In situ structure determination at nanometer resolution using TYGRESS.

Protein-ligand interactions in crowded cellular environments play a crucial role in biological functions. The crowded environment can perturb the overall protein structure and local conformation, thereby influencing the binding pathway of protein-ligand reactions within the cellular milieu. Therefore, a detailed understanding of the local conformation is crucial for elucidating the intricacies of protein-ligand interactions in crowded cellular environments. In this study, we investigated the feasibility of induced circular dichroism (ICD) using 8-anilinonaphthalene-1-sulfonic acid (ANS) for local conformational analysis at the binding site in a crowding environment. Bovine serum albumin (BSA) concentration-dependent measurements were performed to assess the feasibility of ANS-ICD for analyzing protein interior binding sites. The results showed distinct changes in the ANS-ICD spectra of BSA solutions, indicating their potential for analyzing the internal conformation of proteins. Moreover, temperature-dependent measurements were performed in dilute and crowding environments, revealing distinct denaturation pathways of BSA binding sites. Principal component analysis of ANS-ICD spectral changes revealed lower temperature pre-denaturation in the crowded solution than that in the diluted solution, suggesting destabilization of binding sites owing to self-crowding repulsive interactions. The established ANS-ICD method can provide valuable conformational insights into protein-ligand interactions in crowded cellular environments.

BackgroundCryo-electron tomography is an important tool to study structures of macromolecular complexes in close to native states. A whole cell cryo electron tomogram contains structural information of all its macromolecular complexes. However, extracting this information remains challenging, and relies on sophisticated image processing, in particular for template-free particle extraction, classification and averaging. To develop these methods it is crucial to realistically simulate tomograms of crowded cellular environments, which can then serve as ground truth models for assessing and optimizing methods for detection of complexes in cell tomograms.ResultsWe present a framework to generate crowded mixtures of macromolecular complexes for realistically simulating cryo electron tomograms including noise and image distortions due to the missing-wedge effects. Simulated tomograms are then used for assessing the template-free Difference-of-Gaussian (DoG) particle-picking method to detect complexes of different shapes and sizes under various crowding and noise levels. We identified DoG parameter settings that maximize precision and recall for detecting particles over a wide range of sizes and shapes. We observed that medium sized DoG scaling factors showed the overall best performance. To further improve performance, we propose a combination strategy for integrating results from multiple parameter settings. With increasing macromolecular crowding levels, the precision of particle picking remained relatively high, while the recall was dramatically reduced, which limits the detection of sufficient copy numbers of complexes in a crowded environment. Over a wide range of increasing noise levels, the DoG particle picking performance remained stable, but dramatically reduced beyond a specific noise threshold.ConclusionsAutomatic and reference-free particle picking is an important first step in a visual proteomics analysis of cell tomograms. However, cell cytoplasm is highly crowded, which makes particle detection challenging. It is therefore important to test particle-picking methods in a realistic crowded setting. Here, we present a framework for simulating tomograms of cellular environments at high crowding levels and assess the DoG particle picking method. We determined optimal parameter settings to maximize the performance of the DoG particle-picking method.Electronic supplementary materialThe online version of this article (doi:10.1186/s12859-016-1283-3) contains supplementary material, which is available to authorized users.

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

Quantifying resolution limiting factors in subtomogram averaged cryo-electron tomography using simulations.

