Aggregation-prone States Research Articles

Predictive Model Building for Aggregation Kinetics Based on Molecular Dynamics Simulations of an Antibody Fragment.

Computational methods including machine learning and molecular dynamics simulations have strong potential to characterize, understand, and ultimately predict the properties of proteins relevant to their stability and function as therapeutics. Such methods would streamline the development pathway by minimizing the current experimental testing required for many protein variants and formulations. The molecular understanding of thermostability and aggregation propensity has advanced significantly along with predictive algorithms based on the sequence-level or structural-level information on a protein. However, these approaches focus largely on a comparison of protein sequence variations to correlate the properties of proteins to their stability, solubility, and aggregation propensity. For therapeutic protein development, it is of equal importance to take into account the impact of the formulation conditions to elucidate and predict the stability of the antibody drugs. At the macroscopic level, changing temperature, pH, ionic strength, and the addition of excipients can significantly alter the kinetics of protein aggregation. The mechanisms controlling aggregation kinetics have been traced back to a combination of molecular features, including conformational stability, partial unfolding to aggregation-prone states, and the colloidal stability governed by surface charges and hydrophobicity. However, very little has been done to evaluate these features in the context of protein dynamics in different formulations. In this work, we have combined a range of molecular features calculated from the Fab A33 protein sequence and molecular dynamics simulations. Using the power of advanced, yet interpretable, statistical tools, it has been possible to uncover greater insights into the mechanisms behind protein stability, validating previous findings, and also develop models that can predict the aggregation kinetics within a range of 49 different solution conditions.

Effect of flavonoids on the destabilization of α-synuclein fibrils and their conversion to amorphous aggregate: A molecular dynamics simulation and experimental study

The second most prevalent neurodegenerative disease, Parkinson's disease (PD), is caused by the accumulation and deposition of fibrillar aggregates of the α-Syn into the Lewy bodies. To create a potent pharmacological candidate to destabilize the preformed α-Syn fibril, it is important to understand the precise molecular mechanism underlying the destabilization of the α-Syn fibril. Through molecular dynamics simulations and experiments, we have examined the molecular mechanisms causing the destabilization and suppression of a newly discovered α-Syn fibril with a Greek-key-like shape and an aggregation prone state (APS) of α-Syn in the presence and absence of various Flvs. According to MD simulation and experimental evidence, morin, quercetin, and myricetin are the Flvs, most capable of destabilizing the fibrils and converting them into amorphous aggregates. Compared to galangin and kaempferol, they have more hydroxyl groups and form more hydrogen bonds with fibrils.The processes by which morin and myricetin prevent new fibril production from APS and destabilize the fibrils are different. According to linear interaction energy analysis, van der Waals interaction predominates with morin, and electrostatic interaction dominates with myricetin. Our MD simulation and experimental findings provide mechanistic insights into how Flvs destabilize α-Syn fibrils and change their morphology, opening the door to developing structure-based drugs for treating Parkinson's disease.

Conformational Fluctuations in β2-Microglubulin Using Markov State Modeling and Molecular Dynamics.

Conformational dynamics in proteins can give rise to aggregation prone states during folding, and these kinetically stable states could form oligomers and aggregates. In this study, we investigate the intermediate states and near-folded states of β2-microglobulin and their physico-chemical properties using molecular dynamics and Markov state modeling. Analysis of hundreds of microseconds simulation show the importance of the edge strands in the misfolded states that give rise to a high exposure of hydrophobic residues in the core of the protein that could initiate oligomerization and aggregate formation. Our study sheds light on the first step of aggregation of β2m monomers and gave a better picture of the landscape of protein misfolding and aggregation.

Mechanistic insights into monomer level prevention of amyloid aggregation of lysozyme by glycyrrhizic acid

