q2xafs workshop
X-ray absorption spectroscopy at a protein crystallography facility: the Canadian Light Source beamline 08B1-1
aDepartment of Geological Sciences, University of Saskatchewan, 114 Science Place, Saskatoon, SK, Canada S7N 5E2, and bCanadian Light Source, 101 Perimeter Road, Saskatoon, SK, Canada S7N 0X4
*Correspondence e-mail: julien.c@usask.ca, michel.fodje@lightsource.ca
It is now possible to perform Mx Data Collector software package used to collect diffraction data. Mainstream data-processing software packages are available for the users; assistance with data processing and interpretation by staff is also available upon request.
on metalloprotein crystals at the Canadian Macromolecular Crystallography Facility bend magnet (CMCF-BM) beamline (08B1-1) at the Canadian Light Source. The recent addition of a four-element fluorescence detector allows users to acquire data suitable for X-ray absorption near-edge structure and extended X-ray absorption fine-structure based studies by monitoring fluorescence. CMCF beamline users who wish to supplement their diffraction data with can do so with virtually no additional sample preparation. data collection is integrated with the establishedKeywords: X-ray absorption spectroscopy; XANES; EXAFS; Canadian Light Source; Canadian Macromolecular Crystallography Facility; protein crystallography.
1. Introduction
It has been estimated that metalloproteins constitute between 22 and 30% of the genomic output of most organisms (Waldron & Robinson, 2009; Cotelesage et al., 2012). In particular, metalloenzymes containing transition metal ions are responsible for much of the most challenging chemistry carried out by biological systems. Thus, for a significant number of proteins, bound metal atoms and their immediate atomic environment are a focus of interest for which detailed knowledge is needed in order to understand chemical mechanism. As useful and informative as high-resolution protein crystal structures are, there are often unavoidable impediments that limit what the technique can reveal at the atomic level (Acharya & Lloyd, 2005; Cotelesage et al., 2012). For example, when interpreting crystal structures of metalloproteins, phenomena such as Fourier ringing can complicate interpretation of the region around the metal (Schindelin et al., 1997; Cotelesage et al., 2012). In light of this it is obvious that accurate and high-resolution structural data are critical for researchers in the many fields that study enzyme function and catalysis.
X-ray absorption spectroscopy (XAS) is a technique that can complement protein crystallography. et al., 2005). Protein crystallographers routinely utilize absorption edges of metalloprotein crystals to obtain initial phase information for solving crystal structures (Matthews, 1966). The of a metalloprotein is acquired by extending the range of measurement above the edge energy. Within about 50 eV of the the fine structure of is termed the X-ray absorption near-edge structure (XANES) which provides information on the of the metal and some information on the coordination geometry (Cotelesage et al., 2012). Extending to higher energies (400 eV or more) above the the extended X-ray absorption fine structure (EXAFS) can be measured. The provides detailed interatomic parameters such as the distance between the metal and its coordinating ligands, often with accuracies of better than ±0.02 Å, a magnitude better compared with protein crystallography. Collection of adequate signal-to-noise is often an issue with biological samples and typically spectra must be collected multiple times and averaged before structural information can be derived from the data (George & Pickering, 2007).
exploits the of the element of interest to derive structural information in the vicinity of that element (StrangeOne of the most significant limitations of ; Cotelesage et al., 2012), though under certain circumstances the interpretable may extend to longer distances (Cotelesage et al., 2012). Moreover, if the metal of interest binds to multiple sites in the protein, or if exogenous metal is present in the sample solvent, or if the metal binding mode is heterogeneous, it may not be possible to distinguish absorption from the individual metal environments. Despite these limitations has proven to be reliable and in some cases has answered questions that protein crystallography alone has been unable to fully address (George et al., 1999; Yano & Yachandra, 2009; Pushie & George, 2011; Cotelesage et al., 2012).
is that even under the best experimental conditions only the region around the metal can be probed for structural information. Typical metalloprotein will only reveal atomic distances within a 3–4 Å radius of the metal centre (George & Pickering, 2007Measurement of X-ray absorption requires a monochromatic source of radiation with good energy resolution. For each element of interest the radiation must be tunable in small increments from just below the et al., 2005; George & Pickering, 2007; Yano & Yachandra, 2009).
