Glycomics Approach
Glycomics Approach - Related Videos
11:36
Glycan Node Analysis: A Bottom-up Approach to Glycomics
0 Views •
Cited by 16 •
2016
This article presents an enhanced form of a novel bottom-up glycomics technique designed to analyze the pooled compositional profile of glycans in unfractionated biofluids through the chemical breakdown of glycans into their constituent linkage-specific monosaccharides for detection by GC-MS. Potential applications include early detection of cancer and other glycan-affective disorders.
11:38
A Quantitative Glycomics and Proteomics Combined Purification Strategy
0 Views •
Cited by 18 •
2016
A high-throughput protocol was developed for combined proteomics and glycomics purification and LC-MS/MS quantification in plasma. Deamidation analysis of N-linked glycosylation motifs was specific to deglycosylated sites. Accurate quantitation of N-glycans was achieved by coupling filter aided N-glycan separation to the individuality normalization when labeling with glycan hydrazide tags strategy.
08:52
Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
0 Views •
Cited by 1 •
2025
This protocol details the key steps to enable rigorous and reproducible measurement of both glycogen and N-linked glycans using mass spectrometry imaging.
13:06
Improved In-gel Reductive β-Elimination for Comprehensive O-linked and Sulfo-glycomics by Mass Spectrometry
0 Views •
Cited by 6 •
2014
In order to comprehensively explore the diversity of O-linked glycans, a new procedure for in-gel reductive β-elimination, combined with permethylation and a rapid phase-partition method, is applied to the analysis of O-linked glycans directly released from glycoproteins resolved by SDS-PAGE and amenable to subsequent glycomic analysis by mass spectrometry.
10:59
Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments
0 Views •
Cited by 4 •
2025
This protocol details the glycomics-guided glycoproteomics method, an integrated omics technology that offers comprehensive insights into the heterogeneous glycoproteome in complex tumor microenvironments required to better understand the glycobiology of cancers.
FAQs
Structural assignments rely on complementary evidence rather than a single measurement. Mass spectrometry indicates which monosaccharides contribute to a glycan and, through fragmentation patterns, provides clues about connectivity. Chromatographic retention behavior adds separation-based information, helping distinguish linkage, branching, and isomeric structures. Together, these signals convert analytical measurements into a more detailed structural description.
Chemical labeling is one component of an integrated analytical workflow that also includes chromatography and mass spectrometry. Its measurements are interpreted alongside retention behavior and fragmentation patterns, allowing structural features to be assessed from multiple types of evidence. This combination is important because glycans with similar composition may still differ in linkage, branching, or isomeric arrangement.
Glycan release or enzymatic digestion provides an upstream way to make glycans available for subsequent analysis. After preparation, chemical labeling, chromatographic separation, and mass spectrometric examination can be applied to the resulting material. This sequence supports characterization of glycans associated with glycoproteins and glycolipids and creates a consistent basis for comparing their structural profiles.
A practical workflow begins with glycan release or enzymatic digestion, followed by chemical labeling and chromatographic separation. The separated material is then examined by mass spectrometry, including fragmentation analysis. Retention behavior and fragment patterns are interpreted together to assess composition, linkage, branching, and possible isomeric differences. This staged approach connects sample preparation with structural characterization.
Comparing glycan profiles reveals whether samples differ in their associated carbohydrate structures. Differences can be evaluated through measured composition and the structural information provided by retention behavior and fragmentation. This makes the approach useful for examining disease-related changes and for relating altered glycan patterns to broader biological investigations involving glycoproteins, glycolipids, or free glycans.
In chemistry, the approach connects molecular structure with function by examining how carbohydrate features may influence molecular recognition and signaling. It also supports studies of disease-related glycan changes, where profile comparisons can identify patterns for further investigation. The resulting structural information provides a foundation for developing glycan-based biomarkers and identifying potential therapeutic targets.