RNA Sequencing

Introduction to RNA Sequencing

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

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Propelling Progress with RNA-Seq

RNA sequencing can have far-reaching effects on research and innovation, transforming our understanding of the world around us.

Benefits of RNA Sequencing

RNA-Seq with next-generation sequencing (NGS) is increasingly the method of choice for scientists studying the transcriptome.

  • Covers an extremely broad dynamic range
  • Provides sensitive, accurate measurement of gene expression
  • Captures both known and novel features; does not require predesigned probes
  • Generates both qualitative and quantitative data
  • Reveals the full transcriptome, not just a few selected transcripts
  • Can be applied to any species, even if a reference sequence is not available
RNA Sequencing Empowers Transcriptomics

Learn how RNA-Seq is advancing transcriptome research in various fields, and how gene regulation studies can provide complementary information.

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New To NGS?

Find out how Illumina NGS technology works and what types of experiments it enables.

How Can I Use NGS to Analyze RNA?

Learn about key RNA-Seq methods. Find out how they differ to help you determine the method most appropriate for your research.

Show Key RNA-Seq Methods 

How Can I Apply RNA-Seq?

Study gene expression and transcriptome changes with cancer RNA-Seq.

Analyze pathogen transcriptome signatures with microbial RNA-Seq.

Study drug response RNA biomarkers.

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Featured RNA Sequencing Articles

Precision Immunotherapies Using Tumor-Specific HLA Ligands
Precision Immunotherapies Using Tumor-Specific HLA Ligands

RNA-Seq and HLA typing are increasing the power and efficiency of a target discovery platform.

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The Time Is Now for Microbiome Studies
The Time Is Now for Microbiome Studies

Transcriptomics and whole-genome shotgun sequencing provide researchers and pharmaceutical companies with data to refine drug discovery and development.

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Circulating RNA
Cell-Free RNA as a Noninvasive Biomarker

This research highlights the broad potential of circulating cell-free RNA sequencing for biomarker discovery and noninvasive health monitoring.

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Library Prep for RNA Sequencing

Library Prep for RNA Sequencing

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

Experimental Considerations for RNA-Seq

Plan Your RNA-Seq Experiments

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Additional Resources

COVID-19 Host Risk and Response

Identify genetic variants linked to COVID-19 disease severity and profile the immune response to SARS-CoV-2 with NGS and microarrays.

Unlock a New Spatial View of Multicellular Tissues

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.

NextSeq 1000 and 2000 single-cell RNA-Seq solution

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.

  1. Wang Z, Gerstein M, Snyder M. RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet. 2009;10:57–63.
  2. Wilhelm BT, Landry JR. RNA-Seq—quantitative measurement of expression through massively parallel RNA sequencing. Methods. 2009;48:249–57.