Advances in Cryo-Electron Microscopy: Techniques, Applications, and Future Directions

We discuss recent advancements in structural biology methods for investigating sites of protein-protein interactions. We will inform readers outside the field of structural biology about techniques beyond crystallography, and how these different technologies can be utilized for drug development. Advancements in cryo-electron microscopy (cryoEM) and micro-electron diffraction (microED) may change how we view atomic resolution structural biology, such that well-ordered macrocrystals of protein complexes are not required for interface identification. However, some drug discovery applications, such as lead peptide compound generation, may not require atomic resolution; mass spectrometry techniques can provide an expedited path to generation of lead compounds. New crosslinking compounds, more user-friendly data analysis, and novel protocols such as protein painting can advance drug discovery programs, even in the absence of atomic resolution structural data. Finally, artificial intelligence and machine learning methods, while never truly replacing experimental methods, may provide rational ways to stratify potential druggable regions identified with mass spectrometry into higher and lower priority candidates. Electron diffraction of nanocrystals combines the benefits of both x-ray diffraction and cryoEM, and may prove to be the next generation of atomic resolution protein-protein interface identification. However, in situations such as peptide drug discovery, mass spectrometry techniques supported by advancements in computational methods will likely prove sufficient to support drug discovery efforts. In addition, these methods can be significantly faster than any crystallographic or cryoEM methods for identification of interacting regions.

The Leishmania RNA virus 1-4 (LRV1-4) belongs to the Totiviridae family. It has an icosahedral capsid and a double-strand RNA encoding two proteins (capsid protein and RNA polymerase). Recent data indicate the involvement of LRV1-4 in the pathogenesis of Leishmania in the human host, making their study of fundamental importance for the understanding of this disease and its role in host-parasite relationship. There are reports on the purification of the virus from its natural host (Leishmania guyanensis) and from the same heterologous expression systems such as Escherichia coli.This work aims to stablish purification methods for further structural studies by Negative Stain Transmission Microscopy (NS-TEM) and Cryo-Electron Microscopy (Cryo-EM). The studies proposed here will allow the construction of a structural model of the coat protein of LRV1-4 and their correct identification amongst the Totiviridae. In addition to the contributions to the knowledge of the biology and pathogenesis of LRV1-4, this study represents the first structural characterization of a viral capsid held in Brazil and thus an important step forward for the field of virology and structural biology in the country. Sucrose for virus purification gradients were performed from the cell extract of L. guyanensis. Fractions that showed viral RNA were analised by Transmission Electron Microscopy (Campinas LNNano -CNPEM). Furthermore, attempts have been made to express the capsid protein (ORF2) in Leishmania tarentolae and Escherichia coli. There has also been made efforts to obtain antibodies from peptides synthesized accordingly to the computer analysis of the amino acid sequence of the capsid protein. The samples obtained from the natural host of the virus showed a heterogeneous distribution of particles when examined by NS-TEM so that it was not possible to perform a structural analysis. However, the presence of particles of the size expected for the virus particles in samples where the viral RNA was detected indicate that efforts are necessary to obtain a more homogeneous and pure sample. Moreover, it was not possible to obtain the capsid protein in heterologous expression systems. The presence of 25 cysteine residues could have led to the protein rapid degradation in the bacteria host. The expression experiments in Leishmania cells were not yet conclusive. It was also possible to obtain an anti-peptide antibody recognizing the capsid protein, enabling immunoprecipitation and immunolocalization experiments.

The aim of structural biology has been always the study of biological macromolecules structures and their mechanistic behaviour at molecular level. To achieve its goal, multiple biophysical methods and approaches have become part of the structural biology toolbox. Considered as one of the pillars of structural biology, X-ray crystallography has been the most successful method for solving three-dimensional protein structures at atomic level to date. It is however limited by the success in obtaining well-ordered protein crystals that diffract at high resolution. This is especially true for challenging targets such as membrane proteins (MPs). Understanding structure-function relationships of MPs at the biochemical level is vital for medicine and drug discovery as they play critical roles in many cellular processes. Though difficult, structure determination of MPs by X-ray crystallography has significantly improved in the last two decades, mainly due to many relevant technological and methodological developments. Today, numerous MP crystal structures have been solved, revealing many of their mechanisms of action. Yet the field of structural biology has also been through significant technological breakthroughs in recent years, particularly in the fields of single particle electron microscopy (cryo-EM) and X-ray free electron lasers (XFELs). Here we summarise the most important advancements in the field of MP crystallography and the significance of these developments in the present era of modern structural biology.

