Accelerating transcriptomics research with NGS

High-impact discovery power with RNA sequencing

what is transcriptomics illustration

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.

transcriptomics ebook cover
Next-generation sequencing accelerates transcriptomics research

Download the ebook to learn how discoveries enabled by transcriptomics have impacted our understanding of biology.

Download eBook

Explore 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.

transcriptomics ebook cover
Workflows for RNA sequencing

Explore our comprehensive guide detailing Illumina solutions for next-generation RNA sequencing applications.

Download Guide

Featured 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.