Journal of Structural Biology: X

The structural analysis of protein complexes by cryo-electron microscopy (cryo-EM) single particle analysis (SPA) has had great impact as a biophysical method in recent years. Many results of cryo-EM SPA are based on state-of-the-art cryo-electron microscopes customized for SPA. These are currently only available in limited locations around the world, where securing machine time is highly competitive. One potential solution for this time-competitive situation is to reuse existing multi-purpose equipment. Here, we used a multi-purpose TEM with a side entry cryo-holder at our facility to evaluate the potential of high-resolution SPA. We report a 3 [A] resolution map of apoferritin with local resolution extending to 2.6 [A]. The map clearly showed two positions of an aromatic side chain. We also verified the optimal imaging conditions depending on different electron microscope and camera combinations. This study demonstrates the possibilities of more widely available and established electron microscopes, and their applications for cryo-EM SPA.

Atomic resolution in cryo-electron microscopy was first demonstrated six years ago. This was accomplished using 300 kV electron microscopes equipped with new hardware that provided narrower energy spread, aberration correction, and energy filtering. Here, we report the achievement of 1.24 [A] atomic resolution on an upgraded 200 kV electron microscope featuring a cold field emission gun, a high-resolution objective lens polepiece, and an energy filter. These components transform the instrument into a cost-effective single particle cryo-EM platform with performance comparable to that of significantly more expensive 300 kV systems. The microscope can also be operated at 100 kV and by using a high-speed hybrid-pixel detector we were able to reach sub-2 [A] resolution.

Recently it has been demonstrated that single-particle cryogenic electron microscopy (cryo-EM) at 200 keV is capable of determining protein structures, including those smaller than 100 kDa, at sub-3.0 [A] resolutions, without using significant defocus or a phase plate. However, the majority of near-atomic resolution cryo-EM structures has been determined using 300 keV. Consequently, many typical parameter settings for the cryo-EM computational image processing steps, especially those associated with the contrast transfer function, are based on the accumulated experience of 300 kV cryo-EM. We have therefore revised these parameters, established theoretical bases for criteria to find an optimal mask diameter and box size for a given dataset irrespective of acceleration voltage or protein size, and proposed a protocol. Considering the defocus distributions of the datasets, merely optimizing the mask diameters and box sizes yielded meaningful resolution improvements for the reconstruction of < 200 kDa proteins using 200 kV cryo-EM.

Type 1 pili are protein filamentous surface structures of Gram-negative bacteria that mediate adhesion to host and play a crucial role in infection. Here, we report the cryogenic electron microscopy structure of the type 1 pilus from E. coli K-12 comprising 15 subunits of the major protein pilin FimA. The final resolution of EM reconstruction was estimated to be in the range from 2.09 to 2.30 [A], which is higher than that of the previously published structure. This improvement in the resolution enabled us to refine side-chain conformations to reliably determine the distances between the side-chain residues participating in the intersubunit interactions, and determine a network of water molecules surrounding the pilus rod. The analysis revealed that water contributes to intersubunit stabilization both through discrete bridging interactions and through extended hydrogen-bonded clusters, thereby supporting both the rigidity and flexibility of the filament. Comparison with a homologous high-resolution pilus model from enterotoxigenic E. coli showed that nearly all "conserved" water molecules i.e., those that are present at equivalent positions in different subunits of our model occupy also equivalent positions across the two structures, under-scoring their functional relevance. At the same time, sequence-specific differences in hydration patterns were observed. These findings highlight the structural and functional importance of water in pilus architecture and provide a more detailed molecular framework for understanding bacterial adhesion. SynopsisThe improvement in the resolution of the Cryo-EM reconstruction for type I pilus from E. coli made it possible to determine the positions of water molecules surrounding the pilus rod and reveal a more detailed picture of interactions between different subunits of the rod.

