research papers
Ewald: an extended wide-angle Laue diffractometer for the second target station of the Spallation Neutron Source
aOak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA
*Correspondence e-mail: coatesl@ornl.gov
Visualizing hydrogen atoms in biological materials is one of the biggest remaining challenges in biophysical analysis. While X-ray techniques have unrivaled capacity for high-throughput 3. The ability to operate on crystals an order of magnitude smaller (0.01 mm3) will open up new and more complex systems to studies with neutrons which will help in our understanding of enzyme mechanisms and enable us to improve drugs against multi resistant bacteria. With this is mind, an extended wide-angle Laue diffractometer, `Ewald', has been designed, which can collect data using crystal volumes below 0.01 mm3.
neutron diffraction is uniquely sensitive to hydrogen atom positions in crystals of biological materials and can provide a more complete picture of the atomic and electronic structures of biological macromolecules. This information can be essential in providing predictive understanding and engineering control of key biological processes, for example, in catalysis, ligand binding and light harvesting, and to guide bioengineering of enzymes and drug design. One very common and large capability gap for all neutron atomic resolution single-crystal diffractometers is the weak of available neutron beams, which results in limited signal-to-noise ratios giving a requirement for sample volumes of at least 0.1 mmKeywords: neutron diffraction; protein crystallography.
1. Introduction
Single-crystal neutron diffraction experiments have historically been limited by the available neutron et al., 2016; Blakeley, 2009; Chen & Unkefer, 2017; Niimura, 2011; Blakeley et al., 2015; Oksanen et al., 2017) have given a current picture of single-crystal macromolecular neutron crystallography which documents a growing vigorous activity in neutron protein crystallography worldwide. Several instruments such as LADI-III (Blakeley et al., 2010), IMAGINE (Meilleur et al., 2013), BIODIFF (Coates et al., 2014) and IBIX (Tanaka et al., 2010) are now available for single-crystal macromolecular neutron crystallography, which can collect data on crystal volumes between 0.1 and 1 mm3. MaNDi at the Spallation Neutron Source (SNS) is the most recently developed macromolecular neutron diffractometer instrument (Coates et al., 2010, 2015). The SNS produces neutrons in discrete pulses 60 times a second. On MaNDi, a series of bandwidth choppers selects the wavelengths of neutrons which will be used in the experiment from within these pulses. These neutrons then interact with and are scattered by the sample into a large array of time-sensitive detectors which surround the sample. MaNDi has a bandwidth of Δλ = 2.16 Å, with neutrons between 2 and 4.16 Å typically being used in macromolecular experiments. As the time of generation for each neutron pulse, the so-called `T0', and the length of MaNDi are well known, the wavelength of the detected neutrons can easily be determined by measuring their time of flight (TOF) (Langan et al., 2008). This enables the Laue diffraction patterns recorded on MaNDi to be divided into monochromatic slices by sorting the data into discrete TOF ranges, thus massively reducing reflection overlap, decreasing background and thereby increasing the signal-to-noise ratio (Fig. 1).
which has always been orders of magnitude lower than available X-ray fluxes. However, with the development of deuterium labeling techniques and new instruments, it is becoming a more readily used technique. A number of recent review articles (O'DellOwing to its high TOF resolution (Schultz et al., 2005), MaNDi is able to collect data from unit cells up to 300 Å (Azadmanesh et al., 2017) while also collecting data on crystal volumes down to 0.1 mm3. However, to move to crystal volumes an order of magnitude smaller for data collection, improved neutron sources and instrumentation are needed. The high of the currently being designed for the second target station (STS) of the SNS at Oak Ridge National Laboratory (ORNL) will be ideally suited for experiments that require focusing optics to enable measurements on smaller samples than is currently possible using the SNS. This capability will enable the study of proteins from which it is challenging to prepare crystals as large as 0.1 mm3 in volume. We report here the design of a new macromolecular neutron diffractometer, Ewald, which is designed for collecting data from large unit cells up to 300 Å on edge while also being optimized for crystal volumes of 0.01 mm3 and smaller. The small, high-brightness coupled moderators available at the STS combined with recent advances in neutron instrumentation will deliver smaller, more intense neutron beams to the sample position by the utilization of Montel (nested) Kirkpatrick–Baez (KB) neutron supermirrors (Ice, Barabash & Khounsary, 2009; Ice, Pang et al., 2009). This will enable Ewald to collect data from smaller crystals than can currently be studied using existing instrumentation.