As the primary bioactive compound of glycyrrhiza rhizome, the triterpene glycoside conjugate Glycyrrhizic acid (GA) has demonstrated neuroprotective effects in vivo. This study evaluates the effectiveness of GA as an inhibitor of GuHCl-induced amyloid aggregation of hen egg white lysozyme (HEWL). Fibril formation as measured by Thioflavin-T fluorescence, 900 light scattering, and 8-Anilinonaphthalene-1-sulfonic acid (ANS) fluorescence illustrated ∼90 % prevention of fibrils at [GA]/[HEWL] ≥2:1. Images of Transmission electron microscopy evidence for the absence of any fibril or amorphous aggregation products. The spectral characteristics of soluble HEWL were in close resemblance to unfolded monomer. Computational and fluorescence investigations performed to analyse GA-HEWL interactions demonstrated slightly higher affinity of GA to unfolded HEWL and aggregation-prone regions. The likely mechanism of monomer level aggregation prevention by GA as dermined by computational, stability, and ANS experiments illustrated that GA modulated the compactness, solvent-accessible surface, and solvent-exposed hydrophobic surfaces of aggregation-prone state of HEWL. Our findings corroborate GA as an effective inhibitor of HEWL amyloid formation. To our knowledge, GA interaction-induced inhibition of aggregation-prone states has not been previously discussed. GA's modulation of aggregation-prone states of disease-related proteins will successfully develop GA as an amyloid inhibitor for clinical trials of amyloidosis and neurodegenerative illnesses.

Cross-Linking Mass Spectrometry Analysis of Metastable Compact Structures in Intrinsically Disordered Proteins.

Protein assembly into beta-sheet-rich amyloids is a common phenomenon in neurodegenerative diseases including Alzheimer's (AD) and Parkinson's (PD). The proteins implicated in amyloid deposition are often intrinsically disordered proteins (IDPs) and are characterized by not folding into a defined globular conformation. The amyloidogenic properties of IDPs are determined by the presence of short sequence elements, referred to as amyloid motifs, that drive ordered aggregation (Thompson MJ, Sievers SA, Karanicolas J et al. Proc Natl Acad Sci USA 103(11):4074-8, 2006; Goldschmidt L, Teng PK, Riek R et al. Proc Natl Acad Sci USA 107(8):3487-92, 2010]. The microtubule-associated protein tau adopts amyloid assemblies in over 20 different diseases commonly referred to as tauopathies. However, native tau is aggregation-resistant despite encoding at least three amyloid motifs (Chen D, Drombosky KW, Hou Z et al. Nat Commun 10(1):2493, 2019). Recent cryogenic electron microscopy (cryo-EM) structures of tau amyloid fibrils isolated from patient brains showed the involvement of amyloid motifs in the fibril core (Fitzpatrick AWP, Falcon B, He S et al. Nature 547(7662):185-90, 2017; Falcon B, Zhang W, Murzin AG et al. Nature 561(7721):137-40, 2018; Zhang W, Tarutani A, Newell KL et al. Nature 580(7802):283-7, 2020). How does tau change from an aggregation-resistant state to an aggregation-prone state? Consistent with the fibril structures, we hypothesize that tau must change conformation to expose the amyloid motifs that allow self-association into beta-sheet-rich aggregates. This would suggest that the amyloid motifs are likely buried in natively folded tau to prevent self-assembly. We developed an approach that couples cross-linking mass spectrometry (XL-MS) with temperature denaturation to probe the loss of contacts as a proxy to measure protein unfolding with sequence resolution. Using thismethod, we demonstrated that disease-associated mutations in tau located near an amyloid motif disrupt the protective local structure, promote amyloid motif exposure, and thus lead to aggregation (Chen D, Drombosky KW, Hou Z et al. Nat Commun 10(1):2493, 2019). In this chapter, we describe the detailed protocol for this approach. We anticipate that our protocol can be generalized to other IDPs and will help discover critical structural elements to better understand important biological questions including protein aggregation.

PH Induced Switch in the Conformational Ensemble of Intrinsically Disordered Protein Prothymosin-α and Its Implications for Amyloid Fibril Formation.

Aggregation of intrinsically disordered proteins (IDPs) can lead to neurodegenerative diseases. Although there is experimental evidence that acidic pH promotes IDP monomer compaction leading to aggregation, the general mechanism is unclear. We studied the pH effect on the conformational ensemble of prothymosin-α (proTα), which is involved in multiple essential functions, and probed its role in aggregation using computer simulations. We show that compaction in the proTα dimension at low pH is due to the protein's collapse in the intermediate region (E41-D80) rich in glutamic acid residues, enhancing its β-sheet content. We observed by performing dimer simulations that the conformations with high β-sheet content could act as aggregation-prone (N*) states and nucleate the aggregation process. The simulations initiated using N* states form dimers within a microsecond time scale, whereas the non-N* states do not form dimers within this time scale. This study contributes to understanding the general principles of pH-induced IDP aggregation.

