"Unveiling Gene Expression, RNA Profiling, and Functional Insights for Precision Medicine, Biomarker Discovery, and Advanced Genomics Research with Cutting-Edge Sequencing and Bioinformatics Solutions."
Transcriptome Analysis is a powerful tool for studying gene expression and RNA dynamics in biological systems. This service provides a comprehensive view of all RNA molecules, including mRNA, non-coding RNA, and alternative splicing events, in a given sample. Ideal for researchers and clinicians, transcriptome analysis enables the identification of differentially expressed genes, functional pathways, and biomarkers associated with diseases or specific conditions. Leveraging advanced RNA sequencing (RNA-Seq) and bioinformatics pipelines, our services deliver high-resolution, accurate results tailored to your needs. Applications range from precision medicine and drug discovery to cancer research and developmental biology, empowering breakthroughs in genomics and healthcare.
2 Types of Transcriptome Analysis Services
Bulk RNA Sequencing
This service provides an average gene expression profile from a mixed population of cells within a sample. It is ideal for identifying differentially expressed genes, functional pathway analysis, and studying overall transcriptomic changes in tissues or cell lines.
Single-Cell RNA Sequencing
Focused on individual cells, scRNA-Seq reveals the transcriptomic heterogeneity within complex tissues. It enables the identification of rare cell populations, cell-specific gene expression patterns, and insights into cellular functions, making it invaluable for developmental biology.
Transcriptome analysis uncovers gene expression patterns and RNA dynamics, offering insights into cellular functions and biological processes. The process begins with sample collection, such as tissue, cells, or biofluids, followed by careful RNA extraction to ensure high-quality input. The RNA is then used to create a library, where it is fragmented, reverse-transcribed into complementary DNA (cDNA), and tagged with unique adapters for sequencing.
Next, the prepared library undergoes RNA sequencing (RNA-Seq) using high-throughput next-generation sequencing (NGS) platforms, generating millions of sequence reads. These raw reads are processed through bioinformatics pipelines for quality control, alignment to a reference genome or transcriptome, and quantification of gene expression levels.
Finally, researchers interpret the data to identify differentially expressed genes, alternative splicing events, and functional pathways, correlating results with specific biological conditions. Transcriptome analysis enables applications in disease biomarker discovery, drug target identification, and understanding complex regulatory networks in biology.