research papers
Mix-and-diffuse serial synchrotron crystallography
aCenter for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany, bPhoton Science, Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany, cDepartment of Physics, California State University, Northridge, California, USA, dThe Hamburg Centre for Ultrafast Imaging, University of Hamburg, 22761 Hamburg, Germany, eDepartment of Physics, University of Hamburg, Luruper Chaussee 149, 22607 Hamburg, Germany, fDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Norway, gDepartment of Physics and Astronomy, Uppsala University, Uppsala, Sweden, hEuropean X-ray Free-Electron Laser Facility GmbH (XFEL), Schenefeld, Germany, iDepartment of Biochemistry, University of Oxford, Oxford, England, jSSRL, SLAC National Accelerator Laboratory, Menlo Park, California, USA, and kFachhochschule Lübeck, Lübeck, Germany
*Correspondence e-mail: kenneth.beyerlein@cfel.de, dominik.oberthuer@cfel.de
Unravelling the interaction of biological macromolecules with ligands and substrates at high spatial and temporal resolution remains a major challenge in structural biology. The development of serial crystallography methods at X-ray free-electron lasers and subsequently at synchrotron light sources allows new approaches to tackle this challenge. Here, a new polyimide tape drive designed for mix-and-diffuse serial crystallography experiments is reported. The structure of lysozyme bound by the competitive inhibitor chitotriose was determined using this device in combination with microfluidic mixers. The electron densities obtained from mixing times of 2 and 50 s show clear binding of chitotriose to the enzyme at a high level of detail. The success of this approach shows the potential for high-throughput drug screening and even structural enzymology on short timescales at bright synchrotron light sources.
Keywords: drug discovery; protein structure; X-ray crystallography; serial crystallography; time-resolved studies; lysozyme.
1. Introduction
The structural information gathered from X-ray crystallographic studies of proteins is incorporated into many stages of drug development (Congreve et al., 2005; Blundell, 2017). For example, cancer, diabetes, inflammation and cardiovascular disease drugs that target kinase proteins have been developed by studying their binding sites (Parang & Sun, 2004), and anti-influenza drugs have been derived from the structure of neuraminidase (Varghese, 1999). More recently, the discovery of a new allosteric binding site in CCR9, where the ligand binds to the side of this chemokine receptor, is being explored as a new possible target for other G-protein coupled receptors (GPCRs; Oswald et al., 2016). X-ray crystallographic fragment-screening studies have also shown the binding of small molecules that have an affinity that is too low to be detected by chemical assays (Schiebel et al., 2016; Patel et al., 2014; Erlanson et al., 2016). Nonetheless, long-standing bottlenecks of solving ligand-bound protein structures include (i) time-consuming screenings of substrate co-crystallization or soaking conditions to produce stable crystals; (ii) deviations from the native protein structure induced by cryogenic temperatures; and (iii) the lack of fast sample-exchange systems for efficient data collection.
Serial crystallography offers a high-throughput platform to overcome these bottlenecks. This method entails using a Bragg intensity set merged from many snapshot diffraction patterns of individual protein microcrystals to solve the protein structure (Chapman et al., 2011; Boutet et al., 2012). The change in paradigm of this approach allows the total scattering signal per crystal to be reduced many thousands of times, enabling measurements from small crystals (Gati et al., 2017) without the need for cryogenic cooling. Its use with the brilliant femtosecond pulses of an X-ray free-electron laser has led to a number of GPCR structures (Liu et al., 2013; Zhang et al., 2015; Kang et al., 2015), de novo phasing (Barends et al., 2014; Yamashita et al., 2015; Colletier et al., 2016) and the study of fast light-induced dynamics of photoactive proteins (Tenboer et al., 2014; Barends et al., 2015; Nango et al., 2016; Pande et al., 2016).
However, most biological macromolecules are not triggered by light. Time-resolved studies of enzymatic reactions thus require different triggering methods, such as the introduction of photo-caged compounds or optogenetic methods (Moffat, 2014), both resulting in artificially light-active proteins. It was also proposed to use temperature jumps or THz-radiation to investigate protein dynamics (Neutze & Moffat, 2012; Moffat, 2014). Another approach is to simply mix one or many crystals of a biological macromolecule with a ligand or substrate (chemical triggering as opposed to physical triggering) (Schmidt, 2013). This was demonstrated in the past for protein crystals using flow-cells (Hajdu et al., 1987). The further development of sample delivery methods (Calvey et al., 2016; Oberthuer et al., 2017) for short mixing times, and the use of very small crystals in serial crystallography leading to short ligand diffusion times into those crystals (Schmidt, 2013), enabled the first successful mix-and-diffuse experiments at the LINAC Coherent Light Source (LCLS) (Stagno et al., 2016; Kupitz et al., 2017), with the aim of unraveling dynamics of the respective biological macromolecules under investigation. Such continuous room-temperature sample delivery also avoids stopped-flow or freeze-trapping experiments in combination with heavy mutations of the native protein that have previously been used to study long-lived intermediates (Stoddard, 1996; Schlichting & Goody, 1997).
