<b>Myelin oligodendrocyte glycoprotein (MOG) Degradome Foundation Atlas</b>

<p dir="ltr">This open-access and freely downloadable dataset presents Version 1 of the Myelin Oligodendrocyte Glycoprotein (MOG) Degradome Foundation Atlas. This is the first comprehensive proteolytic MOG peptide atlas designed to support translational, clinical, and biomarker research in demyelinating and neurodegenerative diseases.<br>The dataset (<code>MOG_Degradome_Foundation_Atlas_v1.tar.gz</code>) integrates the entire proteolytic reperatoire into a single unified resource, applying high-level compression to improve usability, speed of download, and reproducibility.</p><h3>Key Features</h3><ul><li>Complete degradome profiling of MOG, including wild type, mutant, and isoform-specific proteolytic fragments.</li><li>Inclusion of the Valine → Isoleucine substitution at position 145 of the mature MOG protein (= position 185 in the full peptide sequence) [1].</li><li>Structured and standardized nomenclature to support automated processing and statistical analysis.</li></ul><p dir="ltr">Examples of nomenclature:</p><ul><li><code>MOG-v145i-mature-7-81</code> → mutant peptide (mature)</li><li><code>MOG-v185i-7-40</code> → mutant peptide (full length)</li><li><code>MOG-wt-mature-1-9</code> → wild type (mature)</li><li><code>MOG-wt-1-9</code> → wild type (full length)</li></ul><p dir="ltr">This naming convention ensures instant interpretability, enabling researchers to rapidly filter, stratify, and statistically analyze peptides based on mutation type and cleavage positions.</p><h3>Data Format and Access</h3><ul><li>Provided as a tab-delimited ASCII (.txt) file, which can easily be imported into R, Python, SAS, Excel, or any bioinformatics pipeline.</li><li>Distributed as a compressed tarball for efficient transfer.</li><li>To extract, use: tar -xvJf MOG_Degradome_Foundation_Atlas_v1.tar.gz</li><li>Fully FAIR-compliant (Findable, Accessible, Interoperable, Reusable) and citable via DOI.</li></ul><h3>Reproducibility and Code Availability</h3><p dir="ltr">Dataset generation is fully reproducible using open-source tools:</p><ul><li>Python</li><li>SAS</li></ul><p dir="ltr">All required scripts are included in the repository and are well documented to support local replication and custom adaptations. The computational workflow follows the methodology described in [2].</p><h3>Applications</h3><ul><li>Biomarker discovery and validation in demyelinating diseases.</li><li>Proteolytic cleavage pattern analysis of MOG isoforms and mutations.</li><li>Diagnostic and therapeutic monitoring assay development.</li><li>Integration into proteomic pipelines and machine learning workflows.</li></ul><h3>References</h3><p dir="ltr">[1] Rodriguez D, Della Gaspera B, Zalc B, Hauw J-J, Fontaine B, Edan G, Clanets M, Dautigny A, Pham-Dinh D.<br><i>Identification of a Val 145 Ile substitution in the human myelin oligodendrocyte glycoprotein: lack of association with multiple sclerosis.</i> 1997.</p><p dir="ltr">[2] Petzold A. <i>Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome.</i><br>J Neurochem. 2025 Mar;169(3):e70023. doi: 10.1111/jnc.70023. PMID: 40066701; PMCID: PMC11894590.</p>