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nCounter SPRINT™ Profiler

THE END OF CANCER?

One of the greatest obstacles in the fight against cancer is the pace of cancer research itself. For targeted profiling experiments, the nCounter SPRINT Profiler is a leap forward in efficiency – single-molecule counting technology that accelerates the pace of cancer research to realize promising cures.

The End of Cancer?

TAKE THE NEXT STEP

Explore the breakthrough product.

nCOUNTER TECHNOLOGY IS NOW MORE ACCESSIBLE

The introduction of the nCounter SPRINT Profiler makes access to NanoString’s molecular barcode technology more affordable than ever before.

COMPREHENSIVE CONTENT FOR STUDYING CANCER

Intelligently designed panels measure pathway dysregulation, tumor progression, and the immune response to cancer.

ACCELERATES ONCOLOGY RESEARCH

A broad view of biology combined with a streamlined workflow makes the nCounter SPRINT Profiler ideal for measuring many samples across multiple time points and drug combinations.

ROBUST TECHNOLOGY1

The simple and automated workflow helps to ensure reproducible results, without the need for replicates2, so that members of the research community can accelerate the network effect of their important work.

 

THE END OF RT-qPCR?

Single-molecule counting offers the promise of one molecule, one count – and thus the ability to perform highly multiplexed analyses with exceptional precision and specificity. View entire pathways and networks without the complexities of many parallel RT-qPCR assays. With respect to cancer research, RT-qPCR now belongs in a museum, not a lab.

The End of RT-qPCR?

TAKE THE NEXT STEP

Explore the breakthrough product.

SINGLE-TUBE MULTIPLEXING

Measure 10s to 100s of genes in a single tube. Utilize a single nCounter CodeSet as your target-specific reagent and reduce potential errors associated with managing multiple qPCR assays and pipetting steps during set up.

DIGITAL PRECISION

Avoid potential pitfalls associated with reverse transcription. The efficiency of reverse transcription is dependent on sample and enzyme quality as well as many other assay conditions. Some investigators have reported wide ranges in expression of mRNAs from the same sample, typically varying between 2- and 3-fold3.

DATA ANALYSIS AND NORMALIZATION

The capability of multiplexing up to 800 targets affords more normalization flexibility – you have more genes and controls to choose from for finding the optimal set of “housekeepers” for normalization. This is achieved without interrupting the workflow or navigating cycle threshold settings.

MEASURE MORE BIOLOGY

Simultaneously measure protein and RNA with the same instrument to harmonize multi-omic data integration. Gain a deeper insight with less sample.


THE END OF TARGETED RNA-SEQ?

The nCounter SPRINT Profiler has a simplified workflow that is radically streamlined in comparison to using targeted RNA-Seq for profiling experiments. Targeted RNA-Seq has its place for discovery, but not in a cancer research lab that is interested in translating targeted oncology signatures.

The End of Targeted RNA-SEQ?

TAKE THE NEXT STEP

Explore the breakthrough product.

SIMPLIFIED WORKFLOW

Directly count targets of interest by eliminating library prep: cDNA synthesis, hybridization, adaptor ligation, amplification, PCR cleanup, and library normalization4.

DIGITAL PRECISION

Avoid potential pitfalls associated with reverse transcription. The efficiency of reverse transcription is dependent on sample and enzyme quality as well as many other assay conditions. Some investigators have reported wide ranges in expression of mRNAs from the same sample, typically varying between 2- and 3-fold3.

SPEED

Target many genes of interest with an nCounter CodeSet or Panel. Ten minutes of hands-on time, overnight hybridization, and approximately 6 hours of automated processing time produces raw data that can be analyzed without waiting for sophisticated bioinformatics analysis.

MEASURE MORE BIOLOGY

Simultaneously measure protein and RNA with the same instrument to integrate multi-omic data. Detector harmonization avoids the challenge of comparing different data types. Gain a deeper insight with limited samples.


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