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. Author manuscript; available in PMC: 2011 Aug 1.
Published in final edited form as: J Biomol NMR. 2010 Jun 17;47(4):271–282. doi: 10.1007/s10858-010-9430-z

Nitrogen-detected CAN and CON experiments as alternative experiments for main chain NMR resonance assignments

Koh Takeuchi 1,2, Gregory Heffron 3, Zhen-Yu J Sun 4, Dominique P Frueh 5,6, Gerhard Wagner 7,
PMCID: PMC2946331  NIHMSID: NIHMS223248  PMID: 20556482

Abstract

Heteronuclear direct-detection experiments, which utilize the slower relaxation properties of low γ nuclei, such as 13C have recently been proposed for sequence-specific assignment and structural analyses of large, unstructured, and/or paramagnetic proteins. Here we present two novel 15N direct-detection experiments. The CAN experiment sequentially connects amide 15N resonances using 13Cα chemical shift matching, and the CON experiment connects the preceding 13C′ nuclei. When starting from the same carbon polarization, the intensities of nitrogen signals detected in the CAN or CON experiments would be expected four times lower than those of carbon resonances observed in the corresponding 13C-detecting experiment, NCA-DIPAP or NCO-IPAP (Bermel et al. 2006b; Takeuchi et al. 2008). However, the disadvantage due to the lower γ is counteracted by the slower 15N transverse relaxation during detection, the possibility for more efficient decoupling in both dimensions, and relaxation optimized properties of the pulse sequences. As a result, the median S/N in the 15N observe CAN experiment is 16% higher than in the 13C observe NCA-DIPAP experiment. In addition, significantly higher sensitivity was observed for those residues that are hard to detect in the NCA-DIPAP experiment, such as Gly, Ser and residues with high-field Cα resonances. Both CAN and CON experiments are able to detect Pro resonances that would not be observed in conventional proton-detected experiments. In addition, those experiments are free from problems of incomplete deuterium-to-proton back exchange in amide positions of perdeuterated proteins expressed in D2O. Thus, these features and the superior resolution of 15N-detected experiments provide an attractive alternative for main chain assignments. The experiments are demonstrated with the small model protein GB1 at conditions simulating a 150 kDa protein, and the 52 kDa glutathione S-transferase dimer, GST.

Keywords: 15N direct detection, CAN, CON, HSQC, Nuclear magnetic resonance (NMR), Resonance assignment

Introduction

Heteronuclear direct-detection experiments, which take advantage of the slower relaxation properties of nuclei with a lower gyromagnetic ratio, γ, have recently been considered as tools for extending the limits of NMR in structural and functional studies of proteins. A variety of pulse sequences have been developed for resonance assignments and structure analyses of proteins using 13C-direct detection (Serber et al. 2001; Arnesano et al. 2005; Lee et al. 2005; Bermel et al. 2003, 2006a, b; Takeuchi et al. 2008; Felli and Brutscher 2009; Hsu et al. 2009; Takeuchi et al. 2010). However, direct detection of 15N, which has the lowest γ within nuclei located in the protein backbone, has not been extensively exploited so far. In the past, one-dimensional 15N-direct detection experiments have been used to obtain structure information near active sites of paramagnetic proteins (Vance et al. 1997; Machonkin et al. 2004; Balayssac et al. 2006; John et al. 2006; Lin et al. 2009), but multidimensional experiments have not been developed. In addition, it was shown that the slow 15N relaxation results in ultra high-resolution spectra, which is also quite attractive for diamagnetic proteins (Vasos et al. 2006).

Experiments that focus on 15N detection have great promise for characterization of proline-rich sequences that are difficult to study with 1H-detected experiments lacking the amide protons of the imino acids. Sequences of many prolines are often found in phosphorylation sites of regulatory domains of proteins that function in signaling pathways, in transcription factors or translational regulators. Little is known about structural changes due to phosphorylation.

Here, we present two 15N direct-detection HSQC-type experiments. The CAN experiment provides sequential connections between 15N resonances using 13Cα chemical shift matching (Fig. 1a). It correlates the amide nitrogen’s of residue i, 15Ni, with those of the 13Cα spins in both the same residue Ciα13 and the proceeding one Ci1α13, providing an alternative way for establishing assignment of main chain resonances using heteronuclear detection. This can be complemented with a 15N detected CON experiment, which correlates the amide nitrogen’s of residue i, 15Ni, to the 13C′ spin in the proceeding residue 13C′i-1 The combination of the two experiments yields assignment of backbone heavy atoms (15N, 13Cα, 13C′) including prolines. The feasibility of the experiments is demonstrated with the B1 domain of protein G at conditions simulating the tumbling of a 150 kDa protein, and the 52 kDa glutathione S-transferase dimer, GST.

Fig. 1.

Fig. 1

Design and pulse scheme of the CAN experiment optimized for uniformly 2H15N13C-labeled samples. a Illustration of the coherences correlated in the CAN experiment with a schematic representation of the 2D CAN spectrum. The nuclei involved in this experiment are colored in red. Arrows indicate the magnetic transfer pathways in the CAN experiment. b and c Pulse program of b the nitrogen-detected CAN experiment and c the carbon-detected 2D NCA-DIPAP experiment (Bermel et al. 2006b). Narrow and wide black bars indicate nitrogen π/2 and π pulses, respectively. Narrow and wide semi elliptical shapes on the carbon channel represent π/2 and π Gaussian cascades pulses selective for the frequencies of aliphatic carbon nuclei (Q5/256 and Q3/205 µs, respectively) (Ems-ley and Bodenhausen 1992). Wider Gaussian shapes in gray indicate Cα selective Gaussian cascades pulses (Q3/1,557 µs). In the CAN experiment, carbon decoupling during the nitrogen-detection period was achieved by using WURST broadband adiabatic inversion (Kupče and Freeman 1995; Kupče et al. 1996). Broadband adiabatic inversion was also used for the carbon decoupling during nitrogen evolution in the NCA-DIPAP experiment. All pulses are applied along the x-axis unless otherwise indicated. The short delay ε = 5 µs compensates for the non-zero value of the initial t1 increment. The phase cycle employed was ϕ1 = (x, −x), ϕrec = (x, −x) for the CAN experiment. For the NCA experiment ϕ1 = (x, −x), ϕDIPAP = (x, x, x, x, −x, −x, −x, −x) for IPIP and APAP, (−y, −y, −y, −y, y, y, y, y) for APIP, and (y, y, y, y, −y, −y, −y, −y) for IPAP, ϕrec = (x, −x, −x, x, −x, x, x, −x). Phase sensitive spectra in the indirect dimension are obtained by incrementing the phases ϕ1 in a States-TPPI manner (Marion et al. 1989). The recycling delay is optimized based on the longitudinal relaxation rate of the excited nucleus. The sine-shaped pulsed field gradients were applied along the z-axis for 1.0 ms with maximum intensities of G1 = 10 G/cm for the CAN experiment and G1 = 15 G/cm and G2 = 25 G/cm for the NCA-DIPAP experiment. Deuterium and nitrogen decoupling are achieved by using WALTZ16 (1 kHz) (Shaka et al. 1983) and GARP (Shaka et al. 1985; 1.5 kHz), respectively

Materials and methods

All chemicals were purchased from Sigma (St. Louis, MO) unless otherwise noted. All stable-isotope-labeled materials were acquired from Cambridge Isotope laboratories (Cambridge, MA).

