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. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: J Biomol NMR. 2019 Aug 28;73(10-11):617–624. doi: 10.1007/s10858-019-00273-1

Improving the Quality of Oriented Membrane Protein Spectra Using Heat-Compensated Separated Local Field Experiments

Songlin Wang 1, T Gopinath 1, Gianluigi Veglia 1,2,*
PMCID: PMC6861693  NIHMSID: NIHMS1538484  PMID: 31463642

Abstract

Oriented sample solid-state NMR (OS-ssNMR) spectroscopy is a powerful technique to determine the topology of membrane proteins in oriented lipid bilayers. Separated local field (SLF) experiments are central to this technique as they provide first-order orientational restraints, i.e., dipolar couplings and anisotropic chemical shifts. Despite the use of low-E (or E-free) probes, the heat generated during the execution of 2D and 3D SLF pulse sequences causes sizeable line-shape distortions. Here, we propose a new heat-compensated SE-SAMPI4 (hcSE-SAMPI4) pulse sequence that holds the temperature constant for the duration of the experiment. This modification of the SE-SAMPI4 results in sharper and more intense resonances without line-shape distortions. The spectral improvements are even more apparent when paramagnetic relaxation agents are used to speed up data collection. We tested the hcSE-SAMPI4 pulse sequence on a single-span membrane protein, sarcolipin (SLN), reconstituted in magnetically aligned lipid bicelles. In addition to eliminating peak distortions, the hcSE-SAMPI4 experiment increased the average signal-to-noise ratio by 20% with respect to the original SE-SAMPI4.

Keywords: Oriented-Sample Solid-state NMR, Paramagnetic Relaxation Enhancement, Heat Compensation, SAMPI4, Membrane Proteins, Sarcolipin, Bicelles

INTRODUCTION

Solid-state NMR (ssNMR) spectroscopy has emerged as a powerful technique to characterize the structures, motions, and interactions of proteins 15. This technique provides atomic-resolution information on amyloid fibrils, microcrystalline proteins, and membrane proteins reconstituted in lipids at the liquid-crystalline state. For membrane proteins, the synergistic use of magic angle spinning (MAS) and oriented sample (OS) ssNMR enables to obtain both structure and topology of membrane proteins 69. While MAS-ssNMR provides isotropic chemical shifts, distances, and torsion angles 1013; OS-ssNMR offers topological information through the measurements of anisotropic parameters such as chemical shifts and dipolar couplings 1417. A few high-resolution structures have been obtained using a combination of these techniques 1820. However, both approaches suffer from low sensitivity and resolution, which hamper their routine application and throughput. One way to overcome the low sensitivity issue is the use of paramagnetic agents to accelerate data collection for multidimensional experiments 21. The unpaired electrons of the paramagnetic centers enhance the longitudinal relaxation times (T1) of nuclei, making it possible to shorten the recycle delays between the RF transients and reducing the overall experimental time. Among the different paramagnetic agents, Cu2+- and Gd3+-chelated lipids have been employed in MAS-ssNMR to speed up data collection for microcrystalline, fibrillar as well as membrane proteins2226. More recently, Ramamoorthy and co-workers used Cu2+-chelated lipids to speed up the acquisition of 1D spectra of membrane proteins reconstituted in bicelles 26,27, though these authors warned about the RF heating problem. Following this work, we recently obtained very promising results by doping phospholipid bicelles with 5% Cu2+-chelated lipids that enabled fast collection of 2D and 3D OS-ssNMR spectra 28. However, for these multidimensional experiments short recycle delays together with high-power decoupling caused significant RF heating in spite of the use of low-E 29 or E-free 30 probes. Therefore, we were forced to use longer recycling delays to prevent line-shape distortions and sample deterioration.

To reduce the temperature variations during the execution of the experiments, we develop a heat-compensated version of SLF experiments and implement in SAMPI4 (selective averaging via magic sandwich pulses using π/4 flip pulses) experiment originally introduced by Nevzorov and Opella31 and later improved by our group with the sensitivity enhancement (SE) scheme32. We tested the new heat compensated SE-SAMPI4 (hcSE-SAMPI4) pulse sequence on sarcolipin (SLN) embedded in anisotropic lipid bicelles (Figure 2a). SLN is a 31-residue single-span polypeptide that regulates the activity of the sarcoplasmic reticulum Ca2+-ATPase (SERCA) 3336. By comparing the performances of SE-SAMPI4 and hcSE-SAMPI4 experiments, we found a significant reduction of line-shape distortions on the 2D spectra of SLN and an average increase of S/N ratio of 20%, with resonance specific enhancement up to 40%.

