research papers
Combining X-ray and neutron crystallography with spectroscopy
aHenry Wellcome Laboratories for Structural Biology, Leicester Institute for Structural and Chemical Biology and Department of Molecular and Cell Biology, University of Leicester, Lancaster Road, Leicester LE1 7RH, England, and bLeicester Institute for Structural and Chemical Biology and Department of Chemistry, University of Leicester, University Road, Leicester LE1 7RH, England
*Correspondence e-mail: peter.moody@le.ac.uk
X-ray protein crystallography has, through the determination of the three-dimensional structures of enzymes and their complexes, been essential to the understanding of biological chemistry. However, as X-rays are scattered by electrons, the technique has difficulty locating the presence and position of H atoms (and cannot locate H+ ions), knowledge of which is often crucially important for the understanding of enzyme mechanism. Furthermore, X-ray irradiation, through photoelectronic effects, will perturb the redox state in the crystal. By using single-crystal spectrophotometry, reactions taking place in the crystal can be monitored, either to trap intermediates or follow during X-ray data collection. By using neutron crystallography, the positions of H atoms can be located, as it is the nuclei rather than the electrons that scatter neutrons, and the scattering length is not determined by the Combining the two techniques allows much greater insight into both and X-ray-induced photoreduction.
PDB references: PETN reductase, oxidized, 5lgx; reduced, 5lgz
1. Introduction
In biological processes, enzymes act as catalysts to increase the rate of reaction. These reactions always involve changes in energy and electron configurations. To understand these processes, we also need to be able to know the location of H atoms and how they are transferred between macromolecules, substrates and solvent molecules. The textbook
of a reaction will show peaks of transition states (of the highest energy or least stability) and troughs of intermediates (more stable than the transition states but still less stable than reactants or products). Unfortunately, this means that the most interesting states are the least stable and the hardest to study. For crystal structures to report on mechanism we need to establish how we can isolate and monitor intermediates in the crystal; this monitoring has to be able to not only establish that a trapped intermediate is stable during the time taken for crystallographic but also that the process of data collection itself does not change it. A clear understanding of the chemistry of an enzymatic reaction also needs knowledge of the positions of H atoms. Furthermore, computational analysis and simulations of enzyme mechanisms require a full description of hydrogen positions.2. Finding H atoms
X-ray crystallography relies on the scattering of X-rays by electrons; the scattering from an individual atom or ion is proportional to the number of electrons that it has. For crystallographic calculations the atomic electron density is described as a two-term or five-term Gaussian distribution [for further discussion, see the write-up for the CCP4 program SFALL (https://www.ccp4.ac.uk/html/sfall.html) and International Tables for Crystallography (2006)]. The neutral H atom has only one electron, but this will be shared when covalently bonded to a heavier atom; a positive hydrogen ion would have no electrons at all, although a discrete H+ ion will only have an evanescent existence. The problem of weak density is further compounded by the short length of a bond to an H atom (typically ∼1.1 Å), so resolving the very weak hydrogen electron density from a bonded `heavy' (i.e. non-H) atom requires sub-ångstrom data. Difference maps calculated using sub-ångstrom data clearly do show density from H atoms (for a recent review of what can be seen at atomic resolution, see Neumann & Tittmann, 2014). Unfortunately, such data are not often available. When errors and the smearing effects of atomic displacement are considered, it is not safe to assume that an absence of density correlates to the absence of a hydrogen at a point (for an example, see Fig. 1). The high X-ray dose required to obtain atomic resolution data may also have an effect on the chemistry of the protein being studied (see §3.2).
2.1. Derived H-atom positions
In the absence of atomic resolution X-ray data, some useful information may be derived by careful analysis of the chemistry and bond lengths of heavy atoms. If the sp3 tetrahedral C atom can be extrapolated from the direction of the bonds to adjacent heavy atoms. Of course this will not work if the protonation state is unknown. In the case of a carboxylic acid group, differing bond lengths between the O atoms and the carbon would indicate protonation and distinguish C=O from C—OH. The sensitivity of difference Fourier methods gives this a power beyond what might be expected from the resolution of the data (Ahmed et al., 2007).