to at least a few hundred electronvolts beyond it. Most synchrotron-based macromolecular crystallography beamlines should be able to meet these requirements for most of the biologically relevant metals of the first transition row and above. also requires an appropriate detector to measure absorbance. With concentrated samples, absorbance can be measured by monitoring the incoming and transmitted intensities of radiation. When the concentration of the element of interest is dilute, in the millimolar to micromolar range, a more suitable detection method is to measure the fluorescence of the element of interest as it is proportional to absorbance (LatimerWhile there are dedicated
beamlines at a number of synchrotron facilities, the uncertainty in the utility of may dissuade some protein crystallographers from attempting an experiment. For others, the additional time and resources needed to run on a different beamline may be a barrier to performing on metalloproteins. With some modifications most protein crystallography beamlines that currently collect anomalous edge data could add the capability to measure X-ray absorption on crystal samples. The Canadian Macromolecular Crystallography Facility (CMCF) beamline 08B1-1 now has this capability, allowing users who would otherwise not have the chance to perform XAS-based experiments the opportunity to delve into the field without requiring a significant investment in time or resources.2. Materials and methods
2.1. Beamline characteristics and requirements
The Canadian Light Source (CLS) beamline 08B1-1 (CMCF-BM) is a bending-magnet-based beamline (Fig. 1) capable of producing monochromatic radiation from 4000 to 18000 eV (Grochulski et al., 2012). CMCF-BM can be run manually or with a Stanford Auto-Mounter system (Cohen et al., 2002). Data collection is controlled by users with the Mx Data Collector (MxDC) software (Fodje et al., 2012) operated either at the CLS or remotely. A four-element Vortex ME4 fluorescence detector (SII NanoTechnology USA Inc., Northridge, CA, USA) has been mounted in a location which does not affect X-ray diffraction data collection. A Soller slit assembly is mounted on the detector to minimize unwanted scatter and fluorescence (Bewer, 2012). Samples are kept at temperatures of 100 K with a cryojet (Oxford Instruments, Abingdon, UK) to minimize radiation damage (Fig. 2) and X-ray induced (George et al., 2012).
2.2. Sample preparation for on protein crystals
For successful
measurement, any solvent or cryoprotectant around the protein crystal sample should be free from exogenous elements, including the metal of interest, that may interfere with the measurement of fluorescence. Washing the crystal in mother liquor that is free from the elements of concern and then remounting the crystal is normally sufficient to make the sample suitable for Other than that major caveat, measurements can be performed on a sample already prepared for X-ray diffraction. Users can have their sample run following diffraction data collection. The transition between diffraction data collection and data collection takes less than 5 min on CMCF-BM.One other concern for users would be the consequence of lengthy exposure times. Each scan can take from 20 min to an hour. In order to collect enough data to yield results comparable with a dedicated et al., 2005; George et al., 2012).
beamline, collection times of up to ten hours per sample may be required. The user must determine whether the exposure times are causing significant radiation damage. Fortunately, relevant radiation damage can be monitored by examining any changes in the XANES on successive sweeps (Yano2.3. Data collection and processing
The MxDC software package used at 08B1-1 for crystallographic data collection has been modified to accommodate data collection. MxDC already allowed for control of XANES-based spectroscopy which is normally used for determining the energies required for MAD and SAD crystallographic experiments (Fodje et al., 2012). An additional scan mode has been added specifically for collecting data, which contains many of the basic features of other data acquisition programs (e.g. George, 2000). The absorbing element of interest, collection time, number of scans and the k-range are selected by the user. The energy above the (the region) can be scanned as a function of photoelectron wavevector k,
where all symbols have their usual meanings: me is the E is the X-ray energy, E0 is the and is Planck's constant divided by 2π. In the region the count time per point can vary according to a k-weighting scheme,
where t is the count time for a given value of k, tmin and tmax are the lower and upper bounds for count-time, respectively, kmin and kmax are the minimum and maximum k, respectively, and n is the power (usually n = 2). As is typical on beamlines, a number of individual scans are averaged until data of an acceptable signal-to-noise are obtained.
