Why are scientists switching to digital RNAseq for gene expression profiling?
In standard RNA sequencing, the reads from random positions of input RNAs are mapped on a reference genome to reveal a map of transcripts. The number of transcript reads aligned to each gene gives a measure of its expression level.
Conventional library prep strategies for NGS are based on PCR which introduces sequence-based bias and amplification noise thus resulting in inaccurate quantification. Digital RNAseq eliminates these inaccuracies by counting the barcodes that are attached to the cDNA sequence before PCR amplification. QIAseq Targeted RNA panels integrate the molecular barcode technology and a two-state PCR-based library prep to deliver accurate results. How do these panels work?
Controls for digital RNAseq
A unique feature of the QIAseq Targeted RNA Panels is the set of built-in control assays. The gDNA assays control for any gDNA contamination in the RNA sample to ensure reproducible results. The housekeeping gene (HKG) assays are used to normalize data, thereby making sample-to-sample and run-to-run comparisons possible.
Targeted custom RNA panels
The QIAseq Targeted RNA Custom PanelBuilder is an online tool used to build fully customized panels for gene expression using RNAseq or to extend the contents of an existing QIAseq Targeted RNA Panel.
Analyzing digital RNAseq data
An integral component of the QIAseq Targeted RNA Panels is data analysis and insight. Data analysis modules are easy to use and requires no bioinformatics expertise. Starting with raw reads directly off the sequencer, the QIAseq targeted RNA data analysis tools at QIAGEN’s GeneGlobe portal, provide you with gene counts and fold changes, as well as links for pathway analysis.
Contact DigitalRNAseq@qiagen.com for a personal consultation