Serial crystallography has also been demonstrated at microfocus beamlines of third generation synchrotron sources using exposure times of a few milliseconds (Stellato et al., 2014; Botha et al., 2015; Nogly et al., 2015; Martin-Garcia et al., 2017). This exposure time matches the expected diffusion time of molecules in protein microcrystals (Schmidt, 2013), and might be suitable in many cases for fragment-based drug screening and time-resolved structural enzymology studies. As a first step in this direction, we investigated chitotriose binding to hen egg-white lysozyme via mix-and-diffuse serial crystallography at a synchrotron source.
Chitotriose (N,N′,N′′-triacetylchitotriose; CTO) is a natural product that competitively inhibits lysozyme (Johnson, 1998). Lysozymes degrade bacterial cell walls by cleaving the 1,4-β-linkages between N-acetylmuramic acid and N-acetyl-D-glucosamine (GlcNAc) in (Blake et al., 1967). In addition, some lysozymes, including that from hen egg white, can cleave between GlcNAc residues in chitodextrins such as chitin. The cleft-like polysaccharide-binding site of lysozyme can accommodate up to six GlcNAc residues. Enzymatic cleavage (Cheetham et al., 1992; Vocadlo et al., 2001) occurs at the linkage between the GlcNAc residues occupying subsites D and E (Maenaka et al., 1995; Von Dreele, 2005); consequently, pentasaccharides or longer are preferably processed. Shorter such as chitotriose, chitobiose or monomeric GlcNAc still bind with reasonable affinity to lysozyme, but take longer to be released, making them a natural competitive inhibitor for structural studies (Blake et al., 1967; Cheetham et al., 1992; Hadfield et al., 1994; Maenaka et al., 1995; Vocadlo et al., 2001; Von Dreele, 2005).
2. Experimental procedure
The lysozyme microcrystals used in this study were grown by the rapid-mixing batch method (Stellato et al., 2014). Crystals with sizes of between 6 and 8 µm in diameter were obtained by adding three parts of precipitant [1 M NaCl, 40%(v/v) ethylene glycol, 15%(w/v) PEG 4000, 50 mM acetate buffer pH 3.5 filtered through a 450 nm filter] to one part of lysozyme (Sigma–Aldrich; dissolved to 126 mg ml−1 in 50 mM acetate buffer pH 3.5 and filtered through a 100 nm filter) at 1°C (ThermoStat C, Eppendorf, Germany). The resulting mixture was immediately subjected to rapid mixing and incubated for 30 min at 1°C. Shortly before the X-ray measurements, the suspension of microcrystals was centrifuged at 2000g and the supernatant was removed to achieve a twofold higher concentration of crystals for higher diffraction-pattern collection rates. N,N′,N′′-Triacetylchitotriose {O-[2-Acetamido-2-deoxy-β-D-glucopyranosyl-(1→4)]-O-[2-acetamido-2-deoxy-β-D-glucopyranosyl-(1→4)]-2-acetamido-2-deoxy-D-glucopyranose; Dextra, England} was dissolved in water and mixed with 5 M NaCl solution and 50%(w/v) PEG 4000 to achieve a concentration of 19.9 mM CTO in 1 M NaCl and 15% PEG 4000 before mixing with the microcrystal suspension.
The serial crystallography experiment was performed on the P11 beamline at PETRA III (Burkhardt et al., 2016) using 13.5 keV photon energy X-rays focused to a spot of 4 × 8 µm (width × height) with a of 1.6 × 1013 photons s−1. A rotating beam chopper made of a 4 mm thick brass plate with holes for the X-rays to pass through was placed upstream of the focusing optics to generate X-ray pulses of 7.5 ms duration at a frequency of 25 Hz. The signal from a photodiode placed downstream of the chopper was used to trigger the readout of a PILATUS 6M detector, resulting in the collection of one diffraction image per pulse. The chopper was necessary to avoid sample heating caused by continuous exposure of the buffer to the intense focus and to allow control of the exposure time independent of sample delivery.
Sample delivery of the microcrystals to the X-ray focus was performed using a specially developed tape-drive device. As shown in Fig. 1, the lysozyme microcrystal suspension was deposited onto the surface of polyimide tape that was continuously drawn from a feeder roll to a collector roll. The movement of the tape under the sample capillary formed a stream on the tape that was aligned with the X-ray focus. A set of rollers and motors controlled the tape speed and kept the tape under slight tension. During the experiment, a constant tape speed of 0.6 mm s−1 was used. This speed was chosen as it resulted in a translation distance of 24 µm between frames, which was fast enough to avoid repeated crystal exposures. As-received rolls of nonsticky polyimide tape with a width of 6 mm and a thickness of 12 µm (Caplinq, The Netherlands) were directly mounted on the device. The tape position was vertically confined by grooves in the tape-drive body that matched the width of the tape, as shown in Fig. 1(b). A photograph of the setup during the experiment can be seen in Supplementary Fig. S1. Our tape-drive design was derived from a previous device used at the National Synchrotron Light Source (Roessler et al., 2013) and LCLS (Roessler et al., 2016), in which a tape conveyor belt transported acoustically ejected protein crystal suspension droplets of 10–100 µm in diameter to a microfocused X-ray beam. In contrast to this device, our tape was oriented such that the X-ray beam was incident normal to the tape. Using this configuration, we had a combined thickness of tape and sample solution of only around 50 µm, resulting in a low scattered X-ray background level.