Figure 2. Effects of RF heating on the SLN resonances.

Figure 2.

a) Amino acid sequence of SLN and its secondary structure. b) Temperature effect on the SE-SAMPI4 spectra of SLN reconstituted in magnetically aligned bicelles. The blue, green, and red SE-SAMPI4 spectra were acquired at 20 °C, 27 °C and 35 °C respectively. The arrows indicate the direction of the resonance changes toward the isotropic chemical shift values of the amide groups as well as the direction of the low dipolar couplings as the temperature increases.

MATERIALS AND METHODS

Recombinant [U-15N] SLN was produced as previously described 37. For the SLN samples reconstituted in bicelles with Cu2+-chelated lipids, we prepared two different preparations. For the first sample, we used CHCl3 to solubilize 29.0 mg 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) and 8.2 mg 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC); while for the second sample, we used 6.1 mg 1,2-dihexanoyl-sn-glycero-3-phosphocholine (DHPC) and 2.4 mg 1,2-dimyristoyl-sn-glycero-3-phosphoethanolamine-N-diethylenetriaminepentaacetic acid copper salt (Cu2+-DMPE-DTPA). To eliminate any trace of organic solvents, we dried all lipids under a flux of N2 gas and lyophilized for at least 2 hours. We dissolved DMPC and POPC in Octaethylene glycol monododecyl ether (C12E8) (detergent/lipid ratio of 1:1 w/w) to form a clear suspension of mixed micelles. We then solubilized SLN (1.5 mg) separately with 1% C12E8 solution and then added to the mixed micelle preparation. We adjusted the sample volume to 20 mL using the NMR buffer consisting of 20 mM HEPES, 100 mM KCl, 5.0 mM MgCl2, 0.25 mM DDT, 0.02% NaN3, 2.5% Glycerol. We incubated the mixture containing SLN, long-chain lipids, and C12E8 with Biobeads® (1:20 w/w ratio for detergent/Biobeads®) for 3 hours to completely remove the detergent. The cloudiness of the suspension confirmed the formation of the DMPC/POPC vesicles containing SLN. After Biobeads® removal, we adjusted the pH of the sample to 7.0 and centrifuged the DMPC/POPC vesicles containing SLN at a speed of 50,000 g for 50 min. The DHPC/ Cu2+-DMPE-DTPA lipids were dissolved in 100 μL of NMR buffer and pH to 7.0, then added to the vesicles. The protein/lipid mixture was vortexed for a few minutes at 4°C to ensure the suspension was homogenous. The bicelles were formed by carrying out 3–5 freezing/thawing cycles. Finally, the sample was concentrated to a volume of 150 μL prior to loading it into a 5 mm flat-bottom glass tube for spectroscopy.

All the NMR experiments were performed on Varian VNMRS spectrometer operating at a 1H frequency of 600 MHz equipped with low-E static bicelle probe built by the RF program at the National High Magnetic Field Laboratory (NHMFL) in Florida29. The VT cooling gas rate was set as 20 L/min. The accuracy of VT gas temperature was confirmed using CH3OH 38. For SE-SAMPI4 experiment shown in Figure 3b 32, 15N spin polarization was prepared with adiabatic cross polarization (CP) using a linear ramped pulse at the 15N channel and a rectangular pulse at the 1H channel. The 15N RF field strength was swept from 38 kHz to 62 kHz with the average RF field at 50 kHz; while the 1H RF field amplitude was kept constant at 50 kHz. The CP contact time was 750 µs. During the t1 evolution, the homonuclear 1H decoupling was achieved by applying 62.5 kHz magic sandwich pulses on 1H and simultaneous phase switched spin lock pulses on 15N with RF amplitude set to 62.5 kHz, matching the Hartmann-Hahn condition. The spin-lock pulse durations were 14 µs and 24 µs for 1H and 15N channels, respectively. For the 1H channel, two 4 µs 90° pulses were applied between two spin-lock pulses with a 12 µs interval. The dwell time of the t1 acquisition was 96 µs. After the t1 acquisition, two 90° pulses were applied on 1H and 15N channels simultaneously, followed by a 35.3° pulse on the 1H channel only. For the sensitivity enhancement (SE) sequence, a 75 µs τ delay of the SE scheme was used, corresponding to two cycles of phase-modulated Lee-Goldberg (PMLG) with effective RF amplitude of 80 kHz on the 1H channel. After the τ delay, a 180° inversion pulse was used on the 15N channel followed by another τ delay period with a 50 kHz SPINAL decoupling on the 1H channel. A final 90° pulse was applied on the 15N channel to prepare the 15N polarization for the t2 detection. The t2 acquisition was set to 10 ms for all the NMR experiments. For the hcSE-SAMPI4 experiment, an extra heat-compensation block was added after the t2 acquisition, which mirrors the homonuclear decoupling applied during the t1 acquisition period. Note that the length of the heat-compensation scheme is complementary with the length of the t1 acquisition to ensure that their sum gives a constant time, which equals to the maximum t1 acquisition time.