2. Instrument concept
The neutron optics system for Ewald (Fig. 2) is based on a pair of nested elliptical KB focusing neutron supermirrors located at 54 and 84 m from the moderator. These neutron supermirrors are 3 m in length and 15 cm in height and image a neutron slit which will be positioned 5 m from the moderator. The opening of this slit will be de-magnified by a factor of ×30 at the sample position. By varying the size of the slit opening we will be able to adjust the dimensions of the neutron beam at the sample position down to 0.001 mm2. This mechanism will enable us to closely match the beam size at the sample position to the dimensions of the crystal to reduce background and increase signal-to-noise ratio. Using this arrangement, we also have no line of sight from the moderator to the sample position, further reducing background while also avoiding any and gammas emitted during neutron production reaching the sample position even in the event of a chopper failure. The horizontal and vertical divergence of the neutron beam at the sample is fixed at 0.38° FWHM across the 1–10 Å wavelength band.
A T0 chopper located at 6.5 m and two bandwidth choppers positioned at 8 and 10 m from the moderator will remove
and gammas and select the neutron wavelengths to be used for each experiment. A secondary shutter located at 84.6 m from the moderator will allow the easy change out of samples. At the sample position (90 m) a high-precision goniometer will align and position the crystal into the neutron beam, with neutrons scattered from the sample being detected by a hemispherical array of next-generation high-resolution (HR) SNS detectors.MaNDi views a decoupled hydrogen moderator at the SNS which gives sharp neutron pulses with short emission times (Schultz et al., 2005) (17.4 µs FWHM at 2 Å), enabling the study of large unit-cell axes up to 300 Å (Schultz et al., 2005). To ensure the same or better timing resolution for Ewald at the STS, which views a 3 × 3 cm high-brightness coupled moderator, one needs an instrument that is around three times longer to account for the moderator pulse width difference (43.3 µs FWHM at 2 Å). Thus, Ewald has a flight path length of 90 m, three times that of MaNDi. At this length and with the 15 Hz repetition rate of the STS, Ewald will have a bandwidth (Δλ) of 3.0 Å, perfect for neutron protein crystallography as all useful wavelengths (1.5–4.5 Å) can be collected in a single exposure. The key instrument parameters and capabilities of MaNDi and Ewald are given in Table 1.
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3. Potential neutron gain factors
Using the McStas program (Willendrup et al., 2014), we have conducted several initial Monte Carlo simulations of Ewald to assess its performance relative to that of MaNDi at the first target station of SNS. On MaNDi (Coates et al., 2010) with a fixed beam divergence of 0.38° at the sample position, the on sample is 1.3 × 105 n s−1 mm−2 for all neutrons between 2 and 4.16 Å. The higher-brightness coupled moderator available at the STS combined with a KB neutron optics system has enabled us to increase the on sample at Ewald to 7.64 × 106 n s−1 mm−2 for all neutrons between 1.5 and 4.5 Å, with the same fixed beam divergence of 0.38°, giving us a simulated gain factor in of ×59.
We have simulated the performance of Ewald on a small crystal (0.01 mm3) of an inorganic pyrophosphatase (IPPase) using the McStas program (Fig. 3). IPPase is an enzyme that catalyzes the conversion of one molecule of pyrophosphate to two phosphate ions, which is a highly This reaction is often coupled to unfavorable biochemical transformations to help drive them to completion. The functionality of this enzyme plays a critical role in lipid synthesis and degradation, bone formation, and DNA synthesis. The protein itself is a hexamer in the formed from six protein chains, each being composed of 174 amino acids (Hughes et al., 2012). This large complex is a challenging target for neutrons, and initial data collection at the protein crystallography station instrument located at the LANSCE facility in Los Alamos, NM, USA, required a crystal over 500 times larger in volume (5 mm3) for data collection (Hughes et al., 2012). The specifics of the simulations conducted for Ewald and MaNDi are given in Table 2. A narrow TOF range corresponding to neutrons between 2.82 and 2.84 Å was used for the Monte Carlo simulations owing to the large number of reflections generated from such a large unit cell.
