NGS workflows

NGS workflows

With the advances brought by next-generation sequencing (NGS), RNA-seq has become critical for a diverse range of studies of the many different types of RNA. Current technologies go well beyond looking at just mRNA expression and include sequencing miRNA as well as entire transcriptomes. Several techniques have been developed recently to overcome key challenges and improve results by, for example, depleting rRNA and by targeting specific sets of transcripts using digital RNA-seq.

rRNA removal

Improve RNA-seq with effective rRNA removal
During RNA-seq library preparation, highly abundant RNAs that are of low scientific value, such as rRNA and/or globin mRNA, can use up valuable sequencing capacity, jeopardizing the ability to achieve on-target gene expression reads. Effective removal of unwanted RNA is a critical step prior to RNA-seq.
The novel QIAseq FastSelect rRNA Removal technology removes unwanted RNAs in a single pipetting step from mammalian, bacterial, plant and even yeast RNA samples. Whether you’re looking to remove cytoplasmic and mitochondrial rRNA for whole transcriptome analysis or get rid of globin mRNA for gene-expression research using blood samples, the new technology can maximize usable reads.
Workflow
Webinar on next-generation rRNA removal:
The R&D team lead a discussion of how we developed and benchmarked our QIAseq FastSelect rRNA Removal Kits for human, mammalian, bacterial, plant and yeast samples using both high-quality and severely fragmented total RNA.
View webinar
Webinar] Next-generation rRNA removal: Evolution of new technologies for mammalian, bacterial, plant and yeast samples
Ribosomal RNA removal: The most underestimated step in RNA-seq optimization
Read the story of Dr. Fabienne Desmots-Loyer, Hospital Rennes, and find out how QIAseq FastSelect saved tby providing high-quality libraries from FFPE cancer samples previously rejected for processing by two commercial labs due to high levels of RNA degradation and low yields.
Read the story
Ribosomal RNA removal: The most underestimated step in RNA-seq optimization

QIAseq solutions

Biomarker discovery

Sample to Insight for optimized miRNA biomarker discovery
QIAseq miRNA sequencing solutions for miRNA, piRNA and small RNA expression analysis, as well as discovery of novel small RNAs, offer small RNA NGS library preparation and quality control of sample preparation and NGS performance.
Find out more
QIAseq miRNA
Webinar – “The truth about RNA sequencing”
Learn from one of our top experts in the field, Dr. Barbara R. Gould, and the many years of experience gained by QIAGEN Genomic Services. This webinar covers issues including library preparation, sequencing parameters, quality control, data analysis and validating NGS results.
Go to webinar
The truth about RNA sequencing

NGS for microRNA detection

3’ RNA sequencing

The advantages of 3’ sequencing
The use of 3’ RNA sequencing has been instrumental in cell signaling pathways to meet the increasing need for high-throughput solutions that also ensure increased accuracy, specificity and sensitivity. These user stories explain how they gained high-throughput 3' transcriptome NGS from ultralow amounts of RNA for gene expression analysis.
Encapsulation boosts islet-cell signature in differentiating human induced pluripotent stem cells via integrin signaling
“For us, the QIAseq UPX 3’ Transcriptome approach was a life-saver, allowing high-throughput sequencing on ultralow amounts of RNA isolated from hard-to-process samples. The pilot results obtained with QIAGEN Genomic Services exceeded our expectations. In my opinion, this is certainly an approach to keep in mind when the RNA quantity is below the minimal threshold.” Simon Chera, Ph.D., Associate Professor, University of Bergen.
Read the Nature publication
Encapsulation boosts islet-cell signature in differentiating human induced pluripotent stem cells via integrin signaling
Webinar – uncovering the connection
"QIAGEN's UPX 3’ Transcriptome service allowed us to generate a large-scale RNA-seq data set that facilitated our discovery of key gene expression changes that drive our disease model." Matthew Dodson, Ph.D., Post-Doctoral Researcher, University of Arizona.
View the webinar
[Webinar] Uncovering the connection between arsenic and type II diabetes

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