I24-Microfocus Macromolecular Crystallography
VMXi-Versatile Macromolecular Crystallography in situ
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Pierre
Aller
,
Juan
Sanchez-Weatherby
,
Abbey
Telfer
,
Robert
Bosman
,
Nicholas
Devenish
,
Philip
Hinchliffe
,
Sam
Horrell
,
Jophy
Ip
,
Richard
Littlewood
,
Andrew
Male
,
Eva
Gimenez-Navarro
,
Urszula
Neuman
,
Jos J. A. G.
Kamps
,
David
Omar
,
Laura
Parkinson
,
Muthraj
Pandi
,
Nico
Rubies
,
James
Sandy
,
Anastasya
Shilova
,
James
Spencer
,
Jonathan
Spiers
,
John P.
Sutter
,
Amy J.
Thompson
,
Catherine L.
Tooke
,
Ben
Williams
,
Tiankun
Zhou
,
Michael A.
Hough
,
Allen M.
Orville
Open Access
Abstract: Time-resolved X-ray crystallography is experiencing a resurgence, in part because of serial methods that readily allow scientists to create stop-motion movies of the macromolecular functions of photoactivation, enzyme-catalysed reactions and ligand-induced conformational changes triggering further downstream signalling events. While some reactions can be initiated with light, either naturally or using photocaged compounds, a more generally applicable approach is to mix microcrystals with reagents at varying time points prior to exposure to the X-ray beam. A powerful approach has been to combine droplet-on-demand `tape drive' sample delivery with X-ray emission spectroscopy (XES) that correlates atomic structure with the electronic states of metal ions within the sample. To the best of our knowledge, such a combined methodology has not been deployed previously on a synchrotron beamline but has been restricted to X-ray free-electron lasers. Here we describe two independent prototype experiments along the development pathway to a combined droplet-on-demand diffraction and XES system on the microfocus synchrotron beamline VMXi at Diamond Light Source. We demonstrate the collection of a high-quality serial diffraction data set from microcrystals within droplets having a volume of hundreds of picolitres deposited on a moving tape. In separate experiments on VMXi, we collected XES data from microcrystals of a copper enzyme delivered using a high-viscosity extruder. Together, these results demonstrate the feasibility of combined droplet-on-demand serial crystallography and XES experiments using a third-generation synchrotron beamline.
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Sep 2026
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I03-Macromolecular Crystallography
I04-1-Macromolecular Crystallography (fixed wavelength)
I04-Macromolecular Crystallography
I24-Microfocus Macromolecular Crystallography
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Diamond Proposal Number(s):
[21970]
Open Access
Abstract: Copper-containing nitrite reductases (CuNiRs) catalyse the reduction of nitrite to nitric oxide and are a key enzyme in the anaerobic ammonium oxidation and denitrification steps of the nitrogen cycle. The recent recognition of the widespread distribution of three-domain CuNiRs where cognate redox partners are fused to the core NiR enzyme offered the possibility of studying coordinated events (e.g. proton-coupled electron transfer) in a conformationally stable donor–acceptor complex. The C-terminal cytochrome c tethered domain of the CuNiR from Ralstonia pickettii (RpNiR) has been well studied. Reverse engineering of RpNiR undertaken to remove the cognate partner domain showed that the presence of the additional domain resulted in significant differences in the apparent Km for nitrite and the reduction potentials of the Cu centres when compared with the core enzyme. The oxidation state of the haem centre and the position of the tethering linker have also been shown to control access of substrate to the active site. A key feature of this control is a conserved tyrosine residue (Tyr323 in RpNiR) located in the tethering linker between the fused domain and the core enzyme. To gain insight into this control, we have undertaken targeted mutations of RpNiR to probe the so-called primary proton channel and perturb putative electron transfer routes from the haem to the `gatekeeper' Tyr323 and to the T1Cu centre. The resolution of our crystallographic data to better than 1.2 Å enabled us to apply unrestrained SHELXL refinement of the structures. Our data provide a significant advance in our understanding of catalysis and modulation of electron transfer in these tethered systems, with wider implications for these fundamental processes in other protein complexes.
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Jul 2026
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I03-Macromolecular Crystallography
Krios I-Titan Krios I at Diamond
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Diamond Proposal Number(s):
[19832]
Open Access
Abstract: We review the structural and functional characteristics of bacteriophages and bacteriocins (diffocins) that specifically target Clostridioides difficile, a significant healthcare concern due to its role in nosocomial infections. The advent of modern cryogenic electron microscopy (cryoEM) has revolutionized our understanding of these contractile injection systems, providing high-resolution insights into their mechanisms. We compare the structures of C. difficile phages and diffocins, highlighting their adaptations for penetrating the Gram-positive bacterial cell envelope – including the cell membrane, cell wall and proteinaceous surface layer. Diffocins, simpler in structure, utilize a combination of mechanical and enzymatic strategies, while some phages like ΦCD508 may rely on mechanical force alone. This review delves into the assembly and function of key components such as the contractile sheath, baseplate and receptor-binding proteins, offering a framework for engineering precision antimicrobials. We also present new experimental results, including refined cryoEM structures of the ΦCD508 pre- and post-contracted tail, a novel spontaneously contracted conformation and an X-ray crystal structure of a phage receptor-binding protein domain. This work underscores the potential of cryoEM in advancing our understanding of phage biology and its applications in developing targeted therapies against C. difficile.
