Glycans are common molecules in biology and they exhibit higher structural diversity than other biomolecules. The use of databases and tools to Analyze and Predict Glycan Structures is an important aspect of glycobiology. CD BioGlyco utilizes a wide range of bioinformatics techniques for Glycan Data Interpretation, Integration, and Visualization thereby supporting glycobiologists in their in-depth research on glycans.
High-performance liquid chromatography (HPLC) is a high-throughput method for analyzing glycans because of its high sensitivity. Here, we provide glycan HPLC data analysis services as shown below.
The analysis of glycans using HPLC often requires labeling of glycans using fluorescent molecules. Based on this feature, we calibrate the obtained HPLC spectra of glycans against a dextran ladder labeled by fluorescent molecules, match them with glycan databases (assigning possible glycan structures to each HPLC peak), and then analyze the glycan structure and composition in depth.
We provide glycan databases covering a large amount of information, such as functional groups of glycans, biosynthetic pathways of glycans, and structural and chemical information of natural or non-natural glycans, which can be used to interpret, integrate and visualize glycan HPLC data with high accuracy.
Once the HPLC peaks for glycans have been assigned, they can be confirmed by a series of exoglycosidic ribonuclease digests. The database matching process analyzes the structure with high precision based on the exoglycosidase digestion footprint. Thus, sequential digestion of glycans with exoglycosidases can be used to accurately and quantitatively sequence glycans.
In addition, the removal of monosaccharides from the nonreducing results in predictable changes in glycan retention times, thus allowing structure assignment when HPLC analysis is combined with exoglycosidase digestion.
Technology: HPLC
Journal: Scientific Reports
IF: 4.6
Published: 2022
Results: The authors analyzed N-glycan in patients with type II diabetes mellitus (T2DM) using HPLC and analyzed the HPLC data using a multivariate integration technique. This process was successful in identifying associations between different types of N-glycan measurements and N-glycan characteristics and expressing their contributions in patients with type 2 diabetes and healthy populations. Among them, the N-glycan group was significantly expressed in T2DM. Four clusters were observed based on the correlation of the expression profiles of 39 N-glycans in T2DM and controls. These four clusters had 16, 16, 4, and 3 N-glycans, respectively, and univariate analysis revealed that 11, 8, 1, and 1 of them were differentially expressed between controls and patients with type 2 diabetes.
Fig.1 Analysis procedure of N-glycan. (Adua, et al., 2022)
CD BioGlyco has been in the field of glycoinformatics for many years and is committed to providing high-quality and reliable glycoinformatics data analysis. Our glycan HPLC data interpretation, integration, and visualization services provide our clients with the ability to accurately identify and differentiate between different glycan structures, helping them to achieve more in-depth research and innovation. Please feel free to contact us if you are interested in our services, which will add value to your research.
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We envision a future where the intricate world of carbohydrate is no longer shrouded in mystery, but rather illuminated by the power of cutting-edge computational tools.