9 research outputs found

    Three-dimensional reconstruction of individual helical nano-filament structures from atomic force microscopy topographs

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    Atomic force microscopy, AFM, is a powerful tool that can produce detailed topographical images of individual nano-structures with a high signal-to-noise ratio without the need for ensemble averaging. However, the application of AFM in structural biology has been hampered by the tip-sample convolution effect, which distorts images of nano-structures, particularly those that are of similar dimensions to the cantilever probe tips used in AFM. Here we show that the tip-sample convolution results in a feature-dependent and non-uniform distribution of image resolution on AFM topographs. We show how this effect can be utilised in structural studies of nano-sized upward convex objects such as spherical or filamentous molecular assemblies deposited on a flat surface, because it causes ā€˜magnificationā€™ of such objects in AFM topographs. Subsequently, this enhancement effect is harnessed through contact-point based deconvolution of AFM topographs. Here, the application of this approach is demonstrated through the 3D reconstruction of the surface envelope of individual helical amyloid filaments without the need of cross-particle averaging using the contact- deconvoluted AFM topographs. Resolving the structural variations of individual macromolecular assemblies within inherently heterogeneous populations is paramount for mechanistic understanding of many biological phenomena such as amyloid toxicity and prion strains. The approach presented here will also facilitate the use of AFM for high-resolution structural studies and integrative structural biology analysis of single molecular assemblies

    Quantification of amyloid fibril polymorphism by nano-morphometry reveals the individuality of filament assembly

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    Amyloid fibrils are highly polymorphic structures formed by many different proteins. They provide biological function but also abnormally accumulate in numerous human diseases. The physicochemical principles of amyloid polymorphism are not understood due to lack of structural insights at the single-fibril level. To identify and classify different fibril polymorphs and to quantify the level of heterogeneity is essential to decipher the precise links between amyloid structures and their functional and disease associated properties such as toxicity, strains, propagation and spreading. Employing gentle, force-distance curve-based AFM, we produce detailed images, from which the 3D reconstruction of individual filaments in heterogeneous amyloid samples is achieved. Distinctive fibril polymorphs are then classified by hierarchical clustering, and sample heterogeneity is objectively quantified. These data demonstrate the polymorphic nature of fibril populations, provide important information regarding the energy landscape of amyloid self-assembly, and offer quantitative insights into the structural basis of polymorphism in amyloid populations

    Tau (297ā€391) forms filaments that structurally mimic the core of paired helical filaments in Alzheimerā€™s disease brain

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    The constituent paired helical filaments (PHFs) in neurofibrillary tangles are insoluble intracellular deposits central to the development of Alzheimerā€™s disease (AD) and other tauopathies. Fullā€length tau requires the addition of anionic cofactors such as heparin to enhance assembly. We have shown that a fragment from the proteolytically stable core of the PHF, tau 297ā€391 known as ā€˜dGAEā€™, spontaneously forms crossā€Ī²ā€containing PHFs and straight filaments under physiological conditions. Here, we have analysed and compared the structures of the filaments formed by dGAE in vitro with those deposited in the brains of individuals diagnosed with AD. We show that dGAE forms PHFs that share a macromolecular structure similar to those found in brain tissue. Thus, dGAEs may serve as a model system for studying core domain assembly and for screening for inhibitors of tau aggregation

    The molecular lifecycle of amyloid ā€“ Mechanism of assembly, mesoscopic organisation, polymorphism, suprastructures, and biological consequences

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    The formation of a diverse range of amyloid structures from normally soluble proteins and peptides is a hallmark of devastating human disorders as well as biological functions. The current molecular understanding of the amyloid lifecycle reveals four processes central to their growth and propagation: primary nucleation, elongation, secondary nucleation and division. However, these processes result in a wide range of cross-Ī² packing and filament arrangements, including diverse assemblies formed from identical monomeric precursors with the same amino acid sequences. Here, we review current structural and mechanistic understanding of amyloid self-assembly, and discuss how mesoscopic, i.e. micrometre to nanometre, organisation of amyloid give rise to suprastructural features that may be the key link between the polymorphic amyloid structures and the biological response they elicit. A greater understanding of the mechanisms governing suprastructure formation will guide future strategies to combat amyloid associated disorders and to use and control the amyloid quaternary structure in synthetic biology and materials applications

    Development of Biophysical and Chemical Methods for Investigations into the Polymorphic Nature of Amyloid Fibril Structures