Aggregation of the tau protein into fibrillar cross-{beta} aggregates is a hallmark of Alzheimers diseases (AD) and many other neurodegenerative tauopathies. Recently, several core structures of patient-derived tau paired helical filaments (PHFs) have been solved revealing a structural variability that often correlates with a specific tauopathy. To further characterize the dynamics of these fibril cores, to screen for strain-specific small molecules as potential biomarkers and therapeutics, and to develop strain-specific antibodies, recombinant in-vitro models of tau filaments are needed. We recently showed that a 95-residue fragment of tau (from residue 297 to 391), termed dGAE, forms filaments in vitro in the absence of polyanionic co-factors often used for in vitro aggregation of full length tau. Tau(297-391) was identified as the proteolytic resistant core of tau PHFs and overlaps with the structures characterized by cryo-electron microscopy in ex-vivo PHFs, making it a promising model for the study of AD tau filaments in vitro. In the present study, we used solid-state NMR to characterize tau(297-391) filaments and show that such filaments assembled under non-reducing conditions are more dynamic and less ordered than those made in the presence of the reducing agent, DTT. We further report the resonance assignment of tau(297-392)+DTT filaments and compare it to existing core structures of tau.

Cryo-electron microscopy is transitioning from investigation of isolated macromolecules to in situ studies bridging the realms of structural and cellular biology. Newly available detector technologies enable unconventional contrast modes with particular advantages. Here we demonstrate application of quadrant diode detectors to visualize a range of biological specimens by cryo-Scanning Transmission Electron Tomography (cryo-STET). Theoretically, we decompose coherent contrast by parallax analysis to isolate phase and amplitude contributions in specimens too thick for energy-filtered TEM. We thereby expand the cryo-STEM toolchest to parallax-filtered bright field (pBF) and parallax-filtered integrated differential phase contrast ({pi}DPC) and demonstrate their advantages in tomography using T4-bacteriophages, whole cells, and cryo-lift-out lamellae of cellular multilayers. The results show significant improvements over traditional STEM modalities in a realm where conventional wide-field transmission EM imaging methods are not applicable. The commercial availability of such detectors and the relative ease and speed of image reconstruction should make this realm accessible to the broader community in life science EM and beyond. TeaserParallax-corrected cryo-STET imaging provides coherent phase and amplitude contrast of thick biological specimens.

This report presents a comprehensive data release exploring the tissue microarchitecture of P7 aged mice using Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) combined with machine learning-based segmentations of nuclei. The study includes high-resolution 3D volumes and nucleus segmentations for seven vital tissues--pancreas, liver, kidney, heart, thymus, hippocampus, and skin--from a single mouse. The detailed datasets are openly accessible onOpenOrganelle.org, providing a valuable resource for the scientific community to support further research and collaboration.

Resolution estimation by Fourier shell correlation (FSC) using half data sets is the standard method for map quality assessment in cryo-EM. Currently, the FSC method is largely used for refined cryo-EM maps in the context of single particle cryo-EM or subtomogram averaging. Here, we extended resolution estimation to assess the quality of electron micrographs, tilt-series and tomograms. We developed a robust statistics-based framework, capable of determining local quality estimates in the above cryo-EM data types. We show that the determined quality values on a micrograph and tomogram level can be used as a particle quality criterion to improve averaged 3D reconstructions. Using local quality assessments of tomograms, we were able to characterize tomogram quality dependence on distance inferred by radiation damage of FIB-milled lamella. This robust resolution-based quality assessment approach suitable for multiple cryo-EM data types opens new possibilities for automated quality control and method development in cryo-EM maps as well as tomograms and micrographs.

Progress in NMR in general and in biomolecular applications in particular is driven by increasing magnetic-field strengths leading to improved resolution and sensitivity of the NMR spectra. Recently, persistent superconducting magnets at a magnetic field strength (magnetic induction) of 28.2 T corresponding to 1200 MHz proton resonance frequency became commercially available. We present here a collection of high-field NMR spectra of a variety of proteins, including molecular machines, membrane proteins and viral capsids and others. We show this large panel in order to provide an overview over a range of representative systems under study, rather than a single best performing model system. We discuss both carbon-13 and proton-detected experiments, and show that in 13C spectra substantially higher numbers of peaks can be resolved compared to 850 MHz while for 1H spectra the most impressive increase in resolution is observed for aliphatic side-chain resonances.