The output files from each run are saved using the standardized et al., 2011). Complete log files and raw data from the detectors can be made available at the user's request. Users have access to mainstream data reduction and analysis software such as ATHENA (Ravel & Newville, 2005) and EXAFSPAK (https://ssrl.slac.stanford.edu/exafspak.html). For users with less experience, beamline staff will be available for assistance with processing and interpretation of their collected data.
data interchange specification (.xdi file format) to ensure maximal compatibility with software (Newville3. Results
The Escherichia coli phosphoenolpyruvate carboxykinase is shown in Fig. 3. The protein is 540 amino acids in size and has a crystal containing four manganese (II) atoms (Tari et al., 1997). Owing to the small crystal size no cryoprotectant was used. The crystal's ability to diffract X-rays to ∼2.0 Å resolution was verified before the analysis was performed. Twelve scans were recorded with each scan taking approximately 50 min to complete. The energy reproducibility of the 08B1-1 monochromator was found to be excellent with a drift of less than 0.1 eV over the total period of data acquisition (almost 10 h). This contrasts with typical protein crystallography data acquisition times which are usually below 2 h for a complete data set. Owing to the small crystal size and the low energy fluorescence of manganese this sample was considered to be at the lower limits of size and for which satisfactory data could be collected at 08B1-1 (Fig. 3).
data from of a small (0.05 mm × 0.05 mm × 0.1 mm) protein crystal ofThe data obtained from the runs were processed using EXAFSPAK and compared with data collected on equivalent samples at the Stanford Synchrotron Radiation Lightsource (SSRL) dedicated beamline 7-3 using a 30-element Ge array detector. The SSRL sample was a large number of crystals suspended in manganese-free mother liquor contained in a standard acrylic sample cuvette with mylar tape windows. Three 35 min sweeps were averaged to give the final data set. Owing to differences in X-ray sources, optics, detectors, cooling temperatures and other factors such as the required sample size, a rigorous comparison between beamlines is beyond the scope of the present work but we note that, while the signal-to-noise from SSRL 7-3 is significantly better than for CLS 08B1-1, the sample volume used at SSRL was approximately 120000 greater. Within this limitation the data collected at 08B1-1 compare well with corresponding data from SSRL 7-3, with reasonable correspondence of the Fourier transforms of the k3-weighted but with lower amplitudes for the CLS 08B1-1 data owing to the higher relative sample temperature (100 K at CLS 08B1-1 versus 10 K at SSRL BL7-3). With this example it was possible to collect data to a maximum k of approximately 11.5 Å−1. This data range allows the distinction of atomic distances of about 0.14 Å (Cotelesage et al., 2012). Higher k-ranges result in improved resolution of similar interatomic distances; the achievable extent of k will depend on the specific experimental conditions, the sample and on the nature of the backscatterers to the metal concerned.
Manganese 2+ solution contained in a cryo-loop. The sample used was 5 mM Zn2+ in the presence of 8 mM reduced glutathione with 30% glycerol as a glassing agent in phosphate buffer at pH 6.9. This sample models the conditions for a large crystal containing reasonably high levels of a metal, and data were acquired over the same time (10 h of averaging) as for the manganese phosphoenolpyruvate carboxykinase discussed above, although in this case the data extended to k = 14 Å−1. The data and the Fourier transform are of good quality and are shown in Fig. 4.
is often somewhat problematic relative to elements with absorption edges at higher X-ray energies because of X-ray attenuation by windows and flight paths in the experiment. We therefore conducted a second test using a drop of approximately 20 µl volume of Zn4. Discussion and conclusions
CMCF 08B1-1 is designed for protein crystallography and hence has limitations in measuring et al., 2005) and 4 to 40 keV for ESRF FAME (Proux et al., 2005). Moreover, the energy resolution (ΔE/E) of the monochromator used at 08B1-1 is 1.4 × 10−4, poorer than the value of 1.0 × 10−4 for SSRL 9-3. This will result in broader features in the XANES spectrum, although the should be little affected.
