Understanding amyloid aggregation by statistical analysis of atomic force microscopy images

Paolo De Los Rios, Giovanni Dietler, Jérôme Flakowski, Raffaele Mezzenga
Nature Publishing Group, 2010
Article

Résumé

The aggregation of proteins is central to many aspects of daily life, including food processing, blood coagulation, eye cataract formation disease and prion-related neurodegenerative infections[1–5]. However, the physical mechanisms responsible for amyloidosis—the irreversible fibril formation of various proteins that is linked to disorders such as Alzheimer’s, Creutzfeldt–Jakob and Huntington’s diseases—have not yet been fully elucidated[6–9]. Here, we show that different stages of amyloid aggregation can be examined by performing a stat- istical polymer physics analysis of single-molecule atomic force microscopy images of heat-denatured b-lactoglobulin fibrils. The atomic force microscopy analysis, supported by theoretical arguments, reveals that the fibrils have a multistranded helical shape with twisted ribbon-like structures. Our results also indicate a possible general model for amyloid fibril assembly and illustrate the potential of this approach for investigating fibrillar systems. 1. Caughey, B. & Lansbury, P. T. Protofibrils, pores, fibrils and neurodegeneration: separating the responsible protein aggregates from the innocent bystanders. Annu. Rev. Neurosci. 26, 267–298 (2003). 2. Stradner, A. et al. Equilibrium cluster formation in concentrated protein solutions and colloids. Nature 432, 492–495 (2004). 3. Mezzenga, R., Schurtenberger, P., Burbidge, A. & Michel, M. Understanding foods as soft materials. Nature Mater. 4, 729–740 (2005). 4. Selkoe, D. J. Folding proteins in fatal ways. Nature 426, 900–904 (2003). 5. Chiti, F. & Dobson, C. M. Amyloid formation by globular proteins under native conditions. Nature Chem. Biol. 5, 15–22 (2009). 6. Knowles, T. P. et al. Role of intermolecular forces in defining material properties of protein nanofibrils. Science 318, 1900–1903 (2007). 7. Nelson, R. et al. Structure of the cross-beta spine of amyloid-like fibrils. Nature 435, 773–778 (2005). 8. Chiti, F. & Dobson, C. M. Protein misfolding, functional amyloid and human disease. Annu. Rev. Biochem. 75, 333–366 (2006). 9. Dobson, C. M. Protein folding and misfolding. Nature 426, 884–890 (2003).

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Paolo De Los Rios, Giovanni Dietler, Jérôme Flakowski, Raffaele Mezzenga
Nature Publishing Group, 2010
Article

Résumé

Official source

https://infoscience.epfl.ch/record/149082?ln=fr

À propos de ce résultat

Concepts associés (14)

Concepts associés

Chargement

Publications associées (19)

Publications associées

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AFM-Based Single Molecule Techniques: Unraveling the Amyloid Pathogenic Species

Andrea Cerreta, Giovanni Dietler, Francesco Simone Ruggeri

Background: A wide class of human diseases and neurodegenerative disorders, such as Alzheimer's disease, is due to the failure of a specific peptide or protein to keep its native functional conformational state and to undergo a conformational change into a misfolded state, triggering the formation of fibrillar cross-beta sheet amyloid aggregates. During the fibrillization, several coexisting species are formed, giving rise to a highly heterogeneous mixture. Despite its fundamental role in biological function and malfunction, the mechanism of protein self-assembly and the fundamental origins of the connection between aggregation, cellular toxicity and the biochemistry of neurodegeneration remains challenging to elucidate in molecular detail. In particular, the nature of the specific state of proteins that is most prone to cause cytotoxicity is not established. Methods: In the present review, we present the latest advances obtained by Atomic Force Microscopy (AFM) based techniques to unravel the biophysical properties of amyloid aggregates at the nanoscale. Unraveling amyloid single species biophysical properties still represents a formidable experimental challenge, mainly because of their nanoscale dimensions and heterogeneous nature. Bulk techniques, such as circular dichroism or infrared spectroscopy, are not able to characterize the heterogeneity and inner properties of amyloid aggregates at the single species level, preventing a profound investigation of the correlation between the biophysical properties and toxicity of the individual species. Conclusion: The information delivered by AFM based techniques could be central to study the aggregation pathway of proteins and to design molecules that could interfere with amyloid aggregation delaying the onset of misfolding diseases.

