Single-millisecond mix-and-inject experiments are presented on ligand binding to an enzyme performed at the European Free-Electron Laser with high X-ray repetition rates.
Keywords: substrate diffusion in crystals, antibiotic resistance, β-lactamases, enzyme kinetics, irreversible inhibition, mix-and-inject serial crystallography, serial femtosecond crystallography, European X-ray Free-Electron Laser, megahertz pulse-repetition rate, protein structure determination, drug discovery, ceftriaxone, sulbactam, X-ray crystallography, enzyme mechanisms
Abstract
Here, we illustrate what happens inside the catalytic cleft of an enzyme when substrate or ligand binds on single-millisecond timescales. The initial phase of the enzymatic cycle is observed with near-atomic resolution using the most advanced X-ray source currently available: the European XFEL (EuXFEL). The high repetition rate of the EuXFEL combined with our mix-and-inject technology enables the initial phase of ceftriaxone binding to the Mycobacterium tuberculosis β-lactamase to be followed using time-resolved crystallography in real time. It is shown how a diffusion coefficient in enzyme crystals can be derived directly from the X-ray data, enabling the determination of ligand and enzyme–ligand concentrations at any position in the crystal volume as a function of time. In addition, the structure of the irreversible inhibitor sulbactam bound to the enzyme at a 66 ms time delay after mixing is described. This demonstrates that the EuXFEL can be used as an important tool for biomedically relevant research.
1. Introduction
Combatting the rise of infectious diseases requires a collaborative and interdisciplinary approach. Structural biologists can contribute by investigating the reaction mechanisms of biomedically significant enzymes as a structural basis to develop cures for diseases. Bacterial infections with strains that are resistant to currently available antibiotics are on the rise (Cassini et al., 2019 ▸). A study sponsored by the British government projected that in the near future more people will die from untreatable bacterial infections than from cancer (https://amr-review.org/). Bacterial enzymes that inactivate currently available drugs are central to antibiotic resistance (Fair & Tor, 2014 ▸), and unraveling the catalytic mechanism of these enzymes will be beneficial for the development of novel antibiotics (Imming et al., 2006 ▸). β-Lactamases such as the Mycobacterium tuberculosis β-lactamase [BlaC; Fig. 1 ▸(a)] catalytically inactivate β-lactam antibiotics. β-Lactamases are responsible for the emergence of multidrug- and extensively drug-resistant bacterial strains (Smith et al., 2013 ▸). Infectious diseases that could be treated with antibiotics in the past may become untreatable. This warrants the investigation of the structure and function of these enzymes.
Using time-resolved crystallography, structures of intermediates and kinetic mechanisms can be extracted simultaneously from the same set of X-ray data (Moffat, 2001 ▸; Schmidt, 2008 ▸). At free-electron lasers (XFELs) small, micrometre- and submicrometre-sized, crystals can be examined due to the immense X-ray pulse intensity (Chapman et al., 2011 ▸). The microcrystals are destroyed by the pulses, and new crystals must be delivered to the X-ray interaction point in a serial fashion. This method has been termed serial femtosecond crystallography (SFX; Chapman et al., 2011 ▸; Boutet et al., 2012 ▸). Since the XFEL pulses are of femtosecond duration, diffraction patterns are collected before the crystals suffer significant radiation damage, resulting in X-ray structures that are essentially damage-free (Lomb et al., 2011 ▸; Nass, 2019 ▸; Neutze et al., 2000 ▸) and are suspended in their current reaction state. Most time-resolved crystallographic experiments at XFELs are of the pump–probe type. An optical laser pulse triggers a reaction in the crystallized molecules. Structures are probed by X-ray pulses after a controlled delay (Tenboer et al., 2014 ▸; Barends et al., 2015 ▸; Coquelle et al., 2018 ▸; Nogly et al., 2018 ▸; Kern et al., 2018 ▸; Pandey et al., 2019 ▸; Skopintsev et al., 2020 ▸; Dods et al., 2021 ▸; Yun et al., 2021 ▸). Due to the ultrashort nature of both X-ray and optical laser pulses, the experiments can reach subpicosecond time resolutions (Hartmann et al., 2014 ▸; Barends et al., 2015 ▸; Pande et al., 2016 ▸; Skopintsev et al., 2020 ▸). Photoactivation requires a light-sensitive cofactor, a chromophore, located in the protein to absorb the light. Light absorption must trigger a reaction that either promotes catalysis directly (Holtorf et al., 1995 ▸; Li et al., 2010 ▸; Sorigué et al., 2017 ▸, 2021 ▸) or regulates the activity of the enzyme (Takala et al., 2014 ▸; Gourinchas et al., 2017 ▸; Carrillo et al., 2021 ▸). Most enzymes, however, are neither activated nor regulated by light, meaning that the technique can only be directly applied in a narrow range of cases. Broader application requires great effort and chemical expertise to either engineer photoactive enzymes or to design photoactive compounds that can by soaked into, and activated in, enzyme crystals (Šrajer & Schmidt, 2017 ▸; Zaitsev-Doyle et al., 2019 ▸; Mehrabi, Schulz, Dsouza et al., 2019 ▸).
With the ‘mix-and-inject’ technique (Schmidt, 2013 ▸; Stagno et al., 2017 ▸; Kupitz et al., 2017 ▸; Olmos et al., 2018 ▸; Mehrabi, Schulz, Agthe et al., 2019 ▸) photoactivation is not necessary. The substrate is rapidly mixed with small enzyme crystals during sample delivery (Calvey et al., 2019 ▸). Mixing occurs at a well controlled location ‘en route’ to the X-ray beam. During the time delay Δt m that occurs between mixing and injection, the substrate diffuses into the crystals and binds to the enzyme. The complex formed by the substrate and the enzyme then initiates the enzymatic cycle. Variation of Δt m allows the measurement of rate coefficients together with atomic resolution structures which can be associated with intermediate states of the protein reactions (Kupitz et al., 2017 ▸; Olmos et al., 2018 ▸; Mehrabi, Schulz, Agthe et al., 2019 ▸). This can reveal the mechanism of enzyme action at the molecular level or the binding of a drug molecule. The combination of serial femtosecond crystallography with mixing before injection has been denoted ‘mix-and-inject serial crystallography’ (MISC; Kupitz et al., 2017 ▸; Olmos et al., 2018 ▸). The feasibility of MISC has previously been demonstrated with BlaC on longer millisecond timescales (Kupitz et al., 2017 ▸; Olmos et al., 2018 ▸). The observation of intermediate-state structures, and the maximization of the potential time resolution in both photoactivation and mix-and-inject techniques, relies on an accurately gauged start time of the reaction inside the crystals. In photoactivation experiments this requires a sufficient penetration of optical laser light into the crystal to ensure that a reaction is simultaneously triggered in a significant fraction of the molecules. In mix-and-inject experiments, the diffusion time of the substrate into the crystal may limit the ability to discriminate diffusion and kinetics, including substrate binding. To overcome this limitation, micrometre or submicrometre crystal sizes are required that ensure that the substrate diffuses rapidly into the crystals and the reaction is triggered swiftly and much faster than the lifetime of the reaction intermediates of interest (Schmidt, 2013 ▸).
