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* Oxford University Biomembrane Structure Unit, Department of Biochemistry, Oxford OX1 3QU, United Kingdom; and
Centre for Biomolecular Magnetic Resonance and Institut für Biophysikalische Chemie, J. W. Goethe Universität, D-60439 Frankfurt, Germany
Correspondence: Address reprint requests to Anthony Watts, Oxford University Biomembrane Structure Unit, Dept. of Biochemistry, South Parks Rd., Oxford OX1 3QU, UK. Tel: +44-1865-275268; Fax: +44-1865-275234; E-mail: awatts{at}bioch.ox.ac.uk.
| ABSTRACT |
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| INTRODUCTION |
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A number of solid-state NMR approaches have been used to successfully study oriented membrane proteins and peptides. Static two-dimensional techniques (e.g., polarization inversion spin exchange at the magic angle (PISEMA) and heteronuclear correlation; Ramamoorthy et al., 1999
) have been applied to obtain orientational information on the basis of the 15N chemical shift and the 15N-1H dipolar interaction and have lead to the determination of the first three-dimensional structure of a membrane protein by solid-state NMR in the Protein Data Bank (1MAG.pdb; Ketchem et al., 1996
). The resolution achievable in these experiments is, however, often limited and depends heavily on the degree of orientation of the membrane sample. Spectral overlap limits the numbers of residues that can be studied within the protein of interest. Magic angle sample spinning (MAS) can be used as an alternative method. It has the advantage that, in some cases, MAS yields better resolved and higher sensitivity spectra than the static approach, and individual residues of interest may be resolved and identified using MAS NMR methods. Due to the averaging of second rank tensor interactions, however, orientational information is lost when using MAS. Recently, it has been proposed to use a combined methodology, whereby MAS is used in conjunction with sample orientation. In the magic angle oriented sample spinning (MAOSS) approach (Glaubitz and Watts, 1998
), the spinning frequency is chosen so as not to exceed the chemical shift anisotropy (CSA). As a result, the broad powder pattern transforms itself into a set of narrow, well resolved spinning sidebands around the isotropic chemical shift. The intensity of each of these sidebands depends on the size of the interaction tensor (Herzfeld and Berger, 1980
; De Groot et al., 1991
) and has an additional orientational dependence. This dependence allows the measurement of the tensor orientation with respect to the sample director. The application of MAOSS to a number of systems (Glaubitz et al., 1999
, 2000
; Gröbner et al., 2000
) has demonstrated the usefulness of this technique in answering structural questions for membrane proteins and peptides.
Here, selective 15N labeling of a limited number of residues, all of one type (Fig. 1), permits multiple orientational constraints to be obtained for a set of residues from a protein in its membrane environment. The MAOSS technique is applied to resolve multiple resonances for specifically 15N-methionine labeled bacteriorhodopsin in purple membranes (PM) and to determine the orientation of the principal axes of the 15N chemical shift anisotropy tensors with respect to the membrane normal. Such a data set can form part of a set of constraints for structure modeling irrespective of the availability of any residue assignments (Marassi and Opella, 2003
). The identification of individual residues within a multiply labeled sample and the determination of orientational constraints for each site will allow the use of specific labeling to follow key residues as reporters of structural and functional information within a biological membrane in a nonperturbing way, analogous to site directed mutagenesis approaches.
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| MATERIALS AND METHODS |
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To prepare oriented samples, the membranes (0.2 mg protein in 25 µl buffered D2O for each plate, making a total of 9.5 mg bR) were spread evenly over 47 round, 0.07 mm thin glass plates with a diameter of 5.4 mm (Marienfeld GmbH, Lauda-Königshofen, Germany). Through controlled evaporation (91% humidity, room temperature, 2 days) these samples produced uniaxial films with good orientation of the purple membrane patches parallel to the sample plane. The plates were loaded into 7-mm Bruker (Karlsruhe, Gemany) MAS rotors and hydrated over a period of a few days by inverting the sealed rotors with a drop of saturated KNO3 solution in the cap and alternately storing the rotor at 4° and 37°C. This process, as followed by static oriented 31P spectroscopy, produces well-hydrated, oriented membranes that retain adhesion to the glass plates under MAS conditions. Powder samples were pelleted from distilled water and centrifuged into either 7-mm or 4-mm Bruker MAS rotors. Static oriented samples were produced similarly to the discs. A quantity of 0.4 mg protein in 120 µl distilled water was applied to 8-mm x 10-mm rectangular glass plates. Two applications were made and with 25 glass plates a total of 20 mg bacteriorhodopsin was prepared for static NMR experiments.