The microcrystal suspension was placed in a reservoir that was attached to a motor programmed to rotate back and forth by 180° to prevent the protein crystals from settling during measurement. One side of the reservoir was connected to a water supply that was pressurized by an Elveflow OB1 flow controller to hydraulically actuate a plunger in the reservoir. The other side was connected to a borosilicate capillary with an internal diameter of 100 µm (Polymicro, USA), through which the microcrystal suspension flowed to a mixer before being deposited onto the tape. From a second reservoir, the aqueous ligand solution was also delivered to the mixer. Equal flow rates of microcrystal suspension and ligand solution of 0.6 µl min−1 were kept constant throughout the experiment, ensuring a 1:1 mixing ratio.
Two different mixing times, 2 and 50 s, were measured using different mixer configurations based on a three-port microfluidic T-junction (Upchurch). For the 50 s mixing time, mixing was performed by flowing crystal suspension and ligand solution into the T-junction and connecting an outlet capillary that transports the mixed solution to the tape (Fig. 2a). The length of the outlet capillary was 120 mm, resulting in a 48 s transport time of the mixed solutions to the tape surface. The tip of the sample-delivery capillary contacted the tape about 1 mm away from the X-ray focus. The translation time of the crystals on the tape was then about 2 s, resulting in a total mixing time of 50 s. For the 2 s mixing time, the protein crystal and ligand solutions were mixed at the capillary–tape contact point. This was accomplished by feeding the crystal suspension capillary (inner diameter 75 µm, outer diameter 150 µm) through the T-junction and into a square capillary with an internal edge length of 150 µm (Fig. 2b). The ligand solution then flowed around the crystal suspension capillary through the remaining space in the square capillary to mix with the protein solution on the tape. The tip of this concentric transport capillary was also positioned around 1 mm away from the X-ray focus, resulting in a mixing time of around 2 s.
Prior to the experiment, a series of tests were performed to understand the important parameters that determine the sample-stream width and thickness. Here, the width refers to the distance which the stream laterally spreads on the tape, while the thickness refers to the height of the stream normal to the tape surface. Assuming a micrometre focus and a frame rate of 25 Hz, tape speeds in the range of millimetres per second are sufficient to ensure that fresh sample is transported into the focus between frames. Capillaries of different sizes and contact angles were tested, but it was found that the sample-stream width for this slow tape speed was primarily determined by the sample flow rate and surface-wetting properties. A simple model assuming that the sample flow rate, f, is equal to the tape-translation speed, v, multiplied by the cross-sectional area of the stream was able to fit the dependence of the experimentally observed stream width on the flow rate and tape speed. Assuming a rectangular stream the thickness of the sample stream is then given by t = f/(vw), where w represents the stream width. Using this expression and the observed width, streams of the lysozyme crystal suspension on untreated polyimide tape were found to keep an aspect ratio (t/w) of 0.08, consistent with a constant wetting angle. The total flow rate of 1.2 µl min−1 and tape speed of 0.6 mm s−1 used during the experiment resulted in a stream width of 500 µm measured by an inline microscope, which corresponds to a thickness of 40 µm.
The average time necessary for a ligand molecule to diffuse to a lysozyme binding site was substantially different for each of the mixer configurations. The diffusion time of a ligand molecule in solution, tD, can be calculated from the average diffusion distance, x, and D, according to tD = 〈x〉2/2D. The of chitotriose in water has been measured to be 3.5 × 10−6 cm2 s−1 (Groves et al., 2004). Considering the 50 s mixing case, mixing was performed in the T-junction, so the longest diffusion distance is approximately the capillary internal diameter of 100 µm. This results in a maximum time of 14 s for chitotriose to diffuse in solution for this mixer. For the 2 s case, mixing is performed on the tape, where the concentric geometry of the capillaries should result in a layering of the solutions, as illustrated in Fig. 2(b). An estimate of the diffusion time is then found from half of the thickness of the protein crystal suspension layer, as the ligand is approaching the centre from all sides. We assume that the wicking and spreading of the solutions onto the tape quickly results in uniform layers. In this case, the relative thicknesses of the layers are given by the flow rates. Using the total stream thickness of 40 µm, and assuming ligand:crystal:ligand solution layer thicknesses of 10:20:10 µm, a maximum solution diffusion time of 150 ms is then found for this case. The diffusion time of chitotriose from the surface to the centre of a 10 µm lysozyme microcrystal should be around 5 ms (Schmidt, 2013). Therefore, for both mixer configurations diffusion through the solution is expected to take the most time. These diffusion times also serve as an estimate in the uncertainty in the starting time of the binding reaction for the two mixer configurations, as crystals at different positions in the stream would be exposed to the ligand molecules at different times in this range. In this regard, mixing on the tape allows a much more precisely defined reaction time.
