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Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments
Published on: February 7, 2025
929
Biomarker Discovery via N-Glycoproteomics
Rajesh Kumar1, Abhishek Kumar2,3
1Serox GmbH, Mannheim, Germany. rajesh.mukesh.naga@gmail.com.
Methods in Molecular Biology (Clifton, N.J.)
|October 22, 2024
Summary
Investigating N-linked glycosylation, a key protein modification, aids in understanding cell regulation and disease. Mass spectrometry-based proteomics can identify aberrant N-linked glycopeptides as novel cancer biomarkers for early clinical detection.
Area of Science:
- Molecular Biology
- Biochemistry
- Proteomics
Background:
- Posttranslational modifications (PTMs) are vital for protein function and cellular regulation.
- N-linked glycosylation, a complex PTM, influences critical cellular processes including protein folding, trafficking, and signaling.
- Aberrations in N-linked glycosylation sites are linked to human genetic diseases, notably cancer.
Purpose of the Study:
- To explore the potential of mass spectrometry (MS)-based proteomics for identifying novel cancer biomarkers.
- To describe methods for selectively identifying aberrant N-linked glycopeptides.
- To advance the discovery and clinical application of tumor markers.
Main Methods:
- Utilizing high-throughput quantitative proteome profiling tools.
- Employing mass spectrometry (MS)-based proteomics for glycopeptide analysis.
- Implementing Solid-phase extraction of N-glycopeptides (SPEG) for selective enrichment.
Main Results:
- Demonstrated the capacity of MS-based proteomics to identify aberrant N-linked glycopeptides.
- Highlighted the potential of these glycopeptides as single tumor markers.
- Proposed hypotheses for revolutionizing biomarker discovery and clinical translation.
Conclusions:
- Aberrant N-linked glycopeptides can be selectively identified using MS-based proteomics.
- This approach holds significant promise for discovering novel cancer biomarkers.
- The findings could accelerate the clinical implementation of new diagnostic and prognostic tools.

