Online UV-Vis absorption spectroscopy is often used during crystallographic data collection to characterize chromophores within proteins. This includes the study of electron-rich or redox-active enzyme intermediates and cofactors that are prone to specific radiation damage, necessitating suitable low-dose data-collection strategies. In crystallo spectroscopy enables the monitoring of X-ray-induced changes in the spectroscopic signatures of proteins and ligands; however, a comprehensive approach that also considers buffer components is required. Here, we present a mapping of X-ray-induced spectral changes in common crystallization chemicals and mixtures at cryogenic temperature, for which spectroscopic changes can be detected at doses as low as 1 kGy. A transient increase in absorption between 450 and 700 nm is frequently observed, arising from solvated electron absorption. Below 450 nm, several distinct absorption peaks were detected, for example for halides in buffers. In addition, Rayleigh scattering can lead to an increasing loss of photons from the optical path as the wavelength decreases, and thus to a significant elevation of the baseline at shorter wavelengths. In this study, we demonstrate the use of spectroscopic analyses to investigate the chromophoric enzyme intermediate I320 in vitamin B6 biosynthesis. In this case, X-ray-induced spectral changes were attributed to crystallization agents, cryoprotectants and light scattering, thereby excluding intrinsic alterations to the enzyme intermediate under low-dose conditions. Our study highlights the importance of monitoring spectral changes during diffraction data collection to ensure accurate interpretation of the electronic structure of chromophores.

Determining the structure of a protein is essential for understanding its function. However, X-ray crystallography becomes increasingly difficult as the diffracting power of crystals decreases with a decrease in crystal size. This challenge is further exacerbated by the fact that more complex targets tend to crystallize on smaller scales, and efforts to produce larger crystals often fail. Over recent years, serial crystallography techniques at synchrotrons and X-ray free electron lasers (XFEL) have been developed to enable structure determination from smaller crystals and to carry out time-resolved experiments.1 Unfortunately, these methods require large sample quantities, which can be difficult, costly, and time-consuming to produce, particularly for novel systems where little prior information is known. For crystals smaller than 300 nm, micro-electron diffraction (microED) has emerged as a solution for structure determination.2 However, it can be challenging to confirm that a sample is of the correct size for these experiments, and often, samples are too large, necessitating focused ion beam milling to achieve the required sample thickness.3, 4, 5The Versatile Macromolecular Crystallography Microfocus (VMXm)6 beamline was specifically designed to address these challenges by enabling rotation data collection from samples smaller than 20 μm, requiring only minimal sample volumes. This has been achieved through novel mounting of crystals on cryo-electron microscopy grids, blotting away excess liquid,7 conducting data collections in vacuum, and matching the beamsize to the crystal size. These strategies limit the background scatter, allowing weak signal from the micro/nanocrystals to be detected. An additional advantage comes from collecting diffraction data at higher X-ray energies (∼21 keV) to exploit photoelectron escape, extending the lifetime of the crystals in the beam.8, 9 To date, successful X-ray diffraction measurements have been performed on protein crystals as small as ∼1.2 μm and chemical crystallography samples down to 800 nm.In this work we will present the beamline, and the novel strategies adopted to obtain multicrystal data from micro- and nanocrystals. In particular we will focus on comparisons between data collected on more traditional synchrotron beamlines, as well as XFELs to highlight the impact these strategies have on the production of high quality diffraction data.

X-ray diffraction (XRD) of microcrystals is signal-to-noise limited by the inherently weak diffraction. As such, Electron diffraction (ED) is increasingly used to measure diffraction data from submicron crystals, or those deemed too small for XRD due the stronger interaction of electrons with matter. However, many samples which are too thin for XRD are often too thick for ED using the currently available electron beam energies (20 KeV) X-ray beam, with in-vacuum endstation and the use of low background cryoTEM grids for crystal mounting [1], [2]. This has allowed VMXm to collect high-resolution rotation data from single crystals measuring ∼1.2 μm which were only previously tractable using an X-ray Free Electron Laser [3]. This has pushed the amenable sample envelope at synchrotrons to new dimensions and perhaps near to the practical limit of XRD. Indeed, simulations have predicted the limit to be ∼0.5 μm thick in the case of lysozyme, assuming photoelectron escape [4]. This XRD beamline opens up the possibilities to directly compare XRD and ED datasets and understand the complementarity of these experiments.In this work we present data from cubic human insulin crystals that have been thinned by FIB milling from ∼10 μm to various submicron thicknesses. 200 kV ED data were then collected from these lamellae before XRD data were measured from the same lamellae using VMXm. It was possible to obtain a complete XRD dataset to 2.45 Å using a 1.68 μm3 illuminated volume and a 2.04 Å ED dataset from the same 0.25 μm lamella. We have demonstrated that the data quality is comparable between ED and VMXm from the same crystal, while giving an opportunity to directly compare X-ray and electron derived maps. This includes the comparison of the radiation damage each experiment imparts on the sample [5] as well as the information content [6]. This work indicates that the usable sample envelope for synchrotron X-rays extends to much thinner samples than had been previously thought. It is also the first demonstration of ED and XRD measured from the same crystal volume enabling direct comparison of X-ray and electron derived data. Ultimately, the work will inform the design and use of high energy (MeV) ED instruments such as HeXI and how those can be complemented by XRD derived information from beamlines such as VMXm.

