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QIAseq Targeted RNAscan Custom Panel - 1001-1100
  • QIAseq Targeted RNAscan Custom Panel - 1001-1100
QIAGEN

QIAseq Targeted RNAscan Custom Panel - 1001-1100

Price on request

SKUPriceQuantity
333625

Price on request

Description

QIAGEN offers a complete Sample to Insight solution for digital RNA sequencing with its QIAseq Targeted RNAscan Panels. The system applies a molecular barcode-based strategy to quantify known and new fusion genes, tagging targets with molecular barcodes before amplification to overcome the issues of PCR duplicates and library bias. A unique single primer extension approach allows detection of new fusion gene partners, and a proprietary data-analysis pipeline supports highly confident identification of low-abundance fusion transcripts and novel fusions.

Each panel contains all the components needed to construct libraries from enriched targets. The panels are platform-agnostic, working on both Illumina and Ion Torrent instruments. Primer design is based on single primer extension, in which each target is enriched by one target-specific primer and one universal primer, reducing the primer requirement. All primers required for a panel are pooled into an individual primer pool to reduce handling and the number of pools required for enrichment and library construction. Platform-specific indexes, supplied in a separate box, allow multiplexing of up to 384 samples per sequencing run.

Custom panels can be designed to target known gene fusions based on characterized breakpoints, or to discover novel fusions using exon- or gene-based designs. The complete workflow, from extracted RNA to sequencing-ready libraries, can be completed in 9 hours, with cDNA conversion, molecular barcoding, target enrichment, and library construction on the bench. Sequencing files are processed through the QIAseq pipeline, a cloud-based data analysis tool that filters, maps and aligns reads, counts unique molecular barcodes associated with targeted regions, and calls fusions. The resulting data can then be interpreted using QCI. The panels support detection of known and novel gene fusions from a wide range of sample types across numerous applications.