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Jul 2026
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Krios I-Titan Krios I at Diamond
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Diamond Proposal Number(s):
[21005]
Open Access
Abstract: The dynamic nature of protein and macromolecular complexes means that the capture of multiple sequential states along a reaction pathway can provide much greater insight into function than that obtained from a single static structure. We present a set of modular, easy-to-implement tools and workflows for optical excitation, on-grid characterization and tightly coupled rapid vitrification, establishing a proof-of-principle framework for time-resolved cryoEM and cryo-electron tomography (cryoET). We apply this framework to E. coli chemotaxis, in which serine-sensitive chemoreceptors initiate signalling upon ligand binding and undergo critical conformational changes within the chemosensory arrays. Using DMNB-caged serine [O-(4,5-dimethoxy-2-nitrobenzyl)-L-serine] as a model trigger, we quantified its photophysical properties and uncaging efficiency using UV–Vis spectroscopy and two-dimensional gas chromatography mass spectrometry (GC×GC-MS). Coupling a femtosecond-pulsed laser to a Vitrobot enabled reproducible reaction-to-vitrification delays of ∼150 ms, yielding intact E. coli minicells with well-preserved chemotaxis arrays suitable for in situ structural analysis by cryoET. This integrated approach provides a robust and generalisable framework for millisecond time-resolved cryoET, laying the groundwork for capturing transient conformational states in their native cellular context.
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Jul 2026
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I15-Extreme Conditions
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Diamond Proposal Number(s):
[37838]
Open Access
Abstract: The structural behaviour of homoleptic xenon difluoride (XeF2) complexes [M(XeF2)6][SbF6]2 (M = Cu, Zn) under varying temperature and pressure has been investigated, aiming to resolve the disordered Jahn–Teller distortions in the copper complex (CuSb). At 200 K, both CuSb and its zinc analogue (ZnSb) crystallize in a layered CdCl2-type structure with the space group R3. Upon cooling below 170 (CuSb) and 160 K (ZnSb), both systems transition to isostructural phases in P1, with CuSb assuming an ordered Jahn–Teller distortion. The transformation is driven by the shortening and optimization of the Xe⋯F intermolecular contacts, forming stronger and more directional interactions, rather than by Jahn–Teller effects alone. This is supported by the observation of similar transitions in the Jahn–Teller-inactive Zn system. High-pressure experiments up to ∼2.8 GPa at room temperature show the structural stability of the high-symmetry phases, implicating kinetic barriers to further transformation. Additionally, the synthesis and structural characterization of a novel arsenic analogue, [Zn(XeF2)6][AsF6]2 (ZnAs), reveal similar layered motifs but distinct phase behaviour. Symmetry-mode analyses relate all observed phases through distortions of a common CdCl2 aristotype.
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Jul 2026
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I19-Small Molecule Single Crystal Diffraction
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Diamond Proposal Number(s):
[40212]
Open Access
Abstract: The `photometric selection' approach as a high throughput, sample tolerant, low cost and highly automatable method of carrying out serial crystallography is presented. Crystalline samples are loaded and distributed onto a simple transparent substrate and an in-line camera identifies crystals using image recognition algorithms from the computer vision project OpenCV. In contrast to established serial techniques, which generally require that crystal samples be refined with narrow size distributions and defined habits, the sample requirements when using photometric selection are shown to be minimal. We demonstrate how broadly effective photometric selection can be by collecting high-quality datasets from three exemplar systems: a small-molecule organometallic, a small-molecule organic and a metal–organic framework system. In contrast to previously established grid-scanning techniques, data collection using photometric selection can be up to six times faster.
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Jul 2026
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I24-Microfocus Macromolecular Crystallography
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Jos J. A. G.
Kamps
,
Philip
Hinchliffe
,
Johan
Glerup
,
Emily I.
Freeman
,
Pauline A.
Lang
,
Catherine
Tooke
,
Michael
Beer
,
Laura
Parkinson
,
Do-Heon
Gu
,
Sehan
Park
,
Nicholas
Devenish
,
Tiankun
Zhou
,
Anastasya
Shilova
,
Samanpreet
Kaur
,
Patrick
Rabe
,
Christopher J.
Schofield
,
James
Spencer
,
Jaehyun
Park
,
Robin L.
Owen
,
Allen M.
