Understanding the Cancer Transcriptome
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.
Cancer RNA-Seq to Detect Transcriptome Changes
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-SeqTargeted Cancer Gene Expression Profiling
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-SeqCancer RNA-Seq Research Articles
Cancer RNA-Seq for Precision Oncology Research
Clinical researchers at Avera Health rely on next-generation sequencing to uncover multiple drug-susceptible tumorigenic pathways.
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Deciphering the Role of Long Non-Coding RNA in Cancer
Researchers are using RNA-Seq to reveal how lncRNAs could be used to identify, measure, and treat cancer.
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Exploring the Genetic Basis of Oral Cancer
Researchers in India are using RNA-Seq and other methods to study variants that may influence a deadly oral cancer.
Read InterviewSmall RNA in the Cancer Transcriptome
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-SeqRNA-Seq Analysis of Single Cancer Cells
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-SeqFrequently Purchased Together
Products for Cancer RNA Sequencing
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 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.
TruSight
RNA Pan-Cancer
Targeting 1385 oncology genes for gene expression, variant and fusion detection in all RNA sample types including FFPE.
TruSight Tumor 170Comprehensive panel detects single-nucleotide variants (SNVs), amplifications, and fusions that contribute to solid tumor progression.
TruSeq RNA ExomeA reproducible, economical method for sequencing coding RNA from FFPE and other low-quality samples.
AmpliSeq for Illumina Custom RNA Fusion PanelA customizable targeted panel for detecting fusion genes and measuring gene expression.
TruSeq
Stranded mRNA Library Prep Kit
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 KitScalable solution for whole-transcriptome analysis that delivers accurate strand information for a complete view of the transcriptome.
TruSeq Small RNA Library Prep KitSensitive kit for microRNA analysis.
AmpliSeq for Illumina Custom RNA PanelTargeted custom RNA research panels optimized for sequencing up to 1200 targets of interest.
MiniSeq
System
Simplest and most affordable solution for low-throughput targeted gene expression profiling.
MiSeq SystemDesktop sequencer featuring a simple NGS workflow, integrated data analysis software, and unmatched accuracy.
MiSeqDx InstrumentFDA-cleared in vitro diagnostic NGS system that also operates in research mode to generate accurate, reliable data.
NextSeq 550 System
Flexible desktop sequencing system to perform various cancer RNA-Seq applications, including whole-transcriptome analysis and cancer gene expression profiling.
NovaSeq 6000 SystemScalable throughput and flexibility for virtually any genome, sequencing method, and scale of project.
DRAGEN RNA Pipeline
Performs alignment, quantification, and fusion detection.
RNA-Seq Differential ExpressionEnables differential gene expression analysis.
MiSeq ReporterEasy-to-use software for analysis and variant calling on the MiSeq System.
BaseSpace Sequence HubThe Illumina genomics computing environment for NGS data analysis and management.
DRAGEN Bio-IT Platform
Provides accurate, ultra-rapid secondary analysis of sequencing data, including RNA-Seq data.
BaseSpace Correlation EngineA growing library of curated genomic data to support researchers in identifying disease mechanisms, drug targets, and prognostic or predictive biomarkers.
RNA Biomarkers for Drug Response
RNA sequencing (RNA-Seq) is increasingly being used to discover and profile RNA-based drug response biomarkers. Find resources designed to help you adopt RNA-Seq for biomarker analysis, including a workflow introduction, experimental considerations, and start-up advice.
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RNA-Seq for Cancer Transcriptome Analysis
Learn about RNA-Seq for transcriptome analysis of single cancer cells.
Genomic Technologies for Cancer Research
Explore various genomic approaches to cancer research. Learn how cancer RNA-Seq can provide detailed information about gene expression in tumors.
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Removing Cancer's Veil: TruSight Tumor 170
An enrichment-based cancer research assay interrogates both DNA and RNA, detecting small variants, gene amplifications, gene fusions, and splice variants.
FFPE RNA-Seq
Next-generation RNA-Seq methods enable researchers to access valuable data from degraded and FFPE-derived samples.
Analyzing the Colorectal Cancer Transcriptome
Researchers use RNA-Seq and DNA analysis to study stromal signatures and identify genes that may drive cancer progression.