Data were continuously collected for 8.5 h in each mixing configuration. This resulted in a total consumption of around 300 µl (18.9 mg) of lysozyme for each data set. The incoming data stream was monitored for hits using the OnDA software package (Mariani et al., 2016) and the live hit rate was displayed for fast feedback during the experiment. An offline version of OnDA called offDA (Mariani et al., 2016) was used to identify individual `hits' from the complete set of collected diffraction patterns and convert them to HDF5 format. The detected hits were then indexed, integrated and merged in 4/mmm to a resolution cutoff of 1.70 Å using the CrystFEL analysis software for serial crystallographic data (White et al., 2012, 2013, 2016; White, 2014).
MTZ files for crystallographic data processing were generated from CrystFEL merged reflection datafiles using F2MTZ from the CCP4 suite (Winn et al., 2011). Figures of merit were calculated using compare_hkl (Rsplit, CC1/2 and CC*) and check_hkl (SNR, multiplicity and completeness), which are both part of CrystFEL.
The lysozyme structure with PDB code 4et8 (Boutet et al., 2012) was used as the starting model for both mixing cases. Owing to non-isomorphism of the collected data sets with that of 4et8, Rfree flags were generated randomly using phenix.refine (Afonine et al., 2012), and the same set of Rfree flags was used for both data sets. Initial was carried out using phenix.refine, with all isotropic atomic displacement parameters (ADPs) set to 20 Å2 and using simulated annealing. Ligands were then automatically placed in the initial Fo − Fc map using LigandFit (Terwilliger et al., 2006, 2007) in PHENIX (Adams et al., 2010), giving only the three-letter code CTO for N,N′,N′′-triacetylchitotriose as additional input. Restraints for CTO were generated using ReadySet! (Moriarty et al., 2009) in PHENIX, followed by iterative cycles of restrained using phenix.refine and manual model rebuilding using Coot (Emsley et al., 2010). CTO grouped occupancy was refined in phenix.refine. After the isotropic ADPs of the tightest bound sugar ring of CTO matched the isotropic ADPs of the neighbouring lysozyme residues. Ordered solvent molecules and ions [chloride (Cl−) and sodium (Na+)] were placed in Coot, followed by further rounds of in phenix.refine to convergence. Polygon (Urzhumtseva et al., 2009) and MolProbity (Chen et al., 2010) were used for validation of the final model and ValLigURL (Kleywegt & Harris, 2007) was used to check the geometry of the refined CTO molecule.
To assess the influence of the starting lysozyme model, structure phenix.refine starting with the structure of lysozyme co-crystallized with N,N′,N′′-triacetylchitotriose (PDB entry 1hew; Cheetham et al., 1992). Before starting all isotropic ADPs were reset to 20 Å2, but no further modification of the structure was made as the ordered solvent and NAG-NAG-NAG bound to the were unchanged. After initial (rigid body, xyz coordinates, isotropic ADP, simulated annealing and real space), the resulting model and maps were inspected using Coot, followed by iterative cycles of restrained using phenix.refine and manual model rebuilding using Coot. After the addition of riding H atoms with ReadySet! in PHENIX, the structural model was edited manually in Coot to remove the automatically placed, but chemically incorrect, H atom from the glycosidic O atom between C1 and C4 of the individual NAG residues. Polygon and MolProbity were used for validation of the final model. Final models from starting models based on both PDB entries 4et8 and 1hew for both mixing cases were compared with each other and with PDB entry 1hew in PyMOL.
was also carried out in both mixing cases using3. Results
A total of 147 407 and 142 265 indexable diffraction images were collected for the 2 and 50 s mixing times, respectively. This corresponded to 24% (2 s) and 27% (50 s) of the total collected detector exposures (`indexing fraction'), resulting in an effective data-collection rate of 6–7 Hz (see Table 1 for details). Compared with the earlier serial synchrotron experiment by Stellato and coworkers, we have reduced the sample consumption drastically from 6.25 µg to 89 ng of protein consumed per indexable detector frame. This was mainly owing to the markedly lower sample flow rate of 600 nl min−1, combined with improvements in the data-analysis pipeline.
|
The electron-density maps obtained starting from the ligand-free model (PDB entry 4et8) described previously are shown in Fig. 3. In both mixing cases, the 2Fo − Fc and Fo − Fc maps reveal the presence of a large molecule near the active site. Phasing with a starting model containing 1→4 linked NAG-NAG-NAG (PDB entry 1hew) shows that the mixed-in ligand bound to subsites A, B and C in both cases (see Fig. 4 and Supplementary Fig. S2), which agrees with previous crystallographic (Cheetham et al., 1992) and NMR (Raftery et al., 1969) studies.
To minimize model bias, we based our a and 3d) obtained from the ligand-free starting model PDB entry 4et8 (Boutet et al., 2012). Using the Fo − Fc map, LigandFit from PHENIX (Terwilliger et al., 2006, 2007) placed one molecule of CTO in the active site (see Figs. 3b and 3e). In both cases, the automatically placed orientation of the molecule agreed well with the known bound CTO positions in lysozyme (Cheetham et al., 1992). Inspection of the map and model revealed only slight differences between the mixing cases, showing that a mixing time of only about 2 s is sufficient to populate 90% of the lysozyme active sites, found from grouped occupancy As reported in the literature (Cheetham et al., 1992), the isotropic atomic displacement parameters of the atoms in the three NAG rings increased from the most tightly bound ring (close to binding site C) to the ring bound to binding site A. For the assessment of occupancy, we thus followed the rule that the isotropic ADP of the tightest bound NAG should correspond to that of the surrounding (binding) amino-acid residues. This resulted in CTO occupancies of 0.91 and 0.97 for the 2 and 50 s mixing times, respectively. The occupancy for the 50 s mixing time corresponds to that found in a bound single-crystal study (Cheetham et al., 1992). Final rounds of were carried out with these CTO occupancies; the resulting figures of merit are given in Table 1 and final maps and structural models can be seen in Figs. 3(c) and 3(f).
