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

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.Key FeaturesComplete degradome profiling of MOG, including wild type, mutant, and isoform-specific proteolytic fragments.Inclusion of the Valine → Isoleucine substitution at position 145 of the mature MOG protein (= position 185 in the full peptide sequence) [1].Structured and standardized nomenclature to support automated processing and statistical analysis.Examples of nomenclature:<code>MOG-v145i-mature-7-81</code> → mutant peptide (mature)<code>MOG-v185i-7-40</code> → mutant peptide (full length)<code>MOG-wt-mature-1-9</code> → wild type (mature)<code>MOG-wt-1-9</code> → wild type (full length)This naming convention ensures instant interpretability, enabling researchers to rapidly filter, stratify, and statistically analyze peptides based on mutation type and cleavage positions.Data Format and AccessProvided as a tab-delimited ASCII (.txt) file, which can easily be imported into R, Python, SAS, Excel, or any bioinformatics pipeline.Distributed as a compressed tarball for efficient transfer.To extract, use: tar -xvJf MOG_Degradome_Foundation_Atlas_v1.tar.gzFully FAIR-compliant (Findable, Accessible, Interoperable, Reusable) and citable via DOI.Reproducibility and Code AvailabilityDataset generation is fully reproducible using open-source tools:PythonSASAll 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].ApplicationsBiomarker discovery and validation in demyelinating diseases.Proteolytic cleavage pattern analysis of MOG isoforms and mutations.Diagnostic and therapeutic monitoring assay development.Integration into proteomic pipelines and machine learning workflows.References[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.[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.