NMR Reveals Functionally Relevant Thermally Induced Structural Changes within the Native Ensemble of G-CSF.

Structure–function relationships in proteins refer to a trade-off between stability and bioactivity, molded by evolution of the molecule. Identifying which protein amino acid residues jeopardize global or local stability for the benefit of bioactivity would reveal residues pivotal to this structure–function trade-off. Here, we use 15N–1H heteronuclear single quantum coherence (HSQC) nuclear magnetic resonance (NMR) spectroscopy to probe the microenvironment and dynamics of residues in granulocyte colony-stimulating factor (G-CSF) through thermal perturbation. From this analysis, we identified four residues (G4, A6, T133, and Q134) that we classed as significant to global stability, given that they all experienced large environmental and dynamic changes and were closely correlated to each other in their NMR characteristics. Additionally, we observe that roughly four structural clusters are subject to localized conformational changes or partial unfolding prior to global unfolding at higher temperature. Combining NMR observables with structure relaxation methods reveals that these structural clusters concentrate around loop AB (binding site III inclusive). This loop has been previously implicated in conformational changes that result in an aggregation prone state of G-CSF. Residues H43, V48, and S63 appear to be pivotal to an opening motion of loop AB, a change that is possibly also important for function. Hence, we present here an approach to profiling residues in order to highlight their potential roles in the two vital characteristics of proteins: stability and bioactivity.

Designer D-peptides targeting the N-terminal region of α-synuclein to prevent parkinsonian-associated fibrilization and cytotoxicity

The deposition of α-synuclein (αS) aggregates in the gut and the brain is ever present in cases of Parkinson's disease. While the central non-amyloidogenic-component (NAC) region of αS plays a critical role in fibrilization, recent studies have identified a specific sequence from within the N-terminal region (NTR, residues 36–42) as a key modulator of αS fibrilization. Due to the lack of effective therapeutics which specifically target αS aggregates, we have developed a strategy to prevent the aggregation and subsequent toxicity attributed to αS fibrilization utilizing NTR targeting peptides. In this study, L- and D-isoforms of a hexa- (VAQKTV-Aib, 77–82 NAC) and heptapeptide (GVLYVGS-Aib, 36–42 NTR) containing a self-recognition component unique to αS, as well as a C-terminal disruption element, were synthesized to target primary sequence regions of αS that modulate fibrilization. The D-peptide that targets the NTR (NTR-TP-D) was shown by ThT fluorescence assays and TEM to be the most effective at preventing fibril formation and elongation, as well as increasing the abundance of soluble monomeric αS. In addition, NTR-TP-D alters the conformation of destabilised monomers into a less aggregation-prone state and reduces the hydrophobicity of αS fibrils via fibril remodelling. Furthermore, both NTR-TP isoforms alleviate the cytotoxic effects of αS aggregates in both Neuro-2a and Caco-2 cells. Together, this study highlights how targeting the NTR of αS using D-isoform peptide inhibitors may effectively combat the deleterious effects of αS fibrilization and paves the way for future drug design to utilise such an approach to treat Parkinson's disease.

Global Structure of the Intrinsically Disordered Protein Tau Emerges from Its Local Structure.

The paradigmatic disordered protein tau plays an important role in neuronal function and neurodegenerative diseases. To disentangle the factors controlling the balance between functional and disease-associated conformational states, we build a structural ensemble of the tau K18 fragment containing the four pseudorepeat domains involved in both microtubule binding and amyloid fibril formation. We assemble 129-residue-long tau K18 chains with atomic detail from an extensive fragment library constructed with molecular dynamics simulations. We introduce a reweighted hierarchical chain growth (RHCG) algorithm that integrates experimental data reporting on the local structure into the assembly process in a systematic manner. By combining Bayesian ensemble refinement with importance sampling, we obtain well-defined ensembles and overcome the problem of exponentially varying weights in the integrative modeling of long-chain polymeric molecules. The resulting tau K18 ensembles capture nuclear magnetic resonance (NMR) chemical shift and J-coupling measurements. Without further fitting, we achieve very good agreement with measurements of NMR residual dipolar couplings. The good agreement with experimental measures of global structure such as single-molecule Förster resonance energy transfer (FRET) efficiencies is improved further by ensemble refinement. By comparing wild-type and mutant ensembles, we show that pathogenic single-point P301L, P301S, and P301T mutations shift the population from the turn-like conformations of the functional microtubule-bound state to the extended conformations of disease-associated tau fibrils. RHCG thus provides us with an atomically detailed view of the population equilibrium between functional and aggregation-prone states of tau K18, and demonstrates that global structural characteristics of this intrinsically disordered protein emerge from its local structure.

