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C.P. acknowledges the Biotechnology and Biological Sciences Research Council (BBSRC) (BB/S018069/1; BB/W019795/1) for funding. cwEPR data were collected at the Pliotas Laboratory (BB/S018069/1) and PELDOR data were collected at the University of St Andrews, supported by equipment funding from the Wellcome Trust (WT) (099149/Z/12/Z) and BBSRC (BB/R013780/1). CryoEM data were collected at the Astbury Biostructure Laboratory, funded by the University of Leeds and the WT (108466/Z/15/Z; 221524/Z/20/Z). J.E.H. and K.F. acknowledge funding from the Medical Research Council (MRC) (MR/P018491/1). S.F.H. is funded by the White Rose BBSRC DTP (BB/M011151/1). J.M. is funded by the WT (222373/Z/21/Z). SER holds a Royal Society Professorial Fellowship (RSRP/R1/211057). T.F.S and N.B. acknowledge funding from the German Federal Ministry of Education and Research (BMBF, via grant GBi2S and German Centrefor Infection Research (DZIF) 09.918) The Β-barrel assembly machinery (BAM complex) is essential for outer membrane protein (OMP) folding in Gram-negative bacteria, and represents a promising antimicrobial target. Several conformational states of BAM have been reported, but all have been obtained under conditions which lack the unique features and complexity of the outer membrane (OM). Here, we use Pulsed Electron-Electron Double Resonance (PELDOR, or DEER) spectroscopy distance measurements to interrogate the conformational ensemble of the BAM complex in E. coli cells. We show that BAM adopts a broad ensemble of conformations in the OM, while in the presence of the antibiotic darobactin B (DAR-B), BAM's conformational equilibrium shifts to a restricted ensemble consistent with the lateral closed state. Our in-cell PELDOR findings are supported by new cryoEM structures of BAM in the presence and absence of DAR-B. This work demonstrates the utility of PELDOR to map conformational changes in BAM within its native cellular environment. Publisher PDF

Biological membranes consist of two leaflets of phospholipid molecules that form a bilayer, and typically the composition of lipids in each leaflet is distinct. This asymmetry is created and maintainedin vivoby dedicated biochemical pathways, but difficulties in creating stable asymmetric membranesin vitrohave restricted our understanding of how bilayer asymmetry modulates the folding, stability and function of membrane proteins. Here we employ cyclodextrin mediated lipid exchange to generate asymmetric liposomes and use these to characterize the stability and folding kinetics of two bacterial outer membrane proteins (OMPs). We show that excess negative charge in the outer leaflet of a liposome impedes the membrane insertion and folding of OmpA and BamA, while excess negative charge in the inner leaflet accelerates their folding, relative to symmetric liposomes with the same membrane composition. Three positively charged residues in the extracellular loops of OmpA that play a critical role in folding are identified using molecular dynamics simulations and mutational analyses. Bioinformatic analysis was then used to identify a conserved patch of positive residues in the extracellular loops of OMPs generally that lies 6-8Å from the membrane surface. Together, the the results rationalise the well known ‘positive outside’ rule for OMP sequences and suggest new insights into the mechanisms that drive OMP folding and assemblyin vitroandin vivo.

Oligomeric species populated during α-synuclein aggregation are considered key drivers of neurodegeneration in Parkinson’s disease. However, their structure and the molecular determinants driving their conversion to fibrils remain elusive. In this work, we determined the symmetry and architecture of α-synuclein oligomers, dissecting the conformational properties of individual chains within these toxic assemblies. We demonstrate that the NAC domain is insufficient to promote oligomer to fibril conversion; instead, this transition is controlled by a short α-synuclein N-terminal motif. A missense mutation causing early-onset Parkinson’s disease remodels this N-terminal region conformation, which results in a population of long-lived oligomers less susceptible to disaggregation by the human Hsp70 machinery. Our results provide a structural understanding of oligomer to amyloid conversion and identify targets for therapeutic intervention.One sentence summaryα-Synuclein oligomers are symmetric and well-organized particles with a short N-terminal region controlling fibril conversion.

