mRNA sequencing (mRNA-Seq) has rapidly become the method of choice for analyzing the transcriptomes of disease states, of biological processes, and across a wide range of study designs. In addition to being a highly sensitive and accurate means of quantifying gene expression, mRNA-Seq can identify both known and novel transcript isoforms, gene fusions, and other features as well as allele-specific expression. mRNA-Seq delivers a complete view of the coding transcriptome that is not restricted by the filter of prior knowledge.
Analyze the coding transcriptome in standard mRNA samples with this seamless workflow solution.View Recommended Workflow
mRNA-Seq provides a number of advantages over gene expression arrays in analyzing the transcriptome.
Ratio compression is an established technical limitation of gene expression arrays that reduces dynamic range and can mask or alter measured transcriptional changes.1–3 In contrast, mRNA-Seq is not subject to this bias and provides more comprehensive and accurate measurements of gene expression changes.
Additionally, mRNA-Seq can provide strand information, which enables the detection of antisense expression, allows more accurate quantification of overlapping transcripts, and increases the percentage of alignable reads.
A simple, scalable, cost-effective, rapid single-day solution for analyzing the coding transcriptome leveraging as little as 25 ng input of standard (non-degraded) RNA.
These cost-efficient, user-friendly, mid-throughput benchtop sequencers support mRNA-Seq plus a wide variety of other current and emerging applications.
Allen Institute researchers use mRNA-Seq to analyze gene expression in individual neurons and classify V1 neural cells.Read Interview
Dr. Colin Trapnell discusses his lab's experience with single-cell mRNA-Seq and his efforts to make bioinformatics tools available to all.Read Interview
Learn about read length and depth requirements for RNA-Seq and find resources to help with experimental design.Read Technical Bulletin
Quantify gene expression, identify known and novel isoforms in the coding transcriptome, detect gene fusions, and measure allele-specific expression with our enhanced RNA-Seq library prep solutions.Learn More
Illumina sequencing by synthesis (SBS) chemistry is the most widely adopted NGS technology, producing approximately 90% of global sequencing data.*
In addition to our industry-leading data quality, Illumina offers integrated mRNA-Seq workflows that simplify the entire process, from library preparation to data analysis and biological interpretation.
Monitoring gene expression changes with mRNA-Seq can help researchers identify biomarkers predictive of disease prognosis or response to therapy. Learn more about cancer RNA-Seq.
RNA-Seq-based gene expression profiling studies can provide visibility into how genetic and environmental factors contribute to a broad range of diseases. Learn more about gene expression profiling.
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 drug response RNA biomarker analysis.
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*Data calculations on file. Illumina, Inc., 2015