Awarded contract

Published

Conract for provision of QIAsec Targeted DNA Custom panels & QIAsec 96-Index I Set A

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Value

2,000,000 GBP

Current supplier

Qiagen UK Ltd

Description

The Royal Marsden Hospital NHS Foundation Trust needs to purchase QIAsec Targeted DNA custom panels & QIAsec 96-Index I Set A reagents for molecular biology applications. QIAseq Targeted DNA Panels enable sample-to-insight, targeted next-generation sequencing (NGS) of DNA. This highly optimized solution facilitates ultrasensitive variant detection using integrated unique molecular indices (UMIs) from cells, tissue and biofluids. The required amount of template for a single QIAseq Targeted sequencing reaction ranges from 10 to 40 ng for fresh DNA or 40 to 250 ng for FFPE DNA. The QIAseq Targeted DNA Panels have been developed as a complete Sample to Insight solution to enable digital DNA sequencing by utilizing molecular barcodes. Digital DNA sequencing is a unique approach to detect low-frequency variants with high confidence by overcoming the issues of PCR duplicates, false positives and library bias. Each panel is a one-box, NGS platform-agnostic solution that contains all the necessary components to construct libraries from enriched genomic targets. Primer design is based on single primer extension, in which each genomic target is enriched by one target-specific primer and a universal primer, a strategy that removes conventional two target-specific primer design restriction and reduces the amount of required primers. All primers required for a panel are pooled into an individual primer pool to reduce panel handling and number of pools required for enrichment and library construction. Platform-specific indexes, which are contained in a separate box, allow the multiplexing of up to 384 samples per sequencing run. The unique buffer and enzyme system used in the QIAseq targeted DNA panels has been optimized to achieve high coverage of GC-rich genomic regions. Custom panels can be designed to target exonic regions of genes, hotspots or SNPs, as well as intronic and promoter regions.

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