NMR experiments
Static NMR experiments were performed at 40.54 MHz for 15N on a Bruker DSX 400 spectrometer, using a static probe. Cross-polarization (CP) experiments were performed at 253 K with 32-k acquisitions. A 200-Hz line broadening was applied to the free induction decays (FIDs) during processing. 15N MAS and MAOSS experiments were performed at 40.54 MHz for 15N on a Bruker Avance 400 equipped with 7-mm direct variable temperature-MAS probes. A recycle delay of 1 s was used with a contact time of 1 ms and an acquisition time of 48 ms. Optimized 80100% ramped cross-polarization experiments using two pulse phase modulated (TPPM) decoupling (45-kHz 1H field) were performed at 253 K at spinning frequencies of 2.5, 2.0, and 1.5 kHz. Samples were frozen before MAS was started to maintain sample stability under spinning conditions. The FIDs were processed with 8-k points and no line broadening before Fourier transformation. Processed spectra were deconvoluted to give sideband families for five resonances. For assignment purposes CPMAS spectra were acquired for purple membrane samples purified from both wild-type and single site mutant M20V. 15N CPMAS experiments were performed at 60.82 MHz for 15N on a Bruker Avance 600 equipped with 4-mm DVT-MAS probes. A recycle delay of 1 s was used with a contact time of 1 ms, an acquisition time of 49 ms, and a spectral width of 50 kHz. Optimized 80100% ramped cross-polarization experiments again using two pulse phase modulated decoupling (62.5-kHz 1H field) were performed at 253 K at a spinning frequency of 8 kHz. FIDs were processed with 16-k points and no line broadening before Fourier transformation. 15N chemical shifts were measured relative to an external standard of solid (NH4)2SO4 at 25 ppm.
Spectral simulation
In-house computer programs employing the GAMMA C++ library were used (Glaubitz and Watts, 1998
) to compare the experimental spectra with spectra simulated for various 15N CSA tensor orientations and mosaic spreads. The Floquet treatment (Levante et al., 1995
) was used to obtain MAS spectra after successive rotations of the 15N CSA tensor from its principle axis frame (PAS) first into the director frame (DF) (Fig. 2), with the z axis aligned along the local membrane normal. A second rotation from the director frame into the rotor fixed frame (RF) accounts for the mosaic spread and azimutal freedom in the uniaxially oriented sample, where a 3D-Gaussian distribution
was assumed for the angle ßDR between director and rotor axis (
ß measures the amount of mosaic spread), and an averaging over 5000 spectra was performed. A CSA value of
33 -
iso = 105.2 ppm, based on the average value obtained from the MAS spectra, was employed for the simulations. The tensor element
33 (least shielded) is aligned in the plane of the NH bond and at an angle of around 16.6° for helical and for 13.9° for loop residues (Fushman et al., 1998
) and is collinear with the z axis of the CSA principal axis system. The simulations are also sensitive to the asymmetry parameter
that was determined as
= 0 from the MAS spectrum that identifies the tensors as being approximately axially symmetric. Within the range 0 <
< 0.2, however, no significant dependence of the simulated sideband patterns on
was observed. This way, MAOSS spectra for a single 15N site were computed for ßPD ranging from 0° to 90° in steps of 2° and mosaic spread
ß ranging from 0° to 30° in steps of 2°. They were compared to the isolated sideband pattern of each of the resolved lines of the experimental MAOSS spectrum, gained by fitting the respective peaks with Lorentzian lines.
2 values were used to quantify the difference between experimental data and simulation, and to obtain a best-fit value for the orientation ßPD and the mosaic spread
ß. A cutoff value for
2 of 10% above the respective
2 minimum was chosen to select the ranges for ßPD and
ß in good agreement with the experimental data.
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| RESULTS |
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2 plot of ßPD against
ß gives a clear minimum for the correct value of ßPD. An example for resonance A is shown in Fig. 6 where a clear minimum corresponding to a mosaic spread of 18° and an angle for ßPD of 14°. Angular information for all five deconvoluted resonances is given in Table 2.
