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Tomographic reconstruction of frozen-hydrated specimens followed by extraction and averaging of sub-tomograms has successfully been used to determine the structure of macromolecules in their native environment at resolutions that are high enough to reveal molecular level interactions. The low throughput characteristic of tomographic data acquisition combined with the complex data-analysis pipeline that is required to obtain high-resolution maps, however, has limited the applicability of this technique to favorable samples or to resolutions that are too low to provide useful mechanistic information. Recently, beam image-shift electron cryo-tomography (BISECT), a strategy to significantly accelerate the acquisition of tilt series without sacrificing image quality, was introduced. The ability to produce thousands of high-quality tilt series during a single microscope session, however, introduces significant bottlenecks in the downstream data analysis, which has so far relied on specialized pipelines. Here, recent advances in accurate estimation of the contrast transfer function and self-tuning exposure-weighting routines that contribute to improving the resolution and streamlining the structure-determination process using sub-volume averaging are reviewed. Ultimately, the combination of automated data-driven techniques for image analysis together with high-throughput strategies for tilt-series acquisition will pave the way for tomography to become the technique of choice for in situ structure determination.

Invasive fungal diseases are a major threat to human health, resulting in more than 1.5 million deaths worldwide each year. Yet the arsenal of antifungal therapeutics remains limited and is in dire need of novel drugs that target additional fungal-specific biosynthetic pathways. One such pathway involves the biosynthesis of trehalose. Trehalose is a non-reducing disaccharide composed of two molecules of glucose that is required for pathogenic fungi, includingCandida albicansandCryptococcus neoformans, to survive in their human hosts. Trehalose biosynthesis is a two-step process in fungal pathogens. Trehalose-6-phosphate synthase (Tps1) converts UDP-glucose and glucose-6-phosphate to trehalose-6-phosphate (T6P). Subsequently, trehalose-6-phosphate phosphatase (Tps2) converts T6P to trehalose. The trehalose biosynthesis pathway has been identified as a top candidate for novel antifungal development based on quality, occurrence, specificity, and assay development. However, there are currently no known antifungal agents that target this pathway. As initial steps to develop Tps1 fromCryptococcus neoformans(CnTps1) as a drug target, we report the structures of full-lengthapoCnTps1 and CnTps1 in complex with uridine diphosphate (UDP) and glucose-6-phosphate (G6P). Both CnTps1 structures are tetramers and display D2 (222) molecular symmetry. Comparison of these two structures reveals significant movement towards the catalytic pocket by the N-terminus upon ligand binding and identifies key residues required for substrate-binding, which are conserved amongst other Tps1 enzymes, as well as residues that stabilize the tetramer. Intriguingly, an intrinsically disordered domain (IDD), encompassing residues M209 to I300, which is conserved amongst Cryptococcal species and closely related Basidiomycetes, extends from each subunit of the tetramer into the “solvent”but is not visible in the density maps. Although, activity assays revealed that the highly conserved IDD is not required for catalysisin vitro, we hypothesize that the IDD is required forC. neoformansTps1-dependent thermotolerance and osmotic stress survival. Characterization of the substrate specificity of CnTps1 revealed that UDP-galactose, an epimer of UDP-glucose, is a very poor substrate and inhibitor of the enzyme and highlights the exquisite substrate specificity of Tps1.In toto, these studies expand our knowledge of trehalose biosynthesis inCryptococcusand highlight the potential of developing antifungal therapeutics that disrupt the synthesis of this disaccharide or the formation of a functional tetramer and the use of cryo-EM in the structural characterization of CnTps1-ligand/drug complexes.

Cryo-electron tomography (CET) combined with sub-volume averaging (SVA), is currently the only imaging technique capable of determining the structure of proteins imaged inside cells at molecular resolution. To obtain high-resolution reconstructions, sub-volumes containing randomly distributed copies of the protein of interest need be identified, extracted and subjected to SVA, making accurate particle detection a critical step in the CET processing pipeline. Classical template-based methods have high false-positive rates due to the very low signal-to-noise ratios (SNR) typical of CET volumes, while more recent neural-network based detection algorithms require extensive labeling, are very slow to train and can take days to run. To address these issues, we propose a novel particle detection framework that uses positive-unlabeled learning and exploits the unique properties of 3D tomograms to improve detection performance. Our end-to-end framework is able to identify particles within minutes when trained using a single partially labeled tomogram. We conducted extensive validation experiments on two challenging CET datasets representing different experimental conditions, and observed more than 10% improvement in mAP and F1 scores compared to existing particle picking methods used in CET. Ultimately, the proposed framework will facilitate the structural analysis of challenging biomedical targets imaged within the native environment of cells.

