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DepleteX Single Cell RNA Boost Kit

The DepleteX® Single Cell RNA Boost Kit employs a CRISPR-based method to selectively remove unwanted reads allowing you to cut through the noise with minimal impact on your workflow and maximum confidence in your results.

For research use only. Not for use in diagnostic procedures.

Part number: NOVA-512850
List price: USD 6,000.00
Your price:
USD 6,000.00
USD 6,000.00 /each

Overview

Enhance usable single-cell RNA-seq data using DepleteX ® Single Cell RNA Boost Kit

DepleteX ® efficiently removes abundant and uninformative fragments before sequencing, reallocating 50% of sequencing clusters to informative reads that would typically be filtered out during secondary analysis. This kit utilizes Cas9 depletion with an optimized guide set to target ribosomal and mitochondrial mRNA, non-transcriptomic reads, and highly expressed non-variable genes. Additionally, the kit provides a separate tube for non-variable gene depletion, which can be included or excluded as required.

The DepleteX® Single Cell RNA Boost Kit empowers you to reduce noise and optimize usable data in your single-cell RNA sequencing.

Key highlights:

  • Enhance secondary analysis with ~50% more useful reads
  • Verified for both short-read and long-read sequencing.
  • Efficiently removes ribosomal, mitochondrial, non-transcriptomic reads, and optionally non-variable genes from single-cell libraries
  • Streamlined 3-step protocol
  • Tested with 10X genomics and other single cell sequencing workflows

Additional product information

DepleteX Single Cell RNA Boost Kit reads-mapped-increase v3


Figure 1: Double the reads mapped to the transcriptome with the DepleteX® Single Cell RNA Boost Kit.

Fig 2. DepleteX Single Cell RNA Boost KitS


Figure 2: 1.5x improvement in detection with depletion

Specifications

Shipping Conditions
Shipped in Dry Ice
Unit Size
24 rxns

References

  1. Currenti, J., Qiao, L., Pai, R., Gupta, S., Khyriem, C., Wise, K., Sun, X., Armstrong, J., Crane, J., Pathak, S., Yang, B., George, J., Plummer, J., Martelotto, L., & Sharma, A. (2022). STOmics-GenX: CRISPR-based approach to improve cell identity-specific gene detection from spatially resolved transcriptomics. bioRxiv. Advance online publication.
  2. Pandey, A. C., Bezney, J., DeAscanis, D., Kirsch, E., Ahmed, F., Crinklaw, A., Choudhary, K. S., Mandala, T., Deason, J., Hamdi, J., Siddique, A., Ranganathan, S., Ordoukhanian, P., Brown, K., Armstrong, J., Head, S., & Topol, E. J. (2022). A CRISPR/Cas9-based enhancement of high-throughput single-cell transcriptomics. bioRxiv. Advance online publication.

Resources

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Transforming bottlenecks into breakthroughs: solutions for single-cell sequencing workflows

Technological advancements have rapidly boosted the adoption of single-cell sequencing experiments – by increasing the number of...

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