on the initial electron-density maps (see Figs. 3The overall root-mean-square deviation (r.m.s.d.) between the final refined models from both mixing times was 0.056 Å after alignment with PyMOL. The r.m.s.d.s between the starting model and final refined models were 0.152 Å (2 s) and 0.151 Å (50 s). Structural alignment with the model derived from co-crystallization of HEWL with CTO (PDB entry 1hew) gave r.m.s.d. values of 0.185 Å (2 s) and 0.189 Å (50 s).
Analysis of the hydrogen bonds between chitotriose and lysozyme using PyMOL, PDBsum (Laskowski, 2009) and LigPlot+ (Laskowski & Swindells, 2011) revealed that substrate binding occurred in both mixing cases to binding subsites A, B and C, in agreement with a previous study (Cheetham et al., 1992). A comparison of the 50 s structural model with the 1hew model is shown in Fig. 4, while a comparison of the 2 and 50 s mixing cases is shown in Supplementary Fig. S2. In both structures sugar ring 1, located in binding subsite A, binds to lysozyme via a hydrogen bond between OD2 of Asp101 and the acetamido N atom in ring 1 (see Supplementary Figs. S3 and S4), while in the corresponding 1hew structure NAG1 binds to Asn103 through a hydrogen bond between OD1 and the hydroxyl O atom at position 6 of the pyranose ring and Asp101 only forms a hydrogen bond to NAG2. This corresponds to an almost identical bond between Asp101 in the 2 and 50 s mixing cases and the same hydroxyl O atom in ring 2 of CTO. The slight difference is that in the 2 s mixing case Asn103 is connected to CTO via a bound water molecule, whilst in the 50 s mixing case this water is missing and Asn103 only interacts with CTO through van der Waals forces.
Analysis of the extended solvent network between the bound ligand and lysozyme shows that for the 50 s mixing time four ordered solvent molecules are involved in binding (see Supplementary Fig. S3): three of these (O148, O170 and O180) directly form hydrogen bonds to CTO, while the fourth (O150) is connected to CTO through a hydrogen bond to O180. This fourth water stabilizes substrate binding through hydrogen bonds to Ile98, Asn103 and Gly104. O170 connects CTO to Gln57 and one of the alternate conformers of Asp52; together with Glu35 the latter forms the catalytic site of HEWL. O148 is connected to O170 and Ala107, both of which form hydrogen bonds to CTO and to Val109, which is part of binding subsite D (see Fig. 3). The water network of the 2 s case is far more extended (see Supplementary Fig. 4), especially along the cleft that forms the catalytic site. In the 50 s case only two waters adhere directly or indirectly (through other water molecules) to CTO along this cleft, whilst a total of eight water molecules (O151, O152, O166, O167, O171, O174, O194 and O210) form the extended solvent network in the 2 s case (see Supplementary Fig. 4). These ordered solvent molecules connect CTO to residues Phe34, Glu35, Asp52, Gln57, Ala107 and Val109, which are all part of the sugar-binding cleft (subsites C, D and E). Three additional solvent molecules connect CTO to residues Ile98, Asp101, Asn103 and Gly104, such that a total of 11 water molecules are involved in CTO binding in the 2 s case, as opposed to four water molecules in the 50 s case.
Contrary to our findings, a powder diffraction study found that CTO preferentially binds to subsites B, C and D (BCD; Von Dreele, 2005). The authors attributed the difference from previous crystallographic studies to the fact that CTO bound to positions BCD is hydrolyzed much faster than CTO bound to positions A, B and C (ABC). Thus, only CTO bound to subsites ABC is visible in crystallographic studies because these experiments take much longer from crystallization to data collection. In our experiment, we used a microcrystalline slurry and the time between mixing in CTO to probing the sample with X-rays was only a few seconds, as opposed to several minutes in the powder diffraction study. If binding of CTO to the BCD sites were indeed faster than to the ABC sites, we would expect to observe a mixture of both binding modes. As already discussed, we observed a clear preferred binding of CTO to subsites ABC. The 2mFo − DFc and mFo − DFc maps shown in Supplementary Fig. S5 contain only weak features at the BCD subsites at σ levels below 0.6 and 2.5, respectively. Furthermore, starting from the powder diffraction structure (PDB entry 1sf6; Von Dreele, 2005) results in a model with a clear preference for the ABC binding mode. Supplementary Fig. S5 shows positive difference electron density at the position of sugar ring 1 of CTO from our model (bound to subsite A) and almost no electron density around the NAG molecule that would correspond to binding to subsite D.
