RNA sequencing (RNA-Seq) is revolutionizing the study of the transcriptome. A highly sensitive and accurate tool for measuring expression across the transcriptome, it is providing visibility to previously undetected changes occurring in disease states, in response to therapeutics, under different environmental conditions and across a broad range of other study designs.
RNA-Seq allows researchers to detect both known and novel features in a single assay, enabling the detection of transcript isoforms, gene fusions, single nucleotide variants, allele-specific gene expression and other features without the limitation of prior knowledge.
RNA-Seq is increasingly the method of choice for researchers studying the transcriptome. It offers numerous advantages over gene expression arrays.
Accurately measure gene and transcript abundance and detect both known and novel features in the coding transcriptome.Learn More
Accurately measure gene and transcript abundance and detect both known and novel features in coding and multiple forms of noncoding RNA.Learn More
Measure the expression of transcripts or pathways of interest. Perform differential expression analysis, measurement of allele-specific expression, and detection of gene fusions.Learn More
Isolate and sequence small RNA species, such as microRNA, to understand the role of noncoding RNA in gene silencing and posttranscriptional regulation of gene expression.Learn More
Deeply sequence ribosome-protected mRNA fragments to gain a complete view of all the ribosomes active in a cell at a specific time point and predict protein abundance.Learn More
Use deep RNA-Seq to examine the signals and behavior of a cell in the context of its surrounding environment. This method is advantageous for biologists studying cell function in time-dependent processes such as differentiation, proliferation, and tumorigenesis.Learn More
Detect both known and novel features of the RNA exome using sequence-specific capture of RNA coding regions. Achieve high-quality data from degraded samples.Learn More
Cancers accumulate numerous genetic changes, but typically only a few drive tumor progression. Monitoring gene expression and transcriptome changes with RNA-Seq can aid in understanding which variants are expressed, affecting tumor classification and progression. Learn about cancer RNA-Seq.
Microbial transcriptome and metatranscriptome information is important for predicting antibiotic resistance, understanding host–pathogen immune interactions, and tracking disease progression. RNA-Seq of bacterial and viral transcriptomes is a valuable method for analyzing this information. Explore microbial RNA-Seq.