of an atom can be confidently deduced, it may be possible to extrapolate the positions of H atoms. For example, the positions of the methylene H atoms of an2.2. Neutron crystallography
Neutrons of suitable energy (thermal neutrons) have de Broglie wavelengths (de Broglie, 1924) that are similar to those of X-rays; thus, a beam of neutrons can be used, like X-rays, to determine the three-dimensional structures within crystals. Unlike X-rays, neutrons are scattered by the nuclei rather than the electrons. The scattering cross-sections for neutrons depend on the nuclear rather than electron density (see Table 1). A consequence of this is that deuterium, with a positive scattering length, is easily distinguished from hydrogen (with a negative scattering length) and is of similar magnitude to the other atoms in biological macromolecules. Neutron crystallography therefore allows the direct observation of hydrogen and deuterium. Obtaining neutron crystallographic data is not, however, trivial. It is very slow, especially compared with X-ray data collection at a third-generation synchrotron (with individual exposures taking hours), and it requires large crystals of the order of 1 mm3 and a source of such as a or spallation source.
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The H atoms themselves also present complications. The negative scattering length of hydrogen (Table 1) is about half of the positive value for carbon, so the sum of a methylene (–CH2–) group will be near zero and, at medium to low resolution, this may be seen as a break in density. However, by also collecting X-ray diffraction data it is possible to refine structures simultaneously against both X-ray and neutron data. This is implemented in PHENIX and as a patch for CNS (nCNS; Adams et al., 2009). Although the CCP4 libraries do include the nuclear scattering factors, with neutron data using the CCP4 suite is not straightforward. H atoms also have a very large incoherent meaning that they contribute very strongly to the background noise in the diffraction images. However, it is possible to replace the exchangeable protons by equilibrating with D2O and, by producing recombinant protein from a deuterated carbon source (Shu et al., 2000), the non-exchangeable H atoms can also be replaced. The lack of radiation damage (see §3.2.3) by means that it has been normal practice to collect data at room temperature from crystals mounted in capillaries in the manner that was used for X-ray data collection before the use of cryoconditions became standard. Although this avoids problems arising from icing over long exposure times, it is unsuitable for studying labile intermediates that require cryo-trapping.
The power of neutron crystallography to show hydrogen positions and thus to understand enzyme mechanism is illustrated by the example of histidine. The side chain of this amino acid includes an imidazole ring with a pKa near neutrality. The ability of this group to accept and donate protons is key to its involvement in enzymatic catalysis. This of course includes the famous `catalytic triad' of the serine (Matthews et al., 1967). By H/D exchange with D2O the imidazole group will be either neutral and singly deuterated or positively charged and doubly deuterated. The nuclear density of these clearly shows the different ionization states (Fig. 2a and 2b). Water, which appears as a sphere of electron density from the O atom in X-ray data-derived maps, when substituted by D2O shows as a `banana' shape in the neutron maps (Fig. 2c). These observations allow hydrogen bonds to be assigned with confidence. For a fuller discussion of neutron protein crystallography, see Blakeley et al. (2015) and O'Dell et al. (2016).
3. Catching and verifying intermediates
As the most catalytically relevant and therefore informative states of the reaction pathway of an enzyme are expected to be the least stable, ways have to be found to follow reactions in the crystal and then to manipulate conditions such that these interesting states can be trapped and maintained for structural study.
3.1. Single-crystal spectroscopy
The usual method of studying enzyme reactions in solution is by electronic absorption or fluorescence spectroscopy in the UV or visible range. As a reaction proceeds and a substrate or cofactor changes its electronic state, its spectral signature changes, and in favourable cases this can be followed and analysed. The classic example is the increase in the 340 nm absorbance of NAD(P)H over NAD(P) that is used to follow dehydrogenase reactions (Krimsky & Racker, 1955).