Bentham Science Publishers2016

Chargement

Biomolecules are the building blocks of living organisms and perform the most important functions in a biological process. The aim of biophysics is to understand the biological functions of biomolecules in terms of their structure: structure and function of biomolecules has been an active research for several decades. Despite the evolution and emergence of new investigation techniques during the last 60 years, biological processes still present enormous challenges to our understanding due to the complex biological system spanning a wide range of spatial and temporal scales. An ideal biophysical method should have the capability to observe atomic level structures and dynamics of biological molecules in their physiological environment. It would also permit the visualization of the structures that form throughout the course of conformational changes or chemical reactions, regardless of the time scale. In this thesis, we have investigated two representative biomolecules using the well-defined biophysical methods in terms of behaviour and biophysical properties of biomolecules: Deoxyribonucleic acid (DNA) and the Amyloid-β (Aβ) peptide. Many different biophysical and biochemical tools were employed, where atomic force microscopy (AFM) was the primary instrument to observe the behaviour of the biomolecules in physiological conditions as well as the dynamic changes of structure of biomolecules. Moreover, AFM was used to measure the mechanical properties of biomolecules via direct and indirect methods. What is the behaviour of DNA molecules in an electric field? The behaviour of DNA molecules in an electric field is crucial for understanding interactions of DNA with electrically charged membrane that serves as a template for DNA based sensors and microarray applications, particularly under an electric field. Taken together, the ability to deposit a single DNA molecule on the electrode is essential to increase its specificity. To achieve this, we optimized the operational conditions in order to control a single DNA molecule adsorbing at +300 mV of potential and desorbing to/from the electrode at -25 mV of potential. Simultaneously dynamic imaging enabled us to analyse its morphological behaviour using real-time Electrochemical AFM (EC-AFM) in aqueous conditions. What is the molecular mechanism underlying Aβ42-fibrillogenesis and its role in pathogenesis? The molecular mechanism underlying Aβ42-fibrillogenesis is essential for defining the key determinant in the pathogenesis of Alzheimer’s disease. In this thesis, we carried out detailed biophysical studies to elucidate the structural changes associated with different stages of amyloid formation and provided unique perspectives on the molecular and structural basis underling the polymorphism of amyloid fibrils in Alzheimer’s disease. For the first time, we provided direct evidence of the existence of secondary-nucleation sites on the surfaces of Aβ42-fibrils and demonstrated that Aβ42-monomers play a crucial role in determining the structural properties and heterogeneity of the formed fibrils. In addition, real-time observation with in situ AFM was performed to define the mechanisms underlying oligomerization and the formation of protofibrils of Aβ42 in physiological conditions. Investigation of the elastic property of Aβ42 fibrils using two techniques based on the AFM. The self-assembly process of Aβ peptides into highly ordered amyloid fibrils is a crucial phenomenon in the cascade of pathological events that culminates in Alzheimer’s disease. Further, the assessment of the elastic properties of Aβ fibrils has recently attracted a lot of attention due to their potential biological applications. We measured the elastic property of Aβ42-fibrils immobilized on two types of substrate (positively charged mica and hydrophobic highly oriented pyrolytic graphite) and compared their properties using two techniques based on the AFM: Statistical analysis of thermal fluctuations and AFM based nanoindentation. The results from our studies show that the values of Young’s modulus of Aβ42 fibrils from the two substrates were similar (1.8 to 2.0 GPa), however they were different in the statistical analysis of thermal fluctuations (1.4 GPa, 2.3 GPa on mica and highly oriented pyrolytic graphite, respectively). These results imply that the method of thermal fluctuations was based on the shape of fibrils affected by the interaction force between the substrate and the fibrils.