when compared with dedicated beamlines such as the SSRL beamline 9-3 or the European Synchrotron Radiation Facility (ESRF) beamline FAME. For example, the monochromator at 08B1-1 uses a Si(111) crystal monochromator rather than a Si(220) like the other beamlines, resulting in a diminished range of incident energies. The range for 08B1-1 is 4 to 18 keV compared with 5 to 30 keV for SSRL 9-3 (LatimerAt 08B1-1 samples are cooled with a liquid-nitrogen `cryojet' cryostat (Fig. 2), typically to between 80 and 100 K whereas on beamlines it is often customary to cool to liquid-helium temperatures at around 10 K. The use of a higher sample temperature during data acquisition may render the sample more prone to radiation damage, and also may make it more difficult to resolve some of the finer structural details owing to damping of arising from increased thermal contributions to the Debye–Waller factor (e.g. Cotelesage et al., 2012). Potentially this could be at least in part remedied by installation of a helium-based `cryojet'-type cryostat, with which temperatures of around 20 K can be achieved.
The fluorescence detector currently installed at 08B1-1 has four elements. Larger arrays such as 30-element Ge arrays of discrete detectors or 100-pixel Ge monolith detectors (Canberra Industries, Meriden, CT, USA) are often used on et al., 1988). With the present four-element array on 08B1-1, samples may need to be exposed for longer to achieve the equivalent signal-to-noise relative to beamlines with larger detector arrays. This may raise concerns about sample integrity or availability of beam time. Recently, Chantler et al. (2012) have reported that self-absorption of a sample contributed to significant variance in the intensity of fluorescence measurements made at each detector element owing to the varied distances the fluorescence has to travel through sample and air. In situations such as this it is beneficial to have redundant measurements from each discrete element making it easier to identify and mitigate the effects of some forms of systemic error (Chantler et al., 2012). While this is a concern for concentrated samples, it is not expected to be a serious problem for XAS-based work on protein crystals because of the dilute nature and small size of the samples. If the density of a protein crystal is taken as 1.22 g cm−3 (Andersson & Hovmöller, 2000), assuming a protein molecular weight of 50000 Da and a 1:1 ratio of metal to protein, then the metal concentration is about 20 mM. For samples with metal concentrations in this range, self-absorption will be significant for larger samples but the small sample sizes for protein crystals (>0.2 mm pathlength) means that these effects will likely not compromise an XAS-based experiment (e.g. Tröger et al., 1992). As far as detectors are concerned, while longer data collection times and lack of access to advanced statistical tools may remain an issue for the time being, there are no limitations at 08B1-1 preventing the addition of a larger multi-element fluorescence detector array in the future.
beamlines. The primary reason for the use of such compound devices is that electronic dead-time effects limit the count rate per discrete detector element, and arrays are thus a crude method of operating at overall higher count rates (CramerDespite these challenges, K-shell absorption edges of manganese through zirconium (Z = 25 to 40) as well as the L-shell absorption edges of elements 57 to 88. Some of the biologically relevant elements in the obtainable ranges include iron, copper, zinc, arsenic, mercury and lead.
data collected at 08B1-1 can be of great utility for protein crystallographers. The data collected have demonstrated that the recent modifications and additions to the beamline equipment allows the determination of valuable structural information related to the metalloprotein crystal samples already mounted for X-ray diffraction. Properties such as bond distances, oxidization state and geometry can be used to supplement crystallographic data. Beamline 08B1-1 can examine theFor users with little or no experience with
the upgrades on 08B1-1 provide an excellent opportunity to explore this new direction. Assistance from CMCF staff is available by request. Users thus face little risk or any major commitments of time and resources if they choose to delve into the field of XAS.Acknowledgements
We thank Hughes Goldie (Department of Microbiology, University of Saskatchewan) for providing protein samples. JJHC is a Fellow in the CIHR Training grant in Health Research Using Synchrotron Techniques (CIHR-THRUST). IJP and GNG are Canada Research Chairs and are supported by the Natural Sciences and Engineering Research Council (NSERC) Canada, the Canadian Institutes of Health Research (CIHR) and the Saskatchewan Health Research Foundation. The Canadian Light Source is supported by the NSERC Canada, the National Research Council Canada, the CIHR, the Province of Saskatchewan, Western Economic Diversification Canada, and the University of Saskatchewan.
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