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RNA Exome Capture Sequencing

Introduction to 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.

Advantages of RNA Exome Capture Sequencing

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
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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RNA Exome Capture Sequencing Workflow

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.

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RNA Sequencing Considerations

Each RNA-Seq experiment type—whether it’s gene expression profiling, targeted RNA expression, or small RNA analysis—has unique requirements for read length and depth. This bulletin reviews experimental considerations and offers resources to help with study design.

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RNA Sequencing Considerations
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Additional Resources

RNA-Seq Data Analysis
RNA-Seq Data Analysis

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

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

Evaluating options for next-generation RNA sequencing.

Gene Panel and Array Finder
Gene Panel and Array Finder

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

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