This principle can be applied to crystals as well as solution, although there are some practical difficulties that need to be considered. The relatively small size of crystals means that the light beam needs to have an appropriately small et al., 2009). A crystal may act as a prism, refracting different wavelengths anisotropically and altering the spectrum as the crystal is rotated. The high concentration of protein in the crystal may result in the of some features of the spectrum being very high and therefore noisy or unmeasurable (e.g. the in haem proteins).
this is usually achieved by focusing optics. If the effects of irradiation are to be followed, it is important to have the same part of the crystal illuminated as is irradiated (a co-axial solution to this problem is described in OwenA notable early achievement of the technique was to demonstrate that enzyme crystals are catalytically active, relieving anxieties that the process of crystallization somehow made them unphysiological, which would have meant that X-ray crystal structures of proteins would have been of little value. Rossi and Bernhard first used single-crystal spectroscopy to verify that the reactions of a chromophoric derivative of chymotrypsin are the same in the crystal as in solution (Rossi & Bernhard, 1970). Later, the turnover of glyceraldehyde 3-phosphate dehydrogenase in a crystal mounted in a flow cell was characterized by following the NAD/NADH 340 nm changes spectrophotometrically (Vas et al., 1979), establishing the validity of crystal structures as representing catalytically active conformations of the protein. The standard technique of collecting data at 100 K means that once intermediates have been formed in the crystal, they can be cryo-trapped for Combining the spectroscopic monitoring of intermediate states has allowed time-resolved determinations of the structures of enzyme catalytic intermediates (reviewed by Hajdu et al., 2000). A recent example of the application of the techniques to `snapshot' reaction steps in a dehydrogenase is described by Huo et al. (2015). Single-crystal spectroscopy facilities have been installed on synchrotron beamlines and expanded from UV–Vis absorbance to include fluorescence and Raman spectroscopy. The current status and availability of these resources are reviewed extensively in the proceedings of the 2014 CCP4 Study Weekend (Dworkowski et al., 2015; von Stetten et al., 2015).
3.2. Photoreduction
Collecting X-ray data at 100 K may catch unstable intermediates for study, but it does not prevent the primary ). The chemical activity of the catalytic processes in an enzyme means that these are especially vulnerable to perturbation. X-ray photons have energies in the range 6–20 keV, about 1000 times the electron first of most atoms (between 4 and 16 eV). The X-ray photons will cause the ejection of electrons from atoms (Einstein, 1905; Meitner, 1922). Ejected electrons may travel considerable distances within the protein structure and are attracted to electrophilic centres in redox enzymes. There are many examples of structures in the PDB that are described as having a particular but have most probably been reduced to a greater or lesser extent during data collection. If the spectrum from the crystal (or irradiated portion of the crystal) is monitored during data collection, it becomes possible to be confident of the redox state of the structure being determined.
events caused by during data collection, nor does the low temperature prevent the movement of electrons. Radiation-induced damage in protein crystals has been described and reviewed extensively by Garman (20103.2.1. The example of flavoenzymes
The flavoenzymes provide an interesting example whereby very few deposited structures have had their redox states verified during or after data collection. The `butterfly bend' of the flavin (the dihedral angle between the planes formed by the pyrimidine and benzene rings of the isoalloxazine moiety) depends on the ). Any discussion of enzyme mechanism deduced from the structure clearly needs to be in the context of the observed. The of the flavin in an FMN-containing enzyme during X-ray data collection was followed by Røhr et al. (2010), showing the flavin bend. We also observed this effect in crystals of PETN reductase; Fig. 3 shows the difference between the yellow colour of the oxidized enzyme and the colourless X-ray reduced form, and the spectra from the two crystal states. By monitoring the crystal spectrum after varying X-rays doses we were able to use a multi-crystal strategy to obtain a minimally reduced structure and compare this with the X-ray reduced structure, showing clearly that caution is required when interpreting structures that have not been validated with spectroscopy. Many of the structures of flavoenzymes in the PDB appear to have used the restraints for the oxidized (FAD and FMN) in the even when the authors believe they have the reduced form (and so should use the FDA or FNR monomer library entries). The limited and inconsistent descriptions within the CCP4 monomer libraries (https://www.ccp4.ac.uk/html/lib_list.html) may add to the confusion.