Expression and purification of the B domain of protein G (GB1)

The gene for His6-tagged GB1, consisting of 64 amino acid residues, was cloned into the pET9d vector (Novagen, San Diego, CA) as previously described (Frueh et al. 2005). GB1 was expressed in commercially available BL21 (DE3) E. coli cells (Novagen) at 37°C and protein expression was induced for 6 h at the same temperature. For uniformly 2H15N13C labeled samples, the cells were cultured in 2H, 15N, 13C M9 media containing 8.5 g/l Na2HPO4, 3 g/l KH2PO4, 0.5 g/l NaCl, 2 mM MgCl2, 0.1 mM CaCl2 in D2O, which was supplemented with 2 g/l 2H13C glucose and 1 g/l of 15NH4Cl. The protein was purified with Ni–NTA affinity chromatography as previously described (Frueh et al. 2005).

Expression and purification of the glutathione S-transferase

The commercially available pGEX-4T-1 vector (GE Healthcare Biosciences, Pittsburgh, PA) was used to express Glutathione S-Transferase (GST) protein. The pGEX-4T-1 vector expresses the 26-kDa GST protein with a 19 amino-acid residue C-terminal flexible tail, which contains a thrombin cleavage site. Uniformly 2H15N13C-labeled GST was expressed in commercially available BL21 (DE3) E. coli cells (Novagen) at 25°C and protein expression was induced for 12 h. Culture media for the expression were the same as for uniformly 2H15N13C-labeled GB1. The protein was purified with Glutathione Sepharose affinity chromatography (GE Healthcare Biosciences) following manufacturer’s recommendation. The C-terminal flexible tail was cleaved by Thrombin and the resultant 226 amino-acids GST protein was purified by Superdex-75 gel filtration column as a 52 kDa homodimer.

NMR experiments for GB1

NMR spectra were recorded on a Bruker (Billerica, MA) Avance 500 spectrometer equipped with a triple-resonance cryogenic probe (TXO) equipped with the carbon/nitrogen inner coil and cryogenic preamps, designed for heteronuclear-detection experiments. Spectra of the uniformly 2H15N13C-labeled GB1 sample (4 mM) were recorded at 8°C in buffer containing 10 mM sodium phosphate (pH 6.8), 100 mM NaCl, 20% w/v deuterated glycerol in D2O with 3 mM Gd (DTPA-BMA). The molecular tumbling of GB1 under those conditions corresponds to a 150 kDa protein at 25°C (Takeuchi et al. 2008). The 2D CAN experiments were recorded with spectral widths of 1,721 (15N, direct) and 3,769 Hz (13C, indirect). The two-dimensional NCA experiments, with a double IPAP (DIPAP) scheme (Bermel et al. 2006b), were recorded with spectral widths of 3,754 (13C, direct) and 1,722 Hz (15N, indirect). In both spectra, 13C and 15N frequencies were centered at 55 and 117 ppm, respectively. For the 2D CAN experiment, 1,232 (15N, direct dimension) and 100 (13C, indirect dimension) complex data points were recorded. In the 2D NCA-DIPAP experiment, 1,360 (13C, direct) and 100 (15N, indirect) complex data points were recorded. For each increment, 160 scans were accumulated. For reconstructing the 13C-decoupled data from the DIPAP scheme, 53.8 Hz 1JCαCβ and 34.5 Hz 1JCαC′ couplings were used, which are the default values in TOP-SPIN (Bruker; Billerica, MA). A cosine-apodization function was applied for each FID and zero filled to 2,048 data points in the direct dimension before Fourier transformation. For the indirect dimensions, a cosine-apodization function and zero fill to 256 data points were applied. The digital resolution in the direct and indirect dimensions after Fourier transformation was 0.87 and 15 Hz for the 2D CAN experiment and 1.8 and 6.7 Hz for the 2D NCA experiment. The recycling delay was set to 1.6 s for both experiments. All spectra were processed with TOPSPIN or XWINNMR (Bruker; Billerica, MA) and analyzed with the program Sparky (Goddard and Kneller 2004).

NMR experiments for GST

NMR spectra were recorded on the same instrument as the GB1 sample. Spectra of the uniformly 2H15N13C-labeled GST dimer (0.75 mM, 1.5 mM as monomer concentration) were recorded at 25°C in a buffer containing 10 mM sodium phosphate (pH 6.8), 100 mM NaCl, and 4 mM Gd (DTPA-BMA) in D2O. The 2D CAN experiments were recorded with spectral widths of 2,541 (15N, direct) and 3,769 Hz (13C, indirect) with the center frequencies at 122 ppm (15N)and 55 ppm (13C), respectively. 512 (direct) and 105 (indirect) complex data points were recorded. For each increment, 768 scans were accumulated. The 2D CON experiment was recorded with spectral widths of 2,541 (15N, direct) and 2,513 Hz (13C, indirect) with the center frequencies at 122 ppm (15N) and 176 ppm (13C), respectively. 512 (direct) and 41 (indirect) complexed data points were recorded with Tc =8.5 ms and Δ = 14.5 ms. For each increment, 672 scans were accumulated. The 3D TROSY-HNCA experiment was recorded after exchanging the media from D2O to H2O. The sample was left at room temperature for 4 days to promote D to H exchange in amide positions. The experiment was recorded with a spectral width of 9,615 (direct) × 2,675 (indirect, N) × 4,829 Hz (indirect, 13C) with the center frequencies at 4.7 ppm (1H), 120 ppm (15N) and 55 ppm (13C). 512 (direct) × 32 (indirect, N) × 64 (indirect, 13C) complex data points were recorded. For each increment, 24 scans were accumulated. For all GST spectra, a cosine-apodization function was applied for each FID, then zero filled up to 1,024 data points for the direct dimension before Fourier transform. The recycling delay was set to 1.8 s. 2D CAN, CON, and 3D TROSY-HNCA were recorded for 3.5, 1.5 and 3 days, respectively. All spectra were processed with TOPSPIN or XWINNMR (Bruker; Billerica, MA) and analyzed with the program Sparky (Goddard and Kneller 2004).

