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      Location and function of TDP-43 in platelets, alterations in neurodegenerative diseases and arising considerations for current plasma biobank protocols

      research-article
      1 , , 2 , 1 , 1 , 3 , 4 , 5 , 11 , 6 , 7 , 8 , 2 , 1 , 1 , 2 , 1 , 7 , 7 , 8 , 12 , 8 , 3 , 4 , 9 , 1 , 1 , 3 , 6 , 10 , 3 , 4 , 5 , 6 , 3 , 4 , 13 , 1 , 3 , 5 , 6 , 2 , 7 , 8
      Scientific Reports
      Nature Publishing Group UK
      Drug discovery, Neuroscience, Physiology, Biomarkers, Neurology, Pathogenesis

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          Abstract

          The TAR DNA Binding Protein 43 (TDP-43) has been implicated in the pathogenesis of human neurodegenerative diseases and exhibits hallmark neuropathology in amyotrophic lateral sclerosis (ALS). Here, we explore its tractability as a plasma biomarker of disease and describe its localization and possible functions in the cytosol of platelets. Novel TDP-43 immunoassays were developed on three different technical platforms and qualified for specificity, signal-to-noise ratio, detection range, variation, spike recovery and dilution linearity in human plasma samples. Surprisingly, implementation of these assays demonstrated that biobank-archived plasma samples yielded considerable heterogeneity in TDP-43 levels. Importantly, subsequent investigation attributed these differences to variable platelet recovery. Fractionations of fresh blood revealed that ≥ 95% of the TDP-43 in platelet-containing plasma was compartmentalized within the platelet cytosol. We reasoned that this highly concentrated source of TDP-43 comprised an interesting substrate for biochemical analyses. Additional characterization of platelets revealed the presence of the disease-associated phosphoserine 409/410 TDP-43 proteoform and many neuron- and astrocyte-expressed TDP-43 mRNA targets. Considering these striking similarities, we propose that TDP-43 may serve analogous functional roles in platelets and synapses, and that the study of platelet TDP-43 might provide a window into disease-related TDP-43 dyshomeostasis in the central nervous system.

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          Most cited references76

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          Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis.

          Ubiquitin-positive, tau- and alpha-synuclein-negative inclusions are hallmarks of frontotemporal lobar degeneration with ubiquitin-positive inclusions and amyotrophic lateral sclerosis. Although the identity of the ubiquitinated protein specific to either disorder was unknown, we showed that TDP-43 is the major disease protein in both disorders. Pathologic TDP-43 was hyper-phosphorylated, ubiquitinated, and cleaved to generate C-terminal fragments and was recovered only from affected central nervous system regions, including hippocampus, neocortex, and spinal cord. TDP-43 represents the common pathologic substrate linking these neurodegenerative disorders.
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            Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry.

            Liquid chromatography and tandem mass spectrometry (LC-MS/MS) has become the preferred method for conducting large-scale surveys of proteomes. Automated interpretation of tandem mass spectrometry (MS/MS) spectra can be problematic, however, for a variety of reasons. As most sequence search engines return results even for 'unmatchable' spectra, proteome researchers must devise ways to distinguish correct from incorrect peptide identifications. The target-decoy search strategy represents a straightforward and effective way to manage this effort. Despite the apparent simplicity of this method, some controversy surrounds its successful application. Here we clarify our preferred methodology by addressing four issues based on observed decoy hit frequencies: (i) the major assumptions made with this database search strategy are reasonable; (ii) concatenated target-decoy database searches are preferable to separate target and decoy database searches; (iii) the theoretical error associated with target-decoy false positive (FP) rate measurements can be estimated; and (iv) alternate methods for constructing decoy databases are similarly effective once certain considerations are taken into account.
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              An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.

              A method to correlate the uninterpreted tandem mass spectra of peptides produced under low energy (10-50 eV) collision conditions with amino acid sequences in the Genpept database has been developed. In this method the protein database is searched to identify linear amino acid sequences within a mass tolerance of ±1 u of the precursor ion molecular weight A cross-correlation function is then used to provide a measurement of similarity between the mass-to-charge ratios for the fragment ions predicted from amino acid sequences obtained from the database and the fragment ions observed in the tandem mass spectrum. In general, a difference greater than 0.1 between the normalized cross-correlation functions of the first- and second-ranked search results indicates a successful match between sequence and spectrum. Searches of species-specific protein databases with tandem mass spectra acquired from peptides obtained from the enzymatically digested total proteins of E. coli and S. cerevisiae cells allowed matching of the spectra to amino acid sequences within proteins of these organisms. The approach described in this manuscript provides a convenient method to interpret tandem mass spectra with known sequences in a protein database.
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                Author and article information

                Contributors
                ruth.luthi-carter@acimmune.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 September 2024
                18 September 2024
                2024
                : 14
                : 21837
                Affiliations
                [1 ]AC Immune, SA (ACIU), ( https://ror.org/00e8cky09) EPFL Innovation Park Building B, 1015 Lausanne, Switzerland
                [2 ]International Centre for Genetic Engineering and Biotechnology, ( https://ror.org/043bgf219) Padriciano 99, 34149 Trieste, Italy
                [3 ]Massachusetts General Hospital Department of Neurology, ( https://ror.org/002pd6e78) 114 16th Street, Charlestown, MA 02129 USA
                [4 ]Massachusetts Alzheimer’s Disease Research Center (ADRC), 114 16th Street, Charlestown, MA 02129 USA
                [5 ]MassGeneral Institute for Neurodegenerative Disease, 114 16th Street, Charlestown, MA 02129 USA
                [6 ]Sean M. Healey and AMG Center for ALS at MassGeneral, Massachusetts General Hospital, ( https://ror.org/002pd6e78) 165 Cambridge Street, Boston, MA 02114 USA
                [7 ]Department of Translational Neuroscience, Barrow Neurological Institute, ( https://ror.org/01fwrsq33) 350 W. Thomas Road, Phoenix, AZ 85013 USA
                [8 ]Kansas City University, ( https://ror.org/052em3f88) 1750 Independence Ave, Kansas City, MO 64106 USA
                [9 ]Dipartimento di Medicina Trasfusionale Giuliano-Isontina, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), Trieste, Italy
                [10 ]Neurological Clinical Research Institute, 165 Cambridge Street, Boston, MA 02114 USA
                [11 ]GRID grid.418767.b, ISNI 0000 0004 0599 8842, Present Address: Eisai US, ; 35 Cambridgepark Drive, Cambridge, MA 02140 USA
                [12 ]GRID grid.418412.a, ISNI 0000 0001 1312 9717, Present Address: Boehringer Ingelheim Vetmedica, ; St Joseph, MO 64503 USA
                [13 ]Present Address: Department of Physiology, Anatomy and Genetics and Kavli Institute for Nanoscience Discovery, University of Oxford, ( https://ror.org/052gg0110) Oxford, OX13QU UK
                Article
                70822
                10.1038/s41598-024-70822-8
                11410945
                39294194
                f91995b1-c3ca-44bc-bbb4-cbbd04db3d50
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

                History
                : 24 October 2023
                : 21 August 2024
                Funding
                Funded by: Target ALS Foundation
                Award ID: BB-2022-C5
                Award ID: Industry-Led Consortium Project Grant
                Funded by: NOSRESCUEALS
                Funded by: alsfindingacure
                Categories
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                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                drug discovery,neuroscience,physiology,biomarkers,neurology,pathogenesis
                Uncategorized
                drug discovery, neuroscience, physiology, biomarkers, neurology, pathogenesis

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