The HeXI project, funded by the Wellcome Trust “Electrifying Life Sciences” grant and Diamond Light Source, aims to build a dedicated electron diffractometer to investigate the potential of Mega-electron volt (MeV) electrons for the determination of molecular structures from nanometre sized crystals. The HeXI instrument will leverage the increased penetration of MeV electrons and the high precision goniometry, cryo-sample transfer systems and sample preparation methods developed at Diamond to target crystal thicknesses between 300 nm and ∼1 μm to determine the molecular structures of proteins and pharmacologically relevant molecules. The ability to acquire high-fidelity sweep and serial diffraction data from ≤1-micron thick crystals will bridge the current crystal size gap between samples amenable to electron diffraction performed on commercial Transmission Electron Microscopes (TEMs) using <300 nm crystals and microfocus X-ray diffraction of >3 μm crystals at microfocus beamlines

Simulations of cryo-electron microscopy (cryo-EM) images of biological samples can be used to produce test datasets to support the development of instrumentation, methods, and software, as well as to assess data acquisition and analysis strategies. To be useful, these simulations need to be based on physically realistic models which include large volumes of amorphous ice. The gold standard model for EM image simulation is a physical atom-based ice model produced using molecular dynamics simulations. Although practical for small sample volumes; for simulation of cryo-EM data from large sample volumes, this can be too computationally expensive. We have evaluated a Gaussian Random Field (GRF) ice model which is shown to be more computationally efficient for large sample volumes. The simulated EM images are compared with the gold standard atom-based ice model approach and shown to be directly comparable. Comparison with experimentally acquired data shows the Gaussian random field ice model produces realistic simulations. The software required has been implemented in the Parakeet software package and the underlying atomic models are available online for use by the wider community.

For cryo-electron tomography (cryo-ET) of beam-sensitive biological specimens, a planar sample geometry is typically used. As the sample is tilted, the effective thickness of the sample along the direction of the electron beam increases and the signal-to-noise ratio concomitantly decreases, limiting the transfer of information at high tilt angles. In addition, the tilt range where data can be collected is limited by a combination of various sample-environment constraints, including the limited space in the objective lens pole piece and the possible use of fixed conductive braids to cool the specimen. Consequently, most tilt series are limited to a maximum of ±70°, leading to the presence of a missing wedge in Fourier space. The acquisition of cryo-ET data without a missing wedge, for example using a cylindrical sample geometry, is hence attractive for volumetric analysis of low-symmetry structures such as organelles or vesicles, lysis events, pore formation or filaments for which the missing information cannot be compensated by averaging techniques. Irrespective of the geometry, electron-beam damage to the specimen is an issue and the first images acquired will transfer more high-resolution information than those acquired last. There is also an inherent trade-off between higher sampling in Fourier space and avoiding beam damage to the sample. Finally, the necessity of using a sufficient electron fluence to align the tilt images means that this fluence needs to be fractionated across a small number of images; therefore, the order of data acquisition is also a factor to consider. Here, an n-helix tilt scheme is described and simulated which uses overlapping and interleaved tilt series to maximize the use of a pillar geometry, allowing the entire pillar volume to be reconstructed as a single unit. Three related tilt schemes are also evaluated that extend the continuous and classic dose-symmetric tilt schemes for cryo-ET to pillar samples to enable the collection of isotropic information across all spatial frequencies. A fourfold dose-symmetric scheme is proposed which provides a practical compromise between uniform information transfer and complexity of data acquisition.

One of the challenges for experimental structural biology in the 21st century is to see chemical reactions happen. Staphylococcus aureus (S. aureus) DNA gyrase is a type IIA topoisomerase that can create temporary double-stranded DNA breaks to regulate DNA topology. Drugs, such as gepotidacin, zoliflodacin and the quinolone moxifloxacin, can stabilize these normally transient DNA strand breaks and kill bacteria. Crystal structures of uncleaved DNA with a gepotidacin precursor (2.1 Å GSK2999423) or with doubly cleaved DNA and zoliflodacin (or with its progenitor QPT-1) have been solved in the same P61 space-group (a = b ≈ 93 Å, c ≈ 412 Å). This suggests that it may be possible to observe the two DNA cleavage steps (and two DNA-religation steps) in this P61 space-group. Here, a 2.58 Å anomalous manganese dataset in this crystal form is solved, and four previous crystal structures (1.98 Å, 2.1 Å, 2.5 Å and 2.65 Å) in this crystal form are re-refined to clarify crystal contacts. The structures clearly suggest a single moving metal mechanism—presented in an accompanying (second) paper. A previously published 2.98 Å structure of a yeast topoisomerase II, which has static disorder around a crystallographic twofold axis, was published as containing two metals at one active site. Re-refined coordinates of this 2.98 Å yeast structure are consistent with other type IIA topoisomerase structures in only having one metal ion at each of the two different active sites.

