Glycome Mapping
Glycome Mapping - Related Videos
08:52
Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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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.
11:38
A Quantitative Glycomics and Proteomics Combined Purification Strategy
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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.
11:36
Glycan Node Analysis: A Bottom-up Approach to Glycomics
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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.
06:58
Fate Mapping
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2023
Fate mapping is a technique used to understand how embryonic cells divide, differentiate, and migrate during development. In classic fate mapping experiments, cells in different areas of an embryo are labeled with a chemical dye and then tracked to determine which tissues or structures they form. Technological improvements now allow for individual cells to be marked and traced throughout embryonic development and adulthood. This video reviews the concepts behind fate mapping, and then details a...
11:03
Motor Maps
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California One principle of brain organization is the topographic mapping of information. Especially in sensory and motor cortices, adjacent regions of the brain tend to represent information from adjacent parts of the body, resulting in maps of the body expressed on the surface of the brain. The primary sensory and motor maps in the brain surround a prominent sulcus known as the central sulcus. The cortex...
FAQs
Glycan structure depends on more than monosaccharide composition. Branching patterns and glycosidic linkages create distinct molecular forms that may not be represented adequately by abundance measurements alone. Recording these structural features allows researchers to compare glycan profiles more meaningfully across cells, tissues, or organisms and to investigate how structural variation relates to signaling, disease, development, or environmental conditions.
Branching and variable monosaccharide composition produce a highly diverse set of carbohydrate structures. This diversity makes structural characterization more demanding because researchers must consider both the components present and how they are connected. Consequently, glycome analysis combines separation methods with mass measurements and complementary structural tests to distinguish related glycans and build a more informative molecular profile.
Chromatography or electrophoresis separates released or enriched glycans before identification, while mass spectrometry provides molecular mass and structural information. Glycan arrays offer an additional analytical route, and enzymatic analyses complement instrumental measurements. Using these approaches together helps characterize composition and structural features more completely than relying on a single measurement technique.
A typical workflow begins by releasing or enriching glycans from the selected cell, tissue, or organism. The resulting molecules are then separated by chromatography or electrophoresis. Researchers identify their masses and structural features using mass spectrometry, glycan arrays, or complementary enzymatic analyses. The combined results are cataloged to support comparisons among biological samples or conditions.
Researchers can compare glycan profiles produced under different biological or environmental states. Differences in the cataloged structures may show that glycosylation changes with development, disease, cellular signaling, or external conditions. These comparisons connect molecular changes with broader biochemical processes and can identify glycan patterns that merit further study as indicators of altered cellular states.
In biochemistry, glycome mapping supports the study of biomolecular interactions, biomarker discovery, therapeutic development, and host-pathogen relationships. Characterizing glycan changes can help researchers examine how carbohydrate structures participate in biological recognition and signaling. Comparing profiles across relevant samples also provides a basis for identifying disease-associated patterns or investigating interactions between organisms and infectious agents.