Human Immunodeficiency virus type 1 (HIV-1) is a lentivirus that infects non-dividing cells of the immune system. In non-dividing cells, nuclear import of the viral genome occurs through the nuclear pore complex (NPC), a large macromolecular assembly that forms a channel of ~40 nm across the nuclear envelope. This process requires interactions between NPC components known as nucleoporins and CA (capsid) proteins of HIV-1 post-fusion complexes. In mature HIV-1 virions, multiple copies of CA assemble into a lattice of hexamers and pentamers, forming a cone-shaped capsid core of ~60 nm in width and ~110 nm in length encasing the viral genome. Because of its large size, it was generally believed that the capsid core entirely or partially disassembled prior to its translocation through the NPC. However, nuclear entry and uncoating are rare events and challenging to characterize and therefore subject to a long-standing debate. Here, cryo-electron tomography (cryo-ET) on cryo-focused ion beam (FIB) milled T-cells was combined with subtomogram averaging (SA) to study the ultrastructure of HIV-1 capsids in the process of nuclear entry. Using a HIV-1 variant arrested at the nuclear pore due to a defect in binding of the CA lattice to the host cell protein CPSF6, snapshots of HIV-1 nuclear entry at multiple stages were captured. Reverse transcription-competent HIV-1 complexes were identified in the cytosol, docking to and within the NPC, and in the nucleoplasm of T cells. Surprisingly, in the cytosol and at the NPC, the viral complexes retained cone-shaped capsids highly resembling in size and geometry the mature capsid cores within intact virions. The density at their interior suggested that they were associated with the viral genome. The cone-shape capsids deeply enter into the NPC central channel with their narrow ends. The hexameric lattices of these capsids were intact or nearly intact. These findings argued against the current models of uncoating in the cytosol or at the NPC and rather supported translocation of intact HIV-1 capsids through the NPC. Instead, HIV-1 capsids uncoat in the nucleus of T cells. Inside the nucleus, tube-shape fragments still containing few lattice elements were observed. The lack of density at their inside suggested that the viral genome was released from these complexes. Uncoating may thus occur through the partial opening and remodeling of the hexameric lattices of HIV-1 capsids, rather than a step-wise disassembly. To address how an intact HIV-1 capsid can enter the central channel of NPC, the human NPC from T cells was structurally analyzed in cellulo by SA. The NPC overall structure was not altered upon infection but rather dilated in comparison to the structure previously obtained from purified envelopes. The diameter of the central channel of NPC in T cells corresponded to ~64 nm, suggesting that the translocation of intact HIV-1 capsid through the NPC is geometrically possible. The dilated conformation of NPCs in T cells is independent of HIV-1 infection, but represents a physiological condition of actively transporting NPCs.

Cryo-electron tomography (cryo-ET) can be used to reconstruct three-dimensional (3D) volumes, or tomograms, from a series of tilted two-dimensional images of biological objects in their near-native states in situ or in vitro. 3D subvolumes, or subtomograms, containing particles of interest can be extracted from tomograms, aligned, and averaged in a process called subtomogram averaging (STA). STA overcomes the low signal to noise ratio within the individual subtomograms to generate structures of the particle(s) of interest. In recent years, cryo-ET with STA has increasingly been capable of reaching subnanometer resolution due to improvements in microscope hardware and data processing strategies. There has also been an increase in the number and quality of software packages available to process cryo-ET data with STA. In this review, we describe and assess the data processing strategies available for cryo-ET data and highlight the recent software developments which have enabled the extraction of high-resolution information from cryo-ET datasets.

Structural characterization of amyloid (A)β peptides implicated in Alzheimer's disease is a challenging problem due to their intrinsically disordered nature and their high propensity for aggregation. Only limited information is currently available from experiments on conformational properties and aggregation pathways of the peptides in cellular environments. In silico modeling complements experimental information, providing atomistic insight into structure and dynamics of different Aβ species. All-atom explicit solvent molecular dynamics (MD) simulations with a properly selected force field can deliver reliable structural and dynamic information. In the case of intrinsically disordered Aβ peptides, enhanced sampling simulations beyond the nanosecond time scale are required to obtain statistically meaningful results even for simple solvent conditions. To overcome the challenges of conformational sampling in crowded cellular environments, alternative approaches have to be used, including postprocessing of MD data. In this study, we employ the statistical-mechanical, three-dimensional reference interaction site model with the Kovalenko-Hirata closure integral equation molecular theory of solvation to describe solvent composition effects on the conformational equilibrium in a structural ensemble of the Aβ42 (covering residues 1-42) monomer based on a statistical reweighting technique. The methodology enables a computationally efficient prediction on how different factors in the cellular environment, such as solvent composition, nonpolar solvation, and macromolecular crowding, affect the structural properties of the monomer. Similarities have been identified between changes in the structural ensemble caused by nonpolar solvation and crowded environments modeled by ionic solution with large negative ions. In particular, both solvent conditions reduce the random coil content and enhance the helical structure content of the monomer. In contrast to the previous studies, which reported increased α-helical content of peptides in crowded environments, this work attributes these structural features to the difference in solvent exposure of hydrophilic residues of the monomer for different secondary structure elements, rather than to (entropic) excluded volume effects.