Orville
,
Pierre
Aller
Diamond Proposal Number(s):
[25260]
Open Access
Abstract: We describe the design and implementation of a drop-on-fixed-target method for time-resolved serial crystallography at both synchrotron and XFEL facilities. A piezoelectric droplet dispensing pipette is employed for addition of picolitre volume aqueous droplets (∼40–90 pl; ∼40–55 µm diameter sphere), containing (co-)substrate(s) or ligand(s), onto enzyme microcrystals previously loaded into the trapezoidal wells of an etched crystalline silicon fixed-target chip containing 25 600 wells in a high-density, square grid with 125 µm centre-to-centre well spacing. These features demand exquisite accuracy and thereby constrain motion controls to enable robust time-resolved crystallographic studies. The system was tested with three enzyme systems, comprising lysozyme and two β-lactamases, CTX-M-15 and AmpCEC. Mitigation strategies for cross-well contamination, including the implementation of interleaved controls, are described; the overall performance of the system at synchrotron and X-ray free-electron laser facilities was evaluated. This drop-on-fixed-target method is a reliable framework for time-resolved crystallography and will improve the consistency of measurements across facilities.
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Jul 2026
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VMXi-Versatile Macromolecular Crystallography in situ
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Open Access
Abstract: Macromolecular crystallography provides mechanistic understanding of biological processes and can be applied in drug design. Nowadays, the use of robotic systems for crystal growth and diffraction analysis is widespread and high-throughput protein-to-structure pipelines for ligand and fragment screening are revolutionizing the field. However, the identification of crystals is still largely carried out through manual inspection, sometimes involving tens of thousands of images, which represents a bottleneck in an otherwise highly automated process. Here we describe AXIS, an AI-based Crystal Identification System combining the DINOv2 computer vision model, state-of-the-art transfer learning and MARCO, the largest crystallization dataset available to date, for automated crystal detection. AXIS can operate with both visible and UV light images and integrates a Lab-in-the-Loop approach combining ML and expert inputs for iterative learning and specialization. AXIS enables automated annotation of large crystallization image datasets with performance and accuracy comparable to that of human experts, and the Lab-in-the-Loop approach introduced here enables efficient adaptation to local conditions, facilitating widespread application, which has been a major limitation to date. AXIS can help to correct human errors in image annotation and removes critical bottlenecks, particularly in the context of extensive crystallization screens or high-throughput applications like fragment and ligand screening, unlocking the potential for higher levels of automation that are key in both fundamental and translational research.
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May 2026
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Open Access
Abstract: Serial crystallography relies on the reproducible production of high-density suspensions of microcrystals, yet sample optimization remains a resource-intensive bottleneck. While phase diagrams provide a theoretical framework for controlling crystal size and number, experimental mapping is traditionally hindered by relatively high sample consumption. We present an automated microbatch-under-oil crystallization approach that rapidly maps phase boundaries using only 15–60 µl (∼0.15–3.8 mg) of protein. While this workflow is ideally suited for refining existing hits, it serves as a standalone platform for characterizing the crystallization landscape of new protein targets. The power of this approach lies in the integration of three distinct strategies that exploit the stable chemical environment of microbatch-under-oil. Firstly, we utilize an ingenious diagonal sampling strategy that traverses the phase boundary parallel to the solubility curve by systematically varying protein-to-precipitant ratios, identifying primary nucleation zones with far greater efficiency than traditional orthogonal grids. Secondly, we employ a linked variation of multiple precipitants to reveal morphology-specific regions, such as the rod versus plate transitions crucial for time-resolved experiments. Finally, we incorporate automated seed-stock titration to precisely define the metastable zone, enabling the predictive rescue of nucleation-limited systems. The synergy of these three strategies enables the systematic decoupling of nucleation from growth, providing a rational route to optimize microcrystal density, size and lattice order. Crucially, by eliminating the evaporation-related variables inherent in vapor diffusion, this method ensures that the chemical coordinates identified during screening remain constant during scale-up to larger volumes. This workflow transforms empirical serial crystallography sample preparation into a rational, reproducible and highly efficient process applicable to both the optimization of known conditions and the de novo development of microcrystal suspensions, tailored to the rigorous demands of modern serial diffraction experiments.
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Mar 2026
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I22-Small angle scattering & Diffraction
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Diamond Proposal Number(s):
[15320]
Open Access
Abstract: Understanding the structure–function relationships in anisotropic fibre-symmetric materials is critical for both biological insight and bioinspired design. We present a generalized analytical model for X-ray diffraction intensity from nanofibrillar materials with fibre symmetry, accommodating arbitrary diffraction rings beyond prior axial and equatorial limits. This model integrates 3D orientation, strain heterogeneity and angular misalignment effects, and is validated using wide-angle X-ray diffraction (WAXD) from the Bouligand-structured cuticle of the mantis shrimp (Odontodactylus scyllarus). Using scanning synchrotron WAXD, we extract depth-averaged and sub-lamellar information on 3D fibre orientation and crystalline parameters from 2D scans. Model simulations and experimental fits show accurate reconstruction of the Bouligand texture and reveal spatial gradients in orientation, strain and angular dispersion. By fitting multiple reflections – axial (002), equatorial (110) and intermediate (013) – we improve the robustness in parameter extraction, especially in regions where the Ewald condition is partially satisfied. Our framework enhances the interpretation of WAXD in heterogeneous fibre-based materials and can be embedded into advanced tomographic or machine-learning workflows. This approach is applicable to a broad class of biological and synthetic composites, facilitating high-throughput structural characterization in scenarios where rotation is impractical or impossible.
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Dec 2025
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