At CD BioGlyco, we are proud to present our comprehensive Glycoinformatics-assisted Glycomics Analysis Services, designed to advance the field of glycoscience through state-of-the-art informatics. Crucially, one of our premier offerings within this service category is the Glycoinformatics-assisted Disease Glycomics Analysis Service, which hones in on the glycomic alterations associated with various diseases. A key facet of this service is our Glycoinformatics-assisted Cancer Glycomics Analysis Services, meticulously focusing on the changes in glycan structures that are indicative of cancer progression.
One of the standout features of our glycoinformatics-assisted cancer glycomics analysis services is the detection of glycan variation on glycoprotein markers in cancer. This targeted service zeroes in on the glycan modifications that occur on glycoproteins, which are often pivotal indicators of cancerous transformations within cells. By employing sophisticated glycoinformatics tools, we analyze these glycan variations, offering detailed profiles that distinguish between normal and malignant states.
We collect high-resolution mass spectrometry data of glycoproteins from healthy and cancerous tissue samples.
We use advanced glycoproteomics techniques to isolate and identify glycopeptides, ensuring accurate determination of glycan structures.
We use annotated datasets of known glycan structures from public databases to ensure comprehensive coverage and accuracy.
We utilize sophisticated algorithms to detect and quantify glycan variations on cancer marker-specific glycoproteins.
We employ machine learning techniques to discern patterns of glycosylation changes and associate them with cancer states and subtypes.
We integrate glycan biosynthetic pathway models to predict and validate the biological relevance of observed glycans.
We map identified glycan changes to specific biological pathways and cellular mechanisms associated with cancer.
We develop proprietary glycoinformatics software that integrates data processing, analysis, and visualization.
We continuously update the platform to incorporate the latest glycan structures and analytical methods.
Finally, we perform targeted glycan analysis and in vitro assays to experimentally validate our computational predictions.
Journal: Molecular & Cellular Proteomics
IF: 7.0
Published: 2013
Results: Due to advancements in analytical techniques and instrumentation, particularly in mass spectrometry, the researchers were able to identify blood-derived glycan-based biomarkers utilizing glycomics strategies. This review provided an overview of the progress made in the search for glycan-based cancer biomarkers and the technologies employed. The authors anticipated that ongoing developments in instrumentation and bioinformatics could enable the identification of relevant glycan biomarkers for diagnosing, early detection, and monitoring of cancer treatment with the necessary sensitivity and specificity for clinical application.
Fig.1 MALDI-FTICR-MS spectra of N-glycan isolated from the serum of a patient with breast cancer. (Ruhaak, et al., 2013)
At CD BioGlyco, our detection of glycan variation on glycoprotein markers provides a powerful means to uncover new cancer biomarkers and improve early detection. As we advance, we aim to expand our glycan database, refine our computational models, and enhance cross-disciplinary collaborations. Please feel free to contact us if you are interested in our detection of glycan variation on glycoprotein markers.
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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.