4. Conclusion
We have demonstrated that serial synchrotron crystallography can be used for mix-and-diffuse studies of ligand binding just 2 s after the ligand is mixed inline with the protein microcrystal suspension. The small lysozyme crystal size in our experiment resulted in diffusion times that were sufficiently short that nearly full occupancy of the bound substrate could be achieved in this time. This overcomes many technological obstacles to native protein drug screening, and also opens up the possibility of investigating enzyme structural dynamics on a similar timescale. Further advances that may reduce the total collection time of a data set to seconds are on the horizon. Detectors are becoming available that are able to collect thousands of frames per second (Henrich et al., 2011; Pennicard et al., 2013; Redford et al., 2016), which could be combined with higher speed crystal delivery at brighter diffraction-limited storage rings (Eriksson et al., 2014). Recently, it was shown that by using the high of nonmonochromatic `pink-beam' undulator radiation at a synchrotron facility, single patterns from protein microcrystals could be acquired from 100 ps X-ray pulses arising from single electron bunches (Meents et al., 2017). The advantage of using the broader bandwidth was demonstrated by the requirement for only 50 such exposures to generate a full diffraction data set.
Supporting information
Supplementary Figures S1-S5. DOI: https://doi.org/10.1107/S2052252517013124/ec5004sup1.pdf
Acknowledgements
The authors would like to thank Rachel Beyerlein and Jelke Wibbeke for assistance with the illustrations. Support for AO was provided by the DESY Summer Student Program. The work of the authors affiliated with the Center for Free-Electron Laser Science was funded by the Helmholtz Association through programme-oriented funds.
Funding information
This work was supported by the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013) through the Consolidator Grant COMOTION (ERC-614507-Küpper), by the excellence cluster `The Hamburg Center for Ultrafast Imaging – Structure, Dynamics and Control of Matter at the Atomic Scale' of the Deutsche Forschungsgemeinschaft (CUI, DFG-EXC1074) and by the Helmholtz Gemeinschaft through the `Impuls- und Vernetzungsfond'.
References
Adams, P. D. et al. (2010). Acta Cryst. D66, 213–221. Web of Science CrossRef CAS IUCr Journals Google Scholar
Afonine, P. V., Grosse-Kunstleve, R. W., Echols, N., Headd, J. J., Moriarty, N. W., Mustyakimov, M., Terwilliger, T. C., Urzhumtsev, A., Zwart, P. H. & Adams, P. D. (2012). Acta Cryst. D68, 352–367. Web of Science CrossRef CAS IUCr Journals Google Scholar
Barends, T. R. M. et al. (2015). Science, 350, 445–450. Web of Science CrossRef CAS PubMed Google Scholar
Barends, T. R. M., Foucar, L., Botha, S., Doak, R. B., Shoeman, R. L., Nass, K., Koglin, J. E., Williams, G. J., Boutet, S., Messerschmidt, M. & Schlichting, I. (2014). Nature (London), 505, 244–247. Web of Science CrossRef CAS PubMed Google Scholar
Blake, C. C. F., Johnson, L. N., Mair, G. A., North, A. C. T., Phillips, D. C. & Sarma, V. R. (1967). Proc. R. Soc. B Biol. Sci. 167, 378–388. CrossRef CAS Web of Science Google Scholar
Blundell, T. L. (2017). IUCrJ, 4, 308–321. Web of Science CrossRef CAS PubMed IUCr Journals Google Scholar
Botha, S., Nass, K., Barends, T. R. M., Kabsch, W., Latz, B., Dworkowski, F., Foucar, L., Panepucci, E., Wang, M., Shoeman, R. L., Schlichting, I. & Doak, R. B. (2015). Acta Cryst. D71, 387–397. Web of Science CrossRef IUCr Journals Google Scholar
Boutet, S. et al. (2012). Science, 337, 362–364. CrossRef CAS PubMed Google Scholar
Burkhardt, A., Pakendorf, T., Reime, B., Meyer, J., Fischer, P., Stübe, N., Panneerselvam, S., Lorbeer, O., Stachnik, K., Warmer, M., Rödig, P., Göries, D. & Meents, A. (2016). Eur. Phys. J. Plus, 131, 56. Web of Science CrossRef Google Scholar
Calvey, G. D., Katz, A. M., Schaffer, C. B. & Pollack, L. (2016). Struct. Dyn. 3, 054301. Web of Science CrossRef PubMed Google Scholar
Chapman, H. N. et al. (2011). Nature (London), 470, 73–77. Web of Science CrossRef CAS PubMed Google Scholar
