Cryo-electron tomography of viral infection - from applications to biosafety

Cryogenic Electron Microscopy of Rift Valley Fever Virus

Rift Valley fever virus (RVFV) is an important livestock and human pathogen. It is also a potential bioweapon owing to its ability to spread by aerosols. It is an enveloped virus containing surface protrusions composed of two viral glycoproteins, Gc and Gn; the viral core contains ribonucleoprotein complexes. We describe the use of cryogenic electron microscopy (Cryo-EM) of single particles to visualize the three-dimensional (3D) organization of RVFV. The spherical RVFV virions have a diameter of 100 nm with icosahedral symmetry (T = 12) and 720 prominent protrusions on their surface.In this chapter we describe the general protocols to prepare virus suspensions for Cryo-EM, image acquisition of virus particles embedded in vitreous water, and their image processing. Because of RVFV being classified as a BSL3 and potentially as a select agent, we also describe the protocol of performing Cryo-EM grid preparation and imaging in our Cryo-EM BSL3 containment, along with the general etiquette of using BSL3 containment for research, including entry into containment, dressing up for work there, manipulation with the agent, grid preparation, transfer of the frozen grids into a microscope, etc., waste disposal, and finally exit from the containment. The microscope decontamination with ClO2 is briefly described as well because that technique is not widely used in the Cryo-EM field.

Sample Preparation for Cryo-Electron Tomography of Influenza A Virus and Infected Cells

Influenza A virus (IAV) replication within host cells relies on tightly controlled, dynamic interactions between viral and cellular components. Yet we have a limited understanding of the viral replication cycle at molecular resolution. Electron microscopy of resin-embedded samples has traditionally been employed to investigate viral replication in cells. However, this technique relies on chemical fixation of samples, dehydration, and resin embedding, which leads to loss of molecular details. Cryo-electron tomography emerged as an indispensable tool enabling the exploration of viral replication within vitrified samples, providing an unperturbed environment. Here, we provide a sample preparation protocol for in vitro and cellular cryo-electron tomography of isolated IAV, as well as for cryo-focused ion beam milling of IAV-infected cells at different stages of infection. The emphasis of this chapter is on infection conditions, grid handling, and adaptation of microscopy settings to the individual sample while adhering to biosafety regulations.

Visualizing the virus world inside the cell by cryo-electron tomography

Structural studies on purified virus have revealed intricate architectures, but there is little structural information on how viruses interact with host cells in situ. Cryo-focused ion beam (FIB) milling and cryo-electron tomography (cryo-ET) have emerged as revolutionary tools in structural biology to visualize the dynamic conformational of viral particles and their interactions with host factors within infected cells. Here, we review the state-of-the-art cryo-ET technique for in situ viral structure studies and highlight exemplary studies that showcase the remarkable capabilities of cryo-ET in capturing the dynamic virus-host interaction, advancing our understanding of viral infection and pathogenesis.

Cryo-EM vs. Disease X

In this issue of Cell, Penzes et al. describe the use of cryo-EM to identify the cause of a mysterious disease affecting farmed superworms across the US. The study illustrates the power of ex vivo cryo-EM, which uses amplification-free samples to advance at once diagnostic, DNA packaging mechanism, and preventative measures.

Missing Wedge Completion via Unsupervised Learning with Coordinate Networks

Cryogenic electron tomography (cryoET) is a powerful tool in structural biology, enabling detailed 3D imaging of biological specimens at a resolution of nanometers. Despite its potential, cryoET faces challenges such as the missing wedge problem, which limits reconstruction quality due to incomplete data collection angles. Recently, supervised deep learning methods leveraging convolutional neural networks (CNNs) have considerably addressed this issue; however, their pretraining requirements render them susceptible to inaccuracies and artifacts, particularly when representative training data is scarce. To overcome these limitations, we introduce a proof-of-concept unsupervised learning approach using coordinate networks (CNs) that optimizes network weights directly against input projections. This eliminates the need for pretraining, reducing reconstruction runtime by 3-20× compared to supervised methods. Our in silico results show improved shape completion and reduction of missing wedge artifacts, assessed through several voxel-based image quality metrics in real space and a novel directional Fourier Shell Correlation (FSC) metric. Our study illuminates benefits and considerations of both supervised and unsupervised approaches, guiding the development of improved reconstruction strategies.

