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      Endo-lysosomal Aβ concentration and pH trigger formation of Aβ oligomers that potently induce Tau missorting

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          Abstract

          Amyloid-β peptide (Aβ) forms metastable oligomers >50 kDa, termed AβOs, that are more effective than Aβ amyloid fibrils at triggering Alzheimer’s disease-related processes such as synaptic dysfunction and Tau pathology, including Tau mislocalization. In neurons, Aβ accumulates in endo-lysosomal vesicles at low pH. Here, we show that the rate of AβO assembly is accelerated 8,000-fold upon pH reduction from extracellular to endo-lysosomal pH, at the expense of amyloid fibril formation. The pH-induced promotion of AβO formation and the high endo-lysosomal Aβ concentration together enable extensive AβO formation of Aβ42 under physiological conditions. Exploiting the enhanced AβO formation of the dimeric Aβ variant dimAβ we furthermore demonstrate targeting of AβOs to dendritic spines, potent induction of Tau missorting, a key factor in tauopathies, and impaired neuronal activity. The results suggest that the endosomal/lysosomal system is a major site for the assembly of pathomechanistically relevant AβOs.

          Abstract

          Aβ oligomers (AβO) are thought to represent the main toxic species in Alzheimer’s disease but very high Aβ concentrations are required to study them in vitro and it remains unknown what role these off-pathway oligomers play in vivo. Here, the authors use a dimeric variant of Aβ termed dimAβ, where two Aβ40 units are linked, which facilitates to study AβO formation kinetics and they observe that Aβ off-pathway oligomer formation is strongly accelerated at endo-lysosomal pH, while amyloid fibril formation is delayed. Furthermore, the authors demonstrate that dimAβ is a disease-relevant model construct for pathogenic AβO formation by showing that dimAβ AβOs target dendritic spines and induce AD-like somatodendritic Tau missorting.

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            NIH Image to ImageJ: 25 years of image analysis

            For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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              New tools for automated high-resolution cryo-EM structure determination in RELION-3

              Here, we describe the third major release of RELION. CPU-based vector acceleration has been added in addition to GPU support, which provides flexibility in use of resources and avoids memory limitations. Reference-free autopicking with Laplacian-of-Gaussian filtering and execution of jobs from python allows non-interactive processing during acquisition, including 2D-classification, de novo model generation and 3D-classification. Per-particle refinement of CTF parameters and correction of estimated beam tilt provides higher resolution reconstructions when particles are at different heights in the ice, and/or coma-free alignment has not been optimal. Ewald sphere curvature correction improves resolution for large particles. We illustrate these developments with publicly available data sets: together with a Bayesian approach to beam-induced motion correction it leads to resolution improvements of 0.2–0.7 Å compared to previous RELION versions.
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                Author and article information

                Contributors
                hans.zempel@uk-koeln.de
                wolfgang.hoyer@hhu.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                30 July 2021
                30 July 2021
                2021
                : 12
                : 4634
                Affiliations
                [1 ]GRID grid.411327.2, ISNI 0000 0001 2176 9917, Institut für Physikalische Biologie, , Heinrich-Heine-Universität Düsseldorf, ; Düsseldorf, Germany
                [2 ]GRID grid.6190.e, ISNI 0000 0000 8580 3777, Institute of Human Genetics and Center for Molecular Medicine Cologne (CMMC), , University of Cologne, Faculty of Medicine and University Hospital Cologne, ; Cologne, Germany
                [3 ]GRID grid.8385.6, ISNI 0000 0001 2297 375X, Institute of Biological Information Processing (IBI-7) and JuStruct: Jülich Center for Structural Biology, , Forschungszentrum Jülich, ; Jülich, Germany
                [4 ]GRID grid.411327.2, ISNI 0000 0001 2176 9917, Department of Biology, Center for Advanced Imaging (CAi), , Heinrich-Heine-Universität Düsseldorf, ; Düsseldorf, Germany
                [5 ]GRID grid.411327.2, ISNI 0000 0001 2176 9917, Physics Department, , Heinrich-Heine-Universität Düsseldorf, ; Düsseldorf, Germany
                Author information
                http://orcid.org/0000-0001-5059-0449
                http://orcid.org/0000-0002-3636-1364
                http://orcid.org/0000-0001-7443-917X
                http://orcid.org/0000-0003-1803-5431
                http://orcid.org/0000-0002-7510-3077
                http://orcid.org/0000-0003-4301-5416
                Article
                24900
                10.1038/s41467-021-24900-4
                8324842
                34330900
                66f48b33-727d-413d-aa85-c7e82376d742
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 July 2020
                : 14 July 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: 726368
                Award Recipient :
                Categories
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                © The Author(s) 2021

                Uncategorized
                protein aggregation,kinetics,mechanisms of disease,alzheimer's disease,biophysical chemistry

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