Proteomics

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Novel Peptidomic Analysis Identifies Peptide Clusters with Potential for Disease Diagnosis and Dysregulated Proteolytic Processing


ABSTRACT: Mass spectrometry-based peptidomics provides a comprehensive approach to delineate the global proteolytic landscape of diseases and to identify potential biomarkers. However, current data analysis methods struggle to distill the peptidomic signatures of diseases. In this study, we conducted a peptidomic analysis of plasma from individuals with β-thalassemia. By applying the amino acid score method and its tailored data visualization techniques, a clear profile of protein degradation emerged from the redundant data. Notably, the introduction of heavy labeled peptides or reference samples in targeted quantitative peptidomics led to the first proposal of peptide cluster-based potential diagnostic biomarkers of β-thalassemia. In conjunction with proteomics, the disease characteristics of molecular networks composed of peptides, proteases, and proteins were revealed, highlighting the importance of integrating peptidomics and proteomics technologies.

ORGANISM(S): Homo Sapiens

SUBMITTER: Fuquan Yang  

PROVIDER: PXD062496 | iProX | Wed Apr 02 00:00:00 BST 2025

REPOSITORIES: iProX

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Publications

Single-Position Peptide Clustering for Peptidomics Reveals Novel Disease Biomarkers and Dysregulated Proteolytic Characteristics.

Li Na N   Zhu Yaxin Y   Yan Yumeng Y   Wang Jifeng J   Niu Lili L   Ding Xiang X   Zhang Mengmeng M   Xie Zhensheng Z   Cai Tanxi T   Guo Xiaojing X   Luo Jianming J   An Peng P   Guo Xiangqian X   Yang Fuquan F  

Advanced science (Weinheim, Baden-Wurttemberg, Germany) 20251118 5


Mass spectrometry-based peptidomics provides a comprehensive platform for mapping global proteolytic alterations and identifying disease biomarkers. However, existing analytical frameworks often lack the precision to capture disease-specific signatures. Here, a single-position peptide clustering strategy is introduced, leveraging the amino acid score (aa-score) method, and applying it to plasma peptidomics in β-thalassemia. By integrating grouped aa-scores with tailored visualization, a clear an  ...[more]

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