Background Electron cryotomography is a powerful imaging technique allowing for studying functional cellular modules in their native environment with macromolecular resolution. However, it requires access to complex and expensive instrumentation, typically a 300 kV electron cryomicroscope equipped with an energy filter. Simpler and cheaper 200 and 100 kV instruments have been successfully used for single particle cryoEM analyses, which has helped to democratize the technique and broaden access. It has not been systematically studied if 200 kV electron cryomicroscopes can deliver meaningful and interpretable data with respect to electron cryotomography applications. Methods Here, we set out to investigate if a 200 kV electron cryomicroscope without an energy filter can be utilized for in situ structural studies of mammalian cells by electron cryotomography of thin cell edges followed by extensive image analysis including segmentations, subtomogram averaging and molecular sociology studies of lipid droplets. Results We demonstrate that the resulting tomograms of thin edges of U2OS cells are of sufficient quality to annotate the contents of the cell and observe spatial inter-relationships among macromolecules. In particular, we undertook a molecular sociology analysis of lipid droplets and addressed their subcellular distribution and interactions with other organelles. Additionally, we performed subtomogram averaging of purified 70S ribosomes that resulted in ∼15 Å resolution 3D reconstruction. Finally, we examined geographical distribution and scientific output of the two most common electron cryomicroscopy platforms and deduced that 200 kV instruments are heavily underutilized with respect to electron cryotomography applications. Discussion This study demonstrates that 200 kV electron cryomicroscopes can be utilized for structural cell biology studies by electron cryotomography. Given the favorable ratio of their versatility versus costs we foresee that 200 kV electron cryomicroscopes will become workhorses of local electron cryomicroscopy facilities.

Electron cryotomography is a powerful imaging technique allowing for studying functional cellular modules in their native environment with macromolecular resolution. However, it requires access to complex and expensive instrumentation, typically a 300 kV electron cryomicroscope equipped with an energy filter. Simpler and cheaper 200 and 100 kV instruments have been successfully used for single particle cryoEM analyses, which has helped to democratize the technique and broaden access. It has not been systematically studied if 200 kV electron cryomicroscopes can deliver meaningful and interpretable data with respect to electron cryotomography applications. Here, we set out to investigate if a 200 kV electron cryomicroscope without an energy filter can be utilized for in situ structural studies of mammalian cells by electron cryotomography of thin cell edges followed by extensive image analysis including segmentations, subtomogram averaging and molecular sociology studies of lipid droplets. We demonstrate that the resulting tomograms of thin edges of U2OS cells are of sufficient quality to annotate the contents of the cell and observe spatial inter-relationships among macromolecules. In particular, we undertook a molecular sociology analysis of lipid droplets and addressed their subcellular distribution and interactions with other organelles. Additionally, we performed subtomogram averaging of purified 70S ribosomes that resulted in ~ 15 Å resolution 3D reconstruction. Finally, we examined geographical distribution and scientific output of the two most common electron cryomicroscopy platforms and deduced that 200 kV instruments are heavily underutilized with respect to electron cryotomography applications. This study demonstrates that 200 kV electron cryomicroscopes can be utilized for structural cell biology studies by electron cryotomography. Given the favorable ratio of their versatility versus costs we foresee that 200 kV electron cryomicroscopes will become workhorses of local electron cryomicroscopy facilities.

DPANN is a widespread and diverse group of archaea characterized by their small size, reduced genome, limited metabolic pathways, and symbiotic existence. Known DPANN species are predominantly obligate ectosymbionts that depend on their host for proliferation. The structural and molecular details of host recognition, host-DPANN intercellular communication, and host adaptation in response to DPANN attachment remain unknown. Here, we use electron cryotomography (cryo-ET) to show that the Microcaldus variisymbioticus ARM-1 may interact with its host, Metallosphaera javensis AS-7 through intercellular proteinaceous nanotubes. Combining cryo-ET and sub-tomogram averaging, we show the in situ architectures of host and DPANN S-layers and the structures of the nanotubes in their primed and extended states. In addition, comparative proteomics and genomic analyses identified host proteomic changes in response to DPANN attachment. These results provide insights into the structural basis of host-DPANN communication and deepen our understanding of the host ectosymbiotic relationships.