Figure 3. Implementation of the heat compensations in the SAMPI4 experiment.

Figure 3.

a) SAMPI4, b) SE-SAMPI4 and c) hcSE-SAMPI4 pulse sequences. The color-shaded units represent the different blocks in the pulse sequences. The black rectangle indicates 90° pulses, the grey rectangle indicates 180° pulse, the yellow rectangle indicates CP with constant amplitude, the yellow trapezoid indicates CP with linear ramp, the blue rectangle indicates continuous-wave pulse for homonuclear decoupling during t1 acquisition; the red rectangle indicates 35.3° pulse, the green rectangle indicates Lee-Goldberg decoupling; the purple rectangle indicates SPINAL decoupling during the t2 acquisition. Single phase is used for most of the pulses. For the remaining pulses the following phase cycles were implemented: ϕ1 = y, −y, y, −y; ϕ2 = x, x, −x, −x; ϕrec = y, −y, y, −y. The heat-compensation (blue-shaded) of hcSE-SAMPI4 after the t2 acquisition is implemented as a constant time.

RESULTS

To quantitate the extent of sample heating, we first performed a calibration curve, monitoring the 1H chemical shift of H2O in bicelle samples as a function of the temperature using a one-pulse experiment (Figure 1a) 39,40. Then, we acquired two different 1H one-pulse spectra of H2O in a SLN bicelle sample immediately before and after performing dummy scans with the SE-SAMPI4 pulse sequence. The resulting H2O chemical shift difference between two 1H spectra indicates the rise in sample temperature caused by the SE-SAMPI4 pulse sequence. Subsequently, we estimated the temperature variations caused by RF heating by projecting the measured 1H chemical shift of H2O on the calibration curve. These experiments were repeated for different recycle delays, keeping the t1 acquisition period at 3.1 ms and the t2 acquisition time at 10 ms. These parameters are typically used for SLF experiments 28. As shown in Figure 1b, the actual temperature of the sample increased during the execution of the SE-SAMPI4 experiment and reached a thermal equilibrium after 2 min, which corresponds to a total number of scans ranging from 40 to 80. The temperature changes were 9.6, 7.3, 6.1, and 5.2 °C for recycle delays of 1.5, 2.0, 2.5, and 3.0 s, respectively, confirming that the heat generation is rather significant in spite the use of low-E probes29. Surprisingly, RF heating is quite significant even for longer recycle delays.

Figure 1. Quantification of sample heating by SLF experiments.

Figure 1.

a) Calibration curve using H2O in the bicelle sample at different temperatures. The 1H chemical shift of H2O is measured using a single pulse experiment. b) Temperature increase caused by SE-SAMPI4 experiment measured at different recycle delays. The red, orange, green, and blue colors represent the data points acquired with 1.5 s, 2.0 s, 2.5 s, and 3.0 s recycle delays. For these experiments, 3.1 and 10 ms acquisition times for t1 and t2 were used. The VT gas temperature was set as 25 °C. c) Temperature change caused by homonuclear decoupling during the t1 acquisition period for the SE-SAMPI4 experiment. The red and green colors used for circles and dashed lines represent the experimental data and the fitting curve for SE-SAMPI4 experiments acquired with 1.5 and 3.0 recycle delays, respectively. The VT gas temperature was set as 25 °C.