Simulations on the dual effects of flavonoids as suppressors of A\u03b242 fibrillogenesis and destabilizers of mature fibrils

Structural studies of the aggregation inhibition of the amyloid-β peptide (Aβ) by different natural compounds are of the utmost importance due to their great potential as neuroprotective and therapeutic agents for Alzheimer’s disease. We provided the simulation of molecular dynamics for two different states of Aβ42, including “monomeric aggregation-prone state (APS)” and “U-shaped pentamers of amyloidogenic protofilament intermediates” in the absence and presence of polyphenolic flavonoids (Flvs, myricetin and morin) in order to verify the possible mechanism of Flvs fibrillogenesis suppression. Data showed that Flvs directly bind into Aβ42 species in both states of “monomeric APS β-sheets” and “pentameric amyloidogenic intermediates”. Binding of Flvs with amyloidogenic protofilament intermediates caused the attenuation of some inter-chains H-bonds, salt bridges, van der Waals and interpeptide interaction energies without interfering with their secondary β-sheets. Therefore, Flvs redirect oligomeric amyloidogenic intermediates into unstructured aggregates by significant disruption of the "steric zipper" motif of fibrils—pairs of self-complementary β-sheets—without changing the amount of β-sheets. It is while Flvs completely destruct the disadvantageous secondary β-sheets of monomeric APS conformers by converting them into coil/helix structures. It means that Flvs suppress the fibrillogenesis process of the monomeric APS structures by converting their β-sheets into proper soluble coil/helices structures. The different actions of Flvs in contact with two different states of Aβ conformers are related to high interaction tendency of Flvs with additional H-bonds for monomeric APS β-sheet, rather than oligomeric protofilaments. Linear interaction energy (LIE) analysis confirmed the strong binding of monomeric Aβ-Flvs with more negative ∆Gbinding, rather than oligomeric Aβ-Flvs system. Therefore, atomic scale computational evaluation of Flvs actions demonstrated different dual functions of Flvs, concluded from the application of two different monomeric and pentameric Aβ42 systems. The distinct dual functions of Flvs are proposed as suppressing the aggregation by converting β-sheets of monomeric APS to proper soluble structures and disrupting the "steric zipper" fibril motifs of oligomeric intermediate by converting on-pathway into off-pathway. Taken together, our data propose that Flvs exert dual and more effective functions against monomeric APS (fibrillogenesis suppression) and remodel the Aβ aggregation pathway (fibril destabilization).

Differences in the free energies between the excited states of Aβ40 and Aβ42 monomers encode their aggregation propensities

The early events in the aggregation of the intrinsically disordered peptide, amyloid-β (Aβ), involve transitions from the disordered free energy ground state to assembly-competent states. Are the fingerprints of order found in the amyloid fibrils encoded in the conformations that the monomers access at equilibrium? If so, could the enhanced aggregation rate of Aβ42 compared to Aβ40 be rationalized from the sparsely populated high free energy states of the monomers? Here, we answer these questions in the affirmative using coarse-grained simulations of the self-organized polymer-intrinsically disordered protein (SOP-IDP) model of Aβ40 and Aβ42. Although both the peptides have practically identical ensemble-averaged properties, characteristic of random coils (RCs), the conformational ensembles of the two monomers exhibit sequence-specific heterogeneity. Hierarchical clustering of conformations reveals that both the peptides populate high free energy aggregation-prone ([Formula: see text]) states, which resemble the monomers in the fibril structure. The free energy gap between the ground (RC) and the [Formula: see text] states of Aβ42 peptide is smaller than that for Aβ40. By relating the populations of excited states of the two peptides to the fibril formation time scales using an empirical formula, we explain nearly quantitatively the faster aggregation rate of Aβ42 relative to Aβ40. The [Formula: see text] concept accounts for fibril polymorphs, leading to the prediction that the less stable [Formula: see text] state of Aβ42, encoding for the U-bend fibril, should form earlier than the structure with the S-bend topology, which is in accord with Ostwald's rule rationalizing crystal polymorph formation.

