Assembly of recombinant tau into filaments identical to those of Alzheimer's disease and chronic traumatic encephalopathy

  1. Sofia Lövestam
  2. Fujiet Adrian Koh
  3. Bart van Knippenberg
  4. Abhay Kotecha
  5. Alexey G Murzin
  6. Michel Goedert  Is a corresponding author
  7. Sjors HW Scheres  Is a corresponding author
  1. MRC Laboratory of Molecular Biology, United Kingdom
  2. Thermo Fisher Scientific, Netherlands

Abstract

Abundant filamentous inclusions of tau are characteristic of more than 20 neurodegenerative diseases that are collectively termed tauopathies. Electron cryo-microscopy (cryo-EM) structures of tau amyloid filaments from human brain revealed that distinct tau folds characterise many different diseases. A lack of laboratory-based model systems to generate these structures has hampered efforts to uncover the molecular mechanisms that underlie tauopathies. Here, we report in vitro assembly conditions with recombinant tau that replicate the structures of filaments from both Alzheimer's disease (AD) and chronic traumatic encephalopathy (CTE), as determined by cryo-EM. Our results suggest that post-translational modifications of tau modulate filament assembly, and that previously observed additional densities in AD and CTE filaments may arise from the presence of inorganic salts, like phosphates and sodium chloride. In vitro assembly of tau into disease-relevant filaments will facilitate studies to determine their roles in different diseases, as well as the development of compounds that specifically bind to these structures or prevent their formation.

Data availability

There are no restrictions on data and materials availability. Cryo-EM maps and atomic models have been deposited at the EMDB and the PDB, respectively (see Supplementary Tables 1-25 for their accession codes).In addition, the raw cryo-EM data, together with the relevant intermediate steps of their processing have been deposited at EMPIAR for three data sets: EMPIAR-10940 for data set 11; EMPIAR-10943 for data set 10; EMPIAR-10944 for data set 15.

The following data sets were generated

Article and author information

Author details

  1. Sofia Lövestam

    MRC Laboratory of Molecular Biology, Cambridge, United Kingdom
    Competing interests
    No competing interests declared.
  2. Fujiet Adrian Koh

    Thermo Fisher Scientific, Eindhoven, Netherlands
    Competing interests
    Fujiet Adrian Koh, is affiliated with Thermo Fisher Scientific. The author has no financial interests to declare..
  3. Bart van Knippenberg

    Thermo Fisher Scientific, Eindhoven, Netherlands
    Competing interests
    Bart van Knippenberg, is affiliated with Thermo Fisher Scientific. The author has no financial interests to declare..
  4. Abhay Kotecha

    Thermo Fisher Scientific, Eindhoven, Netherlands
    Competing interests
    Abhay Kotecha, is affiliated with Thermo Fisher Scientific. The author has no financial interests to declare..
  5. Alexey G Murzin

    MRC Laboratory of Molecular Biology, Cambridge, United Kingdom
    Competing interests
    No competing interests declared.
  6. Michel Goedert

    MRC Laboratory of Molecular Biology, Cambridge, United Kingdom
    For correspondence
    mg@mrc-lmb.cam.ac.uk
    Competing interests
    No competing interests declared.
  7. Sjors HW Scheres

    MRC Laboratory of Molecular Biology, Cambridge, United Kingdom
    For correspondence
    scheres@mrc-lmb.cam.ac.uk
    Competing interests
    Sjors HW Scheres, Reviewing editor, eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0462-6540

Funding

Medical Research Council (MC_UP_A025_1013)

  • Sjors HW Scheres

Medical Research Council (MC-U105184291)

  • Michel Goedert

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2022, Lövestam et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 16,977
    views
  • 2,428
    downloads
  • 164
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Sofia Lövestam
  2. Fujiet Adrian Koh
  3. Bart van Knippenberg
  4. Abhay Kotecha
  5. Alexey G Murzin
  6. Michel Goedert
  7. Sjors HW Scheres
(2022)
Assembly of recombinant tau into filaments identical to those of Alzheimer's disease and chronic traumatic encephalopathy
eLife 11:e76494.
https://doi.org/10.7554/eLife.76494

Share this article

https://doi.org/10.7554/eLife.76494

Further reading

    1. Neuroscience
    Tai-Ying Lee, Yves Weissenberger ... Johannes C Dahmen
    Research Article

    Hearing involves analyzing the physical attributes of sounds and integrating the results of this analysis with other sensory, cognitive, and motor variables in order to guide adaptive behavior. The auditory cortex is considered crucial for the integration of acoustic and contextual information and is thought to share the resulting representations with subcortical auditory structures via its vast descending projections. By imaging cellular activity in the corticorecipient shell of the inferior colliculus of mice engaged in a sound detection task, we show that the majority of neurons encode information beyond the physical attributes of the stimulus and that the animals’ behavior can be decoded from the activity of those neurons with a high degree of accuracy. Surprisingly, this was also the case in mice in which auditory cortical input to the midbrain had been removed by bilateral cortical lesions. This illustrates that subcortical auditory structures have access to a wealth of non-acoustic information and can, independently of the auditory cortex, carry much richer neural representations than previously thought.

    1. Genetics and Genomics
    2. Neuroscience
    Thomas P Spargo, Lachlan Gilchrist ... Alfredo Iacoangeli
    Research Article

    Continued methodological advances have enabled numerous statistical approaches for the analysis of summary statistics from genome-wide association studies. Genetic correlation analysis within specific regions enables a new strategy for identifying pleiotropy. Genomic regions with significant ‘local’ genetic correlations can be investigated further using state-of-the-art methodologies for statistical fine-mapping and variant colocalisation. We explored the utility of a genome-wide local genetic correlation analysis approach for identifying genetic overlaps between the candidate neuropsychiatric disorders, Alzheimer’s disease (AD), amyotrophic lateral sclerosis (ALS), frontotemporal dementia, Parkinson’s disease, and schizophrenia. The correlation analysis identified several associations between traits, the majority of which were loci in the human leukocyte antigen region. Colocalisation analysis suggested that disease-implicated variants in these loci often differ between traits and, in one locus, indicated a shared causal variant between ALS and AD. Our study identified candidate loci that might play a role in multiple neuropsychiatric diseases and suggested the role of distinct mechanisms across diseases despite shared loci. The fine-mapping and colocalisation analysis protocol designed for this study has been implemented in a flexible analysis pipeline that produces HTML reports and is available at: https://github.com/ThomasPSpargo/COLOC-reporter.