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Improving RNA-seq data from low-input and FFPE samples

About the webinar

Researchers are increasingly turning to RNA sequencing for gene expression analysis from challenging samples. These samples often include fine needle biopsies, micro-dissected tumors or highly fragmented RNA isolated from FFPE curls containing less than 1 ng of total RNA (i.e., low-input samples). One of the biggest bottlenecks that researchers encounter is the ability to prepare complete transcriptome RNA libraries without capturing all of the unwanted ribosomal RNA (rRNA) that makes up over 75% of the sample. Current rRNA removal methods are often designed only for use with full-length RNA or rely on capturing the coding RNA with specific enrichment probes. Both strategies can be time-consuming and involve complex workflows.

To address these challenges, QIAGEN has developed QIAseq FastSelect – an innovative rRNA removal technology. QIAseq FastSelect works with existing RNA library kits to inhibit cDNA synthesis of specific ribosomal transcripts, effectively removing them from the RNA-seq library. Designed to work after RNA fragmentation, QIAseq FastSelect is suitable for use with both high- and low-quality RNA. In this webinar, we will highlight how QIAseq FastSelect can be paired with various RNA library kits and workflows to decrease the amount of rRNA in your difficult samples. Discover how this powerful rRNA removal solution will increase RNA-seq sensitivity without increasing your sequencing costs.


Title: Improved RNA-seq data quality from low-input and FFPE samples using enzyme-free ribosomal RNA removal kits

Date: Tuesday, July 26, 2022

Time: 10:00 AM Eastern Daylight Time

Duration: 1 hour

Samuel Rulli, Ph.D.

Director, Global Product Management, RNA-seq profiling, NGS assay technologies QIAGEN

Dr. Samuel Rulli received his Ph.D. in Molecular and Cellular Biology from Tulane University in 2002,studying the gastric proton pump. After his postdoctoral training at Johns Hopkins University and the National Cancer Institute, he joined QIAGEN in 2009. As the Associate Director of Global Product Management for NGS technologies, Samuel has been instrumental in developing gene expression analysis solutions for qPCR and NGS.

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