S-layers are highly ordered coats of proteins localized on the cell surface of many bacterial species. In these structures, one or more proteins form elementary units that self-assemble into a crystalline monolayer tiling the entire cell surface. Here, the cell envelope of the radiation-resistant bacterium Deinococcus radiodurans was studied by high-resolution cryo-electron microscopy finding the crystalline regularity of the S-layer extended into the layers below. The cell envelope appears to be highly packed and resulting from a three-dimensional crystalline distribution of protein complexes organized in close continuity but allowing different degrees of voidness in the entire thickness. These insights grade S-layers to mesoscale hubs behaving as structural and functional architraves essential for the entire cell body.

Single particle Cryo-Electron microscopy (Cryo-EM) has become an essential structural determination technique with recent hardware developments making it possible to reach atomic resolution at which individual atoms, including hydrogen atoms, can be resolved. Thus Cryo-EM allows not only unprecedented detail regarding the structural architecture of complexes but also a better understanding surrounding their chemical states. In this study we used the enzyme involved in the penultimate step of riboflavin biosynthesis as a test specimen to benchmark a recently installed microscope and determine if other protein complexes could reach a resolution of 1.5[A] or better which so far has only been achieved for the iron carrier ferritin. Using state of the art microscope and detector hardware as well as the latest software techniques to overcome microscope and sample limitations, a 1.42[A] map of Aquifex aeolicus lumazine synthase (AaLS) was obtained from a 48-hour microscope session. In addition to water molecules and ligands involved in AaLS function, we can observe positive density for [~]50% of hydrogen atoms. A small improvement in resolution was achieved by Ewald sphere correction which was expected to limit the resolution to [~]1.5[A] for a molecule of this diameter. Our study confirms that other protein complexes can be solved to near-atomic resolution. Future improvements in specimen preparation and protein complex stabilization may allow more flexible macromolecules to reach this level of resolution and should become a priority of study in the field.

Cryo-electron microscopy (cryo-EM) has become an indispensable technique for determining three-dimensional structures of biological macromolecules. A critical aspect of achieving high-resolution cryo-EM reconstructions is accurately determining and correcting for the microscopes contrast transfer function (CTF). The CTF introduces defocus-dependent distortions during imaging; if not properly accounted for, the CTF can distort features in and limit the resolution of 3D reconstructions. For tilt-series data used in cryo-electron tomography (cryo-ET), CTF estimation becomes even more challenging due to the tilt of the specimen, which introduces a defocus gradient across the field of view, as well as the low dose and signal in individual tilt images. Here, we describe a simple algorithm to improve the accuracy of CTF estimation of tilted images by leveraging the tilt-series alignment parameters determined for tomographic reconstruction to explicitly account for the tilted specimen geometry. In brief, each tilt image is divided into patches, each of which are then stretched according to their defocus shift. These are then summed to provide a coherent power spectra at the tilt axis, which can then be used in standard CTF estimation algorithms. This uses all the data in each image to enhance the visibility of Thon rings, thereby improving high-resolution CTF estimation and subsequent enhancements in the resolution of subtomogram averages.

Many protein-protein interactions behave differently in biochemically purified forms as compared to their in vivo states. As such, determining native protein structures may elucidate structural states previously unknown for even well-characterized proteins. Here we apply the bottom-up structural proteomics method, cryoID, toward a model methanogenic archaeon. While they are keystone organisms in the global carbon cycle and active members of the human microbiome, there is a general lack of characterization of methanogen enzyme structure and function. Through the cryoID approach, we successfully reconstructed and identified the native Methanosarcina acetivorans pyridoxal 5-phosphate (PLP) synthase (PdxS) complex directly from cryogenic electron microscopy (cryoEM) images of fractionated cellular lysate. We found that the native PdxS complex exists as a homo-dodecamer of PdxS subunits, and the previously proposed supracomplex containing both the synthase (PdxS) and glutaminase (PdxT) was not observed in cellular lysate. Our structure shows that the native PdxS monomer fashions a single 8/8{beta} TIM-barrel domain, surrounded by seven additional helices to mediate solvent and interface contacts. A density is present at the active site in the cryoEM map and is interpreted as ribose 5-phosphate. In addition to being the first reconstruction of the PdxS enzyme from a heterogeneous cellular sample, our results reveal a departure from previously published archaeal PdxS crystal structures, lacking the 37 amino acid insertion present in these prior cases. This study demonstrates the potential of applying the cryoID workflow to capture native structural states at atomic resolution for archaeal systems, for which traditional biochemical sample preparation is nontrivial.