During t1 dipolar coupling evolution of the SE-SAMPI4 experiment, 1H and 15N RF amplitudes are set to 62.5 kHz that corresponds to a dwell time of 64 µs, and the number of t1 increments is typically set between 25 and 40. To determine the heat generation during the variable t1 increments of SE-SAMPI4 pulse sequence, we performed a series of SE-SAMPI4 experiments with different t1 evolution periods. Each SE-SAMPI4 experiment was executed in between two 1H one-pulse experiments for 5 min to allow the sample to reach a temperature plateau. The t2 acquisition time was set to 10 ms and two recycle delays, 3 and 1.5 s, were tested. When the acquisition time was set to zero, the temperature increase was significantly lower, i.e., 1.2 and 2.7 °C for 3 and 1.5 s recycle delays, respectively (Figure 1c). On the other hand, a dramatic temperature increase was detected by lengthening the t1 acquisition period for both recycle delays, supporting that the homonuclear decoupling during the t1 acquisition is the major source of RF heating. Although the t1 is much shorter than the t2 acquisition time, the simultaneous high-amplitude irradiation on both 1H and 15N channels generates significant RF heating. These results also reveal that the temperature during the course of the SE-SAMPI4 experiment is not constant but increases with t1 increments. Since the degree of alignment for bicelles samples is highly sensitive to temperature changes4143, these temperature variations affect both sample stability and spectral quality. To determine the latter effects, we acquired a series of SE-SAMPI4 spectra for SLN in DMPC/POPC/DHPC bicelles at 20, 27, and 35 °C. To minimize the effects of the temperature fluctuation, the recycle delay was set to 5 s. As shown in Figure 2b, the spectra of SLN display the typical PISA wheel observed both in bicellar preparations and mechanically aligned plates 44,45. However, the amide resonances of the fingerprint shifted toward the isotropic values of both 15N chemical shifts and 15N-1H dipolar couplings, indicating that as the temperature increases the bicelle/protein complex undergoes faster rotational diffusion46,47. Therefore, similar spectral changes are expected for RF heating.

To overcome these temperature variations, we implemented a heat compensation element in the original SE-SAMPI4 experiment (hcSE-SAMPI4) by adding a t1 pulse sequence block of length (T-t1) after t2 acquisition period. As the time of t1 evolution increases, the (T-t1) period decreases accordingly and keeps the total time to constant ‘T’ for all t1 increments (Figure 3c) 48. This constant-time element holds the temperature constant throughout the course of the experiment, while making the irradiation time the same for the different t1 increments. Wang and Bax used a similar strategy to minimize the effects of RF heating in multidimensional solution NMR experiments 48. In practice, it is not necessary to build the entire calibration curve to set up the experiment at a specific temperature. For our experiments, we fixed the variable temperature (VT) unit at the target temperature and acquired a 1D 1H spectrum of H2O as a reference. Then, we decreased the temperature of the VT unit by a few degrees and executed several dummy scans for approximately 5 min using the hcSE-SAMPI4 pulse sequence. Immediately after, we acquired a second 1H spectrum and compared the 1H chemical shift with the reference spectrum and adjusted the VT temperature in a stepwise manner until we matched the values of the reference H2O chemical shift. Figure 4 shows the comparison of the SE-SAMPI4 and hcSE-SAMPI4 spectra of SLN recorded with a t1 acquisition period of 3.1 ms and a recycle delay of 1.5 s. Figure 4a shows the overall SE-SAMPI4 spectrum is affected by the temperature variations. Due to the combination of the chemical shifts and dipolar coupling changes, several peaks more susceptible to temperature changes resemble asymmetric ellipses. This effect is accentuated for the most flexible residues of SLN. For instance, we observed the clear splitting of the resonances corresponding to Leu8 and Ser28 located at the N- and C-terminus portions of the polypeptide, respectively. In contrast, the corresponding hcSE-SAMPI4 spectrum acquired with identical parameters did not show any distortion of the resonance line-shapes (Figure 4b). Importantly, we observed an average increase of 20% in the S/N ratio, with up to 40% increase for the most dynamic residues (Figure 4d).

Figure 4. Comparison of SAMPI4 experiments with and without heat-compensation.