Cheetham, J. C., Artymiuk, P. J. & Phillips, D. C. (1992). J. Mol. Biol. 224, 613–628. CrossRef PubMed CAS Web of Science Google Scholar
Chen, V. B., Arendall, W. B., Headd, J. J., Keedy, D. A., Immormino, R. M., Kapral, G. J., Murray, L. W., Richardson, J. S. & Richardson, D. C. (2010). Acta Cryst. D66, 12–21. Web of Science CrossRef CAS IUCr Journals Google Scholar
Colletier, J.-P. et al. (2016). Nature (London), 539, 43–47. Web of Science CrossRef CAS PubMed Google Scholar
Congreve, M., Murray, C. W. & Blundell, T. L. (2005). Drug Discov. Today, 10, 895–907. Web of Science CrossRef PubMed CAS Google Scholar
Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. (2010). Acta Cryst. D66, 486–501. Web of Science CrossRef CAS IUCr Journals Google Scholar
Eriksson, M., van der Veen, J. F. & Quitmann, C. (2014). J. Synchrotron Rad. 21, 837–842. Web of Science CrossRef CAS IUCr Journals Google Scholar
Erlanson, D. A., Fesik, S. W., Hubbard, R. E., Jahnke, W. & Jhoti, H. (2016). Nat. Rev. Drug Discov. 15, 605–619. Web of Science CrossRef CAS PubMed Google Scholar
Gati, C. et al. (2017). Proc. Natl Acad. Sci. USA, 114, 2247–2252. Web of Science CrossRef CAS PubMed Google Scholar
Groves, P., Rasmussen, M. O., Molero, M. D., Samain, E., Cañada, F. J., Driguez, H. & Jiménez-Barbero, J. (2004). Glycobiology, 14, 451–456. Web of Science CrossRef PubMed CAS Google Scholar
Hadfield, A. T., Harvey, D. J., Archer, D. B., MacKenzie, D. A., Jeenes, D. J., Radford, S. E., Lowe, G., Dobson, C. M. & Johnson, L. N. (1994). J. Mol. Biol. 243, 856–872. CrossRef CAS PubMed Web of Science Google Scholar
Hajdu, J., Acharya, K. R., Stuart, D. I., McLaughlin, P. J., Barford, D., Oikonomakos, N. G., Klein, H. & Johnson, L. N. (1987). EMBO J. 6, 539–546. CAS PubMed Web of Science Google Scholar
Henrich, B. et al. (2011). Nucl. Instrum. Methods Phys. Res. A, 633, S11–S14. Web of Science CrossRef CAS Google Scholar
Johnson, L. N. (1998). Nat. Struct. Biol. 5, 942–944. Web of Science CrossRef CAS PubMed Google Scholar
Kang, Y. et al. (2015). Nature (London), 523, 561–567. Web of Science CrossRef CAS PubMed Google Scholar
Kleywegt, G. J. & Harris, M. R. (2007). Acta Cryst. D63, 935–938. Web of Science CrossRef IUCr Journals Google Scholar
Kupitz, C. et al. (2017). Struct. Dyn. 4, 044003. Web of Science CrossRef PubMed Google Scholar
Laskowski, R. A. (2009). Nucleic Acids Res. 37, D355–D359. Web of Science CrossRef PubMed CAS Google Scholar
Laskowski, R. A. & Swindells, M. B. (2011). J. Chem. Inf. Model. 51, 2778–2786. Web of Science CrossRef CAS PubMed Google Scholar
Liu, W. et al. (2013). Science, 342, 1521–1524. Web of Science CrossRef CAS PubMed Google Scholar
Maenaka, K., Matsushima, M., Song, H., Sunada, F., Watanabe, K. & Kumagai, I. (1995). J. Mol. Biol. 247, 281–293. CrossRef CAS PubMed Web of Science Google Scholar
Mariani, V., Morgan, A., Yoon, C. H., Lane, T. J., White, T. A., O'Grady, C., Kuhn, M., Aplin, S., Koglin, J., Barty, A. & Chapman, H. N. (2016). J. Appl. Cryst. 49, 1073–1080. Web of Science CrossRef CAS IUCr Journals Google Scholar
Martin-Garcia, J. M. et al. (2017). IUCrJ, 4, 439–454. Web of Science CrossRef CAS PubMed IUCr Journals Google Scholar
Meents, A. (2017). Nat. Commun. doi:10.1038/s41467-017-01417-3. Google Scholar
Moffat, K. (2014). Philos. Trans. R. Soc. B Biol. Sci. 369, 20130568. Web of Science CrossRef Google Scholar
Moriarty, N. W., Grosse-Kunstleve, R. W. & Adams, P. D. (2009). Acta Cryst. D65, 1074–1080. Web of Science CrossRef CAS IUCr Journals Google Scholar
Nango, E. et al. (2016). Science, 354, 1552–1557. Web of Science CrossRef CAS PubMed Google Scholar
Neutze, R. & Moffat, K. (2012). Curr. Opin. Struct. Biol. 22, 651–659. Web of Science CrossRef CAS PubMed Google Scholar
Nogly, P. et al. (2015). IUCrJ, 2, 168–176. Web of Science CrossRef CAS PubMed IUCr Journals Google Scholar
Oberthuer, D. et al. (2017). Sci. Rep. 7, 44628. Web of Science CrossRef PubMed Google Scholar
