QIAseq FastSelect –rRNA HMR Kits
For rapid rRNA and/or globin mRNA removal for RNA-seq library preparation from human, mouse, rat and other mammalian samples.
QIAseq FastSelect –rRNA HMR and QIAseq FastSelect –Globin Kits use a novel method to remove highly abundant RNA that is of low scientific value from your RNA-seq libraries. Researchers using RNA-seq for whole transcriptome analysis can use QIAseq FastSelect –rRNA HMR to remove cytoplasmic and mitochondrial rRNA, while researchers starting with blood samples can use QIAseq FastSelect –rRNA/Globin to remove both rRNA and globin mRNA. For researchers who are enriching for mRNA from blood, and only want to remove globin mRNA, we recommend QIAseq FastSelect –Globin. QIAseq FastSelect –rRNA HMR and QIAseq FastSelect –Globin Kits remove more unwanted RNA and are 30% faster than our previous kit versions.
We recommend using QIAseq Stranded RNA Library Kits for robust strand-specific RNA-seq library preparation for high-quality and highly fragmented (FFPE) RNA.
Interested in customization of a QIAseq FastSelect –rRNA HMR or QIAseq FastSelect –Globin Kit for your samples? Contact us!
Want to try the QIAseq FastSelect –rRNA/Globin Kit for the first time? Request a trial kit to evaluate.
QIAseq FastSelect –rRNA HMR Kits are intended for molecular biology applications. These products are not intended for the diagnosis, prevention, or treatment of a disease.
Removing highly expressed, but biologically unimportant RNA transcripts makes NGS more efficient and enables higher sample throughput with higher sensitivity. Furthermore, removal of unwanted RNA species from FFPE samples and from degraded RNA samples is particularly challenging and can result in suboptimal performance.
QIAseq FastSelect is designed for quick, efficient removal of cytoplasmic and mitochondrial rRNA and/or globin mRNA from total RNA during NGS RNA library preparation. QIAseq FastSelect seamlessly integrates with your existing RNA stranded library preparation workflow for RNA removal in a single, 14-minute inline step. Prior to RNA heat fragmentation (which is optional and dependent upon the library preparation kit and sample type), QIAseq FastSelect removal reagent is directly combined with total RNA and the library preparation-specific buffers. After fragmentation, the reaction temperature is stepwise cooled to room temperature and the remaining library preparation steps are completed. There is no need to perform any type of enrichment on the total RNA samples. QIAseq FastSelect –rRNA HMR and QIAseq FastSelect –Globin Kits ensure consistently high performance with RNA amounts ranging from as little as 1 ng to 1 µg. QIAseq FastSelect can be used with RNA from fresh samples, as well as RNA from FFPE (formalin-fixed paraffin-embedded) samples or degraded RNA, and delivers reliable rRNA removal and high reproducibility in downstream applications.
Most RNA removal or depletion strategies associated with RNA-seq library construction are sample pre-treatment strategies involving hybrid-capture or enzymatic removal of unwanted RNA. Our unique QIAseq FastSelect procedure is compatible with QIAGEN, Illumina, KAPA and NEB stranded library preparation kits and provides complete rRNA removal in a single, 14-minute inline step. This is dramatically faster than alternative RNA depletion kits, which require pre-treatment protocols involving more than 25 steps and 2 hours to complete.
Simply add QIAseq FastSelect reagent (rRNA Removal and/or Globin Removal) to the RNA sample, perform fragmentation (if required), stepwise cool the reaction from 75°C to 25°C for 14 minutes and then complete the remaining library preparation steps. QIAseq FastSelect works with or without RNA fragmentation, providing the flexibility to use RNA from FFPE samples or degraded RNA samples, or high-quality RNA as part of a standard RNA-seq library construction workflow.
QIAseq FastSelect delivers rapid, reliable RNA removal from FFPE and fresh sample RNA sources. QIAseq FastSelect –rRNA HMR and QIAseq FastSelect –Globin Kits are available in a variety of different formats and sizes to suit your specific applications.
fragment fix placeholder