The reaction of the cephalosporin antibiotic ceftriaxone [CEF; Fig. 1 ▸(b)] with BlaC is an excellent candidate for exploration with MISC. Previously, this reaction was investigated for Δt m of longer than 30 ms (Kupitz et al., 2017 ▸; Olmos et al., 2018 ▸). At 30 ms, however, the CEF binding sites in BlaC were essentially fully occupied (Olmos et al., 2018 ▸), a state also reached on similar timescales for other proteins and enzymes (Stagno et al., 2017 ▸; Mehrabi, Schulz, Agthe et al., 2019 ▸; Ishigami et al., 2019 ▸). The substrate-binding phase and the formation of the enzyme–substrate complex, however, remain elusive. Here, we aim to characterize the early phase of substrate binding with single-millisecond time delays by using the megahertz X-ray pulse-repetition rate of the European XFEL (EuXFEL; Decking et al., 2020 ▸).
In addition, we aim to investigate the reaction of BlaC with an inhibitor, sulbactam [SUB; Fig. 1 ▸(c)], on a millisecond timescale. The biochemistry of SUB and its application in combination with β-lactam antibiotics have been described in detail elsewhere (Totir et al., 2007 ▸). SUB binds to the active site of BlaC and reacts with the catalytically active serine of β-lactamases to form a covalently bound species. Most abundant is the so-called trans-enamine (trans-EN) species [Fig. 1 ▸(d)] that inhibits β-lactamases and helps to eliminate β-lactamase-induced antibiotic resistance. Static structures of trans-ENs with β-lactamases, including BlaC, have recently been characterized (Cheng et al., 2020 ▸; Tassoni et al., 2019 ▸), but structures of the early species that form during SUB binding remain elusive.
2. Methods
2.1. BlaC crystals
Platelet-shaped crystals of BlaC with approximate dimensions of 10 × 10 × 2 µm (Appendix A ) were produced by a stirring method on site in the XBI facility of the EuXFEL (Han et al., 2021 ▸) using ammonium phosphate (AP) as described by Olmos et al. (2018 ▸). The crystals belonged to space group P21 (Table 1 ▸), with four BlaC subunits in the asymmetric unit [Fig. 1 ▸(a)] (Olmos et al., 2018 ▸). Only two subunits bind CEF in their catalytic cleft, as demonstrated previously (Olmos et al., 2018 ▸). The concentration of BlaC subunits in the crystals is 15.5 mM, so that the concentration of active subunits is 7.8 mM. When this concentration is matched by substrate, the substrate concentration is called ‘stoichiometric’ in the following description.
Table 1. Data-collection statistics [30 ms data from Olmos et al. (2018 ▸)].
Water (reference) | 5 ms CEF | 10 ms CEF | 50 ms CEF | 66 ms SUB | 30 ms CEF (LCLS) | |
---|---|---|---|---|---|---|
Temperature (K) | 293 | 293 | 293 | 293 | 293 | 293 |
Space group | P21 | P21 | P21 | P21 | P21 | P21 |
EuXFEL train pulse rate (kHz) | 564 | 564 | 564 | 564 | 564 | 564 |
a, b, c (Å) | 80.9, 99.5, 112.6 | 80.6, 98.7, 113.1 | 80.6, 98.5, 113.5 | 80.4, 98.2, 115.2 | 81.0, 99.5, 112.6 | 78.7, 96.8, 112.6 |
α, β, γ (°) | 90, 108.4, 90 | 90, 108.6, 90 | 90, 108.8, 90 | 90, 110.0, 90 | 90, 108.4, 90 | 90, 109.7, 90 |
Resolution (Å) | 2.8 | 2.4 | 2.6 | 2.6 | 2.7 | 2.7 |
Hits | 51980 | 110698 | 85775 | 85914 | 35886 | 35065 |
Indexed patterns | 31812 | 105495 | 52323 | 36256 | 25013 | 24397 |
Hit/indexing rate (%) | 2.98/61.2 | 0.65/95.3 | 1.33/61.0 | 2.26/42.2 | 0.78/69.7 | 3.87/69.5 |
Observed reflections | 31572191 | 114717921 | 49576617 | 38055135 | 21034155 | 14588166 |
Unique reflections | 41870 | 65232 | 51595 | 50760 | 45344 | 40340 |
Multiplicity | 754 (236) | 1758 (1246) | 966.3 (580.4) | 749.7 (449.4) | 463.8 (307.4) | 526 (142) |
Completeness (%) | 100 (100) | 100 (100) | 100 (100) | 100 (100) | 100 (100) | 100 (100) |
R split (%) | 20.6 (988) | 15.6 (303.7) | 17.8 (334) | 20.9 (198.1) | 21.4 (459.2) | 14.2 (121.1) |
CC1/2 (%) | 96.5 (22.9) | 99.2 (26.9) | 99.6 (58.4) | 99.5 (58.4) | 96.9 (20.5) | 98.6 (34.5) |
2.2. Data collection at the EuXFEL
The platelets were mixed with ceftriaxone [CEF; Fig. 1 ▸(b); molecular mass 554.6 g mol−1; 200 mM in 0.8 M AP] or sulbactam (SUB) inhibitor [Fig. 1 ▸(c), molecular mass 223.2 g mol−1, 100 mM in 0.8 M AP] using optimized mixing injectors (Calvey et al., 2019 ▸) which were adapted to operate at the SPB/SFX instrument (Mancuso, 2019 ▸) of the EuXFEL. Flow rates and mixer geometries are shown in Table 2 ▸. The mixture was intercepted after a delay Δt m by X-ray pulses from the EuXFEL. The EuXFEL delivers X-ray pulses in pulse trains that repeat ten times per second (Fig. 2 ▸). Each train contained 202 X-ray pulses with approximately 40 fs full-width at half-maximum (FWHM) pulse duration and about 1.5 mJ pulse energy. The pulse-repetition rate within a pulse train was 564 kHz, a reduction from the possible 4.5 MHz to avoid pristine, upstream jet volumes being affected by previous X-ray pulses (Yefanov et al., 2019 ▸; Pandey et al., 2020 ▸; Grünbein et al., 2021 ▸). Given a flow rate of about 80 µl min−1 (Table 2 ▸) and an assumed jet diameter of 8 µm, the jet advances 26.5 m in a second. With a 564 kHz pulse rate the jet is intercepted every 47 µm, which is much larger than the gap (∼20 µm; Wiedorn, Oberthür et al., 2018 ▸) in the jet produced by the intense X-ray pulse. The X-ray beam size at the jet position was ∼3 µm. The design of the mixers allowed us to recapture the record (Mehrabi, Schulz, Agthe et al., 2019 ▸) for the shortest MISC time point, while maintaining the high jet speed necessary for the 564 kHz measurements (Wiedorn, Oberthür et al., 2018 ▸). Reference data were obtained by mixing with water.
