Focus on RNA coding regions to maximize RNA-Seq discovery power

Sequence-specific capture for accurate, sensitive RNA exome analysis

RNA Exome Capture Sequencing

Achieve cost-effective, accurate, and sensitive RNA exome analysis of even difficult samples without sacrificing gene fusion discovery power. Many RNA exome sequencing methods focus on a defined number of known transcripts or require expensive deep sequencing. RNA exome capture sequencing overcomes these challenges by combining RNA-Seq with exome enrichment.

This method captures only the coding regions of the transcriptome, allowing higher throughput and requiring lower sequencing depth than non-exome capture methods. Sequence-specific capture of the RNA exome does not rely on the presence of a poly-A tail. This makes RNA exome capture sequencing ideal for RNA-Seq with low-quality samples or limited starting material.

Isolating transcriptome coding regions maximizes discovery power at a fraction of the read depth of total RNA sequencing.

  • Enables high sample throughput and cost efficiency
  • Focuses on high-value content for affordability
  • Achieves high-quality data from degraded samples, including formalin-fixed, paraffin-embedded (FFPE) tissues
  • Requires low sample input (as little as 10 ng total RNA) while maintaining high sensitivity
Advantages of RNA Exome Capture Sequencing
Transcriptome Analysis with NGS

Illumina Distinguished Scientist Dr. Gary Schroth demonstrates the latest advances in RNA-Seq technology. Learn how the latest RNA library prep methods allow transcriptome analysis from challenging samples, like single cells or FFPE tissues.

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Transcriptome Analysis with NGS screenshot

Illumina sequencing by synthesis (SBS) chemistry is the most widely adopted NGS technology, generating more than 90% of global sequencing data.*

In addition to industry-leading data quality, Illumina offers integrated RNA exome capture workflows that simplify the entire process, from library preparation to data analysis and biological interpretation.

Click on the below to view products for each workflow step.

TruSeq RNA Exome

Low all-in cost solution for RNA exome sequencing of low input and degraded samples, including FFPE samples. Accurately measure gene and transcript abundance and detect both known and novel features in the RNA exome.

TruSight RNA Pan-Cancer

Targeting 1385 oncology genes for gene expression, variant and fusion detection in all RNA sample types, including FFPE.

NextSeq 550 System

Flexible power and simplicity for whole genome, exome, or transcriptome sequencing. 5—16 RNA exome capture samples per run.

HiSeq 4000 System

Production power. High throughput and low cost for production-scale genomics. Up to 24 RNA exome capture samples per run.

BaseSpace TopHat Alignment App

Maps reads, performs abundance estimations of reference genes and transcripts, calls variants, and offers optional fusion calling.

BaseSpace Cufflinks Assembly & Differential Expression (DE) App

Assembles novel transcripts and performs differential expression of novel and reference transcripts.

Cancer Research
Cancer Research

Explore genomics-based approaches to investigating cancer using NGS. Find tools to help you uncover novel insights into the biology of cancer. Learn more about cancer genomics research.

Complex Disease Genomics
Complex Disease Research

Find NGS solutions to advance disease research in areas from immunology to neuroscience, high-throughput genomics, and more. Learn more about complex disease research.

Find the Right Kit

Determine the best library prep kit or array for your needs based on your starting material and method of interest.

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RNA-Seq Data Analysis
RNA-Seq Data Analysis

User-friendly software tools simplify mRNA-Seq data analysis for biologists, regardless of bioinformatics experience.

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Buyer’s Guide: Simple RNA-Seq Workflows
Buyer’s Guide: Simple RNA-Seq Workflows

Evaluating options for next-generation RNA sequencing.

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Gene Panel and Array Finder
Gene Panel and Array Finder

Identify sequencing panels or microarrays that target your genes of interest.

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*Data calculations on file. Illumina, Inc., 2015