A Transcriptomics Microarray is a high-throughput gene expression analysis technology that enables researchers to measure the expression levels of thousands of genes simultaneously. By examining RNA transcripts produced within cells or tissues, this technique provides a comprehensive overview of gene activity under different biological conditions.
Transcriptomics microarrays are widely used to investigate cellular functions, disease mechanisms, treatment responses, biomarker discovery, and molecular pathways. They offer an efficient and cost-effective approach for large-scale transcriptome analysis, helping researchers better understand the biological processes that drive health and disease.
Transcriptomics Microarray technology is based on the principle of nucleic acid hybridization, where complementary RNA and DNA sequences bind specifically to one another. The workflow includes the following steps:
Each microarray chip contains thousands of carefully designed DNA probes, with every probe representing a specific gene or transcript. These probes are immobilized on the array surface to capture complementary RNA molecules.
Total RNA is extracted from the biological samples and converted into labeled complementary DNA (cDNA) or complementary RNA (cRNA) using fluorescent dyes. The fluorescent labels enable accurate detection during scanning.
The labeled samples are applied to the microarray chip, where complementary nucleic acid sequences hybridize with their corresponding probes. The amount of hybridization reflects the abundance of each transcript in the sample.
Following hybridization, the microarray is scanned to detect fluorescence intensity at each probe location. Advanced bioinformatics and statistical analyses are then used to quantify gene expression levels, identify differentially expressed genes, and interpret biological pathways.
Transcriptomics Microarray provides a genome-wide view of gene expression, allowing researchers to evaluate thousands of transcripts in a single experiment. This comprehensive approach helps uncover molecular mechanisms involved in normal physiology as well as disease progression.
Researchers use Transcriptomics Microarrays to:
At N2Jenomics Lab Pvt. Ltd., we provide comprehensive Transcriptomics Microarray analysis services designed to deliver reliable, reproducible, and biologically meaningful results. Our experienced scientists combine advanced microarray platforms with robust bioinformatics pipelines to generate high-quality gene expression data for basic, translational, and clinical research.
Our services support diverse applications including disease research, biomarker discovery, drug response studies, functional genomics, and systems biology.
MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate gene expression at the post-transcriptional level. Our miRNA Expression Profiling Microarray Service enables comprehensive analysis of microRNA expression patterns, helping researchers identify regulatory mechanisms involved in development, disease progression, cancer biology, immune responses, and therapeutic interventions.
Our comprehensive analysis assists in discovering novel miRNA biomarkers and understanding their functional roles across a wide range of biological systems.
Our Gene Expression Profiling Microarray Service provides genome-wide analysis of messenger RNA (mRNA) expression, enabling researchers to identify differentially expressed genes and investigate biological pathways with high accuracy.
The service is ideal for:
• Using advanced analytical workflows, we deliver high-quality data that supports confident biological interpretation and publication-ready results.
Long non-coding RNAs (lncRNAs) are emerging as critical regulators of gene expression and numerous cellular processes. Our lncRNA Microarray Service enables comprehensive profiling of lncRNA expression to help researchers investigate their biological functions, regulatory mechanisms, and disease associations.
This service supports research in oncology, neuroscience, immunology, developmental biology, and other fields by identifying lncRNA biomarkers, regulatory pathways, and potential therapeutic targets.