Whole-transcriptome analysis with total RNA sequencing (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 optimal coverage in normal or low-quality samples. Species-specific ribosomal RNA probes can efficiently remove abundant RNA species. This leaves both fragmented and intact transcripts of interest for library capture.
Total RNA-Seq analyzes both coding and multiple forms of noncoding RNA for a comprehensive view of the transcriptome.
Dr. Avrum Spira, a pulmonary and critical care physician at Boston University Medical Center, started
a lab with the goal of analyzing samples with whole-genome gene expression arrays, to study
potential biomarkers for pulmonary disorders. Learn how Spira’s lab uses total RNA-Seq to uncover
novel and rare transcripts that may not be detectable on expression arrays.
Read Case Study.
Researchers at Biogazelle are using RNA-Seq to reveal how lncRNAs can be specific to cell types. They discovered that silencing certain lncRNAs can help destroy cancer cells.Read Interview
Illumina sequencing by synthesis (SBS) chemistry is the most widely adopted next-generation sequencing (NGS) technology, producing approximately 90% of global sequencing data.*
In addition to high-quality data, Illumina offers integrated whole-transcriptome sequencing workflows that simplify the entire process, from library preparation to data analysis and biological interpretation.
Monitoring gene expression changes in both coding and noncoding RNA biomarkers with total RNA-Seq can help researchers understand which variants affect tumor classification and progression. Learn more about cancer RNA-Seq.
Plants have large, repetitive genomes, which can make it difficult to sequence weakly expressed genes. Ultradeep RNA sequencing can facilitate analysis of these genes. Learn more about plant sequencing for agrigenomics.
Total RNA-Seq allows complex disease researchers to study coding and multiple forms of noncoding RNA in a single analysis, providing visibility to a broad range of potential disease-associated biomarkers. Learn more about complex disease research.
Find out how to utilize RNA-Seq to identify novel RNA-based drug response biomarkers. Access resources designed to help new users adopt this application. Learn more about RNA biomarker analysis for drug development.