EPFL2012

Chargement

Statistical Study of the Unfolding of Multimodular Proteins and their Energy Landscape by Atomic Force Microscopy

Fabrizio Benedetti

The aim of the present thesis is to investigate several aspects of: the proteins mechanics, interprotein interactions and to study also new techniques, theoretical and technical, to obtain and analyze the force spectroscopy experiments. The first section is dedicated to the statistical properties of the unfolding forces in a chain of homomeric multimodular proteins. The basic idea of this kind of statistic is to divide the peaks observed in a force extension curve in separate groups and then analyze these groups considering their position in the force curves. In fact in a multimodular homomeric protein the unfolding force is related to the number of not yet unfolded modules (we call it "N"). Such effect yields to a linear dependence of the most probable unfolding force of a peak on ln(N). We demonstrate how such dependence can be used to extract the kinetic parameters and how, ignoring it, could lead to significant errors. Following this topic we continue with non kinetic methods that, using the resampling from the rupture forces of any peak, could reconstruct the rupture forces for all the other peaks in a chain. Then a discussion about the Monte Carlo simulation for protein pulling is present. In fact a theoretical framework for such methodology has to be introduced to understand the various simulations done. In this chapter we also introduce a methodology to study the ligand receptor interactions when we directly functionalize the AFM tip and the substrate. In fact, in many of our experiments, we see a "cloud of points" in the force vs loading rate graph. We have modeled a system composed by "N" parallel springs, and studying the distribution of forces obtained in the force vs loading rate graph we have establish a procedure to restore the kinetic parameters used. Such procedure has then been used to discuss real experiments similar to biotin-avidin interaction. In the following chapter we discuss a first order approximation of the Bell-Evans model where a more explicit form of the potential is considered. In particular the dependence of the curvature of the potential on the applied force at the minimum and at the metastable state is considered. In the well known Bell-Evans model the prefactors of the transition rate are fixed at any force, however this is not what happen in nature, where the prefactors (that are the second local derivative of the interacting energy with respect to the reaction coordinate in its minimum and maximum) depend on the force applied. The results obtained with the force spectroscopy of the Laminin-binding-protein are discussed, in particular this protein showed a phase transition when the pH was changed. The behavior of this protein changes, from a normal WLC behavior to a plateau behavior. The analysis of the force spectroscopy curves shows a distribution of length where the maximum of the first prominent peak correspond to the full length of the protein. However, length that could be associated with dimers and trymers are also present in this distribution. Later a new approach to study the lock and key mechanism, using "handles" with a specific force extension pattern, is introduced. In particular handles of (I27)3 and (I27–SNase)3 were biochemically attached to: strept-actin molecules, biotin molecules, RNase and Angiogenin. The main idea is to have a system composed by "handle-(molecule A)-(molecule B)-handle" where the handles are covalently attached to the respective molecules and the two molecules "A and B" are attached by secondary bonds. This approach allows a better recognition of the protein-protein interaction enabling us to filter out spurious events. Doing a statistic on the rupture forces and comparing this with the statistic of the detachments of the system of the bare handles, we are able to extract the information of the interaction between the molecule A and B. The two last chapters are of more preliminary character that the previous part of the thesis. A section is dedicated to the estimation of effective mass and viscous drag of the cantilevers studied by autocorrelation and noise power spectrum. Usually the noise power spectrum method is the most used, however the autocorrelation should give approximately the same information. The parameters obtained are important in high frequency modulation techniques. In fact, they are needed to interpret the results. The results of these two methods show a good agreement in the estimation of the mass and the viscous drag of the various cantilever used. Afterwards a chapter is dedicated to the discussion of the force spectroscopy experiments using a low frequency modulation of the cantilever base. Such experiments allow us to record the phase and the amplitude shift of the modulation signal used. Using the amplitude channel we managed to restore the static force signal with a lower level of noise. Moreover these signals give us direct information about the dynamic stiffness and the lose of energy in the system, information that, using the standard technique would be difficult (or even impossible) to obtain.

EPFL2012

Chargement

Statistical Study of the Unfolding of Multimodular Proteins and their Energy Landscape by Atomic Force Microscopy

Fabrizio Benedetti

EPFL2012