Superoxide dismutase (SOD1) Degradome Foundation Atlas

This open-access dataset presents Version 1 of the SOD1 Degradome Foundation Atlas, a comprehensive proteolytic peptide resource designed to advance mechanistic, translational, and biomarker research in amyotrophic lateral sclerosis (ALS) and related neurodegenerative diseases.The atlas systematically enumerates and annotates all theoretically possible proteolytic fragments derived from SOD1, a central molecular driver of familial ALS. Rather than treating SOD1 as a single static enzyme, this resource captures SOD1 as a dynamic ensemble of peptide fragments generated through regulated proteolysis, protein turnover, and disease-associated processing. This fragment-centric perspective reflects growing evidence that SOD1 toxicity, aggregation, neuroinflammation, and therapeutic responsiveness are mediated at the peptide level.Version 1 includes wild-type SOD1 and selected pathogenic variants associated with intracellular aggregation and neurotoxicity. Each peptide entry is annotated with detailed biochemical and biophysical properties, enabling direct integration with mass-spectrometry pipelines, biomarker discovery workflows, autoantibody profiling, and computational modelling approaches. The dataset supports cross-comparison with other biomarker degradomes, including neurofilament and RNA-binding protein atlases, facilitating systems-level analyses of neurodegeneration.The SOD1 Degradome Foundation Atlas is particularly relevant for researchers investigating ALS pathogenesis, protein aggregation, neuroinflammation, and therapeutic strategies targeting SOD1 expression or processing, including antisense oligonucleotide approaches. By providing a structured, peptide-level reference framework, the atlas supports hypothesis generation, experimental validation, and translational discovery.All data are supplied in standardised, analysis-ready formats for seamless use in bioinformatics and statistical environments.ReproducibilityAll datasets are fully reproducible using open-source Python workflows provided in the repository. The computational pipeline is transparent, documented, and readily adaptable for future updates, including the addition of newly identified SOD1 cleavage sites, isoforms, and disease-associated mutations, following the degradome methodology described in [1].Reference[1] Petzold A. Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome. Journal of Neurochemistry. 2025;169:e70023. doi:10.1111/jnc.70023. PMID: 40066701; PMCID: PMC11894590.