Oswald, C., Rappas, M., Kean, J., Doré, A. S., Errey, J. C., Bennett, K., Deflorian, F., Christopher, J. A., Jazayeri, A., Mason, J. S., Congreve, M., Cooke, R. M. & Marshall, F. H. (2016). Nature (London), 540, 462–465. Web of Science CrossRef CAS PubMed Google Scholar
Pande, K. et al. (2016). Science, 352, 725–729. Web of Science CrossRef CAS PubMed Google Scholar
Parang, K. & Sun, G. (2004). Curr. Opin. Drug Discov. Devel. 7, 617–629. Web of Science PubMed CAS Google Scholar
Patel, D., Bauman, J. D. & Arnold, E. (2014). Prog. Biophys. Mol. Biol. 116, 92–100. Web of Science CrossRef CAS PubMed Google Scholar
Pennicard, D., Lange, S., Smoljanin, S., Hirsemann, H., Graafsma, H., Epple, M., Zuvic, M., Lampert, M.-O., Fritzsch, T. & Rothermund, M. (2013). J. Phys. Conf. Ser. 425, 062010. CrossRef Google Scholar
Raftery, M. A., Dahlquist, F. W., Parsons, S. M. & Wolcott, R. G. (1969). Proc. Natl Acad. Sci. USA, 62, 44–51. CrossRef CAS PubMed Web of Science Google Scholar
Redford, S. et al. (2016). J. Instrum. 11, C11013. Web of Science CrossRef Google Scholar
Roessler, C. G. et al. (2016). Structure, 24, 631–640. Web of Science CrossRef CAS PubMed Google Scholar
Roessler, C. G., Kuczewski, A., Stearns, R., Ellson, R., Olechno, J., Orville, A. M., Allaire, M., Soares, A. S. & Héroux, A. (2013). J. Synchrotron Rad. 20, 805–808. Web of Science CrossRef CAS IUCr Journals Google Scholar
Schiebel, J., Radeva, N., Krimmer, S. G., Wang, X., Stieler, M., Ehrmann, F. R., Fu, K., Metz, A., Huschmann, F. U., Weiss, M. S., Mueller, U., Heine, A. & Klebe, G. (2016). ACS Chem. Biol. 11, 1693–1701. Web of Science CrossRef CAS PubMed Google Scholar
Schlichting, I. & Goody, R. S. (1997). Methods Enzymol. 277, 467–490. CrossRef PubMed CAS Web of Science Google Scholar
Schmidt, M. (2013). Adv. Condens. Matter Phys. 2013, 1–10. Web of Science CrossRef Google Scholar
Stagno, J. R. et al. (2016). Nature (London), 541, 242–246. Web of Science CrossRef PubMed Google Scholar
Stellato, F. et al. (2014). IUCrJ, 1, 204–212. Web of Science CrossRef CAS PubMed IUCr Journals Google Scholar
Stoddard, B. L. (1996). Pharmacol. Ther. 70, 215–256. CrossRef CAS PubMed Web of Science Google Scholar
Tenboer, J. et al. (2014). Science, 346, 1242–1246. Web of Science CrossRef CAS PubMed Google Scholar
Terwilliger, T. C., Adams, P. D., Moriarty, N. W. & Cohn, J. D. (2007). Acta Cryst. D63, 101–107. Web of Science CrossRef CAS IUCr Journals Google Scholar
Terwilliger, T. C., Klei, H., Adams, P. D., Moriarty, N. W. & Cohn, J. D. (2006). Acta Cryst. D62, 915–922. Web of Science CrossRef CAS IUCr Journals Google Scholar
Urzhumtseva, L., Afonine, P. V., Adams, P. D. & Urzhumtsev, A. (2009). Acta Cryst. D65, 297–300. Web of Science CrossRef CAS IUCr Journals Google Scholar
Varghese, J. N. (1999). Drug Dev. Res. 46, 176–196. CrossRef CAS Google Scholar
Vocadlo, D. J., Davies, G. J., Laine, R. & Withers, S. G. (2001). Nature (London), 412, 835–838. Web of Science CrossRef PubMed CAS Google Scholar
Von Dreele, R. B. (2005). Acta Cryst. D61, 22–32. Web of Science CrossRef CAS IUCr Journals Google Scholar
White, T. A. (2014). Philos. Trans. R. Soc. B Biol. Sci. 369, 20130330. Web of Science CrossRef Google Scholar
White, T. A., Barty, A., Stellato, F., Holton, J. M., Kirian, R. A., Zatsepin, N. A. & Chapman, H. N. (2013). Acta Cryst. D69, 1231–1240. Web of Science CrossRef CAS IUCr Journals Google Scholar
White, T. A., Kirian, R. A., Martin, A. V., Aquila, A., Nass, K., Barty, A. & Chapman, H. N. (2012). J. Appl. Cryst. 45, 335–341. Web of Science CrossRef CAS IUCr Journals Google Scholar
White, T. A., Mariani, V., Brehm, W., Yefanov, O., Barty, A., Beyerlein, K. R., Chervinskii, F., Galli, L., Gati, C., Nakane, T., Tolstikova, A., Yamashita, K., Yoon, C. H., Diederichs, K. & Chapman, H. N. (2016). J. Appl. Cryst. 49, 680–689. Web of Science CrossRef CAS IUCr Journals Google Scholar
Winn, M. D. et al. (2011). Acta Cryst. D67, 235–242. Web of Science CrossRef CAS IUCr Journals Google Scholar
Yamashita, K. et al. (2015). Sci. Rep. 5, 14017. Web of Science CrossRef PubMed Google Scholar
Zhang, H. et al. (2015). Cell, 161, 833–844. Web of Science CrossRef CAS PubMed Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.