PETases are enzymes that can break down the poly-ethylene terephthalate (PET) polymer in its constituent building blocks. This enzymatic recycling process offers a sustainable solution for producing new, high-quality plastics from previously used materials. NMR spectroscopy can help in understanding and ultimately improving these enzymes but is always confronted with the lengthy step of acquisition and interpretation of triple resonance spectra for the spectral assignment. Here, we explore whether this step can be made more efficient by recording the spectra directly at high temperature, which simultaneously corresponds to more realistic working conditions for the enzyme. Taking the inactive variant of LCCICCG as an example, we compare spectral quality at 30{degrees}C and 50{degrees}C, and find that the latter condition greatly improves the Signal-to-Noise (S/N) ratio of the standard triple resonance spectra. Going up to 60{o}C, we show that pulse sequences mainly used for the assignment of intrinsically disordered proteins (IDPs) also become feasible. As a result, we present a methodology enabling exhaustive backbone assignment based on a minimal set of triple resonance spectra acquired and analysed in less than two weeks. The assignment process hence can be completed on a time scale comparable to crystallography, bringing NMR in a favourable position to contribute to bio-structural studies on this family of highly thermostable PETases.

Cryo-electron tomography (cryo-ET) is fast developing from a tool primarily used to investigate structures of individual macromolecular complexes in situ into a high-resolution probe for molecular processes within diverse functional contexts in intact cells. It is thus increasingly necessary that the data are analyzed and quantified as completely as possible. But annotating and structurally characterizing macromolecular complexes with a high degree of completeness is a significant challenge, especially for smaller molecular targets. In particular, it is difficult to avoid incomplete localizations of complexes, false identifications, or losses during computational classification. To address these issues, we assessed parameters in data processing, including the role of voxel size in template matching, the effects of Volta phase plate imaging on localization, classification, and map refinement, and the extent to which multi-particle-based refinement of tiltseries improves these data processing steps. Our analyses provide practical guidelines that help maximize completeness in cellular cryo-ET data; accurate description of the sample is crucial for visual proteomics experiments, and these optimizations help ensure that data annotation and analysis are comprehensive.

Correlative light and electron microscopy (CLEM) allows to link light microscopy (LM) of living cells to ultrastructural analyses by electron microscopy (EM). Pre-embedding CLEM often suffers from inaccurate correlation between the LM and EM modalities due to chemical and physical distortions. Post-embedding CLEM enables precise registration of fluorescent structures directly on thin resin sections. However, in-resin CLEM techniques require fluorescent markers withstanding EM sample preparation. Most fluorescent proteins lose their fluorescence during EM sample preparation. Synthetic dyes present an alternative as their photostability and brightness exceed those of fluorescent proteins. Together with self-labeling enzymes (SLE) as protein tags, these fluorophores can be used to precisely label cellular structures of interest. By applying SLE labelling for post-embedding CLEM, we compared Janelia Fluor dyes and TMR to identify most suitable fluorophores. Epithelial cells expressing HaloTag fusion proteins were stained with various ligand-conjugated dyes, and fluorescence preservation was quantified after conventional room temperature sample preparation with embedding in EPON. The results obtained show that only the red dyes TMR, JF549, JFX549 and JFX554 retain their fluorescence in resin, with JFX549 and JFX554 yielding best signal intensity and signal-to-background ratio during in-resin super-resolution microscopy. Since all red dyes possess an oxygen atom within their xanthene structure, our results indicate that this might be a crucial feature making them more tolerant to sample preparation for electron microscopy. Our work reports a rapid in-resin CLEM approach that combines fast and efficient labeling of SLE tags with EM-compatible fluorophores, and serve as benchmarks for experimental planning and future engineering of fluorophores for CLEM.