Experimental design

In principle, the CAN nitrogen-detected experiment provides the same correlations as the 13C-detected NCA experiment (Bermel et al. 2006b; Takeuchi et al. 2008). In practice, it may provide additional resolution in the nitrogen dimension and it can be achieved with a simpler pulse sequence resulting in a comparable but more uniform sensitivity. In a rough estimate, the intensity of a signal is proportional to γ of the excited nucleus and to γ3/2 of the detected nucleus (Ernst 1987). Since (γNC)3/2 is 0.25, the intensities of detected 15N nuclei are expected to be four times lower than those of detected 13C nuclei, assuming equal polarization. However, 13Cα direct detection of a uniformly 13C-labeled protein is not straightforward owing to the presence of several strong one-bond 13C–13C couplings that split the signals into multiplets and hence reduce the sensitivity. While the spectral complexity can be avoided by computational deconvolution (Shimba et al. 2003), spin-state selective schemes such as IPAP (Bermel et al. 2007), or a recently developed 13C–12C alternate labeling strategy (Takeuchi et al. 2008), using a 15N direct-detection experiment is a good alternative to avoid this problem. Since 13C evolution is performed in the indirect dimension, evolutions under multiple 13C–13C scalar couplings can easily be refocused by the application of inversion pulses and by using a constant-time periods. In addition, since the height of a detected signal is given by the integral over the envelope of the detected signal, sensitivity losses due to the lower γ of 15N nuclei can at least partially be compensated by the slower transverse relaxation of 15N.

Figure 1b shows the pulse scheme of the CAN nitrogen-detected experiment for a uniformly 2H15N13C-labeled sample. The first INEPT module converts a carbon Ciα single quantum coherence (SQC) into longitudinal two-spin order involving Ciα and either of the two scalar-coupled nitrogen’s (Ni and Ni+1) (b). Concomitantly, the coherence is encoded with the Ciα chemical shift in either a semi-constant time (SCT; Grzesiek and Bax 1993; Logan et al. 1993) or a constant-time fashion, depending on the value of n1max. The density operator, σ, at point b is thus:

σb=cos((ωCiα)t1)(2NziCzαSC(Ji/i1)CC(Ji/i+12)+2Nzi+1CziαSC(Ji/i+12)CC(Ji/i1)+)e2Tc/T2Cα (1)

where only the real component of the indirect FID is depicted. SC(1Ji/i) = sin1JCaiNi2TC) and SC(2Ji/i+1) = sin2JCaiNi+12TC), while C stands for a cosine of the corresponding arguments. T2Cα is the transverse relaxation rate for 13Cα. The initial value of the SCT/CT period 2TC is set to 1/1JCαCβ (28 ms) to minimize losses due to scalar couplings between 13Cα and 13Cβ . The tuning of the delay is also set to minimize evolution into doubly antiphase coherences involving both neighboring nitrogen’s, which would end up in non-detectable double quantum coherence. The evolution in t1 under this coupling is scaled from 1/SWC to 1/SWC —2TC/nmax in the SCT evolution and null in the CT evolution. The following module (c-d) converts nitrogen antiphase SQCs into detectable NH single quantum coherences:

σd=cos((ωCiα)t1)×(NyiSC(Ji/i1)CC(Ji/i+12)SN(Ji/i1)CN(Ji1/i2)eiωi+t2+Nyi+1SC(Ji/i+12)CC(Ji/i1)SN(Ji/i+12)CN(Ji+1/i+11)eiωi+t2+)e2TC/T2Cαe2TN/T2N (2)

where SN(1Ji/i) = sin1JCaiNi2TN) and SN(2Ji/i+1) = sin2JCaiNi+12TN), while C stands for a cosine of the corresponding arguments. T2N is the transverse relaxation rate for 15NH. To maximize the amplitude of both intra-residual and sequential coherences, 2TN is set to 1/4JCαN (~22 ms). Note that sequential coherences reach their maximum at ~70 ms unless T2N is longer than 60 ms, however, the intra-residual correlations are largely suppressed in this case. See Fig. S1 for the evolution of the N single quantum coherences in the CAN experiment. Compared to the NCA double IPAP (NCA-DIPAP) experiment (Fig. 1c), the carbon transverse period of the CAN experiment is significantly shorter (28 ms in CAN compared to 44 ms in NCA-DIPAP). Instead, the CAN experiment has 22 ms of a slower-relaxing nitrogen-transverse period. Thus, in the CAN experiment, signal losses due to relaxation of coherences during the pulse sequence are significantly less than in the NCA-DIPAP experiment. This ameliorates the intrinsic low sensitivity of the CAN experiment.

Instead of the “out-and-stay” type transfer used in this paper, one can also consider a “out-and-back” CAN experiment, which utilizes 15N nuclei for both excitation and detection. Although, the carbon transverse period can be minimized in this way, excitation of the lower γ nuclei decreases the sensitivity further by 2.5-fold. In addition, a longer longitudinal-relaxation time of 15N nuclei would require a longer repetition delay, which would decrease the time-efficiency of the experiment. Thus, the “out-and-stay” sequence that excites higher γ 13C nuclei while taking advantage of the slower transverse relaxation of 15N nuclei for detection is preferred.

Result and discussion

Experiments were recorded on a 4 mM sample of the B1 domain of protein G (GB1) uniformly 2H15N13C-labeled and dissolved in D2O buffer supplemented with 3 mM Gd (DTPA-BMA). To simulate the tumbling of a 150 kDa protein, 20% glycerol was added, and the experiment was recorded at 281 K [for a calibration of the correlation time, see (Takeuchi et al. 2008)]. All experiments were recorded in D2O to minimize the proton-nitrogen and proton-carbon dipole interactions between HN and 15NH or 13Cα. Paramagnetic reagents, such as Gd(DTPA-BMA) or Ni(DO2A) have been used for efficient detection of carbon and proton resonance without significantly accelerating transverse relaxation rates (Eletsky et al. 2003; Cai et al. 2006; Takeuchi et al. 2010). Addition of 3 mM Gd (DTPA-BMA) to the “150 kDa” GB1 sample decreased T1 values for Cα from 4.3 to 1.3 s. The average transverse relaxation times, T2, of 13Cα and 15N estimated from a spin echo experiment was 60 ms for 13Cα and 120 ms for 15N after addition of 3 mM Gd (DTPA-BMA). Since the T2 of 13Cα and 15N were 70 and 140 ms, respectively, before addition of the paramagnetic relaxation agents, only a ~14% decrease in T2 is observed. Thus, it becomes possible to accumulate scans ~3.3 times as fast in presence of the relaxation agent. This, in turn represents a ~1.8 fold gain in S/N.

Figure 2a shows the comparison between the nitrogen-detected 2D CAN spectrum and the carbon-detected 2D NCA-DIPAP spectrum. The measuring time for each spectrum was 15 h. Both spectra are shown with the same scale in Hz for the direct dimension and the same number of points was recorded for the indirect dimension. The acquisition time for the direct dimension was set to approximately 3 × T2 of the detected nuclei of each experiment (358 ms for CAN and 181 ms for NCA-DIPAP), so that a sufficient resolution is achieved without significantly sacrificing sensitivity (Rovnyak et al. 2004). A cosine-apodization function was applied to suppress the artifacts due to time-domain signal truncation, and each FID was zero filled up to 2,048 data points before Fourier transform. The digital resolution for the direct dimensions after Fourier transformation was 0.84 and 1.8 Hz for the CAN and NCA-DIPAP experiment, respectively.