Amyloid plaques composed of extracellular focal deposition of Aβ fibrils are a hallmark of Alzheimer’s disease (AD). Cryo-EM structures of Aβ fibrils purified from human AD brain tissue post mortem have recently been determined. However, the molecular architecture of amyloid plaques in the context of fresh, unfixed mammalian brain tissue is unknown. Here, using cryogenic correlated light and electron tomography we report the native,in situmolecular architecture of Aβ fibrils in the brain of a mouse model containing the Arctic familial AD mutation (AppNL-G-F) and an atomic model of Arctic Aβ fibril purified from the brains of these animals. We show that in-tissue Aβ fibrils are arranged in a lattice or in parallel bundles within a plaque, and are interdigitated by subcellular compartments, exosomes, extracellular droplets and extracellular multilamellar bodies. At the atomic level, the Arctic Aβ fibril differs significantly from earlier structures of Aβ amyloid extracted fromAppNL-Fmice models and human AD brain tissue, showing a striking effect of the Arctic mutation (E22G) on fibril structure. Cryo-electron tomography ofex vivopurified and in-tissue amyloid revealed an ensemble of additional fibrillar species, including thin protofilament-like rods and branched fibrils. Together, these results provide a structural model for the dense network architecture that characterises β-amyloid plaque pathology.

Different tauopathies are characterized by specific amyloid filament folds that are conserved between patients. Disease-specific tau filament folds probably reflect the specific pathological contexts leading to their formation including isoforms or post-translational modifications. Little is known, however, as to whether and how intrinsic conformational tendencies of the tau sequence itself contribute to its polymorphism. Using cryo-EM structure determination we find that a short amyloidogenic C-terminal peptide consisting of residues 350-362 of the tau repeat domain adopts the same polymorphic conformations in isolation as it does in the context of major disease-associated protofilament folds. Biophysical characterisation and molecular modelling show that the amyloid conformations adopted by this peptide constitute core structural motifs stabilizing distinct disease-associated tau filament folds. In accordance this segment also contributes to the efficient propagation of human AD tau seeds in tau reporter cells while it is irrelevant to heparin-induced recombinant seeds. Our findings suggest that tau 350-362 is key to the propagation of disease-associated tau polymorphs and that the conformational preferences of this segment predispose to the topological diversity observed in tau filament folds.

Nanopore systems have emerged as a leading platform for the analysis of biomolecular complexes with single-molecule resolution. The conformation of biomolecules, such as RNA, is highly dependent on the electrolyte composition, but solid-state nanopore systems often require high salt concentration to operate, precluding analysis of macromolecular conformations under physiologically relevant conditions. Here, we report the implementation of a polymer-electrolyte solid-state nanopore system based on alkali metal halide salts dissolved in 50% w/v poly(ethylene) glycol (PEG) to augment the performance of our system. We show that polymer-electrolyte bath governs the translocation dynamics of the analyte which correlates with the physical properties of the salt used in the bath. This allowed us to identify CsBr as the optimal salt to complement PEG to generate the largest signal enhancement. Harnessing the effects of the polymer-electrolyte, we probed the conformations of the Chikungunya virus (CHIKV) RNA genome fragments under physiologically relevant conditions. Our system was able to fingerprint CHIKV RNA fragments ranging from ∼300 to ∼2000 nt length and subsequently distinguish conformations between the co-transcriptionally folded and the natively refolded ∼2000 nt CHIKV RNA. We envision that the polymer-electrolyte solid-state nanopore system will further enable structural and conformational analyses of individual biomolecules under physiologically relevant conditions.

Solid-state nanopores have been widely employed in the detection of biomolecules, but low signal-to-noise ratios still represent a major obstacle to enable the discrimination of short nucleic acid and protein sequences. The addition of 50% polyethylene glycol (PEG) to the bath solution was recently demonstrated as a simple way to enhance the detection of such biomolecules translocating through a model solid-state nanopore. Here, we provide a comprehensive description of the physics describing a nanopore measurement carried out in 50% PEG that is supported by finite-element modelling and experiments. We demonstrate that the addition of PEG to the external solution introduces a strong imbalance in the transport properties of cations and anions, drastically affecting the characteristic current response of the nanopore. We further show that the strong asymmetric current response is due to a polarity-dependent ion distribution and transport at the nanopipette tip region, leading to either ion depletion or enrichment for few tens of nanometers across the aperture. Under negative potential, when double-stranded DNA molecules translocate, the depleted region (sensing region) significantly improves the sensitivity compared to systems without PEG. We then introduce a displacement of the interface between pore and external solution to simulate the mechanical interactions between analyte and PEG molecules. We found that this displacement affects the ion distribution in the sensing region, enhancing the detection current during the translocation of biomolecules.

Self-association of WT β

NMR studies and X-ray crystallography have shown that the structures of the 99-residue amyloidogenic protein β2-microglobulin (β2m) and its more aggregation-prone variant, D76N, are indistinguishable, and hence, the reason for the striking difference in their aggregation propensities remains elusive. Here, we have employed two protein footprinting methods, hydrogen-deuterium exchange (HDX) and fast photochemical oxidation of proteins (FPOP), in conjunction with ion mobility-mass spectrometry, to probe the differences in conformational dynamics of the two proteins. Using HDX-MS, a clear difference in HDX protection is observed between these two proteins in the E-F loop (residues 70-77) which contains the D76N substitution, with a significantly higher deuterium uptake being observed in the variant protein. Conversely, following FPOP-MS only minimal differences in the level of oxidation between the two proteins are observed in the E-F loop region, suggesting only modest side-chain movements in that area. Together the HDX-MS and FPOP-MS data suggest that a tangible perturbation to the hydrogen-bonding network in the E-F loop has taken place in the D76N variant and furthermore illustrate the benefit of using multiple complementary footprinting methods to address subtle, but possibly biologically important, differences between highly similar proteins.

