Glycoinformatics-assisted Glycan-related Transcriptomics Analysis Service
Decoding Glycan Complexity with Glycoinformatics and Transcriptomics Analysis
Transcriptomics is a method of studying gene expression by analyzing transcripts in cells or tissues to understand how genes are expressed under specific conditions. CD BioGlyco has been engaged in geoinformatics-related research for many years and provides our clients with a comprehensive range of geoinformatics-related analysis services such as
Glycoproteomics Analysis,
Glycogenomics Analysis,
Glycolipidomics Analysis and glycoinformatics-assisted glycan-related transcriptomics analysis service.
Our glycoinformatics-assisted glycan-related transcriptomics analysis service begins with the analysis and annotation of glycosylation structures using specialized tools and databases. We determine the type and level of glycosylated structures present in each sample, including glycosylase activity and associated metabolic pathways. Following RNA extraction from the samples, we conduct RNA sequencing to obtain transcriptomic data while ensuring its quality and quantity meet requirements for subsequent analysis. Subsequently, our experts perform quality control, remove low-quality sequences, and appropriate adapters, and filter the RNA sequencing data to ensure accuracy and reliability. Glycoinformatics tools are then used to compare gene expression between different experimental groups before conducting functional enrichment analysis to identify pathways with concentrated enrichment of differentially expressed genes. Finally, we integrate the results of glycosylation analysis with transcriptome data to analyze and interpret the mechanism of glycosylation in gene regulation involving signal transduction pathways, and metabolic regulation.
Our glycoinformatics-assisted glycan-related transcriptomics analysis service includes but is not limited to the following four services:
Publication
Technology: Single-cell transcriptomics
Journal: Iscience
IF: 4.53
Published: 2022
Results: In this paper, the authors study glycosylation at the cell type level by applying transcriptomics and have developed a software package that allows for extracting and interpreting glycosylation information from transcriptomic data and defining regulatory hotspots. The authors used single-cell RNA sequencing data to study the state of the glycosylation machinery and metabolic networks within the cell. It was found that most of the enzymes involved in the synthesis of generic proteins and lipo-oligosaccharide backbones have limited mRNA regulation at the cellular and tissue levels. The study also predicted that key enzymes in different glycosylation pathways may be highly regulated glycosylation hotspots. It was also found that glycosylation is highly regulated in cells, with some of the core glycosylation mechanisms being universal across all cells, while other structural changes are differentially regulated in different cell types. In addition, the study has identified several cell type-specific glycosylation features that can be used to identify and differentiate these cells.
Fig.1 Similar and distinct abilities of different cell types in glycosylation. (Dworkin, et al., 2022)
Applications
- Glycoinformatics-assisted glycan-related transcriptomics analysis can be used in disease research to help understand the role of glycosylation in the development of various diseases and to provide new targets and strategies for disease research.
- Glycoinformatics-assisted glycan-related transcriptomics analysis can be used in drug development and evaluation to assess the impact of drug candidates on the glycosylation process and the interaction of drugs with glycosylation-related pathways by analyzing the transcript levels of glycan-related genes.
- The glycan-related transcriptomics analysis assisted by glycoinformatics can be used in basic science research to delve deeper into the relationship between glycosylation and cell signaling, immune regulation, and physiological function.
Advantages
- We provide a comprehensive analysis platform, combining glycoinformatics and transcriptomics technologies, to provide you with a comprehensive analysis of the role of glycosylation in the regulation of gene expression.
- Our experts use glycoinformatics tools to efficiently process large-scale data and accurately interpret the complex relationship between glycosylation and gene expression, providing objective and scientific data analysis results.
- We have a dedicated team and technologists with extensive experience and expertise in the field of glycoinformatics and transcriptomics.
Frequently Asked Questions
- What role does glycoinformatics play in this analysis?
- Glycoinformatics is primarily used in this analysis to study and analyze the structure, composition, and function of glycosylation. It helps to understand the relationship and biological significance between glycans and transcriptomic data through methods such as database searches, structure prediction, and function prediction.
- How to process and interpret high-dimensional data?
- High-dimensional data processing usually involves steps such as data cleaning, normalization, dimensionality reduction, and statistical analysis. In our glycoinformatics-assisted glycan-related transcriptomics analysis, we use advanced data analysis software and algorithms to ensure that complex data is accurately interpreted and important information is extracted.
At CD BioGlyco, we utilize a range of cutting-edge technologies to provide in-depth and comprehensive glycoinformatics-assisted glycan-related transcriptomics analysis services. If you need further details, please feel free to contact us.
Reference
- Dworkin, L.A.; et al. Applying transcriptomics to study glycosylation at the cell type level. Iscience. 2022, 25(6).
For research use only. Not intended for any diagnostic use.
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