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| DISCUSSION |
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Currently the method of choice for studying orientations in multiply labeled membrane peptides by NMR involves 2D experiments applied to static oriented membrane films (Opella et al., 2002
). In such experiments the specific orientation of an NH bond, for example, is revealed by the dipolar or anisotropic chemical shift. The resolution obtainable is improved by performing experiments at increasing magnetic field strengths. Polarization inversion spin exchange at the magic angle is a more precise approach (assuming optimal experimental set up; Gan, 2000
) than the MAOSS method proposed here, where signal intensities are measured, however the resolution available in the static experiment is limited by the size of the spectral line widths. For membrane proteins that do not orient so well on glass plates, such as in our experience larger proteins or those with considerable extramembrane domains (Gröbner et al., 1997
), spectral overlap due to inhomogeneous line broadening is likely to hamper resolution of individual resonances from multiply labeled samples. This inhomogeneous line broadening is due to mosaic spread and is not improved by performing experiments at higher magnetic fields. In the MAOSS approach the spectral line widths are not dependent on mosaic spread, the major contributions to line broadening coming from insufficient averaging of dipolar couplings or intermediate motions on the NMR timescale. Thus for large proteins or proteins that have poor macroscopic orientation the MAOSS approach, in which slow spinning averages the mosaic spread, may be considered more suitable.
A further benefit of a MAS approach is the retention of the isotropic chemical shift information that is not observable in static oriented samples. In this case, though assignment is usually a considerable problem in solid-state NMR, it is possible to use the isotropic chemical shifts of the resolved resonances to allow a comparison with samples containing single site mutations. Apart from the need to obtain protein samples other than wild type, the assignment is straightforward from the NMR data and was possible, under MAS conditions, using only very small quantities of labeled material (12 mg protein). The improved sensitivity of the MAS approach when compared with a standard static approach allows spectra to be acquired relatively quickly and on smaller quantities of labeled material. This is an important consideration when working with labeled membrane proteins that are typically not available in large amounts.
At relatively slow spinning frequencies (5 kHz) CPMAS NMR spectra of 15N-methionine labeled purple membrane (Fig. 4) allow sufficient resolution of five resonances with a further three resonances appearing as shoulders. This resolution is significantly better than using simple 1D static oriented methods and reveals, in addition, the isotropic chemical shifts of the amide nitrogens. Similarly good resolution is obtained at slower spinning frequencies (2.5, 2.0, and 1.5 kHz) where, in addition, resonances in spinning sideband families can be resolved. Subsequent experiments at higher spinning speeds and magnetic field strength provide improved resolution, and two resonances can now be observed that give rise to only one broad resonance (C) in the MAOSS experiment (Fig. 7, top). The higher spinning frequencies (8 kHz) required for improved resolution in MAS prevent meaningful MAOSS spectra being acquired since the essential sidebands are removed; however, the information revealed by the complete resolution of all nine resonances is important for a number of reasons. Firstly, a total of nine peaks suggests that, as in previous studies (Seigneuret et al., 1991
), the labeling was successful and that no significant scrambling of the 15N label occurred. Secondly, complete resolution of the nine resonances is crucial in understanding the relative intensities attributable to different residues. Resonances from the nine methionine residues have significantly differing intensities in the 1D CPMAS (Fig. 4) spectra presented here. Further spectra were acquired over a range of temperatures and contact times and the intensities of the individual resonances varied (data not shown), likely due to the dependence of cross-polarization and heteronuclear decoupling efficiencies on molecular dynamics. The relatively poor sensitivity of 15N spectroscopy restricted our experiments to conditions of optimal sensitivity for the five most intense resonances. CPMAS experiments performed with single site mutants of the two loop residues (M68K and M163C) have shown that resonance intensities attributable to these mutated residues are much lower in comparison with resonances from residues embedded in the transmembrane helices (Mason, 2001
). Small reductions in intensity were seen in the region around 121 ppm in spectra acquired for membrane samples prepared from these mutants, and the subsequent removal of these small intensities in samples prepared from D2O (Fig. 4) indicate that these resonances (122.6, 122.0, and 120.9 ppm) could be attributable to the three methionine residues on the surface of the protein (Met-32, Met-68, and Met-163) and that the residues themselves are not involved in hydrogen bonding. The intensities of these three resonances are too low for sideband families to be satisfactorily determined in samples prepared from buffered water, and so their contribution to the other, more intense resonances was removed by using samples prepared from buffered D2O. In this process, membranes are suspended in buffered D2O and rehydrated in a controlled D2O atmosphere exposing amide protons from residues in loops at the surface of the protein to the aqueous environment. These amide protons are able to exchange with deuterons, whereas those that are buried in the membrane or, involved in secondary structure hydrogen bonding, remain protonated (Downer et al., 1986
). Met-68 is shown in a high resolution electron diffraction structure of the surface of bacteriorhodopsin as being part of a ß-sheet in the BC loop (Kimura et al., 1997
); however, it is not involved in hydrogen bonding and infrared analysis of bacteriorhodopsin secondary structure has suggested the presence of disturbed ß-structure (Downer et al., 1986
). It is likely, therefore, that the amide proton of Met-68 can be exchanged in the presence of D2O. The only other difference for the isotropic resonances between the MAOSS sample in D2O and the MAS spectrum in H2O was a very slight downfield shift of the resonance at 125.4 ppm. Such a shift was also observed, however, for MAOSS samples in H2O (data not shown) and is not thought to be a result of deuterium exchange. The samples are frozen during the NMR experiments and further exchange does not occur over the 24-h period in which each spectrum is acquired. Since CPMAS uses magnetization transfer from protons to enhance the 15N signal any residues that are now deuterated will be absent or significantly reduced from the resulting spectrum (Reif et al., 2001
). Deuterium exchange performed on bacteriorhodopsin solubilized in n-dodecylmaltoside (Seigneuret and Kainosho, 1993
) identified Met-32, Met-68, and Met-163 as being exchangeable on the basis of upfield shifts of the methionine 13CO resonances attributed to these residues. These results are in agreement, therefore, with those presented here.