Table 2. Parameters for the mix-and-inject experiments.
Water | SUB | CEF | CEF | CEF | |
---|---|---|---|---|---|
Δt m (ms) | (10) | 66 | 5 | 10 | 50 |
Ligand concentration (mM) | — | 100 | 200 | 200 | 200 |
Ligand buffer | — | 0.8 M AP pH 4.6 | 0.8 M AP pH 4.6 | 0.8 M AP pH 4.6 | 0.8 M AP pH 4.6 |
Ligand flow (µl min−1) | 74.5 | 54.5 | 76.7 | 74.5 | 71.8 |
Crystal flow (µl min−1) | 5.5 | 11.6 | 3.3 | 5.5 | 8.2 |
Mixing injector capillary internal diameter (µm) | 50 | 75 | 50 | 50 | 75 |
Constriction length (mm) | 17.8 | 36.1 | 9.3 | 17.8 | 36.1 |
Timing uncertainty (ms) | — | 9.3 | 1.8 | 3.0 | 10.4 |
Experimental time to collect the data set (min) | 50 | 56 | 138 | 250 | 32 |
Diffraction patterns (DPs) were collected using the Adaptive Gain Integrating Pixel Detector (AGIPD; Allahgholi et al., 2019 ▸) operating at a 565 kHz frame rate. The experiment was monitored using OnDA (Mariani et al., 2016 ▸), which is designed to estimate hit rates and spatial resolution in real time. DPs with Bragg reflections were selected by Cheetah (Barty et al., 2014 ▸) and indexed, integrated, scaled and merged by CrystFEL (White et al., 2016 ▸) in a manner consistent with previous work (Pandey et al., 2020 ▸). In brief, diffraction images with Bragg reflections were found by Cheetah (peakfinder8, minSNR=8, minADC=200, minPix=1, minPeaks=25) using the calibration process described by Wiedorn, Awel et al. (2018 ▸). Careful masking of shadowed and unreliable regions of the detector was performed on a run-by-run basis (Appendix B ). Independent masks were used for peak finding to avoid false hits, for example due to ice formation. Indexing was performed with CrystFEL (version 0.9.0) using the indexing package XGANDALF (Gevorkov et al., 2019 ▸) with the following parameters: peaks=peakfinder8, Min-SNR=5, Min-pixel-count=1, Threshold=400. The detector geometry was refined using geoptimiser (Yefanov et al., 2015 ▸). Merging and scaling of the Bragg peak intensities were performed using the partialator program from CrystFEL. To avoid the integration of noise for weakly scattering patterns, reflections were included up to 1.0 nm−1 above a conservative resolution estimate for each crystal (--push-res=1.0). Hit rates and indexing rates were stable in the order of 1.0% and 70%, respectively, irrespective of the pulse index in the train (Appendix A ). The lower hit rate is a consequence of diluting the crystalline slurry with the ligand/substrate. It has been shown that the X-ray pulse position in the train has no effect on the structure (Yefanov et al., 2019 ▸). Structure-factor amplitudes were generated from the measured intensities using programs from the CCP4 software suite (Winn et al., 2011 ▸). Data-collection statistics are shown in Table 1 ▸.
As a control, and to investigate the result of the complete reaction of BlaC with SUB in the platelet crystal form, macroscopic crystals were grown in sitting drops (10 µl BlaC at 45 mg ml−1 mixed in a 1:1 ratio with 2.1 M AP pH 4.1). Crystals grew within three days. The crystals were soaked for 3 h in a cryobuffer consisting of 2 M AP, 20% glycerol and 100 mM SUB. The crystals were cooled in liquid nitrogen. Data were collected on beamline ID-19 of the Structural Biology Center, Advanced Photon Source, Argonne National Laboratory. Data were processed to 2.7 Å using HKL-3000 (Minor et al., 2006 ▸). Details will be presented elsewhere.
2.3. Difference-map calculation and structure determination
The structures of BlaC and the BlaC–CEF complexes were determined as described previously (Kupitz et al., 2017 ▸; Olmos et al., 2018 ▸). Since the unit-cell constants change substantially after mixing (Table 1 ▸), isomorphous difference maps cannot be calculated and OMIT difference maps (DEDomit) were used. An initial BlaC model, PDB (Berman et al., 2002 ▸) entry 6b5x (Olmos et al., 2018 ▸), was refined against the structure-factor amplitudes |F o(t)|CEF collected at a particular Δt m. The content of the active sites (water and phosphate) was removed during the refinement. From the refined model amplitudes, |F c| were determined. From the amplitudes (and the phases obtained from the refined model), weighted m|F o(t)|CEF − D|F c| OMIT maps (DEDomit) were calculated. Polder difference maps (Liebschner et al., 2017 ▸; DEDPolder) were calculated to display weak difference electron-density features. The CEF was modeled in the polder maps. To refine the structure and to determine the fractional concentration of both Pi and CEF, grouped occupancy refinement was performed using Phenix (Liebschner et al., 2019 ▸). CEF was flagged together with Pi as a pair of molecules occupying the same space. The positions and B factors of all atoms as well as the occupancies of Pi and CEF were refined simultaneously. As a check, the sum of the occupancies of the flagged molecules should not deviate too much from unity.