Figure 4.

a) SE-SAMPI4 spectrum, and b) hcSE-SAMPI4 spectrum of SLN acquired at 20 °C and 17 °C respectively with 1.5 s recycle delay. The actual sample temperature changes from 22 °C to 30 °C for the SE-SAMPI4 experiment as the number of t1 point increases. In contrast, the sample temperature is constant at 26 °C during the hcSE-SAMPI4 experiment. The arrows in the SE-SAMPI4 spectrum indicate the most affected residues. c) Overlap of the 1D projections of the 2D SE-SAMPI4 (blue) and 2D hcSE-SAMPI4 (red) spectra to visualize the overall improvement of the sensitivity. d) Comparison of signal-to-noise (S/N) ratios of SE-SAMPI4 (blue bars) and hcSE-SAMPI4 (red bars) spectra for each residue. The S/N ratios for the overlapping peaks in the 2D spectra are not shown. The average S/N ratios for SE-SAMPI4 and hcSE-SAMPI4 spectra are 3.9 and 4.7, respectively.

DISCUSSION

While for ultra-fast MAS it is possible to use low RF power (~10 kHz) for heteronuclear dipolar decoupling 49, MAS-ssNMR at moderate speeds and OS-ssNMR experiments still require high-power decoupling in order to achieve line narrowing. However, high-power decoupling gives rise to significant RF heating in spite of the use of E-free or Low-E probes. For OS-ssNMR, the RF heating effect is strongly amplified due to the simultaneous irradiation on both 1H and 15N channels during t1 homonuclear decoupling. Therefore, it is necessary to lengthen the recycle delays for RF heat dissipation up to 3–5 s. Nonetheless, the RF heating is not homogeneous throughout the pulse sequences and these temperature variations cause significant distortions in the line-shapes. This is especially true for membrane proteins reconstituted in lipid bicelles. Notably, the CP scheme, which also irradiates on both 1H and 15N channels simultaneously, is another source of heat generation in the pulse sequence 50. However, it does not introduce any temperature variation because the same amplitude and duration are used for all t1 increments. Low power PISEMA experiments (PITANSEMA) developed by Ramamoorthy and co-workers can be a good alternative for studying liquid crystals with dramatic heat reduction 51. However, these pulse sequences lead to poor dipolar line widths for membrane proteins. The RF heating problem is exacerbated when bicelle preparations of membrane proteins are doped with Cu2+-chelated lipids that are used to speed up the longitudinal relaxation times and reduce the total experimental time. In fact, Cu2+-chelated lipids increase the ionic strength and contribute to heat generation as reported by Ramamoorthy and co-workers26. Because of the thermotropic nature of the bicelles 52,53, their magnetic alignments and dynamics are significantly influenced by temperature changes, resulting in distorted line-shapes that reflect chemical shift and dipolar coupling variations during the acquisition of the SLF experiment. Heat-compensation schemes have been widely used in solution NMR and constitute an efficient method to eliminate the thermal inhomogeneity particularly for triple-resonance and Carr-Purcell-Meiboom-Gill (CPMG) experiments 48,54. The extension of heat-compensation elements to the OS-ssNMR pulse sequences achieves similar effects and provides a reliable temperature control. In our hands, this implementation is critical to obtain higher quality and more sensitive SLF spectra of membrane proteins without resonance distortions. The latter made it possible to gain an average S/N ratio of 20%, with an enhancement for individual resonances up to 40%. Although the sensitivity improvement is expected to be less for OS-ssNMR experiments with shorter t1 acquisition time or longer recycle delays, the heat-compensated SLF are still recommended for sample stability. Furthermore, the temperature variations are sample-dependent as the magnitude of the heat generated depends on the experimental factors such as salt, concentration of lipids, concentration of the protein, etc., thus we suggest to perform a calibration for each bicelle sample to estimate the need and extent of the temperature corrections to use.

CONCLUSIONS

In conclusion, we propose a heat-compensated version of the SE-SAMPI4 pulse sequence to mitigate temperature fluctuations during the execution of the OS-ssNMR experiment. The new experiment eliminates lineshape distortions and improves the sensitivity of the chemical shift anisotropy/dipolar coupling correlated spectra. Similar modifications can be easily implemented for all the SLF experiments such as polarization inversion spin exchange at magic angle (PISEMA) and heteronuclear isotropic mixing separated-local-field (HIMSELF) experiments, as well as 3D SE-SLF-HETCOR and SE-SLF-PDSD. The combination of PRE-assisted fast collection of NMR data with heat-compensated SLF experiment not only speeds up the acquisition of 2D and 3D OS-ssNMR experiments, but also provides a constant temperature environment thereby improving sample stability and spectral quality.