One of the most fascinating features of amyloid fibrils is their generic cross-beta architecture that can be formed from many different and completely unrelated proteins. Nonetheless, amyloid fibrils with diverse structural and phenotypic properties can form, both in vivo and in vitro, from the same protein sequence. Here, we have exploited the power of RNA selection techniques to isolate small, structured, single-stranded RNA molecules known as aptamers that were targeted specifically to amyloid-like fibrils formed in vitro from beta(2)-microglobulin (beta(2)m), the amyloid fibril protein associated with dialysis-related amyloidosis. The aptamers bind with high affinity (apparent K(D) approximately nm) to beta(2)m fibrils with diverse morphologies generated under different conditions in vitro, as well as to amyloid fibrils isolated from tissues of dialysis-related amyloidosis patients, demonstrating that they can detect conserved epitopes between different fibrillar species of beta(2)m. Interestingly, the aptamers also recognize some other, but not all, amyloid fibrils generated in vitro or isolated from ex vivo sources. Based on these observations, we have shown that although amyloid fibrils share many common structural properties, they also have features that are unique to individual fibril types.

Chemical crosslinking-mass spectrometry (XL-MS) is a valuable technique for gaining insights into protein structure and the organization of macromolecular complexes. XL-MS data yields inter-residue restraints that can be compared with high-resolution structural data. Distances greater than the crosslinker spacer-arm can reveal lowly-populated “excited” states of proteins/protein assemblies, or crosslinks can be used as restraints to generate structural models in the absence of structural data. Despite increasing uptake of XL-MS, there are few tools to enable rapid and facile mapping of XL-MS data onto high-resolution structures or structural models. PyXlinkViewer is a user-friendly plugin for PyMOL v2 that maps intra-protein, inter-protein and dead-end crosslinks onto protein structures/models and automates the calculation of inter-residue distances for the detected crosslinks. This enables rapid visualisation of XL-MS data, assessment of whether a set of detected crosslinks is congruent with structural data, and easy production of high-quality images for publication.

Protein biopharmaceuticals are highly successful, but their utility is compromised by their propensity to aggregate during manufacture and storage. As aggregation can be triggered by non-native states, whose population is not necessarily related to thermodynamic stability, prediction of poorly-behaving biologics is difficult, and searching for sequences with desired properties is labour-intensive and time-consuming. Here we show that an assay in the periplasm of E. coli linking aggregation directly to antibiotic resistance acts as a sensor for the innate (un-accelerated) aggregation of antibody fragments. Using this assay as a directed evolution screen, we demonstrate the generation of aggregation resistant scFv sequences when reformatted as IgGs. This powerful tool can thus screen and evolve ‘manufacturable’ biopharmaceuticals early in industrial development. By comparing the mutational profiles of three different immunoglobulin scaffolds, we show the applicability of this method to investigate protein aggregation mechanisms important to both industrial manufacture and amyloid disease., Protein aggregation remains a significant challenge for manufacturing of protein biopharmaceuticals. Here, the authors demonstrate the use of directed evolution and an assay for in vivo innate protein aggregation-propensity to generate aggregation-resistant scFv fragments.

Aggregation of human α-synuclein (αSyn) is linked to Parkinson’s disease (PD) pathology. The central region of the αSyn sequence contains the non-amyloid β-component (NAC) crucial for aggregation. However, how NAC flanking regions modulate αSyn aggregation remains unclear. Using bioinformatics, mutation, and NMR we identify a 7-residue sequence, named P1 (residues 36-42), that controls αSyn aggregation. Deletion or substitution of this ‘master-controller’ prevents aggregation at pH 7.5 in vitro. At lower pH, P1 synergises with a sequence containing the PreNAC region (P2, residues 45-57) to prevent aggregation. Deleting P1 (ΔP1) or both P1 and P2 (ΔΔ) also prevents age-dependent αSyn aggregation and toxicity in C. elegans models and prevents αSyn-mediated vesicle fusion by altering the conformational properties of the protein when lipid-bound. The results highlight the importance of a master-controller sequence motif that controls both αSyn aggregation and function- a region that could be targeted to prevent aggregation in disease.

