Mass spectrometry-based proteomics and advanced bioanalytical strategies provide deep molecular insights into complex biological systems. By establishing high-sensitivity sample preparation protocols, solid-phase extraction tips, and nano-LC separation workflows, our research group focuses on overcoming analytical barriers in multi-omics profiling.

Our work centers on designing robust chromatographic separations, optimizing ionization efficiencies, and developing high-throughput fractionation methods to dissect cellular proteomes and glycomes with exceptional precision.

Structural glycomics examines the immense structural diversity of complex carbohydrates and glycans released from glycoproteins. Because over 70% of functional proteins undergo glycosylation, profiling glycan microheterogeneity is essential for understanding cellular communication, immune response, and pathological alterations.

Our structural workflows employ multi-stage tandem mass spectrometry (MS/MS), hydrophilic interaction liquid chromatography (HILIC), and fluorescence detection to map glycan branching, linkage specificities, and isomeric conformations.

Clinical glycoproteomics bridges the gap between molecular glycan alterations and clinical diagnostics. By analyzing intact glycopeptides from human plasma, serum, and tissue biopsies, we investigate disease-specific protein glycosylation signatures associated with oncological, inflammatory, and metabolic conditions.

This approach enables the discovery of novel non-invasive clinical biomarkers, helping to monitor disease progression, evaluate therapeutic responses, and facilitate earlier detection paradigms.

Biotherapeutic characterization focuses on the rigorous quality control and structural analysis of recombinant monoclonal antibodies, fusion proteins, and vaccines. Post-translational modifications, particularly glycosylation profiles, heavily dictate pharmacokinetic behavior, efficacy, and immunogenicity.

Our analytical pipelines provide comprehensive site-specific glycosylation mapping, charge variant analysis, and peptide mapping to ensure pharmaceutical compliance and batch-to-batch consistency.

The integration of bioinformatics and machine learning with mass spectrometry data has revolutionized glyco-analytics. High-dimensional spectral datasets generated from clinical glycomics require advanced computational algorithms for automated peak annotation, feature selection, and classification.

We develop predictive machine learning models to decode disease signatures, classify biological cohorts, and accelerate automated structural elucidation of complex glycans.

Food and agricultural analytics applies omics strategies to evaluate the biochemical composition, authenticity, and nutritional quality of dairy products, functional foods, and agricultural matrices.

By profiling milk whey proteins, bioactive oligosaccharides, and fermentation dynamics using high-resolution mass spectrometry, our group contributes to the advancement of next-generation functional foods and quality authentication protocols.