Initial structures of the BlaC–SUB complexes were determined by inspecting both isomorphous and OMIT difference maps. The OMIT map was calculated in a similar way as described above except that amplitudes |F o(t)|SUB were used. A weighted DEDiso map was calculated from difference amplitudes w[|F o(t)|SUB − |F o|WAT], where the reference amplitudes |F o|WAT were obtained by mixing with water. The weighting factor was calculated as described previously for photoactive yellow protein (Ren et al., 2001 ▸; Pandey et al., 2020 ▸) and for the needle crystal form of BlaC (Olmos et al., 2018 ▸). The trans-EN and SUB molecules were inserted into the OMIT map. The positions and orientations were cross-examined to agree with the DEDiso map. The complexes were refined using REFMAC (Murshudov et al., 2011 ▸) against the |F o(t)|SUB amplitudes. The refinement statistics for the BlaC–CEF and BlaC–SUB complexes are shown in Table 3 ▸.
Table 3. Refinement statistics.
Water | 5 ms CEF | 10 ms CEF | 50 ms CEF | 66 ms SUB | 30 ms CEF (Olmos et al., 2018 ▸, revisited) | |
---|---|---|---|---|---|---|
Refinement program | Phenix | Phenix | Phenix | Phenix | REFMAC | Phenix |
Resolution | 2.8 | 2.4 | 2.6 | 2.6 | 2.7 | 2.75 |
Reflections used | 36804 | 52163 | 43274 | 45264 | 36434 | 40951 |
R cryst/R free | 0.21/0.27 | 0.24/0.25 | 0.22/0.26 | 0.22/0.27 | 0.21/0.29 | 0.22/0.26 |
Occupancy (CEF/phosphate) (%) | — | B, 46/60; D, 43/53 | B, 61/35; D, 64/38 | B, 84/11; D, 79/27 | 100, not refined | B, 76/20; D, 74/21 |
〈B〉CEF (B/D) (Å2) | — | 51/48 | 55/58 | 53/50 | — | 70/67 |
R.m.s.d., bond lengths (Å2) | 0.009 | 0.003 | 0.003 | 0.003 | 0.007 | 0.003 |
R.m.s.d., bond angles (°) | 1.09 | 1.07 | 1.03 | 1.34 | 1.67 | 1.10 |
H2O | 129 | 246 | 251 | 247 | 201 | 146 |
2.4. Binding kinetics of CEF
Refined occupancies are fitted by functions that account for saturation of CEF and decline of Pi,
and
respectively. and are the occupancy of CEF after a long time (at saturation) and the initial occupancy of Pi, respectively. The constant t 1/2 is either the time taken to reach half saturation of CEF or denotes the time when Pi has declined to half its initial concentration. The initial occupancy of Pi was set as 1.0, but the final occupancy of CEF was not constrained to 1.0 to account for a more realistic scenario.
2.5. The diffusion coefficient of CEF in the BlaC platelets
The occupancy of CEF bound noncovalently to the active center of BlaC was calculated with typical sized 10 × 10 × 2 µm (platelet-like) crystals (Appendix A ) by varying the diffusion coefficient D for the CEF in crystals until agreement with the experiment was achieved. The crystal was divided into 20 voxels along each direction and 20 time intervals were used. For each time interval, the concentration of the CEF substrate (C CEF) in each of the 8000 voxels in the crystal was determined using the known solution to Fick’s second law for a rectangular volume, represented by the first 20 modes (Schmidt, 2013 ▸, 2020 ▸; Carslaw & Jaeger, 1959 ▸),
where l, m, n are integer numbers that define the modes. x, y and z are coordinates within the crystal that extend from −a to +a, −b to +b and −c to c, where a, b, c are the half edge lengths of the platelet-shaped BlaC crystals. D is the diffusion coefficient, t is the time after mixing and C 0,CEF is the outside CEF concentration, which was set to 150 mM. This analytical approach to diffusion is strictly speaking only valid in the absence of substrate binding. However, here the substrate concentration (∼150 mM) is much higher than the concentration of the subunits that bind the CEF (7.8 mM). The concentration of substrate in the crystals increases rapidly to values much higher than the stoichiometric concentration. At saturation, the ES concentration is only 5.2% of that of the substrate. In addition, the speed (rate) of substrate binding is low until sufficient substrate is present. Accordingly, substrate binding is a small perturbation of the free CEF concentration on all but the very shortest timescales.
On the timescales employed here, the formation of later intermediates and the catalytic turnover of BlaC with CEF do not play a role (Boyd & Lunn, 1979 ▸; Hugonnet & Blanchard, 2007 ▸; Tremblay et al., 2010 ▸; Olmos et al., 2018 ▸). Both processes unfold over much longer timescales (Fig. 3 ▸) than the time delays examined here.
CEF binding to the active sites of BlaC is dependent on the free BlaC concentration in the crystal and the rate coefficients that describe the binding kinetics (Fig. 3 ▸). Here, the rate coefficient k on of 3.2 M −1 s−1 as estimated by Olmos and coworkers was used. The k off rate coefficient (dashed arrow in Fig. 3 ▸) was assumed to be negligible relative to the on-rate coefficient. There is only one free parameter, the diffusion coefficient D, which can be inferred by matching calculated occupancies to the refined occupancies observed at Δt m. (3) provides substrate (CEF) concentrations in each individual voxel (at each position in the crystal) at any particular time t. CEF binding to BlaC was calculated for each voxel by numerically integrating the rate equation with time intervals dt,
In (4), d[ES] is the change in concentration of the BlaC–CEF complex ([ES]) given the free enzyme ([E]) and free CEF ([C CEF]) concentrations at time t i and the k on rate. The free-enzyme concentration [E] decreases and that of the BlaC–CEF complex increases with each time step. (4) is repeated by increasing t i by dt until t i is larger than a given delay time, for example 10 ms. The substrate [C CEF] is provided everywhere by diffusion (3) and its concentration is also dependent on t i . The goal was to reproduce the approximate 50% BlaC–CEF occupancy in the B and D subunits (occobs) which was observed in the experiment at around 5 ms. The calculated BlaC–CEF occupancy (occcalc) is the average of the calculated occupancies found in all voxels of the crystal. Occcalc can then be compared with occobs and adjusted by varying the diffusion coefficient of CEF.
3. Results and discussion
3.1. Formation of the enzyme–substrate complex
The EuXFEL 564 kHz pulse structure was used to measure the binding of the large CEF substrate to BlaC at a Δt m of 5, 10 and 50 ms. The Δt m of 5 ms is about an order of magnitude faster than the earliest (30 ms) time point collected previously (Olmos et al., 2018 ▸). The ∼2 µm thin, platelet-shaped BlaC microcrystals allow fast diffusion times across the thin dimension. Furthermore, diffusion is facilitated by large channels in the crystals (Olmos et al., 2018 ▸). Therefore, these crystals are ideally suited for mix-and-inject investigations on fast timescales.
