Total RNA sequencing

Capture both coding and noncoding RNA for a comprehensive picture of the transcriptome

Introduction to total RNA sequencing

Whole-transcriptome analysis with total RNA sequencing (total RNA-Seq) detects coding plus multiple forms of noncoding RNA. Total RNA-Seq can accurately measure gene and transcript abundance, and identify known and novel features of the transcriptome.

Total RNA-Seq provides coverage of both high-quality and low-quality RNA samples. Species-specific ribosomal RNA probes can efficiently remove abundant RNA species. This leaves both fragmented and intact transcripts of interest for library capture.

Advantages of total RNA sequencing

Total RNA-Seq analyzes both coding and multiple forms of noncoding RNA for a comprehensive view of the transcriptome.

Captures both known and novel features; does not require predesigned probes

Allows researchers to identify biomarkers across coding and noncoding RNA transcripts

Enables a comprehensive understanding of phenotypes of interest

Allows profiling of the whole transcriptome across a wide dynamic range

Total RNA sequencing workflow

Illumina offers a whole-transcriptome sequencing workflow that simplifies the entire process, from library preparation to data analysis and biological interpretation.

Library prep

Sequencing

Data analysis & insights

RNA sequencing methods guide

This guide provides solutions for profiling RNA, from targeted panels to the whole transcriptome. Illumina RNA-Seq workflows integrate library prep, sequencing, and data analysis to support transcriptome research.

Library prep for RNA-Seq

Our enhanced RNA-Seq library prep portfolio includes removal of abundant rRNA, so you can focus on high-value portions of the transcriptome.

Learn more about RNA library prep

Female scientist holding a single pipette in one hand and a tube in the other.

RNA-Seq articles

RNA sequencing considerations

Learn about read length and depth requirements for RNA-Seq and find resources to help with experimental design.

Using NGS to study rare genetic diseases

Whole-exome and transcriptome sequencing prove beneficial in uncovering mutations and pathways associated with rare disease.

Deciphering the role of lncRNA in cancer

Jo Vandesompele, PhD from Biogazelle discusses research findings that silencing certain long non-coding RNAs (lncRNAs) can help destroy cancer cells.

Additional resources

RNA-Seq data analysis

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

RNA-Seq of low-quality and FFPE samples

RNA-Seq of formalin-fixed, paraffin-embedded (FFPE) and other low-quality samples offers valuable insights for disease research.

Paired-end RNA-Seq

All Illumina sequencing systems are capable of paired-end sequencing, which facilitates detection of novel RNA transcripts, gene fusions, and more.

Single-cell RNA sequencing

Study cellular differences often masked by bulk sampling and explore highly sensitive single-cell sequencing methods.

Speak to a specialist

Talk to an expert to learn more about total RNA-Seq solutions.

Total RNA sequencing

Introduction to total RNA sequencing

Advantages of total RNA sequencing