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Myelin oligodendrocyte glycoprotein (MOG) Degradome Foundation Atlas

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Figshare2025-10-13 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_b_Myelin_oligodendrocyte_glycoprotein_MOG_Degradome_Foundation_Atlas_b_/30336409
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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.The dataset (MOG_Degradome_Foundation_Atlas_v1.tar.gz) 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:MOG-v145i-mature-7-81 → mutant peptide (mature)MOG-v185i-7-40 → mutant peptide (full length)MOG-wt-mature-1-9 → wild type (mature)MOG-wt-1-9 → 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.Identification of a Val 145 Ile substitution in the human myelin oligodendrocyte glycoprotein: lack of association with multiple sclerosis. 1997.[2] 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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2025-10-13
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