monitoring ligand binding, as well as for carrying out detailed chemical shift mapping to characterize the binding site and for evaluating binding modes predicted using computational docking (Stelzer et al. 2011). This implementation also makes it possible to acquire 2D data at much lower RNA concentrations, which is often necessary due to poor solubility of tested ligands in aqueous solvents. Screening ligand-RNA binding by NMR is attractive not only due to the rich information that it can provide regarding binding affinity and binding mode but also because small molecules often absorb light making it difficult to assess binding using optical methods such as fluorescence. To demonstrate the applicability of the aromatic SOFAST-HMQC towards binding studies, Fig 2B shows the high-resolution 2D data of a 10 μM sample of uniformly 13C/15N labeled TAR with and without capreomycin, a small molecule hit obtained from a recent computational screening of TAR, acquired within a total measurement time of 6 hours per 2D spectra (Table S1) which would otherwise require ~18 hours with conventional HMQC.
The sensitivity gain achieved with the selective excitation of imino/aromatic 1H can be extended to achieve multiple bond correlations that can be used to measure other 13C/15N chemical shifts in the nucleobase. As a proof of concept, we implemented two-bond 15N-1H and three-bond 13C-1H long-range correlation experiments. The compromised delays (d2) for the coherence transfer in these experiments were optimized to obtain maximum signal intensity accounting for transverse relaxation losses that occur during the generation of two-spin coherence. As the sensitivity boost due to L-optimization is determined by the excited spin, the SNt gain for the extended experiments, in reference with their respective conventional congener, scale according to their corresponding SOFAST-HMQC experiment. Since both these experiments eliminate the necessity of the intermediate spin to be isotopically enriched, they become readily amenable towards acquiring NMR data using natural abundance samples. This can be particularly important when working with unconventional chemically modified nucleobases that cannot readily be isotopically enriched (Hansen et al. 2009).
The two-bond [15N, 1H] SOFAST-HMQC experiment (Fig 1B) correlates aromatic H2 and H8 protons with N1/N3 and N7/N9, respectively, of the purine bases that are conventionally measured using an HSQC experiment (Sklenár et al. 1994; Fürtig et al. 2003). The application of this experiment is demonstrated for a 1 mM uniformly 13C/15N labeled TAR sample (Fig 3A) yielding the long range 2D [15N, 1H] spectra (SN ~16) acquired with a measurement time of 20 minutes (Table S1). The second experiment correlates the imino proton of G (H1) and T/U (H3) to C5 via the 3JCH (Fig 1A with the 15N 180° refocusing pulse at 235 ppm to refocus C5-N7 scalar coupling), which is conventionally acquired with a 2D H(NC)C experiment (Fürtig et al. 2003). The C5 chemical shift could be a valuable probe for studying structure and dynamics. As an example, the G-T wobble mispair of DD-GT-dsDNA displays a downfield shift of the T(C5), while the G(C5) a moderate upfield shift relative to canonical Watson-Crick A-T and G-C base-pairs in DD-dsDNA (Fig 3B). The long-range [13C, 1H] data for the chemical shift comparison was acquired for a 3.0 mM uniformly 13C/15N labeled sample for DD-GT-dsDNA (SN ~20) in 1 minute and for ~3.5 mM natural abundance DD-dsDNA (SN ~6) in 13 hours. As predicted, an average S/Nt gain of 1.6 and 1.9 were obtained for the long range [15N, 1H] and [13C, 1H] SOFAST-HMQC in comparison to the conventional experiment.
In conclusion, we have extended prior studies showing sensitivity gains afforded by L-optimization in measurement of aromatic 13C-1H RDCs to demonstrate applications of SOFAST-HMQC geared towards recording 2D heteronuclear data and real-time applications, providing 1.4–1.7 fold sensitivity gains. We have also demonstrated that L-optimization methodology can be extended to acquire long-range heteronuclear chemical shift data that are otherwise less sensitive. Additional studies are needed to quantitatively compare the sensitivity boost yielded by SOFAST-HMQC versus BEST-TROSY (Ying et al. 2011) at various magnetic field strengths, as the sensitivity enhancements afforded by these experiments would vary upon motions experienced by the spin and the optimal experiment will also be dependent on the magnetic field strength. The L-optimized aromatic 13C-1H SOFAST-HMQC and BEST-TROSY (Ying et al. 2011) experiments provide a effective approach for acquiring multidimensional NMR data rapidly and the sensitivity boost will prove valuable in concentration limited conditions, such as ligand screening, in vivo applications (Hänsel et al. 2009) and studies involving chemically modified nucleic acids that are challenging to isotopically enrich.
Supplementary Material
Acknowledgments
This work was supported by the US National Institute for General Medical Sciences (GM103297), National Institutes of Health (NIAID R01AI066975) and an Agilent Thought Leader Award. We thank Dr. Sven G. Hyberts for his discussions on sparse sampling approaches and reconstructing the reduced 2D NMR dataset. We thank Dr. Vivekanandan Subramanian and the Duke NMR center for maintenance and support of the NMR facilities.
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