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      TDP-43 forms amyloid filaments with a distinct fold in type A FTLD-TDP

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          Abstract

          The abnormal assembly of TAR DNA-binding protein 43 (TDP-43) in neuronal and glial cells characterizes nearly all cases of amyotrophic lateral sclerosis (ALS) and around half of cases of frontotemporal lobar degeneration (FTLD) 1, 2 . A causal role for TDP-43 assembly in neurodegeneration is evidenced by dominantly inherited missense mutations in TARDBP, the gene encoding TDP-43, that promote assembly and give rise to ALS and FTLD 37 . At least four types (A–D) of FTLD with TDP-43 pathology (FTLD-TDP) are defined by distinct brain distributions of assembled TDP-43 and are associated with different clinical presentations of frontotemporal dementia 8 . We previously showed, using cryo-electron microscopy, that TDP-43 assembles into amyloid filaments in ALS and type B FTLD-TDP 9 . However, the structures of assembled TDP-43 in FTLD without ALS remained unknown. Here we report the cryo-electron microscopy structures of assembled TDP-43 from the brains of three individuals with the most common type of FTLD-TDP, type A. TDP-43 formed amyloid filaments with a new fold that was the same across individuals, indicating that this fold may characterize type A FTLD-TDP. The fold resembles a chevron badge and is unlike the double-spiral-shaped fold of ALS and type B FTLD-TDP, establishing that distinct filament folds of TDP-43 characterize different neurodegenerative conditions. The structures, in combination with mass spectrometry, led to the identification of two new post-translational modifications of assembled TDP-43, citrullination and monomethylation of R293, and indicate that they may facilitate filament formation and observed structural variation in individual filaments. The structures of TDP-43 filaments from type A FTLD-TDP will guide mechanistic studies of TDP-43 assembly, as well as the development of diagnostic and therapeutic compounds for TDP-43 proteinopathies.

          Abstract

          Cryo-electron microscopy structures and mass spectrometry analyses show that TAR DNA-binding protein 43 (TDP-43) forms amyloid filaments with a distinct fold in type A frontotemporal lobar degeneration with TDP-43 pathology (FTLD-TDP) compared with TDP-43 filaments in type B FTLD-TDP and amyotrophic lateral sclerosis.

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          Most cited references67

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          UCSF ChimeraX : Structure visualization for researchers, educators, and developers

          UCSF ChimeraX is the next-generation interactive visualization program from the Resource for Biocomputing, Visualization, and Informatics (RBVI), following UCSF Chimera. ChimeraX brings (a) significant performance and graphics enhancements; (b) new implementations of Chimera's most highly used tools, many with further improvements; (c) several entirely new analysis features; (d) support for new areas such as virtual reality, light-sheet microscopy, and medical imaging data; (e) major ease-of-use advances, including toolbars with icons to perform actions with a single click, basic "undo" capabilities, and more logical and consistent commands; and (f) an app store for researchers to contribute new tools. ChimeraX includes full user documentation and is free for noncommercial use, with downloads available for Windows, Linux, and macOS from https://www.rbvi.ucsf.edu/chimerax.
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            CTFFIND4: Fast and accurate defocus estimation from electron micrographs.

            CTFFIND is a widely-used program for the estimation of objective lens defocus parameters from transmission electron micrographs. Defocus parameters are estimated by fitting a model of the microscope's contrast transfer function (CTF) to an image's amplitude spectrum. Here we describe modifications to the algorithm which make it significantly faster and more suitable for use with images collected using modern technologies such as dose fractionation and phase plates. We show that this new version preserves the accuracy of the original algorithm while allowing for higher throughput. We also describe a measure of the quality of the fit as a function of spatial frequency and suggest this can be used to define the highest resolution at which CTF oscillations were successfully modeled.
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              MolProbity: More and better reference data for improved all-atom structure validation.

              This paper describes the current update on macromolecular model validation services that are provided at the MolProbity website, emphasizing changes and additions since the previous review in 2010. There have been many infrastructure improvements, including rewrite of previous Java utilities to now use existing or newly written Python utilities in the open-source CCTBX portion of the Phenix software system. This improves long-term maintainability and enhances the thorough integration of MolProbity-style validation within Phenix. There is now a complete MolProbity mirror site at http://molprobity.manchester.ac.uk. GitHub serves our open-source code, reference datasets, and the resulting multi-dimensional distributions that define most validation criteria. Coordinate output after Asn/Gln/His "flip" correction is now more idealized, since the post-refinement step has apparently often been skipped in the past. Two distinct sets of heavy-atom-to-hydrogen distances and accompanying van der Waals radii have been researched and improved in accuracy, one for the electron-cloud-center positions suitable for X-ray crystallography and one for nuclear positions. New validations include messages at input about problem-causing format irregularities, updates of Ramachandran and rotamer criteria from the million quality-filtered residues in a new reference dataset, the CaBLAM Cα-CO virtual-angle analysis of backbone and secondary structure for cryoEM or low-resolution X-ray, and flagging of the very rare cis-nonProline and twisted peptides which have recently been greatly overused. Due to wide application of MolProbity validation and corrections by the research community, in Phenix, and at the worldwide Protein Data Bank, newly deposited structures have continued to improve greatly as measured by MolProbity's unique all-atom clashscore.

                Author and article information

                Contributors
                bfalcon@mrc-lmb.cam.ac.uk
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                2 August 2023
                2 August 2023
                2023
                : 620
                : 7975
                : 898-903
                Affiliations
                [1 ]GRID grid.42475.30, ISNI 0000 0004 0605 769X, MRC Laboratory of Molecular Biology, ; Cambridge, UK
                [2 ]GRID grid.257413.6, ISNI 0000 0001 2287 3919, Department of Pathology and Laboratory Medicine, , Indiana University School of Medicine, ; Indianapolis, IN USA
                [3 ]GRID grid.272456.0, ISNI 0000 0000 9343 3630, Department of Brain and Neurosciences, , Tokyo Metropolitan Institute of Medical Science, ; Tokyo, Japan
                [4 ]GRID grid.415721.4, ISNI 0000 0000 8535 2371, Division of Neuroscience, Faculty of Biology, Medicine and Health, School of Biological Sciences, , University of Manchester, Salford Royal Hospital, ; Salford, UK
                Author information
                http://orcid.org/0000-0001-7585-288X
                http://orcid.org/0000-0002-7602-6384
                http://orcid.org/0000-0002-1899-7676
                http://orcid.org/0000-0001-9125-7001
                http://orcid.org/0000-0003-2208-7728
                http://orcid.org/0000-0002-1842-8019
                http://orcid.org/0000-0001-7415-8159
                http://orcid.org/0000-0002-8176-2618
                Article
                6405
                10.1038/s41586-023-06405-w
                10447236
                37532939
                a86f6a90-c029-443b-a7f6-f6730ea40b16
                © The Author(s) 2023

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 February 2023
                : 5 July 2023
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                © Springer Nature Limited 2023

                Uncategorized
                dementia,protein aggregation,cryoelectron microscopy,neurodegeneration,post-translational modifications

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