2026-05-06T00:28:35Z https://api.figshare.com/v2/oai
oai:figshare.com:article/30264673 2025-11-17T10:25:25Z category_24136 category_24208 category_25258 category_26860 category_27241 portal_549 item_type_3 month_year_11_2025
10.5522/04/30264673.v1 https://figshare.com/articles/dataset/_b_Tau_Degradome_Foundation_Atlas_b_/30264673 https://ndownloader.figshare.com/files/58449655 https://ndownloader.figshare.com/files/58450612 https://ndownloader.figshare.com/files/58450861 https://ndownloader.figshare.com/files/58450882 https://ndownloader.figshare.com/files/58450906 https://ndownloader.figshare.com/files/58450909 https://ndownloader.figshare.com/files/58451212 https://ndownloader.figshare.com/files/59613143 Petzold, Axel Axel Petzold 0000-0002-0344-9749 <![CDATA[<b>Tau Degradome Foundation Atlas</b>]]> Analytical biochemistry Bioinformatics and computational biology not elsewhere classified Computational chemistry Other engineering not elsewhere classified Other health sciences not elsewhere classified tau AD biomarkers tau protein P10636 Neurodegeneration degradome proteome 2025-11-17 2025-11-17 Dataset 2025 University College London The Tau Degradome Foundation Atlas (Version 1) is an open-access, curated resource of proteolytic peptides derived from tau protein isoforms relevant to neurodegeneration research. The dataset includes:

  • Wild-type tau (UniProt ID: P10636)
  • BigTau [1]
  • Low molecular weight (lmw) tau [1]
  • Tau_4A [1]

This atlas provides a comprehensive reference of proteolytic cleavage products of tau, annotated with chemical and biophysical features to support biomarker discovery, assay development, and translational neuroscience research [1].

Key Features

  • Unique BigTau peptides are flagged (unique_BigTau=1) to aid in the identification of novel BigTau-specific biomarkers.
  • Thermodynamic stability is predicted for each peptide, with stable candidates labelled (stable=1), highlighting their suitability for biomarker assay development.
  • Hydrophobicity and charge values are provided to guide selection of peptides with favourable solubility profiles [2].
  • Proteolytic origin is annotated for every peptide, including cleavage site information.
  • Data format: All peptide annotations are provided as comma-delimited ASCII .csv files.
  • Convenience files: Unique BigTau peptides are also provided separately as a compressed file (BigTau-unique.csv).
  • Compression format: Datasets are distributed in .tar.gz format and can be extracted with:
tar -xvzf FILENAME.tar.gz

Reproducibility and Methods
All datasets can be fully regenerated using open-source software tools, including Python and SAS. To ensure transparency and reproducibility, the repository includes complete Python and SAS scripts with documentation, following the methodology described in [2].

Applications
  • Identification of tau-derived peptides for neurodegeneration biomarker discovery.
  • Development of chemically stable and water-soluble assay targets.
  • Exploration of the proteolytic landscape of tau isoforms for translational neuroscience.
References
[1] Fischer I. Considering Big tau as a novel and specific biomarker for spinal motor neuron pathology. Neurobiol Dis. 2025 Sep 23;216:107118. doi: 10.1016/j.nbd.2025.107118
[2] Petzold A. Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome. J Neurochem. 2025 Mar;169(3):e70023. doi: 10.1111/jnc.70023
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