At CD BioGlyco, we are committed to advancing the development of life sciences through innovative technologies. As an important part of our diversified services, we provide Glycoinformatics-assisted Glycomics Analysis Services, which deeply combine advanced glycomics technology with bioinformatics. Within this broad service framework, we further refine the service direction, among which Glycoinformatics-assisted Disease Glycomics Analysis Service focuses on analyzing the changes in glycan chains in disease states.
In response to the current major challenge in the global health field of cancer, we specially offer Glycoinformatics-assisted Cancer Glycomics Analysis Services. At this level, comparative glycoproteomic analysis in cancer not only integrates high-resolution glycoproteomics analysis technology but also deeply integrates the powerful analytical capabilities of glycoinformatics. By comparing the differences in glycosylation patterns of glycoproteins between cancer and healthy samples, it accurately explores cancer-specific biomarkers and molecular mechanisms.
Sample preparation: We process a variety of biological samples, such as cancer cell lines and primary tissues.
Glycoprotein enrichment: Samples undergo our specialized glycoprotein enrichment protocols, which typically rely on lectin affinity chromatography or hydrazide chemistry to selectively isolate glycoproteins.
Protein digestion: We digest the enriched glycoproteins using specific proteases such as trypsin to generate glycopeptides.
Mass spectrometry (MS): We employ high-resolution liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify and quantify glycopeptides. Orbitrap or Q-TOF analysis provides the mass accuracy and resolution required for glycopeptide analysis.
Glycan analysis: We employ techniques such as matrix-assisted laser desorption/ionization (MALDI)-MS or LC-MS to elucidate the glycan structures attached to glycopeptides.
Bioinformatics tools: We process the raw data from MS using specialized bioinformatics tools for glycoprotein identification and glycopeptide quantification.
Glycoinformatics tools: We utilize advanced software tools and databases to interpret glycan structures and their biological significance.
Comparative analysis: We analyze the differential expression and glycosylation patterns between cancer and normal samples.
Biochemical assays: We validate the results of MS analysis using traditional biochemical assays such as Western blot and ELISA.
Functional studies: We perform follow-up functional assays, including cell proliferation, migration, and invasion assays, which help validate the biological role of the identified glycoproteins in cancer.
Journal: Mol Cell Proteomics
IF: 7.381
Published: 2017
Results: The researchers introduced GlycoPAT, a detailed, open-source, modular software designed for analyzing glycoproteomics data. This tool included three significant innovations: (1) "SmallGlyPep," a minimalistic linear depiction of glycopeptides tailored for MSn data analysis; (2) an innovative scoring method that computes an "Ensemble Score (ES)," enabling cross-correlation and probability-based evaluations to score and rank MS/MS spectra for both N- and O-linked glycopeptides; and (3) a false discovery rate (FDR) assessment method that generated decoy glycopeptides by concurrently shuffling the amino acid sequence and inserting artificial monosaccharides through modifications of the original sugar mass. GlycoPAT was utilized to document site-specific glycosylation on straightforward glycoproteins, and standard protein mixtures. Moreover, it identified 960 distinct glycopeptides in cell lysates from prostate cancer cells.
Fig.1 The naming convention for SmallGlyPep (SGP1.0) and the comprehensive data analysis approach. (Liu, et al., 2017)
At CD BioGlyco, our cancer comparative glycoproteomic analysis service deeply explores the complex changes of glycoprotein glycosylation in cancer through the combination of glycoproteomics analysis and glycoinformatics analysis, providing strong support for cancer-related research. Please feel free to contact us if you are interested in our comparative glycoproteomic analysis in cancer.
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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.