How do bacteria assemble transmembrane β-barrels into their outer membrane in the absence of an energy source? New structures and experiments from Doyle et al. suggest that the β-barrel assembly machinery (BAM) co-opts the power of membrane elastic tension to help complete the folding of β-barrel outer membrane proteins.

Although critically important for protein function, post-translational modifications are complex and notoriously difficult to study. Now, the effects of O-GlcNAcylation on chaperone activity and the accompanying inhibition of amyloid fibril formation have been revealed, potentially yielding new routes to combat neurodegeneration.

Nanopore systems have emerged as a leading platform for the analysis of biomolecular complexes with single molecule resolution. However, the analysis of several analytes like short nucleic acids or proteins with nanopores represents a sensitivity challenge, because their translocation lead to small signals difficult to distinguish from the noise. Here, we report a simple method to enhance the signal to noise ratio in nanopore experiments by a simple modification of the solution used in nanopore sensing. The addition of poly-ethylene glycol (PEG) and the careful selection of the supporting electrolyte leads to large signal enhancement. We observed that the translocation dynamics are in good agreement with an established method that uses the lattice energy of an electrolyte to approximate the affinity of an ion to PEG. We identified CsBr as the optimal supporting electrolyte to complement PEG to enable the analysis of dsDNA at 500 kHz bandwidth, and the detection of dsDNA as short as 75 bp.

Alpha-synuclein (αSyn) is a protein involved in neurodegenerative disorders including Parkinson's disease. Amyloid formation of αSyn can be modulated by the 'P1 region' (residues 36-42). Here, mutational studies of P1 reveal that Y39A and S42A extend the lag-phase of αSyn amyloid formation in vitro and rescue amyloid-associated cytotoxicity in C. elegans. Additionally, L38I αSyn forms amyloid fibrils more rapidly than WT, L38A has no effect, but L38M does not form amyloid fibrils in vitro and protects from proteotoxicity. Swapping the sequence of the two residues that differ in the P1 region of the paralogue γSyn to those of αSyn did not enhance fibril formation for γSyn. Peptide binding experiments using NMR showed that P1 synergises with residues in the NAC and C-terminal regions to initiate aggregation. The remarkable specificity of the interactions that control αSyn amyloid formation, identifies this region as a potential target for therapeutics, despite their weak and transient nature.

Aberrant phase separation of globular proteins is associated with many diseases. Here, we use a model protein system to understand how the unfolded states of globular proteins drive phase separation and the formation of unfolded protein deposits (UPODs). We find that for UPODs to form, the concentrations of unfolded molecules must be above a threshold value. Additionally, unfolded molecules must possess appropriate sequence grammars to drive phase separation. While UPODs recruit molecular chaperones, their compositional profiles are also influenced by synergistic physicochemical interactions governed by the sequence grammars of unfolded proteins and cellular proteins. Overall, the driving forces for phase separation and the compositional profiles of UPODs are governed by the sequence grammars of unfolded proteins. Our studies highlight the need for uncovering the sequence grammars of unfolded proteins that drive UPOD formation and cause gain-of-function interactions whereby proteins are aberrantly recruited into UPODs.

Protein homeostasis involves regulation of the concentrations of unfolded states of globular proteins. Dysregulation can cause phase separation leading to protein-rich deposits. Here, we uncover the sequence-grammar that influences the triad of folding, binding, and phase equilibria of unfolded proteins in cells. We find that the interactions that drive deposit formation of ALS-associated superoxide dismutase 1 mutations are akin to those that drive phase separation and deposit formation in variants of a model protein, barnase. We examined a set of barnase variants to uncover the molecular interactions that drive phase separation of unfolded proteins and formation of unfolded protein deposits (UPODs). The formation of UPODs requires protein destabilization, to increase the concentration of unfolded states, and a requisite sequence grammar to enable cohesive interactions among unfolded proteins. We further find that molecular chaperones, Hsp40 and Hsp70, destabilize UPODs by binding preferentially to and processing unfolded proteins in the dilute phase. HighlightsO_LIUnfolded states of globular proteins undergo aggregation-mediated phase separation to form unfolded protein deposits (UPODs) in cells. C_LIO_LIThe threshold concentration of unfolded proteins required to drive phase separation is governed by a combination of protein stability and the requisite grammar of cohesive motifs known as stickers that provide cohesive intermolecular interactions. C_LIO_LIThe sequence grammar that contributes to phase separation of unfolded proteins shares features with those of proteins that drive the formation of functional biomolecular condensates. C_LIO_LIMolecular chaperones regulate the concentrations of free unfolded proteins in cells by binding preferentially to unfolded states in dilute phases thereby destabilizing UPOD formation mainly via binding-mediated polyphasic linkage. C_LI