Integration of Web-Based Tools to Visualize, Integrate, and Interpret Glycogene Expression and Glycomics Data

Area of Science:

• Biochemistry
• Molecular Biology
• Systems Biology

Background:

• Glycosylation is a crucial post-translational modification affecting protein function and cellular processes.
• Altered glycosylation patterns are linked to various diseases, making them important diagnostic and therapeutic targets.
• Assessing glycosylation is complex due to its non-templated nature and the interplay of multiple enzymes and substrates.

Purpose of the Study:

• To address the challenges in analyzing and integrating glycomics and glycogene expression data.
• To introduce freely available online tools for visualizing and interpreting these complex datasets.
• To facilitate the contextualization of glycosylation changes within biological pathways.

Main Methods:

• Integration of glycan structure and quantity data with gene expression data (RNAseq).
• Utilizing interactive online tools that incorporate glycan biosynthetic schemes.
• Describing the application of four specific, freely available online analysis tools.

Main Results:

• Demonstrated the utility of online tools in simplifying the analysis of integrated glycomics and RNAseq data.
• Showcased how these tools aid in understanding the molecular pathways involved in glycosylation.
• Facilitated the visualization and interpretation of complex glycan and gene expression relationships.

Conclusions:

• Interactive online tools are essential for overcoming the challenges in glycosylation analysis.
• These tools enable better integration and interpretation of glycomics and gene expression data.
• Improved understanding of glycosylation patterns can lead to novel diagnostic and therapeutic strategies.