ACKNOWLEDGEMENTS

This research is supported by the National Institute of Health (GM 64742 and HL 144130 to G.V.). The authors would like to acknowledge Dr. Peter Gor’kov from the National High Magnetic Fields Laboratory in Florida, Prof. Alex Nevzorov from NCSU, and Dr. Daniel Weber for helpful discussions.

Footnotes

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REFERENCE

  • 1.Hong M, Zhang Y & Hu F Membrane Protein Structure and Dynamics from NMR Spectroscopy. Annual Review of Physical Chemistry 63, 1–24 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Wang S & Ladizhansky V Recent advances in magic angle spinning solid state NMR of membrane proteins. Progress in Nuclear Magnetic Resonance Spectroscopy 82, 1–26 (2014). [DOI] [PubMed] [Google Scholar]
  • 3.Gustavsson M et al. Allosteric regulation of SERCA by phosphorylation-mediated conformational shift of phospholamban. Proceedings of the National Academy of Sciences 110, 17338–17343 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Rovó P et al. Mechanistic Insights into Microsecond Time-Scale Motion of Solid Proteins Using Complementary 15N and 1H Relaxation Dispersion Techniques. Journal of the American Chemical Society 141, 858–869 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Quinn CM et al. Dynamic regulation of HIV-1 capsid interaction with the restriction factor TRIM5α identified by magic-angle spinning NMR and molecular dynamics simulations. Proceedings of the National Academy of Sciences 115, 11519–11524 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Das N, Murray DT & Cross TA Lipid bilayer preparations of membrane proteins for oriented and magic-angle spinning solid-state NMR samples. Nat Protoc 8, 2256–70 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Ding Y, Yao Y & Marassi FM Membrane protein structure determination in membrana. Acc Chem Res 46, 2182–90 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Opella SJ & Marassi FM Applications of NMR to membrane proteins. Arch Biochem Biophys 628, 92–101 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yao Y, Ding Y, Tian Y, Opella SJ & Marassi FM Membrane protein structure determination: back to the membrane. Methods Mol Biol 1063, 145–58 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Qiang W, Yau W-M, Lu J-X, Collinge J & Tycko R Structural variation in amyloid-β fibrils from Alzheimer's disease clinical subtypes. Nature 541, 217 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Han Y et al. Magic Angle Spinning NMR Reveals Sequence-Dependent Structural Plasticity, Dynamics, and the Spacer Peptide 1 Conformation in HIV-1 Capsid Protein Assemblies. Journal of the American Chemical Society 135, 17793–17803 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Wang S & Ishii Y Revealing Protein Structures in Solid-Phase Peptide Synthesis by 13C Solid-State NMR: Evidence of Excessive Misfolding for Alzheimer’s β. Journal of the American Chemical Society 134, 2848–2851 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kwon B, Lee M, Waring AJ & Hong M Oligomeric Structure and Three-Dimensional Fold of the HIV gp41 Membrane-Proximal External Region and Transmembrane Domain in Phospholipid Bilayers. Journal of the American Chemical Society 140, 8246–8259 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zhou H-X & Cross TA Influences of Membrane Mimetic Environments on Membrane Protein Structures. Annual Review of Biophysics 42, 361–392 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Gopinath T, Mote KR & Veglia G Sensitivity and resolution enhancement of oriented solid-state NMR: application to membrane proteins. Progress in nuclear magnetic resonance spectroscopy 75, 50–68 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Gayen A, Banigan JR & Traaseth NJ Ligand-Induced Conformational Changes of the Multidrug Resistance Transporter EmrE Probed by Oriented Solid-State NMR Spectroscopy. Angewandte Chemie International Edition 52, 10321–10324 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Hansen SK, Bertelsen K, Paaske B, Nielsen NC & Vosegaard T Solid-state NMR methods for oriented membrane proteins. Prog Nucl Magn Reson Spectrosc 88–89, 48–85 (2015). [DOI] [PubMed] [Google Scholar]
