<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=461926130648047&ev=PageView&noscript=1">

kit for small

New study confirms that the QIAseq miRNA Library Kit is the most effective solution for miRNA biomarker detection by NGS

A recent study by Coenen-Stass et al., published in RNA Biol., evaluated the performance of QIAGEN’s QIAseq miRNA Library Kit, the NEXTflex Small RNA-Seq Kit v3 (Bioo Scientific), SMARTer smRNA-Seq Kit (Clontech/Takara) and NEBNext Small RNA Library Prep Set (New England Biolabs) based on sensitivity, specificity and accuracy of miRNA quantification, as well as workflow convenience. The comparison excluded Illumina’s TruSeq Small RNA Library Preparation Kits as they are unsuitable for low-input samples. The study revealed that the QIAseq miRNA Library Kit outperforms alternative small RNA sequencing kits on the market.

Here are the key findings of the study:

  • The QIAseq miRNA Library Kit provides the highest percentage of mapped reads from human plasma and serum, and murine brain tissue and is the most efficient for biofluids and tissue samples.
  • The QIAseq miRNA Library Kit shows the least skewed distribution of miRNA counts.
  • The QIAseq miRNA Library Kit offers the most convenient workflow, with less bead cleanup than NEXTflex (the QIAseq miRNA Library Kit can process up to 96 samples per library on Illumina sequencers).
  • NEBNext and SMARTer ranked the lowest in terms of performance. Despite performing well with tissue, NEBNext provided a very low percentage of mapped reads in biofluids, detected the lowest number of miRNAs, showed the highest bias towards particular miRNAs, included adapter dimers and involved an inconvenient workflow due to the need for size selection. SMARTer did not remove mRNA degraded products, resulting in a low percentage of mapped reads.
Responsive image

Read the publication

For further details on the comparison study and to examine the data, download the article!

Responsive image

Ready to rethink miRNA-seq?

Ready to ditch gels, minimize bias and adapter dimers, and experience gel-free miRNA-seq library prep from just 1 ng total RNA? Find out how