As observed in the previous studies at longer Δt m, CEF only binds to BlaC subunits B and D. In Figs. 4 ▸(b)–4 ▸(d) polder difference electron-density maps (Liebschner et al., 2017 ▸; DEDPolder) are shown in the active site of subunit B. On early timescales (5 and 10 ms after mixing) we simultaneously observe electron densities for CEF and the close-by phosphate (Pi) molecule. Since CEF and Pi occupy the same space, their presence is mutually exclusive and the electron density reflects an average over sites occupied by Pi and others occupied by CEF. Pi is also found near the CEF binding site in the unliganded (unmixed) form [Fig. 4 ▸(a)]. At Δt m = 5 ms, the Pi and CEF occupancies are both approximately 50%. The available catalytic sites in subunits B and D are equally occupied either by a CEF or by a Pi. At Δt m = 50 ms, the Pi density vanishes. Nevertheless, the Pi occupancy refines to 19% and that of CEF to 82% (Table 3 ▸). Here, an electron-rich compound (Pi) is refined in conjunction with CEF, occupying equivalent spaces in different unit cells. This may result in an overestimate of the occupancy of Pi. As there is no indication of phosphate-shaped electron density at 50 ms [Fig. 4 ▸(d)], we consider this to be the error margin of our occupancy refinement.
In agreement with previous work (Olmos et al., 2018 ▸), an additional CEF molecule is identified close to each active site that weakly interacts (stacks) with the CEF already bound there (Fig. 5 ▸). The stacking sites seem to be only transiently visited by CEF molecules until the active sites are fully occupied. The unit-cell parameter changes roughly follow CEF binding and Pi release [Fig. 6 ▸(a), inset; Table 1 ▸]. When sulbactam, which is about 2.5 times smaller, binds the Pi is not replaced and the unit-cell parameters do not change (see below and Table 1 ▸). We postulate that the displacement of the strongly negatively charged Pi, as well as the occupancy of the stacking site, may contribute to the unit-cell changes observed when CEF is mixed in. The needle crystal form described earlier (Olmos et al., 2018 ▸) does not show unit-cell changes. There, neither the Pi nor the stacking site is present. In our BlaC platelets the CEF occupancy can be very heterogenous, in particular at 5 ms, which should result in different unit-cell parameters near the surface and in the center, respectively. However, the Bragg reflections are not split, which is in accordance with observations by others (Ramakrishnan et al., 2021 ▸; Stagno et al., 2017 ▸; Kupitz et al., 2014 ▸). This may be a consequence of the fully coherent illumination of the entire microcrystal volume by the XFEL radiation or may be due to the plasticity of microcrystals that even supports phase transitions and space-group changes (Ramakrishnan et al., 2021 ▸).
As more CEF binds, Ser70 moves towards the Pi position (by about 1 Å) and the Pi is replaced at the same time (Table 4 ▸ c). Other amino acids such as Asn172 and Asp241 move closer to the CEF. We can now develop a mini-movie for the formation of an enzyme–substrate (ES) complex (Supplementary Movie S1). This movie visualizes how CEF interacts with BlaC. The initial binding phase is complete when the CEF occupancy approaches saturation. Since the aminothiazole ring and, in particular, the dioxotriazine ring of CEF stick out from the center [the β-lactam ring fused to the six-membered thiazine ring; Fig. 1 ▸(b)], they are more disordered and their electron densities are weaker. However, clear density features guide a structural refinement that shows that CEF binds through a succession of conformations which may be associated with distinct BlaC intermediates. The separation of these intermediates from the X-ray data is difficult since we have not collected a sufficiently large number of time delays to apply meaningful deconvolution algorithms (Schmidt et al., 2003 ▸; Kostov & Moffat, 2011 ▸). The high X-ray pulse-repetition rate of the EuXFEL may make this possible since it allows the fast collection of data sets at tightly spaced delays. Given the resolution of our X-ray data (Table 1 ▸), it is challenging to make a distinction between ligand binding being supported by conformational disorder (Tzeng & Kalodimos, 2012 ▸) or by adaptation of the structure to a changing energy landscape, which would resemble an ‘induced fit’ (Changeux & Edelstein, 2011 ▸). Both scenarios (Vogt & Di Cera, 2012 ▸) would most likely result in the same (or a very similar) crystallographic signal. We hypothesize that both mechanisms are involved to some degree, which might be unraveled by single-particle experiments, as recently demonstrated for an unrelated biological system (Dashti et al., 2020 ▸). However, the structures of BlaC as well as of CEF change [Table 4 ▸(c), Supplementary Movie S1], which might be interpreted as the signature of an induced fit after the initial binding event.
Table 4. Important distances in the active centers of BlaC.
Subunit A | Subunit C | |
---|---|---|
Ser70 OG to Pi O | 3.2 (h) | 2.6 (h) |
Ser70 OG to 0RN OAF | 3.1 (h) | 3.2 (h) |
Gln112 OE1 to 0RN OX | Gln from B, 2.8 (h) | Gln from D, 3.3 (w) |
Asn172 ND2 to 0RN OAF | 3.2 (h) | 3.1 (h) |
Glu168 O2 to 0RN OAF | 3.0 (h) | 2.8 (h) |
Arg173 NH1 to 0RN O | 2.5 (s) | 3.9 (w) |
Thr239 O to 0RN OAO | 3.9 (w) | 2.9 (h) |
Subunit B | Subunit D | |
---|---|---|
Lys73 NZ to TSS O13 | 2.8 (h) | 3.0 (h) |
Gln109 OE1 to TSS O12 | Gln from A, 2.7 (h) | Gln from C, 2.9 (h) |
Thr239 O to TSS 08 | 2.9 (h) | 2.9 (h) |
Asp241 OD2 to TSS O11 | 6.4 | 4.1 |
Subunit B | Subunit D | |||||||
---|---|---|---|---|---|---|---|---|
0 ms | 5 ms | 10 ms | 50 ms | 0 ms | 5 ms | 10 ms | 50 ms | |
Ser70 OG to H2O | 3.1 (h) | 2.8 (h) | 3.3 (w) | 2.8 (h) | 3.5 (w) | 2.4† (s) | 3.1 (h) | 3.2 (h) |
Ser70 OG to Pi O4 | 3.6 (w) | 3.5 (w) | 3.4 (w) | 2.6 (s) | 2.7 (h) | 3.7 (w) | 3.9 (w) | 2.7 (h) |
Ser70 OG to CEF O | na‡ | 3.1 (h) | 2.9 (h) | 2.9 (h) | na | 2.9 (h) | 3.0 (h) | 2.8 (h) |
Ser128 OG to CEF OAD | na | 2.4 (s) | 2.4 (s) | 2.5 (s) | na | 2.3 (s) | 2.4 (s) | 2.6 (h) |
Asn172 ND2 to CEF OAR | na | 2.7 (h) | 3.1 (h) | 3.2 (h) | na | 2.8 (h) | 3.0 (h) | 3.1 (h) |
Thr237 OG1 to CEF OA1 | na | 2.7 (h) | 3.1 (h) | 3.0 (h) | na | 2.7 (h) | 2.6 (h) | 3.1 (h) |
Thr239 OG2 to CEF OA1 | na | 3.3 (w) | 3.0 (h) | 3.0 (h) | na | 3.4 (w) | 3.4 (w) | 3.1 (h) |
Asp241 OD1 to CEF NAC | na | 4.7 | 4.3 | 3.2 (h) | na | 4.4 | 4.2 | 3.6 (w) |
Weak OMIT difference electron density.
