RNA-seq workflows are often time- and labor-intensive and can struggle to deliver consistent performance with low RNA inputs and challenging FFPE tissue and blood samples.
The Watchmaker RNA Library Prep Kit with Polaris® Depletion depletes rRNA and globin transcripts in a simple, rapid workflow while improving coverage of biologically interesting transcripts, including long non-coding RNAs.
Designed for reliable RNA-seq from challenging sample types
- Increase sensitivity with clinically relevant samples, including FFPE and blood
- Generate high-complexity libraries in under 4.5 hours, from 1 to 1000 ng inputs as low as 1 ng
- Effective depletion of rRNA and globin* transcripts for a comprehensive view of the transcriptome
- Streamlined, automation-friendly workflow with fewer purification steps
* Globin depletion in human only
Deep dive into the data and see how stranded, quantitative libraries are generated in under 4.5 hours with as little as 1 ng - even from challenging FFPE and blood samples.
DOWNLOAD THE BROCHURE
Process more samples easily with a simple, rapid workflow
Improve automatability and reduce turnaround time. The Watchmaker solution combines and shortens enzymatic steps while reducing bead purifications, enabling a highly automatable workflow with up to 1 hour less hands-on time per plate and up to 1,000 fewer pipette tips per plate compared to other workflows.
Sensitive performance with clinically relevant samples
Access more information from FFPE samples ... MORE
Increase gene detection with low-input samples ... MORE
Sensitive performance with clinically relevant samples
Access more information from FFPE samples. Libraries were prepared in duplicate from 10 ng of a matched fresh frozen and FFPE sample set using Watchmaker RNA Library Prep with Polaris Depletion, KAPA RNA HyperPrep with RiboErase (HMR) Globin, NEBNext Ultra II Directional RNA Library Prep with Globin & rRNA Depletion, and Illumina Stranded Total RNA Prep, Ligation with Ribo-Zero Plus. Data were downsampled to 11M paired reads per library. Unique genes were identified using featureCounts with a cutoff of 5 deduplicated raw reads. Only genes identified in both technical replicates were counted. In a gene detection overlap analysis between the fresh frozen and FFPE data sets for each chemistry, Watchmaker FFPE libraries detect a significantly higher percentage of the unique genes identified in the fresh frozen control.
Sensitive performance with clinically relevant samples
Increase gene detection with low-input samples. Libraries were prepared from a whole blood sample in triplicate using the RNA inputs indicated. Data were randomly downsampled to 16M paired reads per library. Unique genes identified using featureCounts with a cutoff of 5 deduplicated raw reads.
Talk with a sequencing specialist
Request a sample, discuss your application, or obtain pricing information.