Fig. 2.

Fig. 2

Comparison of the CAN experiment with the NCA-DIPAP experiment. a CAN and b NCA-DIPAP spectra of uniformly 2H15N13C labeled GB1 (4 mM) recorded at conditions simulating a 150 kDa protein (20% glycerol, 281 K). The measurement times for the CAN and NCA-DIPAP experiments were 15 h, each. Both spectra are shown at the same scale in Hz for the direct dimension and the same number of points was recorded for the indirect dimension. Positive and negative correlation peaks are shown in red and cyan, respectively. The Phe52 intra-residual cross peak is enlarged in the insert panels and the corresponding one-dimensional slices along the direct dimension are shown at the top of the 2D spectrum as well as in the enlarged panels. In the 2D CAN spectrum, cyan and orange arrowheads indicate side chain correlations from Asn (Cβ-Nδ) and Gln (Cγ-Nε), respectively. The 2D CAN experiment was recorded with a spectral width of 1,721 (direct) × 3,769 Hz (indirect). The NCA-DIPAP experiment was recorded with a spectral width of 3,754 (direct) × 1,722 Hz (indirect). In both spectra, 13C and 15N frequencies were centered at 55 and 117 ppm, respectively. For the 2D CAN spectrum, 1,232 (direct) × 100 (indirect) complexed data points were recorded with Tc = 14 ms and TN = 11 ms. Whereas 1,360 (direct) × 100 (indirect) complex data points with Tc = 11 ms were recorded for the 2D NCA-DIPAP experiment. For each increment, 160 scans were acquired. For the reconstruction of the decoupled data from the DIPAP scheme, 53.8 Hz 1JCαCβ and 34.5 Hz 1JCαC′ couplings were used. Those are the default values in the software TOPSPIN (Bruker; Billerica, MA). A cosine apodization function was applied to each FID, and the direct dimensions were zero-filled up to 2,048 data points before Fourier transform. c Histogram of the S/N ratios in the CAN versus the NCA-DIPAP experiment. The right most column is for all correlations that showed [S/N(CAN)]/[S/N(NCA-DIPAP)]> 4

Comparison of slices for the same correlation (Phe52 intra-residual cross peak, marked with an asterisk at the top traces of the Fig. 2a and b, and in the enlarged insert panels) demonstrates that the line-width in the direct dimension is much narrower in CAN than in NCA. The line width for the intra-residual correlation peak of Phe52 (without apodization) was 3.4 Hz for CAN and 11 Hz for NCA-DIPAP. Whereas the line width (LW) for nitrogen is almost comparable to the value estimated from T2 (LW = 1/T2 × 1/π = 2.7 Hz), the LW for carbon was much broader than the estimated value (LWRX = 5.3 Hz). This emphasizes the difficulty of achieving a perfect decoupling in the DIPAP scheme. In contrast to the NCA experiment (see below), all intra-residual as well as sequential correlations were observed in the nitrogen-detected CAN experiment (See Fig. S2 for CAN spectrum with assignment procedures). It is interesting to note that the side chain correlations from Asn (Cβ-Nδ) and Gln (Cγ-Nε) were also observed in the 2D CAN spectrum (cyan and orange arrowheads, respectively in Fig. 2a).

In the NCA-DIPAP experiment, one intra-residue (Thr25 Cα-N) and two sequential (Thr25 Cα-Ala26 N, and Ser58 Cα-His59 N) correlations were not observed. This is due to the application of selective Cα pulses in the DIPAP scheme and results from imperfect inversions of high-field Cα resonances. As the Phe52 intra-residual cross peak showed almost the same S/N in the CAN and NCA-DIPAP experiments, it seems that the lower γ of 15N nuclei was fully compensated by the slower 15N transverse relaxation rate, a better decoupling scheme for the detected nuclei, as well as the relaxation-optimized properties of the pulse sequence.

This is clearly summarized in Fig. 2c, as the median of the S/N in the CAN experiment is 16% higher than that of the NCA-DIPAP experiment. The average of the S/N was even higher for the nitrogen-detected experiment ([S/N (CAN)]/[S/N (NCA-DIPAP)] = 1.69) since Gly, Ser and some high-field Cα signals are significantly weaker in the NCA-DIPAP experiment. There are 12 correlations that have >2.5 times better S/N in the CAN experiment compared to the NCA-DIPAP experiment. These correlations originate from Gly (4/5 residues) and Ser (1/1 residue) as well as one of the Thr signals that showed a significantly high-field Cα chemical shift (66.0 ppm). No signal in the CAN experiment was below 50% of the corresponding NCA-DIPAP signal.

As discussed above, sequential coherences reach their maximum at 2TN ~ 70 ms, when the intra-residual correlations are largely suppressed. Figure 3 shows a comparison of the nitrogen-detected 2D CAN spectrum with 2TN = 22 ms (A, C) and 70 ms (B, D). It is clearly shown that the intra-residual correlations are suppressed with a 70 ms delay, whereas, sequential coherences have in average a S/N that is 16% higher at 70 ms than at 22 ms (Fig. 3e).

Fig. 3.

Fig. 3

Comparison of the CAN experiment recorded with different nitrogen refocusing periods (TN). a The CAN spectrum of uniformly 2H15N13C labeled GB1 (4 mM) recorded with the same conditions as in Fig. 2, with TN = 11 ms. b same with TN = 35 ms. Positive and negative correlation peaks are shown in red and cyan, respectively. The regions boxed in (a) and (b) are enlarged in (c) and (d). The measuring time for both spectra were 15 h, each. In the enlarged 2D CAN spectra, black arrowheads indicate sequential correlations. e Histogram of the ratios of S/N in the CAN experiment with TN = 35 and 11 ms. Sequential and intra-residual correlations are shown with solid red and open black bars, respectively

While the 2D spectra shown here are well dispersed with narrow lines and exhibit good sensitivity, the sensitivity and resolution can be further improved by using non-uniform sampling with suitable processing schemes (Hyberts et al. 2010). As shown in supplemental Fig. S3, a comparable spectrum was obtained with non-uniform sampling and FM reconstruction. The sampling schedule was designed by selecting gaps according to a Poisson distribution (Hyberts et al. 2010). The measuring time was 6.5 h compared to the 15 h needed with uniform sampling. With the exception of two sequential correlations (Thr18 13Cα- Glu19 15NH and Thr49 13Cα- Lys50 15NH), all intra-residue and sequential correlations are observed in the non-uniformly sampled CAN spectrum.