Antibody affinity maturation enables adaptive immune responses to a wide range of pathogens. In some individuals broadly neutralizing antibodies develop to recognize rapidly mutating pathogens with extensive sequence diversity. Vaccine design for pathogens such as HIV-1 and influenza have therefore focused on recapitulating the natural affinity maturation process. Here, we determined structures of antibodies in complex with HIV-1 Envelope for all observed members and ancestral states of a broadly neutralizing HIV-1 antibody clonal B cell lineage. These structures track the development of neutralization breadth from the unmutated common ancestor and define affinity maturation at high spatial resolution. By elucidating contacts mediated by key mutations at different stages of antibody development we have identified sites on the epitope-paratope interface that are the focus of affinity optimization. Thus, our results identify bottlenecks on the path to natural affinity maturation and reveal solutions for these that will inform immunogen design aimed at eliciting a broadly neutralizing immune response by vaccination.SummarySomatic hypermutation drives affinity maturation of germline-encoded antibodies leading to the development of their pathogen neutralization function1. Rational vaccine design efforts that aim to recapitulate affinity maturation rely on information from antibodies elicited and matured during natural infection. High-throughput next generation sequencing and methods for tracing antibody development have allowed close monitoring of the antibody maturation process. Since maturation involves both affinity-enhancing and affinity-independent diversification, the precise effect of each observed mutation, their role in enhancing affinity to antigens, and the order in which the mutations accumulated are often unclear. These gaps in knowledge most acutely hinder efforts directed at difficult targets such as pan-HIV, pan-Influenza, and pan-Coronavirus vaccines. In HIV-1 infection, antibody maturation over several years is required to achieve neutralization breadth. Here, we determined structures of antibodies in complex with HIV-1 Envelope trimers for all observed members and ancestral states of a broadly neutralizing HIV-1 antibody clone to examine affinity maturation as neutralization breadth developed from the unmutated common ancestor. Structural determination of epitope-paratope interfaces revealed details of the contacts evolving over a timescale of several years. Structures along different branches of the clonal lineage elucidated differences in the branch that led to broad neutralization versus off-track paths that culminated in sub-optimal neutralization breadth. We further determined structures of the evolving Envelope revealing details of the virus-antibody co-evolution through visualization of how the virus constructs barriers to evade antibody-mediated neutralization and the mechanisms by which the developing antibody clone circumvents these barriers. Together, our structures provide a detailed time-resolved imagery of the affinity maturation process through atomic level descriptions of virus-antibody co-evolution leading to broad HIV neutralization. While the findings from our studies have direct relevance to HIV-1, the principles of affinity optimization and breadth development elucidated in our study should have broad relevance to other pathogens.

Lewy body dementias are pathologically defined by the deposition of α-synuclein fibrils into inclusions throughout the brain. Cerebrospinal fluid(CSF) in disease harbors circulating α-synuclein-fibril seeds, and parental α-synuclein fibrils can template core structure into amplified fibrils. Using cryo-electron microscopy, we identify six novel α-synuclein fibril assemblies amplified from ten CSF samples (3.8Å to 2.9Å nominal resolutions). Fibrils are classified based on two types of filament interaction, two types of β-sheet stacking, and two types of hydrophobic pocket. CSF-amplified fibril products have one, two, or three distinct assemblies each. Six of ten samples share a common fibril assembly. Within this classification, the fibrils have distinct profiles in amyloid dye binding, and dramatically different potencies in both seeding new inclusions in neurons and evoked microglial pro-inflammatory responses. However, no single structural feature predicts functional phenotypes. Our results highlight CSF as a valuable resource to identify novel α-synuclein assemblies potentially important in disease.

Propelled by improvements in hardware for data collection and processing, single particle cryo-electron microscopy has rapidly gained relevance in structural biology. Yet, finding the conditions to stabilize a macromolecular target for imaging remains the most critical barrier to determining its structure. Attaining the optimal specimen requires the evaluation of multiple grids in a microscope as conditions are varied. While automation has significantly increased the speed of data collection, optimization is still carried out manually. This laborious process which is highly dependent on subjective assessments, inefficient and prone to error, often determines the success of a project. Here, we present SmartScope, the first framework to streamline, standardize, and automate specimen evaluation in cryo-electron microscopy. SmartScope employs deep-learning-based object detection to identify and classify features suitable for imaging, allowing it to perform thorough specimen screening in a fully automated manner. A web interface provides remote control over the automated operation of the microscope in real time and access to images and annotation tools. Manual annotations can be used to re-train the feature recognition models, leading to improvements in performance. Our automated tool for systematic evaluation of specimens streamlines structure determination and lowers the barrier of adoption for cryo-electron microscopy.

NPR1 is a master regulator of the defence transcriptome induced by the plant immune signal salicylic acid1(–)4. Despite the important role of NPR1 in plant immunity5(–)7, understanding of its regulatory mechanisms has been hindered by a lack of structural information. Here we report cryo-electron microscopy and crystal structures of Arabidopsis NPR1 and its complex with the transcription factor TGA3. Cryo-electron microscopy analysis reveals that NPR1 is a bird-shaped homodimer comprising a central Broad-complex, Tramtrack and Bric-à-brac (BTB) domain, a BTB and carboxyterminal Kelch helix bundle, four ankyrin repeats and a disordered salicylic-acid-binding domain. Crystal structure analysis reveals a unique zinc-finger motif in BTB for interacting with ankyrin repeats and mediating NPR1 oligomerization. We found that, after stimulation, salicylic-acid-induced folding and docking of the salicylic-acid-binding domain onto ankyrin repeats is required for the transcriptional cofactor activity of NPR1, providing a structural explanation for a direct role of salicylic acid in regulating NPR1-dependent gene expression. Moreover, our structure of the TGA3(2)–NPR1(2)–TGA3(2) complex, DNA-binding assay and genetic data show that dimeric NPR1 activates transcription by bridging two fatty-acid-bound TGA3 dimers to form an enhanceosome. The stepwise assembly of the NPR1–TGA complex suggests possible hetero-oligomeric complex formation with other transcription factors, revealing how NPR1 reprograms the defence transcriptome.

