Transcriptomics
Accelerating transcriptomics research with NGS
High-impact discovery power with RNA sequencing
What is transcriptomics?
Transcriptomics is the complete study of the transcriptome which includes all RNA molecules found within an organism. Using next-generation sequencing (NGS) technology, RNA sequencing (RNA-Seq) continues to expand the frontiers of biology whether the need is to interrogate a few genes at a time or to profile genome-wide gene expression levels in a single experiment.
Regardless of the approach, RNA-Seq enables higher discovery power owing to its wide detection, high sensitivity, and low bias while having scalable capabilities for high-throughput applications.
Next-generation sequencing accelerates transcriptomics research
Download the ebook to learn how discoveries enabled by transcriptomics have impacted our understanding of biology.
Download eBookExplore the transcriptome for deeper insights
Learn how RNA-Seq can reveal anywhere from the full transcriptome to targeted sequences of interest. Sensitively capture changes in gene expression or characterize multiple forms of RNA to unravel its structure, variation, and activity without the limitation of prior knowledge. Explore various techniques to learn how the discovery power of RNA-seq can empower high-impact research.
Total RNA sequencing
Learn how total RNA sequencing (total RNA-Seq) can analyze whole transcriptomes to capture known and novel sequences in coding and noncoding regions.
mRNA sequencing
See how mRNA sequencing (mRNA-Seq) can provide a highly sensitive and accurate view of the coding transcriptome.
RNA exome sequencing
Achieve cost-effective, accurate, and sensitive RNA exome analysis of even difficult samples without sacrificing gene fusion discovery power.
Targeted RNA sequencing
Explore how targeted RNA-Seq can be used as a highly accurate technique for sequencing specific transcripts in a variety of sample types.
How is transcriptomics used in multiomic profiling?
Explore advanced methods that use transcriptomics for a more comprehensive view of biology. See how transcriptomics can provide unprecedented biological insights when combined with genomics and protein analysis.
Analyzing cloud data for multiomics
Researchers at Okayama University in Japan use Illumina Connected Analytics with DRAGEN pipelines for analyzing whole-genome, exome, transcriptome, and metagenome data.
Cell surface protein and transcriptomics
Investigators show how the use of a novel multiomic method to identify surface proteins and transcriptomes at the single-cell level.
Insights into Parkinson’s disease
This study describes the cellular basis of complex brain diseases and reveals an unexpected role of oligodendrocytes in Parkinson's disease through genomic and transcriptomic analyses.
Streamline your transcriptomics workflow
Prepare Libraries
RNA Library Preparation
Rapid and scalable solutions to analyze transcriptomes. Illumina Total RNA Prep with Ribo-Zero Plus provides exceptional performance for the analysis of coding and multiple forms of noncoding RNA. Illumina Stranded mRNA Prep offers a streamlined RNA-Seq solution for clear and comprehensive analysis across the transcriptome.
Sequence
Production-Scale Sequencers
Access multiple omics on a single instrument. Deep and broad coverage through advanced applications for a comprehensive view of omic data with the NovaSeq X Series and NovaSeq 6000 Sequencing System.
Benchtop Sequencers
Flexible, affordable, and scalable to help both new and experienced users achieve fast turnaround times and reduced operating costs with NextSeq 1000 and NextSeq 2000 Sequencing Systems.
Analyze Data
Illumina Connected Analytics
A secure genomic data platform to operationalize informatics and drive scientific insights.
DRAGEN Analysis
Accurate, comprehensive, and efficient secondary analysis of next-generation sequencing data.
Correlation Engine
Correlation Engine is an interactive knowledge base where users can put their private multiomic data into biological context with highly curated public multiomic data.
Workflows for RNA sequencing
Explore our comprehensive guide detailing Illumina solutions for next-generation RNA sequencing applications.
Download GuideFeatured research in transcriptomics
Single-cell multiomic and spatial transcriptomic datasets
An approach for modeling epigenetic regulation of gene expression from single-cell multiomic data.
Precision immunotherapies using tumor-specific HLA ligands
Annika Sonntag, PhD explains how using NGS helped her team obtain broader RNA data and measure exon-specific RNA expression.
The time is now for microbiome studies
Whole-genome shotgun sequencing and transcriptomics provide researchers and pharmaceutical companies with data to refine drug discovery and development.
Biomarker discovery with cell-free RNA
Download this overview detailing a noninvasive, cell-free approach to discover biomarkers from whole blood for potential use in cancer studies.
Analyzing bulk and single-cell data
This eBook provides is your comprehensive guide on analyzing bulk and single-cell data for NGS-based workflows.
Drug response biomarker studies
Find out how to utilize RNA-Seq to discover and profile RNA-based drug response biomarkers. Access resources designed to help researchers adopt this application.