Conformation-dependent membrane permeabilization by neurotoxic PrP oligomers: The role of the H2H3 oligomerization domain

The relationship between prion propagation and the generation of neurotoxic species and clinical onset remains unclear. Several converging lines of evidence suggest that interactions with lipids promote various precursors to form aggregation-prone states that are involved in amyloid fibrils. Here, we compared the cytotoxicities of different soluble isolated oligomeric constructs from murine full-length PrP and from the restricted helical H2H3 domain with their effects on lipid vesicles. The helical H2H3 domain is suggested to be the minimal region of PrP involved in the oligomerization process. The discrete PrP oligomers of both the full-length sequence and the H2H3 domain have de novo β-sheeted structure when interacting with the membrane. They were shown to permeabilize synthetic negatively charged vesicles in a dose-dependent manner. Restricting the polymerization domain of the full-length PrP to the H2H3 helices strongly diminished the ability of the corresponding oligomers to associate with the lipid vesicles. Furthermore, the membrane impairment mechanism occurs differently for the full-length PrP oligomers and the H2H3 helices, as shown by dye-release and black lipid membrane experiments. The membrane damage caused by the full-length PrP oligomers is correlated to their neuronal toxicity at submicromolar concentrations, as shown by cell culture assays. Although oligomers of synthetic H2H3 could compromise in vitro cell homeostasis, they followed a membrane-disruptive pattern that was different from the full-length oligomers, as revealed by the role of PrPC in cell viability assays.

Impact of the Hereditary P301L Mutation on the Correlated Conformational Dynamics of Human Tau Protein Revealed by the Paramagnetic Relaxation Enhancement NMR Experiments.

Tau forms intracellular insoluble aggregates as a neuropathological hallmark of Alzheimer’s disease. Tau is largely unstructured, which complicates the characterization of the tau aggregation process. Recent studies have demonstrated that tau samples two distinct conformational ensembles, each of which contains the soluble and aggregation-prone states of tau. A shift to populate the aggregation-prone ensemble may promote tau fibrillization. However, the mechanism of this ensemble transition remains elusive. In this study, we explored the conformational dynamics of a tau fragment by using paramagnetic relaxation enhancement (PRE) and interference (PRI) NMR experiments. The PRE correlation map showed that tau is composed of segments consisting of residues in correlated motions. Intriguingly, residues forming the β-structures in the heparin-induced tau filament coincide with residues in these segments, suggesting that each segment behaves as a structural unit in fibrillization. PRI data demonstrated that the P301L mutation exclusively alters the transiently formed tau structures by changing the short- and long-range correlated motions among residues. The transient conformations of P301L tau expose the amyloid motif PHF6 to promote tau self-aggregation. We propose the correlated motions among residues within tau determine the population sizes of the conformational ensembles, and perturbing the correlated motions populates the aggregation-prone form.

Herbalome of Chandraprabha vati, a polyherbal formulation of Ayurveda prevents fibrillation of lysozyme by stabilizing aggregation-prone intermediate state

Lysozyme amyloidosis (ALys) is caused by the deposition of amyloid-like fibrils of lysozyme in the tissues of the gastrointestinal tract, liver and kidneys. The treatment/prevention of ALys is not known yet. Therefore, searching for therapeutic agents for amyloidosis is of great value. In this study, we have examined the ability of the aqueous extract of herbalome (thirty herbal components) of Chandraprabha vati (EHCV), a polyherbal Ayurvedic formulation, to prevent fibrillation of lysozyme. Transmission electron microscopy and multiple biophysical techniques were used to examine the processes. We found complete inhibition of the fibrillation by EHCV, whereas none of the thirty ingredients of EHCV was able to prevent the reaction, solely. We also found the EHCV induced and stabilized secondary structures of aggregation-prone state (APS) of lysozyme. Moreover, an increase in the secondary structure and stability of APS were found to correlate with the inhibition reaction. We conclude that EHCV modulates the structure and stability of APS and converts it into an aggregation resistant state (ARS). We hypothesized that herbal components of Ayurvedic formulation may provide a combination of molecules, which could efficiently prevent aggregation reaction.

