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Galpα1,3-[U-13C6]Galpβ1,4GlcNAcitol

General Information
Catalog: BLP-013347
Molecular Formula: C14[13C]6H37NO16
Molecular Weight: 553.46
Chemical Structure
Galpα1,3-[U-13C6]Galpβ1,4GlcNAcitol
Synonyms Galp-alpha-1,3-[UL-13C6]Galp-beta-1,4-GlcNAcitol; Galp-a3-[U-13C6]Galp-b4-GlcNAcitol; Gal(a3)[UL-13C6]Gal(b4)GlcNAcitol

Galpα1,3-[U-13C6]Galpβ1,4GlcNAcitol, a specialized labeled glycan, finds diverse applications in research and diagnostics. Below are the key applications of Galpα1,3-[U-13C6]Galpβ1,4GlcNAcitol:

Glycan Structure Analysis: Utilizing mass spectrometry techniques, researchers employ Galpα1,3-[U-13C6]Galpβ1,4GlcNAcitol for in-depth exploration of complex glycan structures. The isotopic labeling facilitates precise identification and quantification of individual glycan components, aiding in the comprehensive understanding of glycosylation patterns and their implications in both health and disease states.

Metabolic Tracing Studies: In metabolic labeling experiments, this unique glycan serves as a crucial tool for tracing glycan pathways and unraveling the intricacies of carbohydrate metabolism. By integrating Galpα1,3-[U-13C6]Galpβ1,4GlcNAcitol into cellular systems, scientists can monitor the dynamic processes of glycan synthesis and degradation, essential for illuminating metabolic disorders and devising innovative strategies for metabolic engineering.

Glycan-Protein Interactions: Galpα1,3-[U-13C6]Galpβ1,4GlcNAcitol plays a pivotal role in elucidating interactions between glycans and glycan-binding proteins, including lectins and antibodies. Through this exploration, researchers can map out glycan-binding sites, unravel the nuances of specificity and affinity in these interactions, and pave the way for designing advanced therapeutic modalities and diagnostic tools targeting glycan-protein interactions.

Biomedical Research: Within the realm of biomedical research, the labeled glycan serves as a valuable asset for investigating the intricate functions of specific glycan structures across diverse biological processes and disease contexts. For instance, it facilitates the study of cancer glycomics and the alterations in glycosylation patterns associated with tumor progression. These findings can potentially unveil novel biomarkers and therapeutic targets, advancing our understanding of disease mechanisms and treatment approaches.

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