At CD BioGlyco, we offer comprehensive Glycoinformatics-assisted Glycomics Analysis Services to help researchers elucidate complex glycan structures and functions. Within this service, our specialized Glycoinformatics-assisted Disease Glycomics Analysis Services focus on identifying disease-specific glycan biomarkers. Narrowing the scope further, our glycoinformatics-assisted neuronal diseases glycomics analysis service focuses on complex glycomic changes associated with neuronal diseases.
Our glycoinformatics-assisted neuronal diseases glycomics analysis service provides cutting-edge tools and methods to explore glycan changes in the context of neuronal diseases. Using sophisticated computational models and high-throughput analytical techniques, we help researchers uncover glycan mechanisms that may cause or prevent neuronal degeneration. Such detailed insights help enhance the understanding of disease pathogenesis at the molecular level.
We utilize highly sophisticated protocols that start with meticulous sample preparation to ensure the integrity and quality of neural tissue or cell samples.
We enzymatically or chemically release glycans from glycoproteins, preserving their native structure.
We typically label the released glycans with fluorophores or other tags.
Enrichment techniques such as solid phase extraction are then used to isolate specific glycan populations.
We utilize high-resolution MS platforms such as MALDI-TOF MS, LC-MS/MS, and HILIC-MS to characterize glycan structures. This analysis provides detailed information on glycan composition, structure, and abundance.
We combine glycomics with proteomics to identify glycosylation sites on neuronal proteins. This comprehensive glycoproteomic approach reveals specific glycoproteins that undergo glycosylation changes.
We use a proprietary glycoinformatics platform to interpret glycomic data using databases, algorithms, and software tools.
Tools such as in silico glycan structure prediction, glycan pathway analysis, and network biology are used to place glycosylation changes in the context of biological pathways and networks.
We use systems biology approaches to integrate glycomic data with other omics datasets such as genomics, transcriptomics, and proteomics.
Advanced statistical tools and machine learning algorithms are used to identify significant glycosylation patterns and potential biomarkers.
Journal: Ageing research reviews
IF: 13.1
Published: 2023
Results: The research centers on protein glycosylation in N- and O-glycoproteins found in brain tissues, examining their roles in both healthy and diseased states. The authors introduced experimental methodologies and glycoinformatics tools for analyzing protein glycosylation. They utilized resources linked to the GlyConnect glycoprotein platform. Additionally, they explored the glycosylation characteristics of human cerebrospinal fluid (CSF), especially those proteins originating from the brain.
Fig.1 Glycans identified in the brain and CSF. (Costa, et al., 2023)
At CD BioGlyco, we are committed to advancing the field of glycomics through our state-of-the-art glycoinformatics-assisted neuronal diseases glycomics analysis service. By leveraging our expertise in glycoscience and cutting-edge technologies, we aim to transform research practices, ultimately contributing to a better understanding of neuronal diseases. Please feel free to contact us if you are interested in our glycoinformatics-assisted neuronal diseases glycomics analysis service.
Reference
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.