Glyco-gene Microarray Assay
Overview
Professional databases and well-trained researchers are essential to conducting the glyco-gene microarray assay. Our huge probe library and advanced algorithm programs provide professional and reliable assistance for customers' glyco-gene microarray assay. CD BioGlyco has confidence to be your essential research assistant in the field of glycobiology.
Background
DNA microarray technology is similar to traditional Southern hybridization, Northern hybridization and other technologies. They are all developed based on the complementary characteristics of nucleic acids, and the hybridization between complementary single strands of nucleotides. But whereas conventional techniques can only analyze individual genes, microarrays have evolved as a high-throughput model. Researchers can use gene chips to quantitatively analyze the expression levels of a large number of genes at the same time, with rapid, accurate, and low-cost capabilities.
Compared with traditional methods for studying the differential expression of genes, it has the advantages of miniaturization, high sensitivity, and simultaneous large-information parallel detection on the same chip. The glyco-gene microarray is a focused oligonucleotide microarray containing all the cloned glyco-genes. It is a high-level technology for screening and detecting changes in the transcription and expression levels of glycan-related genes (such as glycan binding protein, glycosyltransferase, glycosylhydrolase, carbohydrate transporter, etc.). The glyco-gene microarray technologies currently on the market are based on Affymetrix technology.
Key Technologies
Our analytical service is engineered upon a bespoke oligonucleotide microarray architecture, expressly configured for the interrogation of the human "glyco-gene" repertoire. This platform incorporates a rigorously curated gene set, encompassing the entirety of cloned human glycosyltransferases, glycoside hydrolases, polysaccharide lyases, and carbohydrate esterases. Fabrication entails the robotic deposition and covalent immobilization of a series of gene-specific oligonucleotides onto a solid glass substrate. This manufacturing paradigm guarantees exceptional specificity and experimental reproducibility, with each transcript represented by a singular oligonucleotide probe, its sequence meticulously optimized to avert cross-hybridization artifacts. A stringent quality assurance protocol empirically validates the array's dynamic range, measurement accuracy, and inter-assay reproducibility, thereby furnishing a superior degree of confidence in the resultant data.
Mapping Glyco-Genes, Decoding Sugar Destiny.
The glyco-gene microarray constitutes a robust analytical platform for profiling the expression of genes involved in glycan biosynthesis and recognition. This service is particularly suited for comparative transcriptomic investigations—such as delineating expression profiles between pathological and normal states, or following pharmacological intervention relative to untreated controls. Capable of accommodating diverse biological inputs, including a wide spectrum of human tissues and established cell lines, the assay offers a systematic and reliable methodology for interrogating intricate alterations within glycosylation pathways. An integrated workflow ensures end-to-end analytical consistency, maximizing both operational efficiency and data integrity throughout the experimental process.
- Sample Collection and Preparation
We accept a variety of biological samples, including tissue specimens and cell cultures. Total RNA is extracted and purified using established protocols to ensure high-quality starting material.
- RNA Labeling and Hybridization
The purified RNA is amplified and labeled with fluorescent markers, such as Cy3 and Cy5, to create a target for hybridization. Labeled samples are then hybridized to the microarray slide, allowing the labeled targets to bind to their complementary oligonucleotide probes.
- Signal Acquisition and Data Processing
A high-resolution confocal laser scanner is used to quantify the fluorescent signal from each spot on the array. The raw data is then processed and normalized using advanced bioinformatics algorithms to account for experimental variation and ensure data consistency.
- Statistical Analysis
Our comprehensive statistical analysis platforms, such as the significance analysis of microarrays (SAM) algorithm, are applied to identify genes that are significantly and differentially expressed between experimental groups, such as diseased versus normal tissue. This process includes a stringent false discovery rate (FDR) cutoff to ensure that the results are statistically significant and reliable.
- Data Validation and Reporting
The final step involves validating key findings using an orthogonal method like quantitative real-time PCR (qRT-PCR). This corroborates the microarray data and increases confidence in the results. A comprehensive report detailing the gene expression profiles and statistical findings is then provided.
Workflow
Publication Data
DOI.: 10.1186/s13027-018-0197-2
Journal: Infectious Agents & Cancer
Published: 2018
IF: 3.1
Results: This study investigated how HPV-18 E6/E7 oncoproteins regulate glycogene expression in cervical cancer using a microarray-based approach. Researchers partially silenced E6/E7 in HeLa cells via shRNA and identified 16 significantly altered glycogenes: 9 upregulated (e.g., POFUT1, FUT4, XXYLT1) and 7 downregulated (e.g., GALNT1, UGT8, C1GALT1C1). Functional analysis revealed these changes primarily impact two glycosylation pathways:
- Notch receptor modification (via POFUT1↑), potentially disrupting Notch signaling;
- Tn/T antigen synthesis in O-glycans (via GALNT1↓ and C1GALT1C1↓), promoting tumor-associated glycosylation.
These results demonstrate that HPV oncoproteins dysregulate glycogene networks, altering glycan structures implicated in cervical carcinogenesis, with the microarray serving as a key tool for uncovering these mechanisms.
Advantages
- We possess the ability to obtain a holistic view of glycosylation-related gene expression in a single, high-throughput experiment.
- Our platform's rigorous quality control and statistical analysis ensure a high degree of accuracy and reproducibility.
- Our focused microarray approach can reliably identify differentially expressed glyco-genes.
Application
- Our service identifies aberrant glyco-gene expression patterns in various tumors, providing potential biomarkers for diagnosis and prognosis, and uncovering new targets for therapeutic intervention.
- By identifying key glyco-genes that are up- or down-regulated in specific conditions, researchers can use this information to screen for compounds that modulate these genes, thereby accelerating the drug discovery process.
- The identification of differentially expressed glyco-genes can lead to the discovery of novel diagnostic markers for various diseases.
Frequently Asked Questions
Associated Services
Our glyco-gene microarray assay decodes transcriptional regulation of glycosylation enzymes and chaperones—revealing critical pathways in immune evasion, pathogen adhesion, and therapeutic resistance. To complement this genetic insight with structural analysis of microbial virulence factors, we offer Microbial Carbohydrates Services that characterize pathogen-associated molecular patterns (PAMPs) through:
CD BioGlyco has provided reliable and cost-effective research services to customers all over the world, and our considerate service and professional technology in the field of glycobiology have won us a great deal of praise.
Customers can contact our employees directly and we will respond promptly. If you are interested in our services, please contact us for more detailed information.
Reference
- Miguel, A.T.; et al. Glycogene expression profiles based on microarray data from cervical carcinoma HeLa cells with partially silenced e6 and e7 hpv oncogenes. Infectious Agents & Cancer. 2018, 13(1): 25. (Open Access)
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