with the oxidized form being flat and reduction inducing a bend along the N5–N10 axis (Fig. 33.2.2. The example of haem peroxidases
The haem peroxidase reaction has two intermediate states (compound I and compound II) where the haem iron is in the highly oxidized ferryl (FeIV) state (Kwon et al., 2016). In order to fully understand the reaction, it is necessary to determine whether these intermediates are protonated, i.e. FeIV=O or FeIV—OH. It is possible to monitor the formation of the intermediates spectroscopically and show that these are sufficiently stable to be cryo-trapped (Gumiero et al., 2011). Furthermore, using single-crystal spectrophotometry it can be shown that this can be performed in the crystal. Berglund et al. (2002) determined the structures of horseradish peroxidase intermediates and showed the changes in redox states during X-ray data collection. This was performed by careful monitoring and merging together of data from several crystals with differing levels of exposure. In the case of cytochrome c peroxidase, early work on the compound I intermediate reported varying Fe—O distances of 1.7–1.9 Å (Fülöp et al., 1994) and 1.87 Å, suggesting Fe—OH (Bonagura et al., 2003). However, subsequent work using the low-dose multi-crystal approach showed that the distance was 1.63 Å (Gumiero et al., 2011), consistent with Fe=O. Comparing the structures derived from crystals with increasing doses showed a steadily increasing distance to ∼2.0 Å (Gumiero, 2011). The use of distance to extrapolate bond order and therefore protonation state has to be treated with caution. Incomplete, low-resolution or poor-quality data, as well as incomplete models or high B values, will increase the uncertainties in atomic positions (Murshudov & Dodson, 1997). A reasonable estimate of this positional uncertainty (ESU) requires the data to be of sufficient resolution to be able to calculate a full matrix inversion in SHELX (Sheldrick, 2008). Furthermore, in the case of adjacent atoms with very different electron densities [e.g. iron (Z = 26) and oxygen (Z = 8) in this case] series-termination errors in the Fourier transform may introduce significant shifts in atomic positions (Fülöp et al., 2000).
3.2.3. Neutron crystallography of haem peroxidases
Neutron crystallography has the advantage of being able to directly observe H or D atoms and does not induce ). Recently, neutron crystallography has been used to resolve the catalytic mechanism of the haem peroxidases by the direct observation of H atoms. By reacting crystals (as before) that have been soaked in D2O to exchange H/D and verifying the intermediate formation and stability at 100 K with single-crystal spectroscopy and EPR, neutron crystallography could be undertaken on compound I and compared with ferric cytochrome c peroxidase. Owing to the moderate resolution of the structures and as only the exchangeable H atoms were replaced by deuterium, it was necessary to include X-ray data in the using PHENIX (Adams et al., 2009) to position the methylene groups. Neutron crystallography clearly showed that ferryl O atom was unprotonated, and showed the ionization states of the histidine residues (Casadei et al., 2014). The unexpected observation that the distal histidine was doubly deuterated meant that the mechanism has had to be re-evaluated (Groves & Boaz, 2014).
The haem-containing oxygen-binding protein myoglobin was one of the earliest to be studied by neutron crystallography, showing for the first time the iron–histidine hydrogen bond directly (Phillips & Schoenborn, 19813.2.4. Neutron crystallography in other enzymes
Although the cytochrome c peroxidase example above is the first use of the combination of cryo-trapping intermediates and neutron crystallography, neutron crystallography has, by placing H atoms, provided insight into other enzyme mechanisms. Recent examples include showing the movement of hydrogen in the reaction of xylose isomerase (Kovalevsky et al., 2010), the protonation state of the bound substrate in urate oxidase (Oksanen et al., 2014) and the details of the interactions of a clinical inhibitor of HIV-1 protease (Weber et al., 2013). A notable early example is the demonstration of the doubly protonated state of the catalytic histidine residue (and therefore its role as a base in the hydrolysis reaction) in the serine protease trypsin, resolving a longstanding controversy about the role of the Asp–His pair of the catalytic triad (Kossiakoff & Spencer, 1980, 1981). Bau (2005) reviews the insight gained from this and other examples.
4. Concluding remarks
Single-crystal spectroscopy can allow the monitoring and validation of intermediate catalytic states in the crystal. In favourable circumstances these can be cryo-trapped and the structures determined. Single-crystal spectroscopy is also useful to monitor crystals for
during X-ray data collection. X-ray crystallography does not directly give the positions of H atoms, but neutron crystallography does. Neutron crystallography also does not induce However, neutron crystallography is not as accessible as X-ray crystallography. A carefully considered combination of methods is likely to be the best approach to understanding biological chemistry through structure, and new techniques (such as X-ray free-electron lasers) will increase the scope of what can be discovered.