Membrane proteins are still heavily under-represented in the protein data bank (PDB), owing to multiple bottlenecks. The typical low abundance of membrane proteins in their natural hosts makes it necessary to overexpress these proteins either in heterologous systems or through in vitro translation/cell-free expression. Heterologous expression of proteins, in turn, leads to multiple obstacles, owing to the unpredictability of compatibility of the target protein for expression in a given host. The highly hydrophobic and (or) amphipathic nature of membrane proteins also leads to challenges in producing a homogeneous, stable, and pure sample for structural studies. Circumventing these hurdles has become possible through the introduction of novel protein production protocols; efficient protein isolation and sample preparation methods; and, improvement in hardware and software for structural characterization. Combined, these advances have made the past 10-15 years very exciting and eventful for the field of membrane protein structural biology, with an exponential growth in the number of solved membrane protein structures. In this review, we focus on both the advances and diversity of protein production and purification methods that have allowed this growth in structural knowledge of membrane proteins through X-ray crystallography, nuclear magnetic resonance (NMR) spectroscopy, and cryo-electron microscopy (cryo-EM).

Cryo-electron microscopy (Cryo-EM) structural determination of the MmpL family of transporters.

Iron deficiency and iron deficiency anemia pose significant health challenges worldwide. Iron carbohydrate nanoparticles administered intravenously are a mainstay of treatment to deliver elemental iron safely and effectively. However, despite decades of clinical use, a complete understanding of their physical structure and the significance for their behavior, particularly at the nano-bio interface, is still lacking, underscoring the need to employ more sophisticated characterization methods. Our study used cryogenic Scanning Transmission Electron Microscopy (cryo-STEM) to examine iron carbohydrate nanoparticle morphology. This method builds upon previous research, where direct visualization of the iron cores in these complexes was achieved using cryogenic Transmission Electron Microscopy (cryo-TEM). Our study confirms that the average size of the iron cores within these nanoparticles is approximately 2 nm across all iron-based products studied. Furthermore, our investigation revealed the existence of discernible cluster-like morphologies, not only for ferumoxytol, as previously reported, but also within all the examined iron-carbohydrate products. The application of cryo-STEM for the analyses of product morphologies provides high-contrast and high-resolution images of the nanoparticles, and facilitates the characterization at liquid nitrogen temperature, thereby preserving the structural integrity of these complex samples. The findings from this study offer valuable insights into the physical structure of iron-carbohydrate nanoparticles, a crucial step towards unraveling the intricate relationship between the structure and function of this widely used drug class in treating iron deficiency. Additionally, we developed and utilized the self-supervised machine learning workflow for the image analysis of iron-carbohydrate complexes, which might be further expanded into a useful characterization tool for comparability studies.

Structural studies of biocomplexes using single-particle cryo-electron microscopy (cryo-EM) is now a well-established technique in structural biology and has become competitive with X-ray crystallography. The latest advances in EM enable us to determine structures of protein complexes at 3-5 Å resolution for an extremely broad range of sizes from ~200 kDa up to hundreds of megadaltons (Bartesaghi et al., Science 348(6239):1147-1151, 2051; Bai et al., Nature 525(7568):212-217, 2015; Vinothkumar et al., Nature 515(7525):80-84, 2014; Grigorieff and Harrison, Curr Opin Struct Biol 21(2):265-273, 2011). The majority of biocomplexes comprise a number of different components and are not amenable to crystallisation. Secretion systems are typical examples of such multi-protein complexes, and structural studies of them are extremely challenging. The only feasible approach to revealing their spatial organisation and functional modification is cryo-EM. The development of systems for digital registration of images and algorithms for the fast and efficient processing of recorded images and subsequent analysis facilitated the determination of structures at near-atomic resolution. In this review we will describe sample preparation for cryo-EM, how data are collected by new detectors, and the logistics of image analysis through the basic steps required for reconstructions of both small and large biological complexes and their refinement to nearly atomic resolution. The processing workflow is illustrated using examples of EM analysis of a Type IV Secretion System.

The ins and outs of lncRNA structure: How, why and what comes next?

Advances in electron microscopy: A qualitative view of instrumentation development for macromolecular imaging and tomography

Exosomes are nano-sized extracellular vesicles secreted by body fluids and are known to represent the characteristics of cells that secrete them. The contents and morphology of the secreted vesicles reflect cell behavior or physiological status, for example cell growth, migration, cleavage, and death. The exosomes' role may depend highly on size, and the size of exosomes varies from 30 to 300 nm. The most widely used method for exosome imaging is negative staining, while other results are based on Cryo-Transmission Electron Microscopy, Scanning Electron Microscopy, and Atomic Force Microscopy. The typical exosome's morphology assessed through negative staining is a cup-shape, but further details are not yet clear. An exosome well-characterized through structural study is necessary particular in medical and pharmaceutical fields. Therefore, function-dependent morphology should be verified by electron microscopy techniques such as labeling a specific protein in the detailed structure of exosome. To observe detailed structure, ultrathin sectioned images and negative stained images of exosomes were compared. In this protocol, we suggest transmission electron microscopy for the imaging of exosomes including negative staining, whole mount immuno-staining, block preparation, thin section, and immuno-gold labelling.

