Cat. No. / ID: 334932
QIAseq Multimodal Panels have been developed for consolidated targeted DNA and RNA enrichment and analyses. Unlike current approaches, QIAseq Multimodal Panels do not require 2 separate workflows for DNA and RNA analysis – saving time and conserving samples that are of limited availability.
Custom panels can be designed to target exonic regions of genes, hotspots or SNPs, intronic and promoter regions, known gene fusions based on characterized breakpoints, or to discover novel fusions.
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Recent advances in NGS chemistries, platforms, and bioinformatics pipelines are enabling users to efficiently interrogate biological samples for changes in DNA and RNA. Current approaches, however, require the use of 2 separate workflows to prepare libraries from separate DNA and RNA isolates. Limitations of such approaches include:
To overcome the limitations associated with current approaches, QIAseq Multimodal Panels start with total nucleic acids (or DNA + RNA) and prepares UDI-containing, Illumina-compatible targeted DNA and RNA libraries using a single-day, consolidated workflow. In addition, QIAseq Multimodal Panels have been designed for use with low-yield and poor-quality biological samples.
The QIAseq Multimodal Panel workflow can be used to prepare sequencing-ready libraries in a single day. The library insert size is approximately 150 bp, making the QIAseq Multimodal Panels highly compatible with low-quality samples, such as FFPE samples.
QIAseq Multimodal Panels can be used to reliably detect DNA and RNA biomarkers using a consolidated workflow from total nucleic acids. The ability of QIAseq Multimodal Panels to simultaneously detect DNA and RNA biomarkers has been benchmarked against two separate workflows (namely, QIAseq Targeted DNA and QIAseq Targeted RNAscan Panels).
QIAseq Multimodal Panels can be used to interrogate different types of biomarkers using a consolidated workflow from total nucleic acids, which can be isolated using dedicated sample isolation protocols that have been developed specifically for the QIAseq Multimodal Panels.