Monitoring gene expression and transcriptome changes with cancer RNA sequencing (RNA-Seq) can aid in understanding tumor classification and progression. Cancers accumulate numerous genetic changes, but typically only a few drive tumor progression. Cancer RNA-Seq can help to determine which variants are expressed in cancer samples.
Clinical researchers at Avera Health rely on next-generation sequencing to uncover multiple drug-susceptible tumorigenic pathways.Read Interview
Researchers are using RNA-Seq to reveal how lncRNAs could be used to identify, measure, and treat cancer.Read Interview
Researchers compared two TruSeq RNA kits to identify the optimal library prep method for their cancer gene expression studies.Read Interview
Sequencing the coding regions or the whole cancer transcriptome can provide valuable information about gene expression changes in tumors. Cancer RNA-Seq enables detection of strand-specific information, an important component of gene regulation. Cancer transcriptome sequencing captures both coding and noncoding RNA and provides strand orientation for a complete view of expression dynamics.Learn More About RNA-Seq
Targeted RNA amplicon sequencing analyzes the expression of specific cancer genes. Predesigned cancer gene expression panels focus on relevant pathways, such as p53 and NFκB. Researchers can add custom content to broaden the scope of an experiment.Learn About Targeted RNA-Seq
Genomic regions containing deleted or amplified miRNA loci have been linked to multiple forms of cancer. Small RNA-Seq enables the discovery and profiling of miRNAs and other small, noncoding RNAs present in the cancer transcriptome.Learn About Small RNA-Seq
Formalin-fixed, paraffin-embedded (FFPE) tumor samples potentially contain valuable information about cancer pathogenesis and outcomes. Because FFPE samples generally contain partially degraded RNA, cancer RNA-Seq can pose challenges. Next-generation RNA-Seq methods enable researchers to access this important data, yielding high-quality results from degraded and FFPE-derived RNA.Learn About FFPE RNA-Seq
Illumina offers several library preparation, sequencing, and data analysis options for cancer RNA-Seq. Streamlined library prep workflows and flexible kit configurations accommodate multiple study designs. Illumina systems deliver industry-leading data quality—in fact, approximately 90% of the world’s sequencing data are generated using Illumina sequencing by synthesis (SBS) chemistry.
Push-button apps in BaseSpace Sequence Hub simplify data analysis, so you can spend less time analyzing data and more time focusing on the next breakthrough.
Click on the below to view products for each workflow step.
Targeting 1385 oncology genes for gene expression, variant and fusion detection in all RNA sample types including FFPE.TruSight Tumor 170
Comprehensive panel detects single-nucleotide variants (SNVs), amplifications, and fusions that contribute to solid tumor progression.TruSeq RNA Exome
A reproducible, economical method for sequencing coding RNA from FFPE and other low-quality samples.AmpliSeq for Illumina Custom RNA Fusion Panel
A customizable targeted panel for detecting fusion genes and measuring gene expression.
Precise measurement of mRNA strand orientation for detection of antisense transcription and discovery of alternative transcripts, gene fusions, and allele-specific expression.TruSeq Stranded Total RNA Library Prep Kit
Scalable solution for whole-transcriptome analysis that delivers accurate strand information for a complete view of the transcriptome.TruSeq Small RNA Library Prep Kit
Sensitive kit for microRNA analysis.AmpliSeq for Illumina Custom RNA Panel
Targeted custom RNA research panels optimized for sequencing up to 1200 targets of interest.
Simplest and most affordable solution for low-throughput targeted gene expression profiling.MiSeq System
Desktop sequencer featuring a simple NGS workflow, integrated data analysis software, and unmatched accuracy.MiSeqDx Instrument
FDA-cleared in vitro diagnostic NGS system that also operates in research mode to generate accurate, reliable data.
Aligns RNA reads with the STAR aligner, followed by differential expression with DESeq2.TopHat Alignment App
Performs spliced alignment, variant calling, and reference quantification for RNA samples.Cufflinks Assembly & DE App
Performs novel transcript assembly and differential expression analysis on RNA samples.
Easy-to-use software for analysis and variant calling on the MiSeq System.BaseSpace Sequence Hub
The Illumina genomics computing environment for NGS data analysis and management.BaseSpace Correlation Engine
A growing library of curated genomic data to support researchers in identifying disease mechanisms, drug targets, and prognostic or predictive biomarkers.