The abnormal expression of glycolysis-related genes is closely related to the occurrence of various cancers. Multiple glycolysis-related genes are involved in the regulation of glycolysis and affect cancer progression. Currently, research on glycolytic genomes has focused on the establishment of models for the diagnosis, prognosis, and metastasis prediction of various cancer types including breast, ovarian, liver, colorectal, and pancreatic cancers. However, the specific roles of glycolysis-related genes in the occurrence and development of various cancers are still unclear. CD BioGlyco can provide expression profiling of glycolysis-related genes in various cancers based on the high-throughput microarray, sequencing technology, and bioinformatics analysis technology.

What We Do

• High-throughput sequencing
• Biochip
• Bioinformatics analysis

Service Case

Based on the MOPCGM platform, the glycolysis-related genomics research of colorectal cancer is carried out, and a risk model that can be used for the prognosis prediction of patients is constructed.

Service Content

1. Sequencing datasets of tumor tissue samples and normal tissue samples from colorectal cancer patients were obtained from the TCGA database, including CNV, SNV, and mRNA expression.
2. Glycolysis-related genes and differential glycolysis-related genes were identified by gene enrichment analysis of glycolysis-related pathways.
3. Co-expression relationships between glycolysis-related genes were analyzed by a gene co-expression network. Generating transcription factor network analysis of upstream transcription factors of major differentially expressed genes.
4. The relationship between differentially expressed glycolysis-related genes and drug sensitivity was analyzed using cancer drug sensitivity genomics.
5. Univariate Cox regression analysis was performed to explore the prognostic role of differentially expressed glycolysis-related genes in colorectal cancer.

Deliverables

• Glycolysis-related gene expression reports.
• Screening results in differential expression of glycolysis-related genes.
• Results of survival correlation analysis of glycolysis-related genes.
• Glycolysis-related genes for diagnosis and prognosis.
• The results of model validation.

Our Advantages

• A single gene expression level may be affected by multiple factors and is not sufficient to accurately and independently predict a patient's prognosis. We can analyze each glycolysis-related gene to help customers obtain more accurate cancer assessment models.
• We focus on the construction of glycolysis-related gene feature models and have a mature model construction system that enables customers to obtain models with the highest accuracy in the shortest time.

Applications

Our services can support the following applications, including but not limited to:

• Develop glycolysis-related gene signatures for prognosis prediction in different cancer types.
• Identifying different metabolic subtypes of the same cancer through a comprehensive analysis of glycolytic genes, driving the development of personalized therapy.
• Establishing a predictive model of the genetic composition of glycolysis that is closely related to cancer progression will facilitate the discovery of potential drug targets.

CD BioGlyco can analyze the expression profile of glycolysis-related genes based on the genomics platform and provides bioinformatics analysis technology to help customers build a glycolysis-related gene feature model that can be diagnosed and predicted. Our experienced teams of scientists, researchers, and technicians provide fast turnaround, high-quality services at competitive prices for worldwide customers. Our customers have direct access to our staff and prompt feedback on their inquiries. If you are interested in our services, please contact us for more details.