Alternate 13C–12C labeling may also be used in conjunction with the CAN experiment. There are two benefits associated with alternate 13C–12C labeling. Due to the absence of the 1JCαCβ coupling, the carbon–nitrogen INEPT delay (a-b, in Fig. 1) can be shortened from 28 to 22 ms (the optimal value depends also on the 13Cα T2), which reduces sensitivity losses during this period. For instance the 52 kDa GST dimer, which we will discuss below, has a 13Cα T2 of 30 ms. In this case, we estimate that about 30% stronger coherences will be preserved in the first INEPT transfer.

Furthermore, if the neighboring residues are not 13C labeled in the Cα position, the conversion of nitrogen antiphase SQCs into the detected NH single quantum coherences becomes more efficient. For this case, the evolution of the intra-residual correlation in uniformly 13C-labeled protein can be modified from (2) to the following:

σd=cos((ωCiα)t1)×(NyiSC(Ji/i1)CC(Ji/i+12)SN(Ji/i1)CN(Ji1/i2)eiωit22NxiCziαSC(Ji/i1)CC(Ji/i+12)CN(Ji/i1)SN(Ji1/i2)eiωit2)e2TC/T2Cαe2TN/T2N (2-1)
σd=cos((ωCiα)t1)×(Nyi+1SC(Ji/i+12)CC(Ji/i1)SN(Ji/i+12)CN(Ji+1/i+11)eiωi+1t22Nzi+1CziαSC(Ji/i+12)CC(Ji/i1)CN(Ji/i+12)SN(Ji+1/i+11)eiωi+1t2)e2TC/T2Cαe2TN/T2N (2-2)

If Cα of residue i−1 is not 13C labeled, SN(2Ji−1/i) becomes zero and CN(2Ji−1/i) becomes one, since there is no 2Ji−1/i coupling. Thus, only the detectable term of Eq. (2-1) would remain, avoiding the leakage of coherence to undetectable term, and the expression simplifies to:

σd=cos((ωCiα)t1)×NyiSC(Ji/i1)CC(Ji/i+12)SN(Ji/i1)eiωit2e2TC/T2Cαe2TN/T2N (3-1)

Similarly, the sequential correlation in uniformly 13C-labeled protein can be re-written in a modified form of Eq. (2), (2-2), including a non-detectable term.

If Cα of residue i + 1 is not 13C labeled, SN(2Ji+1/i+1) becomes zero and CN(2Ji+1/i+1) becomes one, since there is no coupling value for 1Ji+1/i+1. Thus, only the detectable term of Eq. (2-2) would remain, avoiding the leakage of coherence to undetectable terms Eq. (3–2).

σd=cos((ωCiα)t1)×Nyi+1SC(Ji/i+12)CC(Ji/i1)SN(Ji/i+12)eiωi+1t2e2TC/T2Cαe2TN/T2N (3-2)

More generally, if the Cα 13C labeling ratio of residue i− 1 and i + 1 is written as Li−1 and Li+1, respectively. Equation 3-1 and 3-2 are written as:

σd=cos((ωCiα)t1)×(NyiSC(Ji/i1)CC(Ji/i+12)SN(Ji/i1)CN(Ji1/i2)eiωit2×Li1+NyiSC(Ji/i1)CC(Ji/i+12)SN(Ji/i1)eiωit2×(1Li1)+)e2TC/T2Cαe2TN/T2N (4-1)

And

σd=cos((ωCiα)t1)×(Nyi+1SC(Ji/i+12)CC(Ji/i1)SN(Ji/i+12)CN(Ji+1/i+11)eiωi+1t2×Li+1+Nyi+1SC(Ji/i+12)CC(Ji/i1)SN(Ji/i+12)eiωi+1t2×(1Li+1)+)e2TC/T2Cαe2TN/T2N (4-2)

Supplemental Fig. S4 shows the evolution of the intra-residual and sequential correlations with different 13Cα labeling ratios in the neighboring residues. Both intra-residual and sequential correlations are transferred more efficiently with lower 13Cα-labeling ratios in the neighboring residues. It may be beneficial to use this strategy for large molecular weight proteins to enhance the sensitivity of weaker sequential correlations. In the case of the GST dimer (80 ms nitrogen T2 and 30 ms 13Cα T2), a sequential correlation with <20% 13Cα labeling ratio in the succeeding residue is expected to be more than twice as sensitive as when using uniform 13C labeling (22 ms nitrogen delay). The alternate 13C–12C labeling can also be used to classify the amino acid type of neighboring residues since different labeling patterns occur for different amino acids. Figure S5 shows the ratio of signal intensity for sequential correlations between the spectra recorded with 22 and 60 ms nitrogen refocusing periods. The ratio becomes negative for those residues that have a succeeding residue with 100% 13Cα labeling (Ala, Cys, Gly, His, Phe, Ser, Tyr, Trp, and Val), while other residues exhibit positive values. This information provides valuable hints about the amino-acid types of succeeding residues along with its chemical shift information.

We also recorded the 2D CAN experiment for the 52 kDa GST protein dimer. A 0.75 mM sample of the uniformly 2H15N13C-labeled GST dimer (1.5 mM monomer concentration) was prepared in buffered D2O and supplemented with 4 mM Gd(DTPA-BMA). The addition of the 4 mM Gd(DTPA-BMA) shortened the 13Cα T1 for the entire protein including the core. The average T1 for 13Cα measured under this condition was 1.4 s, which is significantly shorter than the T1 value without Gd (DTPA-BMA) (~3.6 s). No signals with T1 values longer than 1.8 s were observed in an inversion recovery experiment. T2 values of 30 ms for 13Cα and 80 ms for 15N were measured under these conditions. The 13Cα T1 without Gd (DTPA-BMA) was shorter in GST than for GB1 at the “150 kDa” condition, consistent with a shorter rotational correlation time (τC) (or smaller molecular weight) of the GST protein. However, T2 values were significantly shorter in GST most likely due to the presence of partial aggregation and/or exchange broadening in the GST sample. In a 3.5 day experiment, we could observe ~250 resolved signals, which correspond to ~54% of the total expected resonances, including both inter- or intra-residue signals (Fig. 4). The observed resonances are reasonably narrow and well dispersed, indicating the applicability of the CAN experiment to higher molecular weight protein systems at moderate concentrations. It is worth noting that 13 out of 14 Pro Cδ-N correlations were observed and are placed in a dashed frame in Fig. 4. All of the Pro Cδ-N correlations except one (δN = 136 ppm) can be associated with the corresponding Cα-N cross peaks with carbon chemical shifts around 61–67 ppm. Three of them have additional signals in carbon chemical shifts below 60 ppm, which correspond to sequential correlations. This indicates that most of the intra-residual correlations are observed in this spectrum, while sequential correlations are barely above the noise level. This is further confirmed by the smaller number of correlation peaks in the CAN experiment with a 70 ms nitrogen refocusing delay TN, which selects for sequential over intra-residual correlations (see Fig. S1 and discussion above, data not shown). Since the sequential correlations are expected to be three times less sensitive compared to intra-residual correlations, with the estimated T2 values for 13Cα and 15N, using longer measuring times will significantly enhance the performance of this experiment. We expect that this is best achieved at higher magnetic fields where the sensitivity is improved by an enhanced polarization. It is clear that further improvements need to be introduced at the hardware level as well as in data acquisition and processing to enable a routine use of this experiment for very large proteins. However, as we will discuss below, a similar number of peaks are missing in the HNCA experiment recorded in a comparable experimental time (3 days) and the 1H-15N TROSY HSQC spectra. Thus, the absence of these correlations is likely due to a large degree to exchange processes and lack of optimization of sample conditions and not only due to a low sensitivity of the nitrogen detected experiments.