The marine cyanobacterium Prochlorococcus is a main contributor to global photosynthesis, whilst being limited by iron availability. Cyanobacterial genomes typically encode two different types of FutA iron binding proteins: periplasmic FutA2 ABC transporter subunits bind Fe(III), while cytosolic FutA1 binds Fe(II). Owing to their small size and their economized genome Prochlorococcus ecotypes typically possess a single futA gene. How the encoded FutA protein might bind different Fe oxidation states was previously unknown. Here we use structural biology techniques at room temperature to probe the dynamic behavior of FutA. Neutron diffraction confirmed four negatively charged tyrosinates, that together with a neutral water molecule coordinate iron in trigonal bipyramidal geometry. Positioning of the positively charged Arg103 side chain in the second coordination shell yields an overall charge-neutral Fe(III) binding state in structures determined by neutron diffraction and serial femtosecond crystallography. Conventional rotation X-ray crystallography using a home source revealed X-ray induced photoreduction of the iron center with observation of the Fe(II) binding state; here, an additional positioning of the Arg203 side chain in the second coordination shell maintained an overall charge neutral Fe(II) binding site. Dose series using serial synchrotron crystallography and an XFEL X-ray pump-probe approach capture the transition between Fe(III) and Fe(II) states, revealing how Arg203 operates as a switch to accommodate the different iron oxidation states. This switching ability of the Prochlorococcus FutA protein may reflect ecological adaptation by genome streamlining and loss of specialized FutA proteins. Significance Statement Oceanic primary production by marine cyanobacteria is a main contributor to carbon and nitrogen fixation. Prochlorococcus is the most abundant photosynthetic organism on Earth, with an annual carbon fixation comparable to the net global primary production from agriculture. Its remarkable ecological success is based on the ability to thrive in low nutrient waters. To manage iron limitation, Prochlorococcus possesses the FutA protein for iron uptake and homeostasis. We reveal a molecular switch in the FutA protein that allows it to accommodate binding of iron in either the Fe(III) or Fe(II) state using structural biology techniques at room temperature and provide a plausible mechanism for iron binding promiscuity.

This chapter describes additions to the DIALS software package for processing serial still-shot crystallographic data, and the implementation of a pipeline, xia2.ssx, for processing and merging serial crystallography data using DIALS programs. To integrate partial still-shot diffraction data, a 3D gaussian profile model was developed that can describe anisotropic spot shapes. This model is optimised by maximum likelihood methods using the pixel-intensity distributions of strong diffraction spots, enabling simultaneous refinement of the profile model and Ewald-sphere offsets. We demonstrate the processing of an example SSX dataset where the improved partiality estimates lead to better model statistics compared with post-refined isotropic models. We also demonstrate some of the workflows available for merging SSX data, including processing time/dose resolved data series, where data can be separated at the point of merging after scaling and discuss the program outputs used to investigate the data throughout the pipeline.

VMXm joins the suite of operational macromolecular crystallography beamlines at Diamond Light Source. It has been designed to optimize rotation data collections from protein crystals less than 10 µm and down to below 1 µm in size. The beamline has a fully focused beam of 0.3 × 2.3 µm (vertical × horizontal) with a tuneable energy range (6–28 keV) and high flux (1.6 × 1012 photons s−1 at 12.5 keV). The crystals are housed within a vacuum chamber to minimize background scatter from air. Crystals are plunge-cooled on cryo-electron microscopy grids, allowing much of the liquid surrounding the crystals to be removed. These factors improve the signal-to-noise during data collection and the lifetime of the microcrystals can be prolonged by exploiting photoelectron escape. A novel in vacuo sample environment has been designed which also houses a scanning electron microscope to aid with sample visualization. This combination of features at VMXm allows measurements at the physical limits of X-ray crystallography on biomacromolecules to be explored and exploited.