The good resolution obtained in the CP MAOSS experiment (Fig. 5) is vital in reducing errors and, with the exception of one resonance, there is little or no overlap of resonances. In the 15N CP MAOSS spectrum six residual resonances are expected after treating the membranes in D2O; however, only five resonances can be clearly resolved. From a comparison of resonance full widths at half height (FWHH; Table 1) for the resolved resonances it can be seen that resonance C at 119.8 ppm is unusually broad. In addition the data acquired at higher magnetic field strength and MAS frequency (Fig. 7) reveals two peaks at 120.1 and 119.7 ppm that are not resolved in the MAOSS 15N spectra, and hence it is clear that resonance C has a significant contribution from the sixth expected residual resonance.
2 plots of the difference between spectra generated by computer simulations and those deconvoluted from the MAOSS spectra show, in each case, an easily identifiable minimum revealing the best fit for angles of ßPD and mosaic spread (See Fig. 6 for resonance E. The
2 plots for the remaining residues are included as supplementary data). A combination of spectra obtained at more than one spinning speed narrowed the region of possible angles and was found to be important to the data analysis. The low number of spinning sidebands available as a consequence of the employed magnetic field strength and operable spinning frequency, and hence low amount of inherent orientational information, would otherwise lead to only poorly defined
2 minima. Mosaic spread, a measure of the quality of orientations of the sample, is in the range of 1418° for all but one residue. Variations in mosaic spread, from one site to another, is possible and is likely to be due to either variable conformational heterogeneity or motions in different regions of the protein. Resonance D has a best fit to a simulated spectrum with a much lower mosaic spread than would be expected. Increasing the mosaic spread though, in agreement with the other four resonances, does not change the solution for ßPD, and hence the reduced mosaic spread for this residue could be explained by reduced structural inhomogeneity in this region of the protein or, more likely, be an artifact arising from the narrow
2 minimum region.
Since we have sought to assign only one resonance in this study, a comparison of the determined structural constraints with available crystal structures is impracticable. The ability to identify numerous orientation constraints, however, has the potential to be used in a number of ways to obtain structural and functional information about membrane proteins. A data set as determined here could be used as part of an iterative modeling process, which, in combination with helix prediction programs and data sets from other labeled amino acids, could yield the backbone structure of a membrane embedded protein. The number of solvent accessible residues can also be assessed by the methods described here, and individual resonances can be assigned. The ability to resolve, select, and assign resonances from selectively labeled membrane proteins and obtain structural information as described for methionine 20, provides a valuable tool box for the membrane protein biophysicist. The resolution obtained renders MAOSS, in combination with specific labeling, a useful technique in the study of conformational changes at the molecular level and increases the applicability of structural solid-state NMR experiments to membrane proteins. Further improvements and adaptations of this technique are underway in our laboratories with a view to increasing the range of information that can be obtained and proteins that can be studied.
| ACKNOWLEDGEMENTS |
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This work was supported in Oxford by Medical Research Council program grant (G000852), Higher Education Funding Council of England Joint Research Equipment Initiative grants, 1996 and 1997, and a Biotechnology and Biological Sciences Research Council Professorial Research Fellowship to A.W., and in Frankfurt by Deutsche Forschungsgemeinschaft project CG 307/1-2. S.K.S. thanks the Royal Society for a Dorothy Hodgkin Research Fellowship, and S.L.G. gratefully acknowledges the DFG for an Emmy Noether Fellowship (GR 1975/1-1).
| FOOTNOTES |
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Submitted on August 1, 2003; accepted for publication December 22, 2003.
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