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:
Take advantage of bulk RNA-Seq with its exceptionally well-defined workflows backed by thousands of peer-reviewed scientific publications. Ease of use and the low cost of implementation make RNA-Seq an ideal method to obtain high-quality transcriptomic data for those new to NGS.
Learn more about NGS for beginnersAlthough cancer cells contain many mutations, only a few contribute to cancer initiation and progression. Researchers can use bulk RNA-Seq to examine the complete set of RNA transcripts produced by a genome. Data from the RNA-Seq experiment can reveal whether mutations result in transcriptomic changes that either drive cancer or act as passenger mutations.
RNA-Seq can reveal pathways that are up- or down-regulated in cancer. This functional information is crucial for identification of molecular targets for precision therapeutics. Targeting upregulated pathways, for example, is a common method for suppressing tumor growth.
Studies into the transcriptomic differences between cancer samples and non-cancerous tissue have been shown to be useful in differentiating cancer subtypes, assessing the impact of mutations, identifying biomarkers, and other variables.
Bulk RNA-Seq can identify genes and pathways associated with biological responses to novel cancer therapies, such as immunotherapeutics in model systems or retrospective studies using past tissue samples.
RNA-Seq allows researchers to detect known and novel features in a single assay, enabling the identification of transcript isoforms, gene fusions, single nucleotide variants, and other features without the limitation of prior knowledge.
Learn more about single-cell RNA sequencing to examine the transcriptomes of individual cells for a high-resolution view of cell-to-cell variation.
See how mRNA-Seq can identify both known and novel transcript isoforms, gene fusions, and other features, as well as allele-specific expression for a complete view of the coding transcriptome.
Learn how total RNA-Seq can accurately measure gene and transcript abundance and identify known and novel transcriptome features.
Explore the unique advantages of this method that simultaneously quantifies cell surface protein and transcriptomic data within a single cell readout.
Explore how this method can provide a topographical arrangement of gene expression patterns mapped onto tissue sections to link structure and activity.
The Cancer Research Methods Guide is a 40+ page comprehensive resource with simple, comprehensive workflows for a broad range of cancer research applications. This guide includes single-cell sequencing, spatial sequencing, methylation profiling, multiomics, cell-free RNA sequencing, and more.
Download free guideA high-performance, fast, and complete whole-exome sequencing kit including library prep and hybridization reagents, a comprehensive exome probe panel, clean up/size selection beads, and indexes.
Illumina Total RNA Prep with Ribo-Zero Plus provides exceptional performance for the analysis of coding and multiple forms of noncoding RNA.
Illumina RNA Prep with Enrichment uses on-bead tagmentation technology followed by simplified, single hybridization to provide an exceptionally fast workflow for RNA-based library prep and enrichment.
These cost-efficient, user-friendly, mid-throughput benchtop sequencers offer extreme flexibility to support new and emerging applications.
The NovaSeq X Series offers vast application breadth, enabling data-intensive methods at production scale.
Accurate, comprehensive, and efficient analysis of NGS data, including alignment, quantification, fusion detection, and differential gene expression analysis.
Correlation Engine is an interactive omics knowledgebase that puts private omics data in biological context with highly curated public data.
A diverse country with younger-than-average cancer patients launches a national initiative to understand the genetics of oncology.
Researchers are using RNA-Seq to reveal how lncRNAs could be used to identify, measure, and treat cancer.
Targeted RNA sequencing analyzes the expression of specific cancer genes and transcripts of interest.
Download the infographic to learn the basics of genome and transcriptome sequencing at a glance.
Watch the new in-lab quick start video to learn how to prepare high quality DNA and RNA samples for multiomic sequencing.
Learn how to link the causes and consequences of complex phenotypes through multiomics to enable discoveries that weren’t possible before.