Not applicable.
Formation of the ES complex is most important since it triggers the enzymatic cycle. Hence, it determines the time resolution of the MISC method. The ES complex consists of CEF noncovalently bound in the active site of BlaC (Fig. 4 ▸). CEF is delivered by diffusion into the crystals. The crystals must be small enough to enable short enough diffusion times so that the binding kinetics can be observed. However, MISC does not measure the free substrate concentration in the crystals, and therefore diffusion is rather observed indirectly through the increase in the occupancies of well ordered substrate molecules in the active centers of BlaC. When the diffusion times are very short, occupancies may accumulate on a timescale longer than the diffusion time, as they are governed by the binding kinetics. The formation of the ES complex, and therefore the time resolution of the MISC method, is therefore not only dependent on the ligand concentration delivered by diffusion but also on the magnitude of the rate coefficients that characterize the kinetic mechanism.
3.2. Inhibitor binding
The structure of the BlaC–SUB complex was probed at Δt m = 66 ms. Strong positive DEDiso shows SUB binding to all four subunits of BlaC, which is in stark contrast to CEF, which only binds to subunits B and D. The absence of negative DEDiso at the Pi position [Figs. 7 ▸(a) and 7 ▸(b)] shows that the Pi does not move and stays in the active site. At the time delay of 66 ms sulbactam binding to BlaC is heterogeneous. In subunits B and D the DEDiso is elongated and stretches outwards from Ser70 [Fig. 7 ▸(b)]. In subunits A and C the DEDiso is pillow-like and is more distant from Ser70 [Fig. 7 ▸(a)]. The elongated DEDiso in subunits B and D [Fig. 7 ▸(b)] can be explained by a covalently bound trans-EN as a result of the reaction of the sulbactam with the catalytic Ser70. The diffusion time is fast enough that 66 ms after mixing all B and D subunits contain trans-EN, the position of which is stabilized by a network of BlaC residues [Fig. 7 ▸ and Table 4 ▸(b)]. This is quite unexpected, as it was suggested that it would take minutes for the enamine to form after binding of SUB to BlaC (Totir et al., 2007 ▸; Cheng et al., 2020 ▸; Tassoni et al., 2019 ▸). In subunits B and D Arg173 displays a stretched, open conformation, allowing the SUB to orient correctly towards Ser70 and to react swiftly to the trans-EN, which then irreversibly inhibits BlaC (Tassoni et al., 2019 ▸). The nearby Pi, which is displaced when the much larger ligand CEF is present, stays in place in all subunits and is likely to add to the stability of both complexes.
The pillow-like DEDiso in a region more distant from Ser70 in subunits A and C [Fig. 7 ▸(a)] can be explained by an intact sulbactam molecule that is noncovalently bound to the active site. The SUB is oriented so that the ring sulfur dioxide points towards Ser70, with the β-lactam ring pointing away from Ser70. We hypothesize that this ‘upside-down’ orientation is enforced by Arg173 and Gln112 [Fig. 7 ▸(a) and Table 4 ▸(a)], where Gln112 protrudes deep into the active sites from the adjacent, noncrystallographically related subunits [Fig. 7 ▸(a)]. As the noncovalently bound SUB is oriented incorrectly, Ser70 cannot attack and open the β-lactam ring within the Δt m of 66 ms. However, the static (cryo) X-ray structure of this complex [Fig. 5 ▸(c)] shows that SUB indeed also reacts to the trans-EN in subunits A and C. Accordingly, the BlaC–SUB structure is an interesting intermediate on the catalytic pathway from SUB to trans-EN. The detection of this intermediate would be difficult if not impossible without the MISC experiment.