Protein ubiquitination is an essential process that rapidly regulates protein synthesis, function, and fate in dynamic environments. Within its non-proteolytic functions, we showed that K63-linked polyubiquitinated conjugates heavily accumulate in yeast cells exposed to oxidative stress, stalling ribosomes at elongation. K63-ubiquitinated conjugates accumulate mostly because of redox inhibition of the deubiquitinating enzyme Ubp2; however, the role and regulation of ubiquitin-conjugating enzymes (E2) in this pathway remained unclear. Here, we show that the E2 Rad6 associates and modifies ribosomes during stress. We further demonstrate that Rad6 and its human homolog UBE2A are redox regulated by forming a reversible disulfide with the E1 ubiquitin-activating enzyme (Uba1). This redox regulation is part of a negative feedback regulation, which controls the levels of K63 ubiquitination under stress. Finally, we show that Rad6 activity is necessary to regulate translation, antioxidant defense, and adaptation to stress, thus providing an additional physiological role for this multifunctional enzyme.

Protein ubiquitination is an essential process that rapidly regulates protein synthesis, function, and fate in dynamic environments. Among its non-proteolytic functions, K63 ubiquitin accumulates in yeast cells exposed to oxidative stress, stalling ribosomes at elongation. K63 ubiquitin conjugates accumulate because of redox inhibition of the deubiquitinating enzyme Ubp2, however, the role and regulation of ubiquitin conjugating enzymes in this pathway remained unclear. Here we found that the E2 Rad6 binds and modifies elongating ribosomes during oxidative stress. We elucidated a mechanism by which Rad6 and its human homolog UBE2A are redox-regulated by forming reversible disulfides with the E1 activating enzyme, Uba1. We further showed that Rad6 activity is necessary to regulate translation, antioxidant defense, and adaptation to stress. Finally, we showed that Rad6 is required to induce phosphorylation of the translation initiation factor eIF2α, providing a novel link for K63 ubiquitin, elongation stalling, and the integrated stress response.

Tomographic reconstruction of cryopreserved specimens imaged in an electron microscope followed by extraction and averaging of sub-volumes has been successfully used to derive atomic models of macromolecules in their biological environment. Eliminating biochemical isolation steps required by other techniques, this method opens up the cell to in-situ structural studies. However, the need to compensate for errors in targeting introduced during mechanical navigation of the specimen significantly slows down tomographic data collection thus limiting its practical value. Here, we introduce protocols for tilt-series acquisition and processing that accelerate data collection speed by up to an order of magnitude and improve map resolution compared to existing approaches. We achieve this by using beam-image shift to multiply the number of areas imaged at each stage position, by integrating geometrical constraints during imaging to achieve high precision targeting, and by performing per-tilt astigmatic CTF estimation and data-driven exposure weighting to improve final map resolution. We validated our beam image-shift electron cryo-tomography (BISECT) approach by determining the structure of a low molecular weight target (~300 kDa) at 3.6 Å resolution where density for individual side chains is clearly resolved., Tomographic reconstructions of cryopreserved specimens enable in-situ structural studies. Here, the authors present the beam image-shift electron cryo-tomography (BISECT) approach that accelerates data collection speed and improves the map resolution compared to earlier approaches and present the in vitro structure of a 300 kDa protein complex that was solved at 3.6 Å resolution as a test case.

SummaryThe HIV-1 envelope (Env) is comprised by mass of over 50% glycans. A goal of HIV-1 vaccine development is the induction of Env glycan-reactive broadly neutralizing antibodies (bnAbs). The 2G12 bnAb recognizes an Env glycan cluster using a unique variable heavy (VH) domain-swapped conformation that results in fragment antigen-binding (Fab) dimerization. Here we describe Fab-dimerized glycan (FDG)-reactive antibodies without VH-swapped domains from simian-human immunodeficiency virus (SHIV)-infected macaques that neutralized heterologous HIV-1 isolates. FDG precursors were boosted by vaccination in macaques, and were present in HIV-1-naïve humans with an average estimated frequency of one per 340,000 B cells. These data demonstrate frequent HIV-1 Env glycan-reactive bnAb B cell precursors in macaques and humans and reveal a novel strategy for their induction by vaccination.HighlightsDiscovery of Fab-dimerized HIV-1 glycan-reactive antibodies with a non-domain-swapped architectureFab-dimerized antibodies neutralize heterologous HIV-1 isolates.Antibodies with this architecture can be elicited by vaccination in macaques.Fab-dimerized antibodies are found in HIV-1 naïve humans.