CRISPRclean Single Cell RNA Boost Kit
Boost usable single cell data with CRISPRclean.
increase in genes detected per cell*
decrease in sequencing reads*
Traditionally, single cell data processing incorporates certain filtering and normalization steps prior to cell clustering and downstream interpretation. Instead of removing those reads in-silico, CRISPRclean® removes those reads in-vitro ahead of sequencing, redistributing 50% sequencing clusters to unique biologically relevant transcripts —allowing you to maximize gene and UMI sensitivity.
CRISPRclean leverages Cas9 depletion and a specifically designed guide set to remove reads that are filtered before secondary analysis. CRISPRclean Single Cell RNA Boost Kit gives you the ability to cut through the noise with minimal impact on your workflow, and maximum confidence in your results.
How can we boost your single cell research?
Gain a deeper view of expression profiles of individual cells
1.5x improvement in gene and UMI detection sensitivity
Boost usable data by cutting wasted sequencing by 50%
Depletes sequences not used for secondary analysis including unaligned reads, ribosomal, mitochondrial, and non-variable genes
|Samples per kit||24|
|Assay time||2 hours|
|Hands-on time||45 minutes|
|Input||Uses one of four Chromium cDNA aliquots per prep|
|Method||Single cell 3’ gene expression libraries for 10x Genomics|
|Designed to deplete||Unaligned reads, ribosomal, mitochondrial, non-variable genes|
|Jumpcode validated||10x Genomics Chromium Next GEM Single Cell 3’ Reagent Kits v3.1|
Simple 3-step protocol integrated into 10x Genomics® Chromium™ Next GEM Single Cell 3’ workflow
Download helpful CRISPRclean Single Cell RNA Boost Kit product documents.
100% increase in reads mapped to the transcriptome with CRISPRclean Single Cell RNA Boost Kit.
1.5x improvement in detection sensitivity with depletion
Boost in detection sensitivity of genes and UMIs per cell for depleted PBMC samples compared to undepleted sample.
Gain a deeper view of expression profiles
One additional cell type was identified in PBMC samples treated with CRISPRclean. UMAP plots of cell clusters with and without depletion using PBMC samples showed that depletion did not perturb cell type calls.
Connect with us to learn more.
For the US patent, the patent number is US 10,604,802 entitled Genome Fractioning. The patent publication is available at https://patentimages.storage.googleapis.com/22/2a/ef/6657ca336c9c08/US10604802.pdf
For the EP patent, the patent number is EP3102722 entitled Genome Fractioning. The patent publication is available at https://patentimages.storage.googleapis.com/a7/54/96/52ed494ab92016/EP3102722B1.pdf
*Data from PBMC’s, some variance expected with different cell types