RNA sequencing (RNA-Seq) is revolutionizing the study of the transcriptome. A highly sensitive and accurate tool for measuring expression across the transcriptome, it is providing scientists with visibility into previously undetected changes occurring in disease states, in response to therapeutics, under different environmental conditions, and across a wide range of other study designs.
RNA-Seq allows researchers to detect both known and novel features in a single assay, enabling the identification of transcript isoforms, gene fusions, single nucleotide variants, and other features without the limitation of prior knowledge.1,2
RNA-Seq with next-generation sequencing (NGS) is increasingly the method of choice for scientists studying the transcriptome.
Learn how RNA-Seq is advancing transcriptome research in various fields, and how gene regulation studies can provide complementary information.
Download eBookFind out how Illumina NGS technology works and what types of experiments it enables.
Learn about key RNA-Seq methods. Find out how they differ to help you determine the method most appropriate for your research.
Study gene expression and transcriptome changes with cancer RNA-Seq.
Analyze pathogen transcriptome signatures with microbial RNA-Seq.
Study drug response RNA biomarkers.
RNA-Seq and HLA typing are increasing the power and efficiency of a target discovery platform.
Read Customer InterviewTranscriptomics and whole-genome shotgun sequencing provide researchers and pharmaceutical companies with data to refine drug discovery and development.
Read Customer InterviewThis research highlights the broad potential of circulating cell-free RNA sequencing for biomarker discovery and noninvasive health monitoring.
Read ArticleAdvances in RNA-Seq library prep are revolutionizing the study of the transcriptome. Our enhanced RNA-Seq library prep portfolio spans multiple types of sequencing studies. These solutions offer rapid turnaround time, broad study flexibility, and sequencing scalability.
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Learn about Illumina solutions for next-generation RNA sequencing applications.
RNA-Seq of formalin-fixed, paraffin-embedded (FFPE) and other low-quality samples offers valuable insights for disease research.
Uncover gene targets and pathways tied to disease.
User-friendly software tools simplify RNA-Seq data analysis for biologists, regardless of bioinformatics experience.
Identify genetic variants linked to COVID-19 disease severity and profile the immune response to SARS-CoV-2 with NGS and microarrays.
Visualize tissue morphology overlaid with gene activity, to reveal the spatial relationships between cells and how they contribute to tissue development, function, and disease state.
This cost-effective, flexible workflow measures gene expression in single cells and offers high-resolution analysis to discover cellular differences usually masked by bulk sampling methods.