Abnormal glycosylation of proteins is often associated with cancer such as antitumor immunity and oncogenic transformation. A variety of cancer markers are glycoproteins that are altered in serum glycomics. Therefore, a comprehensive analysis of cancer glycomics is necessary. Our specialized Glycomics Analysis team offers different Disease Glycomics Analysis services such as Malaria Glycomics Analysis, Neuronal Diseases Glycomics Analysis, and Diabetes Glycomics Analysis.
CD BioGlyco provides comprehensive cancer glycomics analysis services to meet our clients' needs for analyzing different indicators of cancer. Our services cover, but are not limited to, the following analyses.
Our researchers support clients with biological samples such as tissue samples, blood samples, or other samples. Our staff has proven experience in sample pre-processing.
In-depth analysis of glycosylation and changes in glycosylation has driven research into cancer mechanisms. CD BioGlyco provides high-throughput glycomics analysis enabling rapid and comprehensive characterization of glycans.
Our lab offers high-quality electrospray ionization mass spectrometry (ESI-MS), matrix-assisted laser desorption/ionization (MALDI) coupled to time-of-flight mass spectrometry (MALDI-TOF MS), high-performance liquid chromatography (HPLC) and lectin microarray analysis.
CD BioGlyco provides professional comparative glycoproteomic analysis in serum and cancer. Our company provides analytical method comparison service for the same samples, glycosylation comparison service for normal and lesion samples, and environmental interference comparison service for the same samples.
CD BioGlyco provides analysis data interpretation, integration, and visualization services. Our lab has unique data organizing tools to help our clients quickly process large volume data such as MS data, HPLC data, nuclear magnetic resonance (NMR) data, etc. Our software supports different analytical data comparison services.
Technology: Machine learning, MALDI-MS, HPLC, Fluorescence labeling
Journal: RSC Advances
Published: 2018
IF: 3.9
Results: In this study, researchers used machine learning to evaluate the serum glycomics results of hepatocellular carcinoma (HCC) analyzed by MALDI-MS and HPLC. The researchers found that these two analytical methods were highly successful in analyzing HCC-associated glycans. They further screened for multiple potential biomarkers of HCC. Importantly, the researchers minimized interfering factors during testing. In conclusion, MALDI-MS and HPLC are complementary tools for qualitative and quantitative analysis of serum glycomics.
Fig.1 HPLC analysis of N-glycans derived from human serum of healthy controls and HCC cases. (Wang, et al., 2018)
CD BioGlyco provides professional cancer glycomics analysis to promote cancer research. The deciphering role of glycans in cancer expresses that glycans can be used as novel biomarkers for cancer. Combining systems biology and proteoglycomics to elucidate key translational aspects of cancer glycomics in depth. Please feel free to contact us.
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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.