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Acknowledgements
We wish to thank the BBSRC (BB/K015665/1) and Wellcome Trust (WT094104MA) for support and Professor Nigel Scrutton (University of Manchester) for the gift of the expression system for PETN reductase.
References
Adams, P. D., Mustyakimov, M., Afonine, P. V. & Langan, P. (2009). Acta Cryst. D65, 567–573. Web of Science CrossRef CAS IUCr Journals Google Scholar
Ahmed, H. U., Blakeley, M. P., Cianci, M., Cruickshank, D. W. J., Hubbard, J. A. & Helliwell, J. R. (2007). Acta Cryst. D63, 906–922. Web of Science CrossRef CAS IUCr Journals Google Scholar
Barna, T. M., Khan, H., Bruce, N. C., Barsukov, I., Scrutton, N. S. & Moody, P. C. E. (2001). J. Mol. Biol. 310, 433–447. CrossRef CAS Google Scholar
Bau, R. (2005). J. Neutron Res. 13, 67–77. CrossRef CAS Google Scholar
Berglund, G. I., Carlsson, G. H., Smith, A. T., Szöke, H., Henriksen, A. & Hajdu, J. (2002). Nature (London), 417, 463–468. Web of Science CrossRef PubMed CAS Google Scholar
Blakeley, M. P., Hasnain, S. S. & Antonyuk, S. V. (2015). IUCrJ, 2, 464–474. Web of Science CrossRef CAS PubMed IUCr Journals Google Scholar
Bonagura, C. A., Bhaskar, B., Shimizu, H., Li, H., Sundaramoorthy, M., McRee, D. E., Goodin, D. B. & Poulos, T. L. (2003). Biochemistry, 42, 5600–5608. Web of Science CrossRef PubMed CAS Google Scholar
Broglie, L. de (1924). PhD thesis. University of Paris. Google Scholar
Casadei, C. M., Gumiero, A., Metcalfe, C. L., Murphy, E. J., Basran, J., Concilio, M. G., Teixeira, S. C. M., Schrader, T. E., Fielding, A. J., Ostermann, A., Blakeley, M. P., Raven, E. L. & Moody, P. C. E. (2014). Science, 345, 193–197. Web of Science CrossRef CAS PubMed Google Scholar
Dworkowski, F. S. N., Hough, M. A., Pompidor, G. & Fuchs, M. R. (2015). Acta Cryst. D71, 27–35. CrossRef IUCr Journals Google Scholar
Einstein, A. (1905). Ann. Phys. 322, 132–148. CrossRef Google Scholar
Fülöp, V., Phizackerley, R. P., Soltis, S. M., Clifton, I. J., Wakatsuki, S., Erman, J., Hajdu, J. & Edwards, S. L. (1994). Structure, 2, 201–208. CAS PubMed Web of Science Google Scholar
Fülöp, V., Watmough, N. J. & Ferguson, S. J. (2000). Adv. Inorg. Chem. 51, 163–204. Google Scholar
Garman, E. F. (2010). Acta Cryst. D66, 339–351. Web of Science CrossRef CAS IUCr Journals Google Scholar
Groves, J. T. & Boaz, N. C. (2014). Science, 345, 142–143. CrossRef CAS Google Scholar
Gumiero, A. (2011). PhD thesis. University of Leicester. Google Scholar
Gumiero, A., Metcalfe, C. L., Pearson, A. R., Raven, E. L. & Moody, P. C. E. (2011). J. Biol. Chem. 286, 1260–1268. Web of Science CrossRef CAS PubMed Google Scholar
Hajdu, J., Neutze, R., Sjögren, T., Edman, K., Szöke, A., Wilmouth, R. C. & Wilmot, C. M. (2000). Nature Struct. Biol. 7, 1006–1012. Web of Science CrossRef PubMed CAS Google Scholar
Huo, L., Davis, I., Liu, F., Andi, B., Esaki, S., Iwaki, H., Hasegawa, Y., Orville, A. M. & Liu, A. (2015). Nature Commun. 6, 5935. CrossRef Google Scholar
International Tables for Crystallography (2006). Vol. C, 1st online ed., edited by E. Prince, ch. 6, pp. 554–616. Chester: International Union of Crystallography. Google Scholar
