Detection of Glycan Variation on Glycoprotein Markers

Revolutionizing Cancer Profiling: Discovering Glycoprotein Glycan Changes with Cutting-Edge Glycoinformatics Methods

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.

Flow diagram of detection of glycan variation on glycoprotein markers. (CD BioGlyco)

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.

Data acquisition

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.

Computational analysis

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.

Biological interpretation and tools

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.

Publication Data

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 N-glycan profiles from the serum of a breast cancer patient obtained by MALDI-FTICR-MS analysis.Fig.1 MALDI-FTICR-MS spectra of N-glycan isolated from the serum of a patient with breast cancer. (Ruhaak, et al., 2013)

Applications

  • This technology can be used to analyze glycan chain variations on glycoprotein markers in cancer and healthy control samples.
  • This technology can be used to systematically explore how glycosylation modifications affect the functional performance of glycoproteins in biological processes such as cell signaling, protein stability, and cell-to-cell interactions.
  • This technology can be used to promote the construction and improvement of glycosylation databases.

Advantages of Us

  • Our service helps accelerate glycosylation research. By automating the processing of massive amounts of glycomic data, we quickly identify and validate cancer-associated glycosylation patterns.
  • Our service helps accurately resolve cancer glycosylation heterogeneity. This technology provides deep insight into subtle changes in glycans on glycoprotein markers in cancer cells.
  • Our service helps facilitate the discovery of personalized glycosylation markers.

Frequently Asked Questions

  • What is glycoinformatics-assisted detection and how is it applied to cancer research?
    • Glycoinformatics-assisted detection is a method that combines glycomics data with advanced bioinformatics analysis to accurately identify and analyze the variation of glycan chains on glycoprotein markers in cancer. This method obtains glycan chain structural information through high-throughput glycomics technology and then uses specialized bioinformatics tools and algorithms for data processing and analysis to reveal the potential connection between glycosylation changes and cancer occurrence and development.
  • Why does cancer research need to pay attention to glycosylation variation?
    • Glycosylation is one of the important forms of post-translational modification of proteins, which has a profound impact on protein function, stability, and cell-to-cell interactions. In cancer, glycosylation patterns often change significantly, and these changes are closely related to tumor malignant transformation, invasiveness, metastatic ability, and immune escape. Therefore, in-depth research on glycosylation variation is of great significance for understanding the biological characteristics of cancer, discovering new biomarkers, and developing targeted therapies.

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.

Reference

  1. Ruhaak, L.R.; et al. Developments in the identification of glycan biomarkers for the detection of cancer. Molecular & Cellular Proteomics. 2013, 12(4): 846-855.
For research use only. Not intended for any diagnostic use.
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