2026-06-18T10:20:31Z https://api.figshare.com/v2/oai
oai:figshare.com:article/30200005 2025-09-24T16:49:30Z category_24196 category_24205 category_24208 category_24160 category_25258 category_25195 category_29755 portal_549 item_type_3 month_year_09_2025
10.5522/04/30200005.v1 https://figshare.com/articles/dataset/Huntingtin_Degradome_Foundation_Atlas/30200005 https://ndownloader.figshare.com/files/58213321 https://ndownloader.figshare.com/files/58213324 https://ndownloader.figshare.com/files/58213327 https://ndownloader.figshare.com/files/58213504 Petzold, Axel Axel Petzold 0000-0002-0344-9749 <![CDATA[Huntingtin Degradome Foundation Atlas]]> Proteomics and metabolomics Translational and applied bioinformatics Bioinformatics and computational biology not elsewhere classified Proteomics and intermolecular interactions (excl. medical proteomics) Computational chemistry Proteins and peptides Biological mathematics Huntingtin Huntingtin Polyglutamine-Dependent Protein Aggregation huntingtin interacting proteins Degradome 2025-09-24 2025-09-24 Dataset 2025 University College London Huntingtin Degradome Foundation Atlas

This open-access dataset introduces Version 1 of the Huntingtin Degradome Foundation Atlas, a curated proteolytic peptide resource designed to accelerate translational research in neurodegeneration.

The atlas integrates proteolytic fragments from Huntingtin wild-type (WT), Q75, and Q103 isoforms, capturing the impact of polyglutamine repeat expansions that drive Huntington disease (HD) pathology. By mapping and annotating these breakdown products, the dataset provides a framework for tracking disease-relevant proteolysis.

These data are particularly relevant for clinical researchers engaged in antisense oligonucleotide (ASO) trials or biomarker-guided therapeutic development. The atlas allows cross-referencing of peptide signatures with treatment response, supporting biomarker discovery, stratification, and outcome validation in HD studies.

Each peptide entry is annotated with detailed chemical features of its proteolytic origin. The dataset is delivered as a comma-delimited ASCII (.csv) file for integration into bioinformatics and statistical pipelines. For efficient distribution, it is provided in compressed format, which can be extracted using:

tar -xvJf Huntingtin_WT_Degradome_Foundation_Atlas_v1.tar.gz

Reproducibility
All datasets can be regenerated using open-source tools (Python, BLAST, SAS). Fully documented Python scripts are included in the repository to ensure transparency and adaptability to local environments, following the methodology described in [1].


Reference
[1] Petzold A. Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome. J Neurochem. 2025 Mar;169(3):e70023. doi: 10.1111/jnc.70023. PMID: 40066701; PMCID: PMC11894590.


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