  • 18.Can TV et al. Magic Angle Spinning and Oriented Sample Solid-State NMR Structural Restraints Combine for Influenza A M2 Protein Functional Insights. Journal of the American Chemical Society 134, 9022–9025 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Cady SD et al. Structure of the amantadine binding site of influenza M2 proton channels in lipid bilayers. Nature 463, 689 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Vostrikov Vitaly V., Mote Kaustubh R., Verardi R & Veglia G Structural Dynamics and Topology of Phosphorylated Phospholamban Homopentamer Reveal Its Role in the Regulation of Calcium Transport. Structure 21, 2119–2130 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wickramasinghe NP et al. Nanomole-scale protein solid-state NMR by breaking intrinsic 1HT1 boundaries. Nature methods 6, 215–218 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wang S, Matsuda I, Long F & Ishii Y Spectral editing at ultra-fast magic-angle-spinning in solid-state NMR: facilitating protein sequential signal assignment by HIGHLIGHT approach. Journal of Biomolecular NMR 64, 131–141 (2016). [DOI] [PubMed] [Google Scholar]
  • 23.Linser R, Chevelkov V, Diehl A & Reif B Sensitivity enhancement using paramagnetic relaxation in MAS solid-state NMR of perdeuterated proteins. Journal of Magnetic Resonance 189, 209–216 (2007). [DOI] [PubMed] [Google Scholar]
  • 24.Wang S et al. Nano-mole scale sequential signal assignment by 1H-detected protein solid-state NMR. Chemical Communications 51, 15055–15058 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Liu C, Liu J, Xu X, Xiang S & Wang S Gd3+-chelated lipid accelerates solid-state NMR spectroscopy of seven-transmembrane proteins. Journal of Biomolecular NMR 68, 203–214 (2017). [DOI] [PubMed] [Google Scholar]
  • 26.Yamamoto K, Xu J, Kawulka KE, Vederas JC & Ramamoorthy A Use of a Copper-Chelated Lipid Speeds Up NMR Measurements from Membrane Proteins. Journal of the American Chemical Society 132, 6929–6931 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Dvinskikh SV, Yamamoto K, Durr UH & Ramamoorthy A Sensitivity and resolution enhancement in solid-state NMR spectroscopy of bicelles. J Magn Reson 184, 228–35 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Wang S, Gopinath T & Veglia G Application of paramagnetic relaxation enhancements to accelerate the acquisition of 2D and 3D solid-state NMR spectra of oriented membrane proteins. Methods 138–139, 54–61 (2018). [DOI] [PMC free article] [PubMed]
  • 29.Gor’kov PL et al. Using low-E resonators to reduce RF heating in biological samples for static solid-state NMR up to 900 MHz. J Magn Reson 185, 77–93 (2007). [DOI] [PubMed] [Google Scholar]
  • 30.Stringer JA et al. Reduction of RF-induced sample heating with a scroll coil resonator structure for solid-state NMR probes. Journal of Magnetic Resonance 173, 40–48 (2005). [DOI] [PubMed] [Google Scholar]
  • 31.Nevzorov AA & Opella SJ Selective averaging for high-resolution solid-state NMR spectroscopy of aligned samples. J Magn Reson 185, 59–70 (2007). [DOI] [PubMed] [Google Scholar]
  • 32.Gopinath T, Verardi R, Traaseth NJ & Veglia G Sensitivity Enhancement of Separated Local Field Experiments: Application to Membrane Proteins. The Journal of Physical Chemistry B 114, 5089–5095 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Buffy JJ et al. Defining the Intramembrane Binding Mechanism of Sarcolipin to Calcium ATPase Using Solution NMR Spectroscopy. Journal of Molecular Biology 358, 420–429 (2006). [DOI] [PubMed] [Google Scholar]
  • 34.Tupling AR, Asahi M & MacLennan DH Sarcolipin overexpression in rat slow twitch muscle inhibits sarcoplasmic reticulum Ca2+ uptake and impairs contractile function. Journal of Biological Chemistry 277, 44740–44746 (2002). [DOI] [PubMed] [Google Scholar]
  • 35.Odermatt A et al. Sarcolipin regulates the activity of SERCA1, the fast-twitch skeletal muscle sarcoplasmic reticulum Ca2+-ATPase. Journal of Biological Chemistry 273, 12360–12369 (1998). [DOI] [PubMed] [Google Scholar]