Fig. 4.

Fig. 4

a CAN and b CON spectra of uniformly 2H15N13C labeled GST dimer (0.75, 1.5 mM monomer concentration) recorded at 298 K in buffered 2H2O supplemented with 4 mM Gd (DTPA-BMA). The CON experiment is described in the supporting information. Positive and negative correlation peaks are shown in red and cyan, respectively. a The dashed rectangle contains the proline Cδ-N correlations (top left). The proline Cα-N correlations are connected to C′-N correlations as well as C′-N correlations in (b) by cyan lines. The 2D CAN experiment was recorded with a spectral width of 2,541 (direct) × 3,769 Hz (indirect) with the center frequencies at 122 ppm (15N) and 55 ppm (13C). 512 (direct) × 105 (indirect) complexed data points were recorded with Tc = 14 ms and TN = 11 ms. For each increment, 768 scans were accumulated. A cosine-apodization function was applied to each FID, which was followed by zero filling up to 1,024 data points for the direct dimension before Fourier transform. The recycling delay was set to 1.8 s. b The 2D CON experiment was recorded with spectral widths of 2,541 (direct) × 2,513 Hz (indirect) with the center frequencies at 122 ppm (15N) and 176 ppm (13C). 512 (direct) × 41 (indirect) complex data points were recorded with Tc = 8.5 ms and TN = 14.5 ms (See Fig. S5 for the CON pulse scheme). For each increment, 672 scans were accumulated. A cosine-apodization function was applied to each FID, which was followed by zero filling up to 1,024 data points in the direct dimension. The recycling delay was set to 1.8 s. c The CAN spectrum shown in a is overlaid by the CAN correlations observed in a TROSY-HNCA spectrum recorded within the same experimental time, on a sample with the same concentration but dissolved in buffered H2O. Diamonds in the spectrum indicate the position of the CAN correlations observed in the TROSY-HNCA spectrum. In cases where two Cα correlations are observed for one H–N pair, the stronger signal is shown in black while the weaker signal is indicated in gray. d 15N-1H TROSY spectrum of the uniformly 2H15N13C-labeled GST (1.5 mM monomer concentration), recorded at 289 K with a 600-MHz AVANCE spectrometer (Bruker) equipped with a cryogenic probe designed for proton-detected experiments. The experiment was recorded with spectral widths of 9,600 (direct) × 2,400 Hz (indirect) with 1H and 15N center frequencies of 4.7 and 120 ppm, respectively. For the direct dimension 1,024 complex data points were recorded, while 256 data points were recorded in the indirect dimension. The measuring times were 3.5 days for the 2D CAN, 1.5 days for the CON, 3 days for the 3D TROSY-HNCA, and 7 h for the 15N1H-TROSY-HSQC

An experiment for detecting 13C′-15N correlations, CON, was designed with a similar pulse scheme as in Fig. 1 (Fig. S6). While the 13C′ transverse relaxation is faster compared to 13Cα in higher molecular weight proteins and at high magnetic-field, it may nevertheless be beneficial to utilize the efficient coherence transfer pathway. In addition, the “out-and-stay” type transfer used in the CON experiment shortens the C′ transverse period to 33 ms compared to 66 ms used in NCO-IPAP, which use the “out-and-back” coherence pathway. Thus, the CON experiment may be less susceptible to signal loss due to CSA at high molecular weight and high magnetic fields. Figure 4b shows the CON spectrum for the 52 kDa GST protein dimer recorded under the same conditions as used in Fig. 3. The spectrum was recorded over 1.5 days, and we observed ~160 resolved signals, which correspond to ~71% of the expected resonances.

The CAN/CON nitrogen-detected experiments are ideally suited for detecting proline resonances. This is a clear advantage over conventional proton-detected sequences, such as the HNCA or related experiments where prolines cause gaps in the assignments, in particular if there are two or more in a row. Moreover, the CAN/CON experiments can use the unique proline chemical shifts as amino acid type markers to facilitate sequential assignments. In addition, the nitrogen-detected experiments do not suffer from incomplete deuterium to proton back-exchange in perdeu-terated proteins that have been expressed in D2O. This is clearly exemplified in Fig. 4c. The CA-N correlations observed in the CAN spectrum appear at nearly identical positions as in the TROSY-HNCA spectra. However, there are a number of signals that are only observed in the CAN spectrum. These signals missing in the TROSY-HNCA are most likely from residues whose amides are not exchanged back to protons within a 4 days exposure to H2O. Thus, the CAN experiment yields information that is not easily available from 1H-detected triple resonance experiments due to incomplete amide back exchange in perdeuterated proteins expressed in D2O. Thus, the experiment can be a valuable complement to conventional proton-detected triple resonance experiments. It is worth noting that only 83% of expected N–H correlations (189/227) are observed in 15N-1H TROSY-HSQC spectrum and of those 170 resonances were associated with a signal in the TROSY-HNCA spectrum, which was recorded with the same measuring time and concentration as the CAN spectrum (3.5 days, 1.5 mM). The total number of signals in the TROSY-HNCA spectrum was 272, which is comparable to the 250 in the CAN experiment. There are some correlations observed in the HNCA experiment that are not seen in the CAN for reasons not yet known. However, there are probably correlations missing in both experiments due to dynamic effects, which could only be answered by pursuing complete sequential assignments.

Finally, the nitrogen-detected experiments have superior resolution and signal overlap is much less severe than in the proton-detected experiments. A comparison with the TROSY-HSQC spectrum is shown in supplemental Fig. 4d. This is again due to the favorable relaxation properties of deuterated nitrogen nuclei, which is best exploited in the directly detected dimension.

