Table · dataset · 2026
Cystatin-C Degradome Foundation Atlas
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Description
<p dir="ltr">This Figshare repository hosts the <b>Cystatin-C 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 C (CST3).</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 C. Rather than treating cystatin C 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 C is a secreted cysteine protease inhibitor involved in the regulation of proteolytic activity and tissue homeostasis.
It is an established clinical biomarker of kidney function and has also attracted interest in neurological disease, neurodegeneration, inflammation, and extracellular proteostasis. Characterizing its proteolytic fragment landscape may therefore provide valuable insights into disease-associated protein processing 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 C 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 C-derived peptides.</p><h3 dir="ltr">Applications in Biomarker Discovery and Biomedical Research</h3><p dir="ltr">The Cystatin C 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 mass-spectrometry assays.</li><li><b>Biomarker Discovery:</b> Exploration of cystatin C-derived peptide candidates associated with neurological disease, neurodegeneration, inflammation, kidney dysfunction, and altered proteostasis.</li><li><b>Discovery Proteomics:</b> Interpretation and annotation of cystatin C-derived signals detected in mass-spectrometry datasets.</li><li><b>Degradomics:</b> Investigation of potential proteolytic processing patterns and fragment populations.</li><li><b>Clinical Proteomics:</b> Computational exploration of cystatin C processing in biological fluids and disease-associated conditions.</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 C 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 C 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 C 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 C variants, experimentally validated cleavage products, and complementary experimental proteomics data.</p>
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Where it is published
- DOI doi.org/10.5522/04/33653284.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
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Topics
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- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Disease 75% · Mass spectrometry 75% · Proteomics and metabolomics 76%
Provenance · 1 source records, 19 field assertions
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