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.
Streamlined, cost-efficient, and scalable library preparation for mRNA-Seq.
Desktop sequencer supporting multiple applications, enabling sequencing of 5-16 mRNA samples in a single run.
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 complex 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