Kossiakoff, A. A. & Spencer, S. A. (1980). Nature (London), 288, 414–416. CrossRef CAS PubMed Web of Science Google Scholar
Kossiakoff, A. A. & Spencer, S. A. (1981). Biochemistry, 20, 6462–6474. CrossRef CAS PubMed Web of Science Google Scholar
Kovalevsky, A. Y., Hanson, L., Fisher, S. Z., Mustyakimov, M., Mason, S., Forsyth, V. T., Blakeley, M. P., Keen, D. A., Wagner, T., Carrell, H. L., Katz, A. K., Glusker, J. P. & Langan, P. (2010). Structure, 18, 688–699. CrossRef CAS Google Scholar
Krimsky, I. & Racker, E. (1955). Science, 122, 319–321. CrossRef CAS Google Scholar
Kwon, H., Moody, P. C. E. & Raven, E. L. (2016). Heme Peroxidases, edited by E. Raven & B. Dunford, pp. 47–60. London: The Royal Society of Chemistry. https://doi.org/10.1039/9781782622628-00047. Google Scholar
Matthews, B. W., Sigler, P. B., Henderson, R. & Blow, D. M. (1967). Nature (London), 214, 652–656. CrossRef CAS PubMed Web of Science Google Scholar
Meitner, L. (1922). Z. Phys. 9, 131–144. CrossRef CAS Google Scholar
Murshudov, G. N. & Dodson, E. J. (1997). CCP4 Newsl. Protein Crystallogr. 33, 31–39. Google Scholar
Myles, D. A. A. (2006). Curr. Opin. Struct. Biol. 16, 630–637. Web of Science CrossRef PubMed CAS Google Scholar
Neumann, P. & Tittmann, K. (2014). Curr. Opin. Struct. Biol. 29, 122–133. CrossRef CAS Google Scholar
O'Dell, W. B., Bodenheimer, A. M. & Meilleur, F. (2016). Arch. Biochem. Biophys. 602, 48–60. CAS Google Scholar
Oksanen, E., Blakeley, M. P., El-Hajji, M., Ryde, U. & Budayova-Spano, M. (2014). PLoS One, 9, e86651. Web of Science CrossRef PubMed Google Scholar
Owen, R. L., Pearson, A. R., Meents, A., Boehler, P., Thominet, V. & Schulze-Briese, C. (2009). J. Synchrotron Rad. 16, 173–182. Web of Science CrossRef CAS IUCr Journals Google Scholar
Phillips, S. E. V. & Schoenborn, B. P. (1981). Nature (London), 292, 81–82. CrossRef CAS PubMed Web of Science Google Scholar
Røhr, A. K., Hersleth, H.-P. & Andersson, K. K. (2010). Angew. Chem. Int. Ed. 49, 2324–2327. Google Scholar
Rossi, G. L. & Bernhard, S. A. (1970). J. Mol. Biol. 49, 85–91. CrossRef CAS PubMed Web of Science Google Scholar
Sheldrick, G. M. (2008). Acta Cryst. A64, 112–122. Web of Science CrossRef CAS IUCr Journals Google Scholar
Shu, F., Ramakrishnan, V. & Schoenborn, B. P. (2000). Proc. Natl Acad. Sci. USA, 97, 3872–3877. Web of Science CrossRef PubMed CAS Google Scholar
Stetten, D. von, Giraud, T., Carpentier, P., Sever, F., Terrien, M., Dobias, F., Juers, D. H., Flot, D., Mueller-Dieckmann, C., Leonard, G. A., de Sanctis, D. & Royant, A. (2015). Acta Cryst. D71, 15–26. Web of Science CrossRef IUCr Journals Google Scholar
Vas, M., Berni, R., Mozzarelli, A., Tegoni, M. & Rossi, G. L. (1979). J. Biol. Chem. 254, 8480–8486. CAS Google Scholar
Weber, I. T., Waltman, M. J., Mustyakimov, M., Blakeley, M. P., Keen, D. A., Ghosh, A. K., Langan, P. & Kovalevsky, A. Y. (2013). J. Med. Chem. 56, 5631–5635. Web of Science CrossRef CAS PubMed Google Scholar
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