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QIAseq Multimodal Panels

A single day sample to sequencing workflow for simultaneous enrichment and profiling of DNA variants, RNA fusions and gene expression levels from one sample input, as low as 10 ng

S_1001_9_QIAseq_Multimodal_Panel
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QIAseq Multimodal Panel (12)

Cat. No. / ID:   333932

Kit containing ALL reagents (except indices) sufficient to process 12 samples for multimodal (DNA and RNA) sequencing; fixed small panel for a total of 24 reactions
R$21,125.00
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PanelIndex
Panel
Index
Type
Small
High content
Samples
12
96
QIAseq Multimodal Panels은/는 분자생물학 분야에 사용하기 위한 것입니다. 이 제품들은 질병의 진단, 예방, 또는 치료 목적으로 사용할 수 없습니다.
Configure at GeneGlobe
Find or custom design the right target-specific assays and panels to research your biological targets of interest.

Features

  • Complete system to go from total nucleic acids to a sequencing-ready library using a single-day workflow
  • Error correction with Unique Molecular Indices (UMIs) to enhance NGS panel sensitivity
  • A single-primer extension (SPE) approach that overcomes the limitations of 2-primer amplicon approaches on amplicon size and primer multiplexing
  • Unique Dual Indices (UDIs) to reduce sample index hopping
  • Sample to Insight solution for consolidated targeted DNA and RNA sequencing

Product Details

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.

Principle

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:

  • Large amounts of sample material required for generating sufficient amounts of input DNA and RNA for multiple workflows
  • Added complexity of deriving integrated insights from results of different technical approaches, each with its own innate bias
  • Inefficient use of resources
  • Long turn-around times

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.

Procedure

Workflow of the QIAseq Multimodal Panels

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.

Robust detection of DNA and RNA biomarkers

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).

Applications

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.

From DNA:

  • Single nucleotide variants (SNVs)
  • Insertions and Deletions (InDels)
  • Copy number variants (CNVs)

From RNA:

  • Fusions
  • Exon skipping events
  • Gene expression levels

Resources

Brochures & Guides (5)
QIAseq Multimodal Analytical Technology
QIAseq Multimodal: The power of one
State-of-the-art technologies to fast-track and streamline NGS workflows
Simultaneous DNA and RNA profiling from a single, low-input sample in a day
Supplementary Files (1)
List of gene targets for QIAseq Pan-cancer Multimodal Panel
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