Missing Wedge Completion via Unsupervised Learning with Coordinate Networks

Cryogenic electron tomography (cryoET) is a powerful tool in structural biology, enabling detailed 3D imaging of biological specimens at a resolution of nanometers. Despite its potential, cryoET faces challenges such as the missing wedge problem, which limits reconstruction quality due to incomplete data collection angles. Recently, supervised deep learning methods leveraging convolutional neural networks (CNNs) have considerably addressed this issue; however, their pretraining requirements render them susceptible to inaccuracies and artifacts, particularly when representative training data is scarce. To overcome these limitations, we introduce a proof-of-concept unsupervised learning approach using coordinate networks (CNs) that optimizes network weights directly against input projections. This eliminates the need for pretraining, reducing reconstruction runtime by 3 - 20× compared to supervised methods. Our in silico results show improved shape completion and reduction of missing wedge artifacts, assessed through several voxel-based image quality metrics in real space and a novel directional Fourier Shell Correlation (FSC) metric. Our study illuminates benefits and considerations of both supervised and unsupervised approaches, guiding the development of improved reconstruction strategies.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) culture and sample preparation for correlative light electron microscopy

Correlative Light Electron Microscopy (CLEM) is a powerful technique to investigate the ultrastructure of specific cells and organelles at sub-cellular resolution. Transmission Electron Microscopy (TEM) is particularly useful to the field of virology, given the small size of the virion, which is below the limit of detection by light microscopy. Furthermore, viral infection results in the rearrangement of host organelles to form spatially defined compartments that facilitate the replication of viruses. With the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there has been great interest to study the viral replication complex using CLEM. In this chapter we provide an exemplary workflow describing the safe preparation and processing of cells grown on coverslips and infected with SARS-CoV-2.

Recent advances in infectious disease research using cryo-electron tomography

With the increasing spread of infectious diseases worldwide, there is an urgent need for novel strategies to combat them. Cryogenic sample electron microscopy (cryo-EM) techniques, particularly electron tomography (cryo-ET), have revolutionized the field of infectious disease research by enabling multiscale observation of biological structures in a near-native state. This review highlights the recent advances in infectious disease research using cryo-ET and discusses the potential of this structural biology technique to help discover mechanisms of infection in native environments and guiding in the right direction for future drug discovery.

The Phlebovirus Ribonucleoprotein: An Overview

In negative strand RNA viruses, ribonucleoproteins, not naked RNA, constitute the template used by the large protein endowed with polymerase activity for replicating and transcribing the viral genome. Here we give an overview of the structures and functions of the ribonucleoprotein from phleboviruses. The nucleocapsid monomer, which constitutes the basic structural unit, possesses a flexible arm allowing for a conformational switch between a closed monomeric state and the formation of a polymeric filamentous structure competent for viral RNA binding and encapsidation in the open state of N. The modes of N-N oligomerization as well as interactions with vRNA are described. Finally, recent advances in tomography open exciting perspectives for a more complete understanding of N-L interactions and the design of specific antiviral compounds.

SARS-CoV-2 nsp3 and nsp4 are minimal constituents of a pore spanning replication organelle

Coronavirus replication is associated with the remodeling of cellular membranes, resulting in the formation of double-membrane vesicles (DMVs). A DMV-spanning pore was identified as a putative portal for viral RNA. However, the exact components and the structure of the SARS-CoV-2 DMV pore remain to be determined. Here, we investigate the structure of the DMV pore by in situ cryo-electron tomography combined with subtomogram averaging. We identify non-structural protein (nsp) 3 and 4 as minimal components required for the formation of a DMV-spanning pore, which is dependent on nsp3-4 proteolytic cleavage. In addition, we show that Mac2-Mac3-DPUP-Ubl2 domains are critical for nsp3 oligomerization and crown integrity which influences membrane curvature required for biogenesis of DMVs. Altogether, SARS-CoV-2 nsp3-4 have a dual role by driving the biogenesis of replication organelles and assembly of DMV-spanning pores which we propose here to term replicopores.