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The average intensity of a Bragg reflection (I) for a particular crystal depends upon the number of unit cells within it. This can easily be calculated as I = Vs/Vc, where Vs is the crystal volume and Vc is the volume of the In Fig. 4 we have constructed a Wilkinson scatter plot (Habash et al., 1997) for some of the challenging samples that have been collected on MaNDi so far, along with details of samples that will likely become feasible on the Ewald instrument.
Thus, by reducing the minimum crystal size requirement for a successful data collection, many new types of proteins become amenable to neutron protein crystallography. These include membrane proteins, DNA repair proteins and enzymes of interest in the production of biofuels.
4. Dynamical neutron polarization
Dynamical neutron polarization (DNP) uses a combination of high magnetic fields and low temperature to enhance and manipulate the nuclear polarization in macromolecular crystals, giving the ability to control the neutron et al., 2009, 2010). In situ control of the neutron will significantly enhance the contribution of hydrogen, which accounts for over half the atoms in a typical protein crystal, to the measured signal while simultaneously minimizing the background. This will potentially reduce the crystal size required for Ewald by a further order of magnitude. Ewald has been flexibly designed to accommodate DNP equipment and sample environments. The end station of the Ewald instrument is initially designed with 37 HR-SNS Anger cameras (Fig. 5), which are mounted on a hemispherical movable detector array frame that can be easily retracted to allow for the installation of DNP apparatus.
(PierceAt a sample-to-detector distance of 300 mm, the detector array provides a coverage of 5.3 sr compared to 4.1 sr on the MaNDi instrument. Ewald will also utilize the next generation of SNS Anger cameras, which unlike previous generations are not sensitive to stray magnetic fields, enabling DNP deployment on Ewald. A high-precision goniometer at the sample position aligns crystals into the neutron beam, while a robotic sample changer allows for automated data collection and remote operation of the beamline. Further work on the instrument design will include modeling the effects of gravity on the neutron optics system and improving detector coverage.
5. Conclusions
Current neutron instrumentation is able to collect data on crystals an order of magnitude smaller than previous generations of instrumentation, which typically required crystals greater than 1 mm3. To date, 119 neutron protein structures have been deposited in the Protein Data Bank, with the first listed deposition occurring in 1984. However, around 60% of these 119 structures were deposited within the past five years, indicating that this decrease in sample volume requirement has distinctly increased the reach of neutron protein crystallography. The construction of the STS at SNS with its compact brighter moderators will allow the deployment of novel neutron focusing optics which are able to transmit smaller higher-flux neutron beams to the sample position. This combined with the ability to manipulate neutron scattering cross sections with DNP will allow for protein crystals orders of magnitude smaller to be used for data collection. While neutron protein crystallography will always be used for hypothesis-driven research, the construction of Ewald at the STS will at last enable neutron protein crystallography to address many more interesting science questions.
Acknowledgements
This research at ORNL's Spallation Neutron Source was sponsored by the Scientific User Facilities Division, Office of Basic Energy Sciences, US Department of Energy. The Office of Biological and Environmental Research supported research at Oak Ridge National Laboratory's Center for Structural Molecular Biology (CSMB), using facilities supported by the Scientific User Facilities Division, Office of Basic Energy Sciences, US Department of Energy.
Funding information
The following funding is acknowledged: US Department of Energy, Office of Science (award No. AC05-00OR22725).
