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.
Find 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.
RNA-Seq and HLA typing are increasing the power and efficiency of a target discovery platform.Read Customer Interview
Transcriptomics and whole-genome shotgun sequencing provide researchers and pharmaceutical companies with data to refine drug discovery and development.Read Customer Interview
This research highlights the broad potential of circulating cell-free RNA sequencing for biomarker discovery and noninvasive health monitoring.Read Article
Advances 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.Learn More About RNA Library Prep
Transcriptomics broadly refers to the study of RNA related to its expression levels, function, structure, and regulation. RNA-Seq is more specific and refers to the technique to study both the sequence and quantity of RNA.
RNA sequencing depth is the ratio of the total number of bases obtained by sequencing to the size of the genome or the average number of times each base is measured in the genome.
Bulk RNA-Seq is a method that analyzes pooled RNA from cells or tissues.
RNA sequencing strandedness allows researchers to determine which DNA strand (sense or antisense) a transcript came from. Compared to regular RNA sequencing methods, stranded RNA sequencing can find novel transcripts, distinguish transcripts from overlapping genes, find antisense sequences, and annotate genes.
Visit the Illumina Stranded mRNA Prep page for more information.
In mRNA library preparation methods, mRNA is selected via oligodT beads from total RNA, so libraries are prepared only from polyadenylated transcripts from samples. In total RNA workflows, rRNA and select other abundant transcripts are depleted from samples, and the remaining RNAs are prepared into sequencing libraries, including polyadenylated and non-polyadenylated RNAs. In enrichment workflows, libraries are prepared from all RNA samples. These libraries are subsequently enriched using an oligo probe panel. Panels can target full coding exomes, transcripts associated with specific diseases, RNA from pathogens, or custom targets. For more information on these workflows, visit the following pages:
Extracted RNA must be purified and free of contaminants. Illumina recommends following the guidelines provided in your particular RNA isolation kit and selecting an appropriate protocol for your sample type.
The following provides input ranges of RNA for your selected method:
Yes, RNA-Seq library preparation methods can be automated. Visit our Library Prep Automation page for more information.
Enter your email address.
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.