The development of cryo-electron microscopy (cryo-EM) has led to significant advancements in the field of structural biology. Specifically, improvements in both hardware and software for cryo-EM have not only addressed previously perceived limitations but have also enabled the accumulation of a vast amount of structural data. The integration of cryo-EM with computational methods, such as molecular docking and molecular dynamics (MD) simulations, has further advanced the study of the molecular mechanisms underlying biological processes. This review explores the transformative contributions of cryo-EM to structural biology and highlights how molecular docking and MD simulations complement experimental data to investigate protein-protein interactions. We discuss the combined application of cryo-EM, molecular docking, and MD simulations, focusing on their roles in advancing structural analysis. Finally, we consider prospective applications, emphasizing the significant influence these techniques on the structural biology. These integrated methodologies provide valuable insights into biomolecular interactions and support structure- and fragment-based drug discovery, offering more accurate and de-tailed structural characterization.

The field of structural biology has received a major thrust, thanks to the important advancements in cryo-electron microscopy coupled with the development of highly reliable computer-predicted structural models. Throughout evolution, the tertiary structure of proteins is more conserved than their primary structure. The superposition of protein tertiary structures has been a powerful tool in the identification of proteins with remote homology, whose evolutionary footprints are no longer detectable through their primary sequence alignment, and more recently in the reconstruction of evolutionary trees. These structure-based phylogenetic trees have been demonstrated to be quite useful in the study of deep evolutionary events and in the analysis of biological entities with extremely high mutation rates, such as RNA viruses. The construction of phylogenetic trees from tertiary structures starts by performing pairwise comparisons between a set of proteins, from which certain parameters, such as the number of spatially aligned residues and the average distance between their ɑ-carbons, are collected. These measurements are then used to calculate a structural distance metric, which can be used as input for the construction of an evolutionary tree.

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Correlative light and electron microscopy (CLEM) is a powerful tool for investigating cellular structure and function at the molecular level. However, while electron microscopy is often performed to great advantage at cryogenic temperatures, this is not always the case for light microscopy. One key challenge is the lack of cryo-compatible immersion objectives. In recent years, multiple cryoimmersion light microscopy (cryo-iLM) approaches have been described, but these techniques have never been used in correlative approaches. Here we present a novel workflow for correlative cryoimmersion light microscopy and electron cryomicroscopy (cryo-iCLEM). Cryo-electron tomography conducted before and after cryo-iLM reveals that cryo-iCLEM maintains ultra-thin, electron-transparent samples mechanically intact and does not degrade the ultrastructural preservation achieved through plunge-freezing. For cryo-iLM, the sample is first embedded in a viscous immersion medium at cryogenic temperatures and examined with a custom cryo-immersion objective. After cryo-iLM, the immersion medium is dissolved in liquid ethane, allowing for subsequent cryo-EM imaging. We further show that cryo-iCLEM can be used on FIB-lamellae, demonstrating that mechanically sensitive samples remain undamaged. Embedding the sample in the immersion fluid reduces contamination and thus allows data acquisition over many hours. Samples can therefore be examined in detail with the advantage of low bleaching rates of fluorophores at cryogenic temperatures. In the future, we hope that our approach can help improve the performance of many advanced light microscopy techniques when they are applied in the context of cryo-CLEM.

Cryo-electron microscopy (cryo-EM) has transformed structural biology by enabling the determination of macromolecular structures at near-atomic resolution. The recent Nobel Prizes awarded to John Hopfield and Geoffrey Hinton in Physics, and to David Baker, Demis Hassabis, and John Jumper in Chemistry, highlight the growing convergence of artificial intelligence (AI) and computational innovation in advancing scientific discovery. Cryo-EM has emerged as a powerful tool for elucidating the architectures and dynamics of complex biological assemblies. Its ability to capture multiple conformational states provides mechanistic insights that are critical for understanding molecular function. However, traditional cryo-EM data processing pipelines face challenges in handling large, heterogeneous datasets. Manual particle selection, extensive computational demands, and uneven sampling of conformational states often limit resolution, especially for rare or transient conformations. Recent advances in AI-driven methods are reshaping this landscape. Deep neural networks now facilitate automated particle picking, denoising, classification, and three-dimensional reconstruction, substantially reducing human bias and computational bottlenecks. Machine learning models have also enhanced the accuracy of map interpretation and atomic modeling, accelerating the transition from raw micrographs to high-resolution structures. These developments represent a paradigm shift, positioning AI as an integral component of the “resolution revolution” in structural biology. This comprehensive article examines the state of the art in cryo-electron microscopy, highlighting how artificial intelligence is redefining every stage of the workflow-from automated particle picking and map reconstruction to structure modeling and high-resolution refinement. The integration of deep learning and neural network-based tools has transformed cryo-EM into a data-driven and highly precise discovery platform. By showcasing these innovations, we emphasize AI’s pivotal role in advancing next-generation cryo-EM research and accelerating molecular insights with profound implications for structural biology and drug discovery. Not applicable.