Conclusion

In summary, the 2D CAN 15N-direct-detection experiment provides an alternative way for establishing main chain resonance assignment of 15N and 13Cα resonances using 13Cα chemical shift matching. On the other hand, the CON experiment takes advantage of the stronger CO–N coupling and can be used to complement assignments of backbone C′ atoms. Conventional uniform 13C labeling is suitable for both the CAN and CON experiments. Unlike the NCA-DIPAP or NCO-IPAP experiments, which provide the same information using 13C-direct detection, no complicated spin selection scheme is needed for the decoupling of the detected nuclei. In theory, the intensity (starting magnetization at the beginning of an FID) of the 15N signal should be four-fold lower than that of a 13C signal for an equal number of spins. In the CAN experiment, however, the sensitivity losses are largely compensated by the slower transverse relaxation of 15N, a simpler and more efficient decoupling scheme, and the relaxation-optimized properties of the pulse sequences. For several types of residues such as Gly, Ser and residues with high-frequency Cα, significantly higher sensitivity was observed. Using slowly relaxing 15N nuclei may be especially beneficial for assigning high molecular weight proteins. The experiments described here were recorded on a 500 MHz spectrometer and in D2O to minimize the H–N dipole relaxation on 15N nuclei. However, transverse relaxation of protonated 15N in large proteins would be significantly reduced by cross-correlated relaxation caused by DD and CSA interference at higher magnetic fields (Pervushin et al. 1997). Thus, at higher magnetic fields and in H2O solution, it may be very interesting to see the performance of this experiment slightly modified to exploit the TROSY effect. In addition, when compared to 1H detected experiments, the CAN experiment as well as the CON experiments are not affected by the deuterium to proton exchange process which is often unsuccessful in large molecular weight proteins leading to incomplete assignments of the interior of the molecules. These experiments also have the ability of detecting Pro resonances. This feature is particularly important for the structural analysis of transcription activation factors as this class of proteins often contain proline-rich domain that are functionally important (Rao et al. 1997; Ruaro et al. 1997; Venot et al. 1998; Enkhmandakh et al. 2006). It is also known that large proteins that form biological switch functions often contain regulatory domains with phosphorylation sites, which are usually proline rich, partially folded and poorly understood. Examples are regulators of translation initiation, such as 4EBPs and their complexes with initiation factors (Marintchev et al. 2007). In addition, lower γ of the nuclei involved in the experiment are highly beneficial in approaching metal binding center of paramagnetic proteins. Thus, nitrogen detected experiments provide unique information not available in proton-detected experiments. Together with the superior resolution, the 15N-detected CAN and CON experiments provide attractive alternatives and complements for assignment of backbone resonances.

Acknowledgments

This work was supported by the NIH (grants AI37581, GM47467 and EB 002026).

Footnotes

Electronic supplementary material The online version of this article (doi:10.1007/s10858-010-9430-z) contains supplementary material, which is available to authorized users.

Contributor Information

Koh Takeuchi, Department of Biochemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA; Biomedicinal Information Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo 135-0064, Japan.

Gregory Heffron, Department of Biochemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA.

Zhen-Yu J. Sun, Department of Biochemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA

Dominique P. Frueh, Department of Biochemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Gerhard Wagner, Email: gerhard-wagner@hms.harvard.edu, Department of Biochemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA.

