Accelerating Glycosylation Research through Glyco-gene Expression Analysis

Glyco-gene expression analysis plays a crucial role in understanding the molecular mechanisms of genome regulation. CD BioGlyco offers a customized glycoinformatics-assisted glyco-gene expression analysis service by combining multiple approaches. We have a professional glycoinformatics informatics team responsible for glyco-gene expression data analysis projects.

Based on our extensive experience in Transcriptomics Analysis and Glycomics Analysis, we customize our solutions to meet specific client requirements. We identify differentially expressed genes associated with the glycosylation process by comparing differences in glyco-gene expression levels under different conditions to support studies of various physiological and pathological processes. Combining various analytical techniques and algorithms, our service includes the following:

Glyco-gene expression level detection

Microarrays are used for differential gene expression analysis because of their advantages of rapidity, accuracy, sensitivity, and parallel detection. We use microarrays to detect glyco-gene expression levels in different samples. Besides, there are other techniques such as transcriptome sequencing to analyze glyco-gene expression levels.

Glyco-gene expression difference analysis

Glyco-gene expression detection and quantitative analysis: Bioinformatics is a very powerful tool in the field of glycomics and genomics. We perform glyco-gene expression differential analysis of experimentally generated data by bioinformatics methods. This analysis includes the following:

We quantify the expression levels of individual genes and transcripts.

Specific glyco-genes that are differentially expressed between samples are identified.

Principal component (PCA) analysis and cluster analysis

We perform PCA analysis and cluster analysis on the glyco-gene expression data to assess the variability between samples in different groups and the reproducibility of samples within groups, and to understand the changes of differentially expressed genes in samples under different conditions.

Glyco-gene function enrichment analysis

We utilize multiple glyco-gene function databases to cluster multiple glyco-genes with different functions into different biological pathways. Glyco-gene function enrichment analysis is not only used to understand the main biological functions exercised by differentially expressed glyco-genes, but it is also helpful for subsequent glycosylation analysis.

Protein-protein interaction network construction

We use specific software analysis to predict interaction network analysis to understand the functional associations between each glyco-gene, leading to a better understanding of the glycosylation pathway.

Our services apply to the following:

• Glycosylation modification analysis
• Predicting the impact of altered gene expression on biological processes
• Disease-specific expression profiling and differential analysis
• Biomarker validation
• Other research

Publication Data

Applications

• Glyco-gene expression analysis is suitable for the study of disease mechanisms caused by gene variant expression.
• Glyco-gene expression analysis is suitable for gene function study and glycosylation pathway analysis.
• Glyco-gene expression analysis is suitable for cancer and other disease biomarker identification and discovery.

Highlights

• We have extensive experience in sample processing and gene expression level detection.
• We customize efficient experimental protocols based on specific research requirements, with a short cycle time for glyco-gene expression analysis.
• The coverage of glyco-gene expression analysis is high, which meets the various research needs of our clients.

Frequently Asked Questions

• What are the advantages of microarray technology in detecting gene expression levels?
  • Microarray technology is the integration of gene probes on a solid surface to detect and analyze gene expression patterns in samples. Compared with traditional methods for studying differential gene expression, it can perform parallel detection of large information on the same chip and has the advantages of rapidity, accuracy, high sensitivity, etc., which has been widely used for gene expression analysis.
• What is the significance of glyco-gene expression analysis?
  • Differential glyco-gene expression analysis allows researchers to gain insights into how glyco-gene expression affects glycosylation patterns and the role of specific genes in glycan biosynthesis, thus helping to understand various biological processes and diseases.
• What types of data are needed for glyco-gene expression analysis?
  • Glyco-gene expression analysis requires gene expression data (e.g., microarray or RNA sequencing data), among others. We customize the analysis plan according to the specific research objectives and complete the entire process of gene expression data detection and analysis.

CD BioGlyco is committed to providing a comprehensive glycoinformatics-assisted glyco-gene expression analysis service to ensure that your glycosylation studies are conducted quickly and efficiently. Welcome to contact us to discuss the details if you are interested in our services.

• Glycoinformatics-assisted Identification Service of Genes Involved in Glycan Biosynthesis
• Glycoinformatics-assisted Glycan Biosynthesis Pathway Analysis Service
• Glycoinformatics-assisted Glyco-transcriptomics Transcript Analysis Service