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    Protein misfolding and self-assembly into the amyloid state is associated with a range of neurodegenerative diseases. These diseases affect an increasing number of patients every year and have significant detrimental human and economic impacts. Despite sharing the cross-Ī² core architecture, amyloid fibrils exhibit polymorphism, which is likely to underpin the relationship between structure, function, and dysfunction. In this work, the nature of amyloid fibril structural polymorphism is investigated using chemical conjugation and biophysical methods. Amyloid-DNA conjugates were made, with the aim of altering amyloid suprastructure and thus modulate the transmission of amyloid between cells, as well as develop modular nanomaterials. A modified variant of the Sup35 prion protein was used as a model system to which complementary DNA strands or a nucleobase analogue were conjugated via thiol-maleimide reactions. Atomic force microscopy, a nanoscale imaging technique, was used to characterise the modified Sup35 fibrils. Furthermore, AFM image analysis methodologies were advanced through the development of image deconvolution and 3D reconstruction algorithms. This approach led to both in silico correction of an imaging artefact and an approximate doubling of local resolution. The AFM analysis approach was further improved by integrating data from cryo-EM with AFM 3D envelopes, in a developed comparative morphometrics approach. This was demonstrated on dGAE tau amyloid and cryo-EM density maps of tau fibrils from various tauopathies, as well as heparin-induced in vitro formed fibrils, showing that in vitro self-assembled dGAE is a physiologically relevant model system as it is similar to PHF fibrils from Alzheimer's disease patient brain tissue. Finally, a systematic meta- analysis of structural features across all amyloid fibril atomic models in the PDB and EMDB was carried out to investigate the structural basis of the different biological effects of amyloid. The work in thesis contributes to improving our fundamental understanding of amyloid structure-function relationships

    On the Structural Diversity and Individuality of Polymorphic Amyloid Protein Assemblies

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    The prediction of highly ordered three-dimensional structures of amyloid protein fibrils from the amino acid sequences of their monomeric self-assembly precursors constitutes a challenging and unresolved aspect of the classical protein folding problem. Because of the polymorphic nature of amyloid assembly whereby polypeptide chains of identical amino acid sequences under identical conditions are capable of self-assembly into a spectrum of different fibril structures, the prediction of amyloid structures from an amino acid sequence requires a detailed and holistic understanding of its assembly free energy landscape. The full extent of the structure space accessible to the cross-Ī² molecular architecture of amyloid must also be resolved. Here, we review the current understanding of the diversity and the individuality of amyloid structures, and how the polymorphic landscape of amyloid links to biology and disease phenotypes. We present a comprehensive review of structural models of amyloid fibrils derived by cryo-EM, ssNMR and AFM to date, and discuss the challenges ahead for resolving the structural basis and the biological consequences of polymorphic amyloid assemblies

    Structural identification of individual helical amyloid filaments by integration of cryo-electron microscopy-derived maps in comparative morphometric atomic force microscopy image analysis

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    The presence of amyloid fibrils is a hallmark of more than 50 human disorders, including neurodegenerative diseases and systemic amyloidoses. A key unresolved challenge in understanding the involvement of amyloid in disease is to explain the relationship between individual structural polymorphs of amyloid fibrils, in potentially mixed populations, and the specific pathologies with which they are associated. Although cryo-electron microscopy (cryo-EM) and solid-state nuclear magnetic resonance (ssNMR) spectroscopy methods have been successfully employed in recent years to determine the structures of amyloid fibrils with high resolution detail, they rely on ensemble averaging of fibril structures in the entire sample or significant subpopulations. Here, we report a method for structural identification of individual fibril structures imaged by atomic force microscopy (AFM) by integration of high-resolution maps of amyloid fibrils determined by cryo-EM in comparative AFM image analysis. This approach was demonstrated using the hitherto structurally unresolved amyloid fibrils formed in vitro from a fragment of tau (297-391), termed ā€˜dGAEā€™. Our approach established unequivocally that dGAE amyloid fibrils bear no structural relationship to heparin-induced tau fibrils formed in vitro. Furthermore, our comparative analysis resulted in the prediction that dGAE fibrils are closely related structurally to the paired helical filaments (PHFs) isolated from Alzheimerā€™s disease (AD) brain tissue characterised by cryo-EM. These results show the utility of individual particle structural analysis using AFM, provide a workflow of how cryo-EM data can be incorporated into AFM image analysis and facilitate an integrated structural analysis of amyloid polymorphism
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