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Table · dataset · 2026

Cystatin-B Degradome Foundation Atlas

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<p dir="ltr">This Figshare repository hosts the <b>Cystatin-B Degradome Foundation Atlas (Version 1)</b>, a comprehensive <i>in silico</i> reconstruction of the theoretical peptide landscape generated through the proteolytic cleavage of human cystatin B (CSTB).</p><p dir="ltr">Designed as an open-access reference resource for researchers in <b>proteomics, degradomics, mass spectrometry, and biomarker discovery</b>, this dataset systematically maps the potential fragment landscape of cystatin B. Rather than treating cystatin B as a single static protein, the atlas adopts a degradome-centred perspective in which protein turnover and proteolytic processing generate dynamic populations of peptide fragments.</p><p dir="ltr">Cystatin B is an intracellular cysteine protease inhibitor involved in the regulation of proteolytic activity and cellular homeostasis.

It has attracted particular interest in neurological research, including studies of neuronal function, neurodegeneration, and progressive myoclonus epilepsy type 1 (EPM1), a disorder associated with pathogenic variants in the CSTB gene. Characterizing the proteolytic fragment landscape of cystatin B may therefore provide valuable insights into disease-associated protein processing, proteostasis, and the development of peptide-based biomarkers.</p><h3 dir="ltr">Key Features of the Proteomics Dataset</h3><p dir="ltr">Using predicted enzymatic and chemical cleavage sites, the atlas systematically generates and annotates the possible cystatin B peptide fragments.

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Each fragment is characterized using physicochemical features relevant to mass spectrometry, proteomics, and computational peptide analysis.</p><p dir="ltr"><b>Mass Spectrometry and Peptide Metrics:</b></p><ul><li>Molecular weight</li><li>Mass-to-charge ratio (m/z)</li><li>Net charge</li><li>Isoelectric point (pI)</li></ul><p dir="ltr"><b>Biochemical and Biophysical Features:</b></p><ul><li>Hydrophobicity</li><li>Boman index</li><li>Instability index</li><li>Aliphatic index</li></ul><p dir="ltr">Together, these annotations provide a feature-rich computational reference for exploring the detectability, physicochemical behaviour, and potential analytical relevance of cystatin B-derived peptides.</p><h3 dir="ltr">Applications in Neurobiology, Biomarker Discovery, and Biomedical Research</h3><p dir="ltr">The Cystatin B Degradome Foundation Atlas can support a broad range of experimental and computational applications, including:</p><ul><li><b>Targeted Proteomics:</b> Identification and prioritization of candidate peptides for SRM/MRM and PRM mass-spectrometry assays.</li><li><b>Biomarker Discovery:</b> Exploration of cystatin B-derived peptide candidates associated with neurological disease, neurodegeneration, progressive myoclonus epilepsy, and altered proteostasis.</li><li><b>Discovery Proteomics:</b> Interpretation and annotation of cystatin B-derived signals detected in MS/MS datasets.</li><li><b>Degradomics:</b> Investigation of potential proteolytic processing patterns and fragment populations.</li><li><b>Neurobiology:</b> Computational exploration of cystatin B processing in neuronal function, cellular homeostasis, and disease-associated pathways.</li><li><b>Computational Biology:</b> Generation of reference features for peptide-level modelling, degradome analysis, and machine-learning applications.</li><li><b>Assay Development:</b> Prioritization of candidate cystatin B peptides for future experimental validation.</li></ul><h3 dir="ltr">Data Inclusion and Reproducibility</h3><p dir="ltr">The atlas provides a systematic computational representation of the <b>wild-type cystatin B degradome</b>, including the complete set of theoretically generated contiguous peptide fragments and their calculated physicochemical properties.</p><p dir="ltr">Importantly, this Foundation Atlas represents a <b>theoretical fragment space rather than a catalogue of experimentally confirmed cystatin B peptides</b>.

Experimental proteomic and mass-spectrometry studies will be required to establish which predicted fragments are generated and detectable under physiological or disease-associated conditions.</p><p dir="ltr">Future releases will expand the resource through the incorporation of additional cystatin B variants, disease-associated mutations, experimentally validated cleavage products, and complementary experimental proteomics data.</p>

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Disease 75% · Mass spectrometry 75% · Proteomics and metabolomics 75%
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