Structures of macromolecules in their native state provide unique unambiguous insights into their functions. Cryo-electron tomography combined with subtomogram averaging demonstrated the power to solve such structures in situ at resolutions in the range of 3 Angstrom for some macromolecules. In order to be applicable to the structural determination of the majority of macromolecules observable in cells in limited amounts, processing of tomographic data has to be performed in a high-throughput manner. Here we present TomoBEAR—a modular configurable workflow engine for streamlined processing of cryo-electron tomographic data for subtomogram averaging. TomoBEAR combines commonly used cryo-EM packages with reasonable presets to provide a transparent (“white box”) approach for data management and processing. We demonstrate applications of TomoBEAR to two data sets of purified macromolecular targets, to an ion channel RyR1 in a membrane, and the tomograms of plasma FIB-milled lamellae and demonstrate the ability to produce high-resolution structures. TomoBEAR speeds up data processing, minimizes human interventions, and will help accelerate the adoption of in situ structural biology by cryo-ET. The source code and the documentation are freely available.

M-free: scoring the reference bias in sub-tomogram averaging and template matching.

Determining the three-dimensional structure of biomacromolecules at high resolution in their native cellular environment is a major challenge for structural biology. Toward this end, electron cryotomography (ECT) allows large bio-macromolecular assemblies to be imaged directly in their hydrated physiological milieu to ~4nm resolution. Combining ECT with other techniques like fluorescent imaging, immunogold labeling, and genetic manipulation has allowed the in situ investigation of complex biological processes at macromolecular resolution. Furthermore, the advent of cryogenic focused ion beam (FIB) milling has extended the domain of ECT to include regions even deep within thick eukaryotic cells. Anticipating two audiences (scientists who just want to understand the potential and general workflow involved and scientists who are learning how to do the work themselves), here we present both a broad overview of this kind of work and a step-by-step example protocol for ECT and subtomogram averaging using the Legionella pneumophila Dot/Icm type IV secretion system (T4SS) as a case study. While the general workflow is presented in step-by-step detail, we refer to online tutorials, user's manuals, and other training materials for the essential background understanding needed to perform each step.

Advances in cryogenic electron microscopy (cryoEM) single particle analysis have revolutionized structural biology by facilitating the in vitro determination of atomic- and near-atomic-resolution structures for fully hydrated macromolecular complexes exhibiting compositional and conformational heterogeneity across a wide range of sizes. Cryogenic electron tomography (cryoET) and subtomogram averaging are rapidly progressing toward delivering similar insights for macromolecular complexes in situ, without requiring tags or harsh biochemical purification. Furthermore, cryoET enables the visualization of cellular and tissue phenotypes directly at molecular, nanometric resolution without chemical fixation or staining artifacts. This forward-looking review covers recent developments in cryoEM/ET and related technologies such as cryogenic focused ion beam milling scanning electron microscopy and correlative light microscopy, increasingly enhanced and supported by artificial intelligence algorithms. Their potential application to emerging concepts is discussed, primarily the prospect of complementing medical histopathology analysis. Machine learning solutions are poised to address current challenges posed by "big data" in cryoET of tissues, cells, and macromolecules, offering the promise of enabling novel, quantitative insights into disease processes, which may translate into the clinic and lead to improved diagnostics and targeted therapeutics.

BackgroundFiloviruses, including Ebola virus, are unusual in being filamentous animal viruses. Structural data on the arrangement, stoichiometry and organisation of the component molecules of filoviruses has until now been lacking, partially due to the need to work under level 4 biological containment. The present study provides unique insights into the structure of this deadly pathogen.Methodology and Principal FindingsWe have investigated the structure of Ebola virus using a combination of cryo-electron microscopy, cryo-electron tomography, sub-tomogram averaging, and single particle image processing. Here we report the three-dimensional structure and architecture of Ebola virus and establish that multiple copies of the RNA genome can be packaged to produce polyploid virus particles, through an extreme degree of length polymorphism. We show that the helical Ebola virus inner nucleocapsid containing RNA and nucleoprotein is stabilized by an outer layer of VP24-VP35 bridges. Elucidation of the structure of the membrane-associated glycoprotein in its native state indicates that the putative receptor-binding site is occluded within the molecule, while a major neutralizing epitope is exposed on its surface proximal to the viral envelope. The matrix protein VP40 forms a regular lattice within the envelope, although its contacts with the nucleocapsid are irregular.ConclusionsThe results of this study demonstrate a modular organization in Ebola virus that accommodates a well-ordered, symmetrical nucleocapsid within a flexible, tubular membrane envelope.