Accurate determination of the image pixel size is critical for quantitative cryo-electron microscopy analyses, yet existing calibration methods remain under-utilized because installation barriers and workflow complexity discourage routine adoption. To fill in this gap, a web-based application, WebCalEM, was developed to transform specialized calibration procedures into an accessible routine practice. Micrographs of any specimen with a known crystalline lattice, such as gold or graphene-oxide, are uploaded through a standard browser, processed entirely client-side, and analyzed with real-time visualization and downloadable statistical outputs. The application is delivered as a single self-contained HTML file that runs in any modern web browser without server-side computation, a configuration well suited to isolated core-facility microscope workstations. Cross-standard consistency between gold and graphene-oxide measurements across two microscopes and ten magnification settings yields a Bland-Altman bias of -0.005% of nominal with 95% limits of agreement of [-0.30%, +0.29%]. By delivering this workflow with no local installation, WebCalEM lowers the practical barrier to documented per-dataset magnification calibration in routine cryo-EM operation. SynopsisWebCalEM is a browser-based, install-free application that performs routine cryo-EM pixel-size calibration directly from gold or graphene-oxide reflections in standard sample-support grids using sub-pixel Fourier-space peak localization; it reproduces the precision of established command-line calibration tools while removing the installation barrier and supporting retrospective per-region calibration on archived datasets.

Standardized biological specimens are essential for optimizing cryoEM workflows and benchmarking instrument performance. While apoferritin fulfills this role for single-particle analysis, no equivalent exists for cryo-electron tomography. Ribosomes are frequently used but require large datasets due to C1 symmetry and structural heterogeneity, limiting rapid optimization and standardized comparison of workflows. Here, we present PP7 virus-like particles (VLPs) overexpressed in E. coli as a scalable in situ benchmark. VLPs have high orders of symmetry enabling rapid, high-resolution validation of tomographic pipelines from minimal datasets, while their distinct structural features across low to high resolutions provide a practical resolution metric.

A favorable signal-to-noise ratio is essential for obtaining high-quality diffraction data in macromolecular electron crystallography. Inelastic scattering contributes significantly to the noise, reducing contrast between diffraction peaks and background, which complicates peak detection and compromises the accuracy of intensity integration. Energy filtering mitigates these challenges and enhances diffraction data quality by removing the inelastically scattered electrons, leading to reduced background noise and sharper Bragg peaks. Previously, we reported a substantial improvement in MicroED data quality and resolution with energy filtering. Here, we systematically evaluate the impact of different energy filter slit widths for optimal MicroED data collection. Data from proteinase K lamellae were collected using the 5, 10, and 20 eV energy filter slit widths. Our results show that the narrowest slit widths result in a stronger diffraction signal with lower background noise, improving the precision of the intensity measurements which resulted in better structural models. Our findings provide insights into the optimization of energy filter slit settings that, when paired with direct electron detection, enhance MicroED data collection strategies in MicroED by improving the signal-to-noise ratio, supporting higher quality data and ultimately enabling more precise structure determination.

Cryo-EM has made extraordinary headway towards becoming a semi-automated, high-throughput structure determination technique. In the general workflow, high-to-medium population states are grouped into two- and three-dimensional classes, from which structures can be obtained with near-atomic resolution and subsequently analyzed to interpret function. However, low population states, which are also functionally important, are often discarded. Here, we describe a technique whereby low population states can be efficiently identified with minimal human effort via a deep convolutional neural network classifier. We use this deep learning classifier to describe a transient, low population state of bacteriophage A511 in the midst of infecting its bacterial host. This method can be used to further automate data collection and identify other functionally important low population states.