Allen Institute researchers use mRNA-Seq to analyze gene expression in individual neurons and classify V1 neural cells.
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. Next-generation sequencing (NGS)-based mRNA-Seq delivers a comprehensive view of the coding transcriptome that is not restricted by the filter of prior knowledge.
mRNA-Seq provides a number of advantages for 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.
Our fastest, simplest benchtop system for mRNA sequencing.
Performs alignment, quantification, and fusion detection.
DRAGEN Differential Expression
Enables differential gene expression analysis.
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.
Advances in RNA-Seq library prep are revolutionizing the study of the transcriptome. Our enhanced RNA sequencing library prep portfolio spans multiple types of sequencing studies, from mRNA-Seq to total RNA-Seq and more. These solutions offer rapid turnaround time, broad study flexibility, and sequencing scalability.
Illumina offers mRNA sequencing workflows that simplify the entire process, from library preparation to data analysis and biological interpretation.
Allen Institute researchers use mRNA-Seq to analyze gene expression in individual neurons and classify V1 neural cells.
Single-cell analysis in developmental biology
Cole Trapnell, PhD discusses his lab's experience with single-cell mRNA-Seq and his efforts to make bioinformatics tools available to all.
Learn about read length and depth requirements for RNA-Seq and find resources to help with experimental design.
Monitoring gene expression changes with mRNA-Seq can help researchers identify biomarkers predictive of disease prognosis or response to therapy.
RNA-Seq-based gene expression profiling studies can provide visibility into how genetic and environmental factors contribute to a broad range of diseases.
Explore innovative genomics and multiomics solutions designed to accelerate drug discovery and development.
User-friendly software tools simplify RNA-Seq data analysis for biologists, regardless of bioinformatics experience.
Study cellular differences often masked by bulk sampling and explore highly sensitive single-cell sequencing methods.
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.
All Illumina sequencing systems are capable of paired-end sequencing, which facilitates detection of novel RNA transcripts, gene fusions, and more.
Talk to an expert to learn more about mRNA-Seq solutions.