References

  1. Arnesano F, Banci L, Piccioli M. NMR structures of paramagnetic metalloproteins. Q Rev Biophys. 2005;38:167–219. doi: 10.1017/S0033583506004161. [DOI] [PubMed] [Google Scholar]
  2. Balayssac S, Jimenez B, Piccioli M. Assignment strategy for fast relaxing signals: complete aminoacid identification in thulium substituted calbindin D 9 K. J Biomol NMR. 2006;34:63–73. doi: 10.1007/s10858-005-5359-z. [DOI] [PubMed] [Google Scholar]
  3. Bermel W, Bertini I, Felli IC, Kummerle R, Pierattelli R. 13C Direct detection experiments on the paramagnetic oxidized monomeric copper, zinc superoxide dismutase. J Am Chem Soc. 2003;125:16423–16429. doi: 10.1021/ja037676p. [DOI] [PubMed] [Google Scholar]
  4. Bermel W, Bertini I, Felli IC, Lee YM, Luchinat C, Pierattelli R. Protonless NMR experiments for sequence-specific assignment of backbone nuclei in unfolded proteins. J Am Chem Soc. 2006a;128:3918–3919. doi: 10.1021/ja0582206. [DOI] [PubMed] [Google Scholar]
  5. Bermel W, Bertini I, Felli IC, Piccioli M, Pierattelli R. 13C-detected protonless NMR spectroscopy of proteins in solution. Prog Nucl Magn Res Spec. 2006b;48:25–45. [Google Scholar]
  6. Bermel W, Bertini I, Felli IC, Matzapetakis M, Pierattelli R, Theil EC, Turano P. A method for Ca direct-detection in protonless NMR. J Magn Reson. 2007;188:301–310. doi: 10.1016/j.jmr.2007.07.004. [DOI] [PubMed] [Google Scholar]
  7. Cai S, Seu C, Kovacs Z, Sherry AD, Chen Y. Sensitivity enhancement of multidimensional NMR experiments by paramagnetic relaxation effects. J Am Chem Soc. 2006;128:13474–13478. doi: 10.1021/ja0634526. [DOI] [PubMed] [Google Scholar]
  8. Eletsky A, Moreira O, Kovacs H, Pervushin K. A novel strategy for the assignment of side-chain resonances in completely deuterated large proteins using 13C spectroscopy. J Biomol NMR. 2003;26:167–179. doi: 10.1023/a:1023572320699. [DOI] [PubMed] [Google Scholar]
  9. Emsley L, Bodenhausen G. Optimization of shaped selective pulses for NMR using a quaternion description of their overall propagators. J Magn Reson. 1992;97:135–148. [Google Scholar]
  10. Enkhmandakh B, Makeyev AV, Bayarsaihan D. The role of the proline-rich domain of Ssdp1 in the modular architecture of the vertebrate head organizer. Proc Natl Acad Sci USA. 2006;103:11631–11636. doi: 10.1073/pnas.0605209103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Ernst RR. Principles of nuclear magnetic resonance in one and two dimensions. Oxford: Oxford Science Publications; 1987. [Google Scholar]
  12. Felli I, Brutscher B. Recent advances in solution NMR: fast methods and heteronuclear direct detection. ChemPhysChem. 2009;10:1356–1368. doi: 10.1002/cphc.200900133. [DOI] [PubMed] [Google Scholar]
  13. Frueh DP, Arthanari H, Wagner G. Unambiguous assignment of NMR protein backbone signals with a time-shared triple-resonance experiment. J Biomol NMR. 2005;33:187–196. doi: 10.1007/s10858-005-3204-z. [DOI] [PubMed] [Google Scholar]
  14. Goddard TD, Kneller DG. SPARKY 3. San Francisco: University of California; 2004. [Google Scholar]
  15. Grzesiek S, Bax A. Amino acid type determination in the sequential assignment procedure of uniformly 13C/15N-enriched proteins. J Biomol NMR. 1993;3:185–204. doi: 10.1007/BF00178261. [DOI] [PubMed] [Google Scholar]
  16. Hsu S-TD, Bertoncini CW, Dobson CM. Use of protonless NMR spectroscopy to alleviate the loss of information resulting from exchange-broadening. J Am Chem Soc. 2009;131:7222–7223. doi: 10.1021/ja902307q. [DOI] [PubMed] [Google Scholar]
  17. Hyberts SG, Takeuchi K, Wagner G. Poisson-gap sampling and forward maximum entropy reconstruction for enhancing the resolution and sensitivity of protein NMR Data. J Am Chem Soc. 2010;132:2145–2147. doi: 10.1021/ja908004w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. John M, Park AY, Dixon NE, Otting G. NMR detection of protein 15N spins near paramagnetic lanthanide ions. J Am Chem Soc. 2006;129:462–463. doi: 10.1021/ja066995o. [DOI] [PubMed] [Google Scholar]
  19. Kupče, Freeman R. Adiabatic pulses for wideband inversion and broadband decoupling. J Magn Reson A. 1995;115:273–276. [Google Scholar]
  20. Kupče E, Freeman R, Wider G, Wu¨thrich K. Figure of merit and cycling sidebands in adiabatic decoupling. J Magn Reson A. 1996;120:264–268. [Google Scholar]
  21. Lee D, Vögeli B, Pervushin K. Detection of C′, Cα correlations in proteins using a new time- and sensitivity-optimal experiment. J Biomol NMR. 2005;31:273–278. doi: 10.1007/s10858-005-2361-4. [DOI] [PubMed] [Google Scholar]
  22. Lin IJ, Xia B, King DS, Machonkin TE, Westler WM, Markley JL. Hyperfine-shifted 13C and 15N NMR signals from costridium pasteurianum rubredoxin: extensive assignments and quantum chemical verification. J Am Chem Soc. 2009;131:15555–15563. doi: 10.1021/ja905928x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Logan TM, Olejniczak ET, Xu RX, Fesik SW. A general method for assigning NMR spectra of denatured proteins using 3D HC(CO)NH-TOCSY triple resonance experiments. J Biomol NMR. 1993;3:225–231. doi: 10.1007/BF00178264. [DOI] [PubMed] [Google Scholar]
  24. Machonkin TE, Westler WM, Markley JL. Strategy for the study of paramagnetic proteins with slow electronic relaxation rates by NMR spectroscopy: application to oxidized human [2Fe-2S] ferredoxin. J Am Chem Soc. 2004;126:5413–5426. doi: 10.1021/ja037077i. [DOI] [PubMed] [Google Scholar]
  25. Marintchev A, Frueh D, Wagner G. NMR methods for studying protein-protein interactions involved in translation initiation. Methods Enzymol. 2007;430:283–331. doi: 10.1016/S0076-6879(07)30012-8. [DOI] [PubMed] [Google Scholar]
  26. Marion D, Ikura M, Tschudin R, Bax A. Rapid recording of 2D NMR spectra without phase cycling. Application to the study of hydrogen exchange in proteins. J Magn Reson. 1989;85:393–399. [Google Scholar]
  27. Pervushin K, Riek R, Wider G, Wu¨thrich K. Attenuated T2 relaxation by mutual cancellation of dipole-dipole coupling and chemical shift anisotropy indicates an avenue to NMR structures of very large biological macromolecules in solution. Proc Natl Acad Sci USA. 1997;94:12366–12371. doi: 10.1073/pnas.94.23.12366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Rao A, Luo C, Hogan PG. Transcription factors of the NFAT family: regulation and function. Annu Rev Immunol. 1997;15:707–747. doi: 10.1146/annurev.immunol.15.1.707. [DOI] [PubMed] [Google Scholar]
  29. Rovnyak D, Hoch JC, Stern AS, Wagner G. Resolution and sensitivity of high field nuclear magnetic resonance spectros-copy. J Biomol NMR. 2004;30:1–10. doi: 10.1023/B:JNMR.0000042946.04002.19. [DOI] [PubMed] [Google Scholar]
  30. Ruaro EM, Collavin L, Del Sal G, Haffner R, Oren M, Levine AJ, Schneider C. A proline-rich motif in p53 is required for transactivation-independent growth arrest as induced by Gas1. Proc Natl Acad Sci USA. 1997;94:4675–4680. doi: 10.1073/pnas.94.9.4675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Serber Z, Richter C, Do¨tsch V. Carbon-detected NMR experiments to investigate structure and dynamics of biological macromolecules. Chembiochem. 2001;2:247–251. doi: 10.1002/1439-7633(20010401)2:4<247::AID-CBIC247>3.0.CO;2-V. [DOI] [PubMed] [Google Scholar]
  32. Shaka AJ, Keeler J, Frenkiel T, Freeman R. An improved sequence for broadband decoupling: WALTZ-16. J Magn Reson. 1983;52:335–338. [Google Scholar]
  33. Shaka AJ, Barker PB, Freeman R. Computer-optimized decoupling scheme for wideband applications and low-level operation. J Magn Reson. 1985;64:547–552. [Google Scholar]
  34. Shimba N, Stern AS, Craik CS, Hoch JC, Dötsch V. Elimination of 13Calpha splitting in protein NMR spectra by deconvolution with maximum entropy reconstruction. J Am Chem Soc. 2003;125:2382–2383. doi: 10.1021/ja027973e. [DOI] [PubMed] [Google Scholar]
  35. Takeuchi K, Sun ZY, Wagner G. Alternate 13C-12C labeling for complete main chain resonance assignments using Ca direct-detection with applicability toward fast relaxing protein systems. J Am Chem Soc. 2008;130:17210–17211. doi: 10.1021/ja806956p. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Takeuchi K, Frueh DP, Hyberts SG, Sun ZJ, Wagner G. High-resolution 3D CANCA NMR experiments for complete main chain assignments using Ca direct-detection. J Am Chem Soc. 2010 doi: 10.1021/ja907717b. (in press) [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Vance CK, Kang YM, Miller A-F. Selective 15N labeling and direct observation by NMR of the active-site glutamine of Fe-containing superoxide dismutase. J Biomol NMR. 1997;9:201–206. doi: 10.1023/a:1018662421878. [DOI] [PubMed] [Google Scholar]
  38. Vasos PR, Hall JB, Kummerle R, Fushman D. Measurement of 15N relaxation in deuterated amide groups in proteins using direct nitrogen detection. J Biomol NMR. 2006;36:27–36. doi: 10.1007/s10858-006-9063-4. [DOI] [PubMed] [Google Scholar]
  39. Venot C, Maratrat M, Dureuil C, Conseiller E, Bracco L, Debussche L. The requirement for the p53 proline-rich functional domain for mediation of apoptosis is correlated with specific PIG3 gene transactivation and with transcriptional repression. EMBO J. 1998;17:4668–4679. doi: 10.1093/emboj/17.16.4668. [DOI] [PMC free article] [PubMed] [Google Scholar]

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