CD BioGlyco has mastered the world's leading biological and informatics and other technological tools to comprehensively analyze a wide range of Diseases Glycomics. Since changes in serum glycoproteins are correlated with the cancer process, tracking changes in serum glycoproteins can be used to monitor the onset and progression of cancer. Therefore, in Cancer Glycomics Analysis, we utilize glycoinformatics technology to help researchers explore cancer development and find promising cancer biomarkers by comparing glycoproteins in serum.
After we get the serum samples, the serum proteins are separated into two fractions, low-abundance and high-abundance proteins, by acetonitrile precipitation. Then, they are broken down and digested using trypsin and protein endonuclease, and the glycoproteins are efficiently enriched by hydrophilic interaction chromatography (HILIC) before they are used for subsequent analysis.
Firstly, mass spectrometry (MS) data from serum glycoproteins are used to generate a serum glycoproteomics database that combines algorithms and analysis software to analyze and compare serum glycoproteins. At the same time, the database displays features similar to those commonly found in glycoproteomics and is compatible with most search engines.
Secondly, we use orthogonal performance tests to train and optimize the analysis software. For example, in the performance test, we analyze the specific glyco-spectra of serum cuprocyanin (CP), haptoglobin (HP), and immunoglobulin G1 (IgG1), which have been fully characterized, by analyzing the software and optimizing the software based on the accuracy of the results.
Then, we take the serum glycoprotein to be tested and analyze it by MS, enter its fragmentation characteristics in the algorithm software, and run it through a database for rapid data matching and analysis. Different types of glycoproteins in serum display different features. For example, N-linked and O-linked glycoproteins have different chromatographic retention times, glycan mass numbers, or parent ion m/z.
After the analysis of serum glycoproteins is completed, the pivot table tool provided in Excel is used to compare all tested serum glycoprotein parameters. The parameters include glycan composition, protein sequence, modification sites, and changes that occur in the same glycoprotein in different physiological environments, among others.
Technology: Liquid chromatography (LC)-MS/MS
Journal: Nature Methods
IF: 36.1
Published: 2021
Results: In this article, the authors describe Byonic, an informatics tool for analyzing glycoproteomics, and use it to characterize human serum glycoproteins. Byonic is a well-performing software for analyzing serum glycoproteomics. It utilizes "high-coverage" and "high-precision" glycoproteomics search schemes and a probabilistic difference-based system to identify modification sites from LC-MS/MS data of serum glycoproteins. Correlation analyses showed that O-glycan composition in serum could be accurately identified using this tool approach. In addition, the O-glycan search space in the O-glycan composition test was correlated with accurate identification of source O-glycoproteins, and high O-glycoproteome coverage in this system.
Fig.1 Results for O-Glycopeptide by Byonic. (Kawahara, et al, 2021)
CD BioGlyco has a team of experienced and specialized technicians to provide our clients with one-stop solutions for serum glycoproteins. We provide personalized consulting services to our clients and customize serum glycoprotein analysis solutions according to project requirements. Please feel free to contact us if you have any questions in the field of serum glycoprotein analysis, our client service team is always ready to answer your queries.
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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.