Advances in Mass Spectrometry-Based Proteomics: From Biomarker Discovery to Translational Applications
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Biochemistry".
Deadline for manuscript submissions: 20 January 2026 | Viewed by 808
Special Issue Editor
Special Issue Information
Dear Colleagues,
Proteomics and mass spectrometry-based approaches have revolutionized biomolecular analysis, enabling high-throughput identification and quantification of proteins, post-translational modifications (PTMs), and biomarkers for various diseases. With the emergence of next-generation mass spectrometry techniques, bioinformatics tools, and multi-omics integration, researchers can now gain deeper insight into disease mechanisms, protein interactions, and therapeutic targets. This Special Issue aims to bring together cutting-edge research on quantitative proteomics, glycoproteomics, phosphoproteomics, and emerging mass spectrometry workflows, with a particular focus on biomedical and clinical applications. We welcome original research and reviews that highlight advances in the following areas:
✔ Innovative Mass Spectrometry Techniques: DIA-MS, TIMS-MS, FAIMS, and ion mobility spectrometry;
✔ Quantitative Proteomics and PTMs: SILAC, TMT, iTRAQ, phosphoproteomics, and ubiquitinomics;
✔ Glycoproteomics and Glycomics: Site-specific glycosylation, lectin-based enrichment, and glycan profiling;
✔ Biomarker Discovery and Translational Applications: Cancer proteomics, neuroproteomics, and immunopeptidomics;
✔ Advancements in Data Analysis and Computational Tools: MaxQuant, Proteome Discoverer, Spectronaut, and machine learning in proteomics.
This Special Issue is intended for biochemists, analytical chemists, molecular biologists, and clinical researchers working at the interface of proteomics and disease research. We encourage interdisciplinary contributions that push the boundaries of biomedical mass spectrometry and its role in advancing precision medicine.
Dr. Yanlong Ji
Guest Editor
Manuscript Submission Information
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Keywords
- mass spectrometry
- LC-MS method development
- phosphoproteomics
- glycoproteomics
- biomarker discovery
- multi-omics data integration
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