Single-residue physicochemical characteristics kinetically partition membrane protein self-assembly and aggregation.

Ninety-five percent of all transmembrane proteins exist in kinetically trapped aggregation-prone states that have been directly linked to neurodegenerative diseases. Interestingly, the primary sequence almost invariably avoids off-pathway aggregate formation, by folding reliably into its native, thermodynamically stabilized structure. However, with the rising incidence of protein aggregation diseases, it is now important to understand the underlying mechanism(s) of membrane protein aggregation. Micromolecular physicochemical and biochemical alterations in the primary sequence that trigger the formation of macromolecular cross-β aggregates can be measured only through combinatorial spectroscopic experiments. Here, we developed spectroscopic thermal perturbation with 117 experimental variables to assess how subtle protein sequence variations drive the molecular transition of the folded protein to oligomeric aggregates. Using the Yersinia pestis outer transmembrane β-barrel Ail as a model, we delineated how a single-residue substitution that alters the membrane-anchoring ability of Ail significantly contributes to the kinetic component of Ail stability. We additionally observed a stabilizing role for interface aliphatics, and that interface aromatics physicochemically contribute to Ail self-assembly and aggregation. Moreover, our method identified the formation of structured oligomeric intermediates during Ail aggregation. We show that the self-aggregation tendency of Ail is offset by the evolution of a thermodynamically compromised primary sequence that balances folding, stability, and oligomerization. Our approach provides critical information on how subtle changes in protein primary sequence trigger cross-β fibril formation, with insights that have direct implications for deducing the molecular progression of neurodegeneration and amyloidogenesis in humans.

Effect of Post-Translational Modifications and Mutations on Amyloid-β Fibrils Dynamics at N Terminus

We investigate the variability in the dynamics of the disordered N-terminal domain of amyloid-β fibrils (Aβ), comprising residues 1–16 of Aβ1–40, due to post-translational modifications and mutations in the β-bend regions known to modulate aggregation properties. Using 2H static solid-state NMR approaches, we compare the dynamics in the wild-type Aβ fibrils in the threefold symmetric polymorph with the fibrils from three post-translational modification sequences: isoaspartate-D7, the phosphorylation of S8, and an N-terminal truncation ΔE3. Additional comparisons are made with the mutants in the β-bend region (residues 21–23) corresponding to the familial Osaka E22Δ deletion and D23N Iowa mutation. We also include the aggregates induced by Zn2+ ions. The dynamics are probed at the F4 and G9 positions. The main motional model involves two free states undergoing diffusion and conformational exchanges with the bound state in which the diffusion is quenched because of transient interactions involving fibril core and other intrastrand contacts. The fraction of the bound state increases in a sigmoidal fashion with a decrease in temperature. There is clear variability in the dynamics: the phosphorylation of S8 variant is the most rigid at the G9 site in line with structural studies, the ΔE3 fibrils are more flexible at the G9 site in line with the morphological fragmentation pattern, the Zn-induced aggregates are the most mobile, and the two β-bend mutants have the strongest changes at the F4 site toward higher rigidity. Overall, the changes underlie the potential role of conformational ensembles in setting the stage for aggregation-prone states.

An Expanded Conformation of an Antibody Fab Region by X-Ray Scattering, Molecular Dynamics, and smFRET Identifies an Aggregation Mechanism

Protein aggregation is the underlying cause of many diseases, and also limits the usefulness of many natural and engineered proteins in biotechnology. Better mechanistic understanding and characterization of aggregation-prone states is needed to guide protein engineering, formulation, and drug-targeting strategies that prevent aggregation. While several final aggregated states—notably amyloids—have been characterized structurally, very little is known about the native structural conformers that initiate aggregation. We used a novel combination of small-angle x-ray scattering (SAXS), atomistic molecular dynamic simulations, single-molecule Förster resonance energy transfer, and aggregation-prone region predictions, to characterize structural changes in a native humanized Fab A33 antibody fragment, that correlated with the experimental aggregation kinetics. SAXS revealed increases in the native state radius of gyration, Rg, of 2.2% to 4.1%, at pH 5.5 and below, concomitant with accelerated aggregation. In a cutting-edge approach, we fitted the SAXS data to full MD simulations from the same conditions and located the conformational changes in the native state to the constant domain of the light chain (CL). This CL displacement was independently confirmed using single-molecule Förster resonance energy transfer measurements with two dual-labeled Fabs. These conformational changes were also found to increase the solvent exposure of a predicted APR, suggesting a likely mechanism through which they promote aggregation. Our findings provide a means by which aggregation-prone conformational states can be readily determined experimentally, and thus potentially used to guide protein engineering, or ligand binding strategies, with the aim of stabilizing the protein against aggregation.