3.3. Diffusion of substrate in BlaC microcrystals
With D = 2.3 × 10−6 cm2 s−1 for CEF in water [Table 5 ▸(b)], the diffusion time into the center of a 10 × 10 × 2 µm crystal volume consisting of water is 1.6 ms. This means that at 5 ms the concentration of CEF molecules would be 96% of the outside concentration (about 144 mM), which is about 20 times higher than the stoichiometric concentration [Table 5 ▸(a)]. After integration of the rate equation, the average occupancy would be 99%, which is essentially saturation. This result does not reflect the crystallographically observed occupancy at 5 ms. When decreasing the diffusion coefficient to 2.0 × 10−7 cm2 s−1, the diffusion time into the crystal center increases to 19 ms [see Fig. 6 ▸(b) and Table 5 ▸(b)]. From this, the decrease of the free BlaC enzyme concentration, the increase of the free CEF concentration and the increase of the BlaC–CEF complex concentration were calculated as explained in Section 2.5. The results are shown in Fig. 6 ▸(b). The BlaC–CEF concentration in the center of the crystal lags behind [blue diamonds in Fig. 6 ▸(b)] since CEF requires additional time to reach the center and to bind to BlaC. The resulting sigmoidal-shaped response was fitted by a logistic function,
where t 0 = 13.1 ms denotes the characteristic time when the binding reaction accelerates in the crystal center. With k = 0.3 ms−1 a reasonable steepness of (5) was achieved [Fig. 6 ▸(b), blue dashed line]. The t 0 roughly coincides with the diffusion time. Averaged over the entire crystal volume, ∼50% BlaC–CEF occupancy is reached at 5 ms, which is equal to the occupancy determined experimentally at Δt m = 5 ms [compare the green dashed line in Fig. 6 ▸(b) with Fig. 6 ▸(a)]. Fig. 8 ▸ shows a heatmap that plots BlaC–CEF occupancies through the center of half a BlaC crystal (see also Fig. 9 ▸ for a 3D representation). The concentrations of the BlaC–CEF complex are depicted with various colors (see the scale bar on the right). At the edge of the crystal, almost all active BlaC subunits (B and D) are already bound to CEF at 5 ms. In the center the BlaC–CEF complex concentration is 0.21 mM (2.7% of the total concentration of B and D subunits in the crystal), although the CEF concentration delivered by diffusion is already 35 mM (which is the mentioned 23% of the outside CEF concentration but is 5.5 times the stoichiometric concentration). The situation changes completely at 30 ms, where almost 100% occupancy is reached everywhere in the crystal, which is in accordance with earlier results (Olmos et al., 2018 ▸) and with the occupancy at Δt m = 50 ms reported here (see also Supplementary Movie S2). As also discussed earlier, the variation of occupancy across microcrystals at faster mix-and-inject delays does not affect the enzyme kinetics, as the nucleophilic attack of Ser70 of BlaC on the β-lactam ring happens long after the crystals establish full CEF occupancy. It needs to be pointed out here that the simple model of CEF diffusion into BlaC microcrystals and the binding of CEF to BlaC molecules can be augmented by taking into account, for example, the exclusion volume occupied by reacting and nonreacting BlaC subunits (Geremia et al., 2006 ▸), by the mentioned pointwise depletion of the free CEF concentration in each voxel by binding to BlaC active centers, or the diffusion of substrate directly through protein molecules facilitated by protein dynamics. Since the exact mechanism of diffusion through protein crystals (Geremia et al., 2006 ▸) is difficult to determine, the unknown parameters are tied up in the effective diffusion coefficient (D eff) determined here.
Table 5. Characterization of BlaC–CEF complex formation in crystals.
E 0 (mM) | C 0,CEF (mM) | k on (M −1 s−1) |
---|---|---|
7.8 | 150 | 3.2 |
Δt m (ms) | 〈[CEF]〉 (mM) | 〈[Efree]〉 (mM) | 〈[ES]〉 (mM) | [EScenter] (mM) |
---|---|---|---|---|
5 | 79.4 (53%) | 3.9 (50%) | 3.9 (50%) | 0.2 (2.7%) |
10 | 98.4 (66%) | 1.7 (21%) | 6.1 (79%) | 2.4 (30%) |
30 | 133.3 (89%) | 0.0 (0.1%) | 7.8 (99.9%) | 7.7 (99%) |
50 | 144.4 (96%) | 0.0 (0%) | 7.8 (100%) | 7.8 (100%) |
From fitting saturation curves to refined occupancy values. C S,CEF is the saturation concentration of CEF; τ1/2 are characteristic times where 50% of the final concentrations of CEF and phosphate are reached, respectively.
Parameters of the logistics function (5) fitted to occupancies determined in the centers of the BlaC platelets.
D eff was obtained by matching the calculated and observed CEF binding kinetics.
3.4. Reaction initiation by diffusion
CEF diffusion is about a factor of 12 slower in the BlaC crystals than in water, with a D eff of about ∼2 × 10−7 cm2 s−1 [Table 5 ▸(b)]. This slowdown is in agreement with findings that were previously obtained from simulations on substrate diffusion in enzyme crystals (Geremia et al., 2006 ▸). Estimates of enzyme–ligand occupancies can now be directly deduced from time-resolved X-ray crystallography everywhere in a crystal after mixing. Not surprisingly, at 5 ms the occupancy is high (>90%) only near the crystal surface [Fig. 8 ▸(a)], where sufficient substrate is present to promote ES formation at a high rate. In the center of the crystals the ES complex concentration is initially small [Table 5 ▸(c), Figs. 8 ▸(a) and 9 ▸(a)]. The binding rate is not sufficiently high to generate significant occupancy. After Δt m = 10 ms the binding rate increases, until at 30 ms full occupancy of the BlaC–CEF complex is reached everywhere (Olmos et al., 2018 ▸) [Fig. 6 ▸(b), green dashed line, Table 5 ▸(c)]. With the rapid diffusion of CEF into small BlaC crystals, we are now able to quantify variations of substrate, enzyme and ES concentrations across the enzyme crystal volume at any time [Table 5 ▸(c), Figs. 8 ▸ and 9 ▸]. The remarkable speed of ES accumulation shows that the mix-and-inject technique can be used to characterize enzymes with turnover times much faster than that of BlaC. The direct observation of the important initial ligand- and substrate-binding phase in biomedically relevant enzymes is possible at the EuXFEL.
Since the ES complex (here the BlaC–CEF complex) triggers the enzymatic cycle, accurate kinetics can be extracted to the point where the time required to accumulate sufficient ES complex approaches the lifetime of the next intermediate in the catalytic cycle (Schmidt, 2013 ▸). This finding holds for any other technique (Šrajer & Schmidt, 2017 ▸) which aims to trigger enzymatic reactions, even in noncrystalline samples. Not only is it required to bring sufficient substrate into the vicinity of the enzyme, but the binding kinetics also need to be taken into account. With microcrystals below a certain crystal size, the binding of substrate, and not the diffusion of substrate into the crystal volume, may become rate-limiting. As a consequence, for BlaC crystals of a size of about 1 µm the speed of ES complex formation is not substantially different from that in solution. The D eff determined here suggests that accurate measurements of the substrate-binding kinetics would not be possible with significantly larger crystals. Enzymes with turnover times faster than that of BlaC will usually also display faster substrate-binding kinetics with larger k on rate coefficients. In such cases, the crystal sizes (and their size distributions) or perhaps the temperature must be adjusted appropriately to ensure that the diffusion times can catch up with the substrate-binding rates.