References
Azadmanesh, J., Trickel, S. R., Weiss, K. L., Coates, L. & Borgstahl, G. E. O. (2017). Acta Cryst. F73, 235–240. CrossRef IUCr Journals Google Scholar
Blakeley, M. P. (2009). Crystallogr. Rev. 15, 157–218. Web of Science CrossRef 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
Blakeley, M. P., Teixeira, S. C. M., Petit-Haertlein, I., Hazemann, I., Mitschler, A., Haertlein, M., Howard, E. & Podjarny, A. D. (2010). Acta Cryst. D66, 1198–1205. Web of Science CrossRef CAS IUCr Journals Google Scholar
Chen, J. C.-H. & Unkefer, C. J. (2017). IUCrJ, 4, 72–86. CrossRef CAS PubMed IUCr Journals Google Scholar
Coates, L., Cuneo, M. J., Frost, M. J., He, J., Weiss, K. L., Tomanicek, S. J., McFeeters, H., Vandavasi, V. G., Langan, P. & Iverson, E. B. (2015). J. Appl. Cryst. 48, 1302–1306. Web of Science CrossRef CAS IUCr Journals Google Scholar
Coates, L., Stoica, A. D., Hoffmann, C., Richards, J. & Cooper, R. (2010). J. Appl. Cryst. 43, 570–577. Web of Science CrossRef CAS IUCr Journals Google Scholar
Coates, L., Tomanicek, S., Schrader, T. E., Weiss, K. L., Ng, J. D., Jüttner, P. & Ostermann, A. (2014). J. Appl. Cryst. 47, 1431–1434. Web of Science CrossRef CAS IUCr Journals Google Scholar
Habash, J., Raftery, J., Weisgerber, S., Cassetta, A., Lehmann, M. S., Hghj, P., Wilkinson, C., Campbell, J. W. & Helliwell, J. R. (1997). Faraday Trans. 93, 4313–4317. CrossRef CAS Google Scholar
Hughes, R. C., Coates, L., Blakeley, M. P., Tomanicek, S. J., Langan, P., Kovalevsky, A. Y., García-Ruiz, J. M. & Ng, J. D. (2012). Acta Cryst. F68, 1482–1487. Web of Science CrossRef IUCr Journals Google Scholar
Ice, G. E., Barabash, R. I. & Khounsary, A. (2009). Proc. SPIE, 7448, 74480B. CrossRef Google Scholar
Ice, G. E., Pang, J. W. L., Tulk, C., Molaison, J., Choi, J.-Y., Vaughn, C., Lytle, L., Takacs, P. Z., Andersen, K. H., Bigault, T. & Khounsary, A. (2009). J. Appl. Cryst. 42, 1004–1008. Web of Science CrossRef CAS IUCr Journals Google Scholar
Langan, P., Fisher, Z., Kovalevsky, A., Mustyakimov, M., Sutcliffe Valone, A., Unkefer, C., Waltman, M. J., Coates, L., Adams, P. D., Afonine, P. V., Bennett, B., Dealwis, C. & Schoenborn, B. P. (2008). J. Synchrotron Rad. 15, 215–218. Web of Science CrossRef CAS IUCr Journals Google Scholar
Meilleur, F., Munshi, P., Robertson, L., Stoica, A. D., Crow, L., Kovalevsky, A., Koritsanszky, T., Chakoumakos, B. C., Blessing, R. & Myles, D. A. A. (2013). Acta Cryst. D69, 2157–2160. Web of Science CrossRef CAS IUCr Journals Google Scholar
Niimura, N. P. A. (2011). Neutron Protein Crystallography. Oxford University Press. Google Scholar
O'Dell, W. B., Bodenheimer, A. M. & Meilleur, F. (2016). Arch. Biochem. Biophys. 602, 48–60. CAS PubMed Google Scholar
Oksanen, E., Chen, J. C. & Fisher, S. Z. (2017). Molecules, 22, 596. CrossRef Google Scholar
Pierce, J., Crabb, D. G., Tomanicek, S., Demarse, N., Maxwell, J., Mulholland, J. & Zhao, J. K. (2010). J. Phys. Conf. Ser. 251, 012088. CrossRef Google Scholar
Pierce, J., Crabb, D. & Zhao, J. K. (2009). Spin Phys. 1149, 872–875. CAS Google Scholar
Schultz, A. J., Thiyagarajan, P., Hodges, J. P., Rehm, C., Myles, D. A. A., Langan, P. & Mesecar, A. D. (2005). J. Appl. Cryst. 38, 964–974. Web of Science CrossRef CAS IUCr Journals Google Scholar
Tanaka, I., Kusaka, K., Hosoya, T., Niimura, N., Ohhara, T., Kurihara, K., Yamada, T., Ohnishi, Y., Tomoyori, K. & Yokoyama, T. (2010). Acta Cryst. D66, 1194–1197. Web of Science CrossRef CAS IUCr Journals Google Scholar
Willendrup, P. K., Knudsen, E. B., Klinkby, E., Nielsen, T., Farhi, E., Filges, U. & Lefmann, K. (2014). J. Phys. Conf. Ser. 528, 012035. CrossRef Google Scholar
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