Molecular recognition and maturation of SOD1 by its evolutionarily destabilised cognate chaperone hCCS.

Superoxide dismutase-1 (SOD1) maturation comprises a string of posttranslational modifications which transform the nascent peptide into a stable and active enzyme. The successive folding, metal ion binding, and disulphide acquisition steps in this pathway can be catalysed through a direct interaction with the copper chaperone for SOD1 (CCS). This process confers enzymatic activity and reduces access to noncanonical, aggregation-prone states. Here, we present the functional mechanisms of human copper chaperone for SOD1 (hCCS)–catalysed SOD1 activation based on crystal structures of reaction precursors, intermediates, and products. Molecular recognition of immature SOD1 by hCCS is driven by several interface interactions, which provide an extended surface upon which SOD1 folds. Induced-fit complexation is reliant on the structural plasticity of the immature SOD1 disulphide sub-loop, a characteristic which contributes to misfolding and aggregation in neurodegenerative disease. Complexation specifically stabilises the SOD1 disulphide sub-loop, priming it and the active site for copper transfer, while delaying disulphide formation and complex dissociation. Critically, a single destabilising amino acid substitution within the hCCS interface reduces hCCS homodimer affinity, creating a pool of hCCS available to interact with immature SOD1. hCCS substrate specificity, segregation between solvent and biological membranes, and interaction transience are direct results of this substitution. In this way, hCCS-catalysed SOD1 maturation is finessed to minimise copper wastage and reduce production of potentially toxic SOD1 species.

AMYCO: evaluation of mutational impact on prion-like proteins aggregation propensity

BackgroundAround 1% of human proteins are predicted to contain a disordered and low complexity prion-like domain (PrLD). Mutations in PrLDs have been shown promote a transition towards an aggregation-prone state in several diseases.ResultsRecently, we have shown that an algorithm that considers the effects of mutations on PrLDs composition, as well as on localized amyloid propensity can predict the impact of these amino acid changes on protein intracellular aggregation. In this application note, we implement this concept into the AMYCO web server, a refined algorithm that forecasts the influence of amino acid changes in prion-like proteins aggregation propensity better than state-of-the-art predictors.ConclusionsThe AMYCO web server allows for a fast and automated evaluation of the effect of mutations on the aggregation properties of prion-like proteins. This might uncover novel disease-linked amino acid changes in the sequences of human prion-like proteins. Additionally, it can find application in the in silico design of synthetic prion-like proteins with tuned aggregation propensities for different purposes. AMYCO does not require previous registration and is freely available to all users at: http://bioinf.uab.cat/amyco/.

Polyphosphate-Induced Aggregation-Prone Conformations of Tau

Tau is an intrinsically disordered protein expressed in the axons of neurons, where it functions to stabilize microtubules. In neurodegenerative diseases known as tauopathies, tau forms aggregated, cytosolic inclusions consisting of paired helical filaments. In vitro, a variety of anionic polymers have been shown to induce aggregation of tau,including polyphosphate. However, whether or not these inducers share a common mechanism is unknown. Here we used single molecule FRET to characterize conformational changes in tau upon binding to polyphosphate, contrasting the 2N3R and 2N4R isoforms. Our measurements determined that the positively charged microtubule-binding region of tau and the proline-rich region preceding it compact in the presence of polyphosphate, suggesting that these regions interact electrostatically with polyphosphate. The negatively charged N-terminal region was extended in the presence of polyphosphate, resulting in the loss of long-range contacts found in solution. These findings largely corroborate with a model for the aggregation-prone state of tau in the presence of heparin; comparison between the two models may elucidate generalizable features of tau's aggregation-prone state. Furthermore, as the ratio of 2N3R and 2N4R isoforms is imbalanced in some tauopathies, their comparison may provide insight into how this perturbation contributes to aggregate formation.