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 scientists:
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
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 in India are using RNA-Seq and other methods to study variants that may influence a deadly oral cancer.Read Interview
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
Single-cell approaches can help cancer researchers better understand tumor development, cancer stem cells, metastasis, and therapeutic response. Highly sensitive NGS-based RNA-Seq methods enable gene expression analysis of very low input samples, including single cells.Explore Single-Cell RNA-Seq
NGS can provide careful analysis of the cancer genome, and efficiently assess the tumor microenvironment as a real-time, highly sensitive monitor of immune marker expression in response to tumor growth or treatment.Learn More
Professors discuss how they use emerging single-cell sequencing technologies to capture the transcriptome, epigenome, epitranscriptome and proteome, to study tumor heterogeneity, cancer progression, and more.View Webinar
Swetha Anandhan from Dr. Padmanee Sharma's lab at MD Anderson Cancer Center highlights the use of single-cell RNA-Seq to identify CD73 as a combinatorial target in glioblastoma.View Webinar
Integration of DNA sequencing with RNA sequencing and other techniques can help determine the functional effects of cancer mutations in non-coding regions.View Webinar
By combining the analysis of RNA sequencing and image data, Professor Zlatko Trajanoski’s lab has devised a powerful workflow to enable immuno-oncology discoveries.View Webinar
Researchers at Weizmann Institute use DNA, RNA and epigenetic sequencing approaches to investigate how immune system cells interact with healthy tissue and tumor cells.Read Article
Dr. Åke Borg at Lund University discusses classification of breast tumors into subtypes based on patterns of gene expression, DNA methylation, nucleotide substitutions, and genomic rearrangements.Listen to Podcast
Illumina offers several library preparation, sequencing, and data analysis options for cancer RNA-Seq, including whole-transcriptome and targeted approaches. 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 simplify data analysis and interpretation, so you can spend less time analyzing data and more time focusing on your 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.Illumina RNA Prep with Enrichment
Achieve rapid, targeted interrogation of an expansive number of target genes with exceptional capture efficiency and coverage uniformity.AmpliSeq for Illumina Custom RNA Fusion Panel
A customizable targeted panel for detecting fusion genes and measuring gene expression.
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.Illumina Stranded Total RNA Prep with Ribo-Zero Plus
Rapid library preparation from a broad range of sample types, including FFPE, for studying the coding and non-coding 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.NextSeq 550 System
Combines tried-and-true instrument technologies and tunable output with sequencing and array capabilities.
Groundbreaking benchtop sequencers allow you to explore new discoveries across a variety of current and emerging applications, with higher efficiency and fewer restraints.NovaSeq 6000 System
Scalable throughput and flexibility for virtually any genome, sequencing method, and scale of project.
Performs alignment, quantification, and fusion detection.RNA-Seq Differential Expression
Enables differential gene expression analysis.MiSeq Reporter
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.
Provides accurate, ultra-rapid secondary analysis of sequencing data, including RNA-Seq data.BaseSpace Correlation Engine
A growing library of curated genomic data to support researchers in identifying disease mechanisms, drug targets, and prognostic or predictive biomarkers.