  • 36.Mascioni A, Karim C, Barany G, Thomas DD & Veglia G Structure and Orientation of Sarcolipin in Lipid Environments. Biochemistry 41, 475–482 (2002). [DOI] [PubMed] [Google Scholar]
  • 37.Buck B et al. Overexpression, purification, and characterization of recombinant Ca-ATPase regulators for high-resolution solution and solid-state NMR studies. Protein Expression and Purification 30, 253–261 (2003). [DOI] [PubMed] [Google Scholar]
  • 38.Ammann C, Meier P & Merbach A A simple multinuclear NMR thermometer. Journal of Magnetic Resonance (1969) 46, 319–321 (1982). [Google Scholar]
  • 39.Hindman JC Proton Resonance Shift of Water in the Gas and Liquid States. The Journal of Chemical Physics 44, 4582–4592 (1966). [Google Scholar]
  • 40.Dvinskikh SV, Yamamoto K, Dürr UHN & Ramamoorthy A Sensitivity and resolution enhancement in solid-state NMR spectroscopy of bicelles. Journal of magnetic resonance (San Diego, Calif. : 1997) 184, 228–235 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Prosser RS, Evanics F, Kitevski JL & Al-Abdul-Wahid MS Current applications of bicelles in NMR studies of membrane-associated amphiphiles and proteins. Biochemistry 45, 8453–65 (2006). [DOI] [PubMed] [Google Scholar]
  • 42.Sanders CR & Prosser RS Bicelles: a model membrane system for all seasons? Structure 6, 1227–34 (1998). [DOI] [PubMed] [Google Scholar]
  • 43.Sanders CR, Hare BJ, Howard KP & Prestegard JH Magnetically-Oriented Phospholipid Micelles as a Tool for the Study of Membrane-Associated Molecules. Progress in Nuclear Magnetic Resonance Spectroscopy 26, 421–444 (1994). [Google Scholar]
  • 44.Mote KR et al. Multidimensional oriented solid-state NMR experiments enable the sequential assignment of uniformly 15N labeled integral membrane proteins in magnetically aligned lipid bilayers. J Biomol NMR 51, 339–46 (2011). [DOI] [PubMed] [Google Scholar]
  • 45.Buffy JJ et al. Two-Dimensional Solid-State NMR Reveals Two Topologies of Sarcolipin in Oriented Lipid Bilayers. Biochemistry 45, 10939–10946 (2006). [DOI] [PubMed] [Google Scholar]
  • 46.Nevzorov AA, DeAngelis AA, Park SH & Opella SJ Uniaxial motional averaging of the chemical shift anisotropy of membrane proteins in bilayer environments. in NMR Spectroscopy in Biological Solids (ed. Ramamoorthy A) (Taylor and Francis, 2005). [Google Scholar]
  • 47.Page RC, Kim S & Cross TA Transmembrane helix uniformity examined by spectral mapping of torsion angles. Structure 16, 787–97 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Wang AC & Bax A Minimizing the effects of radio-frequency heating in multidimensional NMR experiments. Journal of Biomolecular NMR 3, 715–720 (1993). [DOI] [PubMed] [Google Scholar]
  • 49.Wickramasinghe A et al. Evolution of CPMAS under fast magic-angle-spinning at 100kHz and beyond. Solid State Nuclear Magnetic Resonance 72, 9–16 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Koroloff SN & Nevzorov AA Optimization of cross-polarization at low radiofrequency fields for sensitivity enhancement in solid-state NMR of membrane proteins reconstituted in magnetically aligned bicelles. Journal of Magnetic Resonance 256, 14–22 (2015). [DOI] [PubMed] [Google Scholar]
  • 51.Lee DK, Narasimhaswamy T & Ramamoorthy A PITANSEMA, a low-power PISEMA solid-state NMR experiment. Chemical Physics Letters 399, 359–362 (2004). [Google Scholar]
  • 52.Dürr UHN, Gildenberg M & Ramamoorthy A The Magic of Bicelles Lights Up Membrane Protein Structure. Chemical Reviews 112, 6054–6074 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Katsaras J, Harroun TA, Pencer J & Nieh M-P “Bicellar” Lipid Mixtures as used in Biochemical and Biophysical Studies. Naturwissenschaften 92, 355–366 (2005). [DOI] [PubMed] [Google Scholar]
  • 54.Yip GNB & Zuiderweg ERP Improvement of duty-cycle heating compensation in NMR spin relaxation experiments. Journal of Magnetic Resonance 176, 171–178 (2005). [DOI] [PubMed] [Google Scholar]

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