Glycoinformatics-assisted Glycan-related Epigenomics Analysis Service
Unlocking the Epigenomic Potential of Glycans with Glycoinformatics Expertise!
Epigenomics is a comprehensive field of study that investigates all chemical modifications and regulatory factors associated with epigenetics in the genome. Different types of epigenetic modifications, such as DNA methylation, histone modifications, and non-coding RNAs, affect gene expression and function. With years of experience in providing
Glycoinformatics-assisted Glycomics Analysis Services, CD BioGlyco offers a comprehensive range of analytical services, including but not limited to
Glycoinformatics-assisted Disease Glycomics Analysis,
Glycoproteomics Analysis,
Glycogenomics Analysis, and glycan-related epigenomics analysis.
Comprehensive glycan-related epigenomics analysis
We utilize professional techniques and advanced equipment to provide you with comprehensive glycan-related epigenomics analysis to help you perform in-depth analysis of various types of glycan-related epigenetic data and help you understand the relationship between intracellular glycan modifications and epigenetic regulation.
- Our experts utilize chromatin immunoprecipitation followed by sequencing (ChIP-seq) technology for you to analyze the interaction between specific histone modifications or transcription factors and glycosylation modifications. Genomic regions associated with specific glycosylation modifications are identified by immunoprecipitation on chromatin followed by high-throughput sequencing (HTS).
- We employ methylated DNA immunoprecipitation followed by sequencing (MeDIP-seq) to investigate the correlation between DNA methylation and glycosylation alterations. By utilizing antibodies specific to methylation and immunoprecipitating methylated DNA fragments, followed by HTS, we identify genomic regions linked to methylation modifications.
- CD BioGlyco utilizes RNA-seq technology to analyze the effects of glycosylation modifications on gene expression. We analyze transcriptome data to discover expression changes in genes associated with glycosylation modifications and help you gain a comprehensive understanding of the role of glycosylation modifications in the regulation of gene expression.
Detailed data preprocessing
After acquiring the data, we first perform data preprocessing through a series of bioinformatics tools to remove low-quality sequences repetitive sequences, etc. Then we use comparison software to compare the pre-processed sequence data with the reference genome and perform difference analysis and data visualization.

Publication
Technology: EpiVar Browser
Journal: Bioinformatics
IF: 6.931
Published: 2024
Results: This article focuses on how to facilitate the exploration and sharing of epigenomics data. The article describes EpiVar Browser, a tool that allows users to browse aggregated results from an epigenomics dataset and directly explore genotype-chromatin phenotype relationships. By aggregating and summarizing individual genotypes and epigenetic signaling trajectories, EpiVar Browser avoids direct access to individual data, thereby protecting personally identifiable information. This approach accelerates the analysis process, avoids cumbersome data access and approval processes, and provides a viable strategy to facilitate responsible access to sensitive epigenomics data.
Fig.1 Principle of the EpiVar Browser works. (Lougheed, et al., 2024)
Applications
- The pathogenesis of a variety of diseases is linked to irregularities in glycosylation. As a result, the analysis of how glycosylation modifications interact with epigenetics is utilized in researching potential new targets or markers for diseases.
- Analysis of glycan-related epigenomics in cells or tissues is used as a biomarker to aid in early disease detection or to assess disease risk.
- It is used to investigate the role of glycan-related epigenomics in cell signaling and regulation and provides new targets for drug development.
Advantages
- We combine the techniques of glyco-bioinformatics and epigenetics to provide a comprehensive analysis of glycosylation modification and epigenetic regulation to provide you with more comprehensive data.
- Our glycoinformatics-assisted glycan-related epigenomics analysis processes large-scale glycosylation and epigenetic data, extracting key information from them and analyzing them systematically.
- Our interdisciplinary experts combine knowledge from various fields such as glycoinformatics, molecular biology, biochemistry, etc. to provide you with professional services.
Frequently Asked Questions
- What is the relationship between glycosylation modifications and epigenetics?
- Both glycosylation modifications and epigenetics can affect gene expression levels. For example, DNA methylation and histone modifications can regulate the transcriptional activity of certain genes, while glycosylation modifications may also regulate the transcriptional levels of genes by affecting the structure of the DNA or the state of the chromatin. Moreover, there may be interactions and cross-regulation between glycosylation modifications and epigenetics. For example, glycosylation modifications may affect the activity of histone-modifying enzymes, which in turn affect the structure and state of chromatin, and vice versa.
- How do you interpret the results of complex analyses?
- We interpret the results by using visualization tools, statistical analyses, and biological knowledge, and compare and validate them with existing literature.
At CD BioGlyco, our expert team utilizes scientific expertise and technical knowledge to effectively implement specialized glycoinformatics-assisted analysis of glycans concerning epigenomics. We ensure the reliability and efficacy of our analysis through thorough testing and quality control measures. If you are interested in further details, please don't hesitate to contact us.
References
- Lougheed, D.R.; et al. EpiVar Browser: advanced exploration of epigenomics data under controlled access. Bioinformatics. 2024, 40(3): btae136.
- Groth, T.; et al. A systems-based framework to computationally describe putative transcription factors and signaling pathways regulating glycan biosynthesis. Beilstein Journal of Organic Chemistry. 2021, 17(1): 1712-1724.
For research use only. Not intended for any diagnostic use.
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