Processing of single-crystal X-ray diffraction data from area detectors can be separated into two steps. First, raw intensities are obtained by integration of the diffraction images, and then data correction and reduction are performed to determine structure-factor amplitudes and their uncertainties. The second step considers the diffraction geometry, sample illumination, decay, absorption and other effects. While absorption is only a minor effect in standard macromolecular crystallography (MX), it can become the largest source of uncertainty for experiments performed at long wavelengths. Current software packages for MX typically employ empirical models to correct for the effects of absorption, with the corrections determined through the procedure of minimizing the differences in intensities between symmetry-equivalent reflections; these models are well suited to capturing smoothly varying experimental effects. However, for very long wavelengths, empirical methods become an unreliable approach to model strong absorption effects with high fidelity. This problem is particularly acute when data multiplicity is low. This paper presents an analytical absorption correction strategy (implemented in new software AnACor) based on a volumetric model of the sample derived from X-ray tomography. Individual path lengths through the different sample materials for all reflections are determined by a ray-tracing method. Several approaches for absorption corrections (spherical harmonics correction, analytical absorption correction and a combination of the two) are compared for two samples, the membrane protein OmpK36 GD, measured at a wavelength of λ = 3.54 Å, and chlorite dismutase, measured at λ = 4.13 Å. Data set statistics, the peak heights in the anomalous difference Fourier maps and the success of experimental phasing are used to compare the results from the different absorption correction approaches. The strategies using the new analytical absorption correction are shown to be superior to the standard spherical harmonics corrections. While the improvements are modest in the 3.54 Å data, the analytical absorption correction outperforms spherical harmonics in the longer-wavelength data (λ = 4.13 Å), which is also reflected in the reduced amount of data being required for successful experimental phasing.

The Collaborative Computational Project No. 4 (CCP4) is a UK-led international collective with a mission to develop, test, distribute and promote software for macromolecular crystallography. The CCP4 suite is a multiplatform collection of programs brought together by familiar execution routines, a set of common libraries and graphical interfaces. The CCP4 suite has experienced several considerable changes since its last reference article, involving new infrastructure, original programs and graphical interfaces. This article, which is intended as a general literature citation for the use of the CCP4 software suite in structure determination, will guide the reader through such transformations, offering a general overview of the new features and outlining future developments. As such, it aims to highlight the individual programs that comprise the suite and to provide the latest references to them for perusal by crystallographers around the world.

This dataset contains the atomic coordinates of several water models produced using the NAMD molecular dynamics software. The contents of each file is listed below. water_81_coords.pdb - water only in a cubic box with side length 81A water_243_coords.pdb - water only in a cubic box with side length 243A water_486_coords.pdb - water only in a cubic box with side length 486A water_567_coords.pdb - water only in a cubic box with side length 567A water_645_coords.pdb - water only in a cubic box with side length 645A water_735_coords.pdb - water only in a cubic box with side length 735A apo_water_723_coords.pdb - water and apoferritin in a cubic box with side length 723A where apoferritin atoms are constrained

Infectious protein crystals are an essential part of the viral lifecycle for double-stranded DNA Baculoviridae and double-stranded RNA cypoviruses. These viral protein crystals, termed occlusion bodies or polyhedra, are dense protein assemblies that form a crystalline array, encasing newly formed virions. Here, using X-ray crystallography we determine the structure of a polyhedrin from Nudiviridae . This double-stranded DNA virus family is a sister-group to the baculoviruses, whose members were thought to lack occlusion bodies. The 70-year-old sample contains a well-ordered lattice formed by a predominantly α-helical building block that assembles into a dense, highly interconnected protein crystal. The lattice is maintained by extensive hydrophobic and electrostatic interactions, disulfide bonds, and domain switching. The resulting lattice is resistant to most environmental stresses. Comparison of this structure to baculovirus or cypovirus polyhedra shows a distinct protein structure, crystal space group, and unit cell dimensions, however, all polyhedra utilise common principles of occlusion body assembly.

Three-dimensional electron diffraction (3DED) from nanocrystals of biological macromolecules requires the use of very small crystals. These are typically less than 300 nm-thick in the direction of the electron beam due to the strong interaction between electrons and matter. In recent years, focused-ion-beam (FIB) milling has been used in the preparation of thin samples for 3DED. These instruments typically use a gallium liquid metal ion source. Inductively coupled plasma (ICP) sources in principle offer faster milling rates. Little work has been done to quantify the damage these sources cause to delicate biological samples at cryogenic temperatures. Here, an analysis of the effect that milling with plasma FIB (pFIB) instrumentation has on lysozyme crystals is presented. This work evaluates both argon and xenon plasmas and compares them with crystals milled with a gallium source. A milling protocol was employed that utilizes an overtilt to produce wedge-shaped lamellae with a shallow thickness gradient which yielded very thin crystalline samples. 3DED data were then acquired and standard data-processing statistics were employed to assess the quality of the diffraction data. An upper bound to the depth of the pFIB-milling damage layer of between 42.5 and 50 nm is reported, corresponding to half the thickness of the thinnest lamellae that resulted in usable diffraction data. A lower bound of between 32.5 and 40 nm is also reported, based on a literature survey of the minimum amount of diffracting material required for 3DED.