Diffusion is an effective way to initiate reactions. Given a sufficient substrate concentration, and appropriately small crystals, all of the crystal volume is already infused with a multiple of the stoichiometric substrate concentration after a few milliseconds [Table 5 ▸(c)]. This is very important for fast reaction initiation since the rate (speed) of enzyme–substrate complex formation, and therefore the time resolution of the method, depends decisively, and primarily, on the concentration of the substrate, and of course also on the free enzyme concentration and the kinetic rate coefficients. Others (Mehrabi, Schulz, Dsouza et al., 2019 ▸) have reported significant substrate occupancy in the active site only 30 ms after the activation of a caged substrate that is even located close by. This slow occupancy increase may be a result of (sub-)stoichiometric substrate concentrations in the unit cell, which strengthens our point of view. BlaC is not a fast enzyme. Apart from the possibility of investigating the initial substrate-binding phase(s) potentially on submillisecond timescales, the benefits of XFEL-based mix-and-inject approaches may come to light once faster enzymes with turnover times of <50 ms are investigated. These experiments require small crystals. Exploration of how to investigate these small crystals using either XFELs or synchrotrons, perhaps after upgrade to an advanced accelerator lattice (Eriksson, 2016 ▸; Wanzenberg et al., 2019 ▸), remains to be performed.
4. Outlook
In order to further investigate CEF and SUB binding and their reactions with Ser70, a time series should be collected that consists of data sets at multiple Δt m values that span from a few milliseconds to seconds. To achieve this, the EuXFEL pulse structure must be exploited most efficiently. Every X-ray pulse in all pulse trains provides observations of the same time delay, and our experiments took maximum advantage of the high pulse rate (Fig. 2 ▸, inset). This is in contrast to optical pump–X-ray probe experiments, which require appropriate waiting times between laser excitations to guarantee that the laser-excited volume exits the X-ray interaction region, so that multiple laser activations can be avoided (Pandey et al., 2020 ▸). We showed that diffraction data sufficient for good-quality structure determination can be collected in about half an hour, as demonstrated for the 50 ms CEF time point. This time can be reduced substantially by limiting the number of diffraction patterns per data set (around 25 000 is appropriate for this space group; Olmos et al., 2018 ▸) and by optimizing the crystal density that flows through the mixing device. High crystal density will lead to higher hit rates, but might also cause frequent interruptions caused by injector clogging. In our experiments, a fine balance between crystal size and crystal density was found so that the mix-and-inject experiments with CEF and SUB could be completed successfully with acceptable hit rates (Table 1 ▸) given the high X-ray pulse-repetition rate at the EuXFEL. Previous experiments have shown that the collection of sufficient patterns for structure determination should be possible in less than 20 min at the detector-limited repetition rate of the EuXFEL (Yefanov et al., 2019 ▸; Pandey et al., 2020 ▸). This provides the tantalizing possibility of directly characterizing kinetic processes in biomolecules from single-digit millisecond to longer timescales within relatively short experimental times. The kinetics can rapidly change when environmental conditions are varied. It may be possible, for example, to control the temperature in the mixing injector delay line to determine barriers of activation from the resulting X-ray data (Schmidt et al., 2013 ▸). The full analysis of such a multidimensional data set requires the development and deployment of user-friendly classification algorithms to separate mixtures into their pure components (Schmidt et al., 2003 ▸) and to derive kinetics and energetics (Schmidt et al., 2013 ▸) consistent with the electron-density maps and the structures of intermediate states along the reaction pathway.
5. Summary
Our experiments permitted a real-time view into the active sites of an enzyme during substrate binding. They facilitate more mix-and-inject experiments at the EuXFEL with unprecedented data-collection rates, allowing more structures to be determined per allocated experimental time. This capability will become an important tool for biomedically relevant research in years to come.
Supplementary Material
Acknowledgments
We are very grateful to those who supported this experiment by being present in person at the European XFEL during the onset of the COVID-19 pandemic in March 2020. We acknowledge the European XFEL in Schenefeld, Germany for the provision of X-ray free-electron laser beamtime on the SPB/SFX scientific instrument and would like to thank the staff for their assistance. We acknowledge the use of the XBI facility at the European XFEL. The SFX stream files were deposited in the CXIDB with code 170. Individual contributions were as follows. SP, TM, JM-G, JH-Y, FK, IP, MM, RJ, MS, WX and JO expressed, purified and crystallized the protein. RB, KD, HK, MK, JK, GM, TS and MV operated the SPB/SFX instrument. LP, AMK, GC and KAZ designed and provided injector nozzles. MV, FK and MK assembled and operated the nozzles. FK, JM-G, J-HY, LG and PS collected the data. SP, IP, OY, VM, PS, AT and AB processed the data. SP, IP, TM, GP and MS analyzed the data. IP, MF, AS, FK, PS and MS logged the experiment. RB, APM, MS and GP designed the experiment. SP, PF, APM, RB, GP and MS wrote the manuscript with input from all other authors.
Appendix A. Microcrystals and data collection
Fig. 10 ▸(a) shows a microscopic image of the BlaC platelets used for the experiments. They appear to be uniform in size and shape. In Fig. 10 ▸(b) the hit and indexing rates achieved with these crystals in our MISC experiments are displayed across all of the pulses in the pulse train of the EuXFEL. A decay in the hit rate following pulse 1 is not observed. This is an indication that the jet is fast enough that a fresh jet volume is intercepted by the following X-ray pulses (Wiedorn, Oberthür et al., 2018 ▸; Yefanov et al., 2019 ▸; Pandey et al., 2020 ▸).
Appendix B. Diffraction patterns and masks
The ability to mask out detector pixels and other parts of the diffraction pattern (Fig. 11 ▸) is important for the successful identification of DP-containing Bragg reflections (hits) from the stream of detector images (Wiedorn, Oberthür et al., 2018 ▸; Carrillo et al., 2021 ▸). Only peaks [blue squares in Figs. 11 ▸(a) and 11 ▸(b)] outside the mask are found. In the hit-finder Cheetah (Barty et al., 2014 ▸) a convenient masking tool is available that facilitates the exclusion of any part of the detector image. The central ‘hole’ and the gaps (except for the tile edges) do not need to be masked since the detector geometry is known.
Funding Statement
This work was funded by National Science Foundation, BioXFEL Science and Technology Center grant STC-1231306; U.S. Department of Energy, Office of Science grant DE-SC0002164 to Abbas Ourmazd; National Science Foundation grants 1551489, DBI-2029533, 1450681., and 1565180 to Abbas Ourmazd, Abbas Ourmazd, and Jose L. Olmos; National Institutes of Health grants R01 GM117342-0404, R01 GM095583, and T32-GM008267 to Kara A. Zielinski; Arizona State University, Biodesign Institute, Arizona State University; U.S. Department of Energy grant DE-AC52-07NA27344; Deutsche Forschungsgemeinschaft grant EXC 2056; H2020 Marie Skłodowska-Curie Actions grant 637295; European Research Council grants ERC-2013-SyG 609920 and FP/2007-2013 609920.; Human Frontier Science Program grant RGP0010 2017.
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