nCounter® CAR-T Characterization Panel
Helping Your Research
The nCounter CAR-T Characterization Panel was created in collaboration with experts in CAR-T therapy to facilitate the development of robust product release assays. Confidently profile CAR-T products for research and manufacturing applications with an automated, and reproducible assay. Ideally suited for new CAR-T development and QC, the CAR-T Characterization Gene Expression Panel can help streamline the CAR-T manufacturing workflow and potentially reduce vein to vein time. This panel can measure eight essential components of CAR-T biology with 780 human genes.
Empower your knowledge of CAR-T with the most up-to-date biology developed with experts in the field.
- Optimize CAR-T method development
- Create manufacturing acceptance criteria
- Measure metabolic fitness and persistence
- Monitor post-infusion exhaustion and toxicity

Panel Selection Tool
Find the gene expression panel for your research with easy to use panel pro
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Partnerships
NanoString is excited to be working with Servier (as project leader), Bayer, Janssen, and Takeda as partners with the Innovative Medicines Initiative (IMI) Consortium in the European Union to develop gold standard analytical methods to use throughout development, manufacturing, and delivery of CAR-T cell therapies. The IMI is the largest public-private partnership in the world dedicated to health research.
The TCR Diversity report is available for purchase separately from NanoString for use within the ROSALIND® Platform and evaluates the expression of variable regions of the T cell receptor. The variable regions are assessed for overall expression (above or below background) and normalized to a panel standard which allows for more precise quantification of these variable regions. An estimate of TCR Diversity is calculated and shown relative to designated grouping variables.
The TCR score calculates the diversity of T cell receptor beta variable regions within a sample. The score is based on the Shannon Diversity index calculation, a mathematical measure of species diversity within a community. This ecological calculation accounts for the abundance and evenness of the variable regions present within a given sample versus the population of T cell receptors within a given dataset. A given score is relative within a dataset, and a higher TCR score means there is a more diverse population of variable regions or a less clonal population. A lower TCR score means there is less diversity or a more clonal population. True clonality can only be determined by full sequencing of the T cell receptors, but clonality can be estimated by measuring the diversity of TCR beta variable regions.
Download a demo version of the TCR Diversity Report and open the corresponding TCR Diversity Report-Readme file.
ROSALIND is a cloud-based platform that enables scientists to analyze and interpret differential gene expression data without the need for bioinformatics or programming skills. ROSALIND makes analysis of nCounter data easy, with guided modules for:
- Normalization
- Quality Control
- Individual Pathway Analysis
- Differential Expression
- Gene Set Analysis
nCounter customers can access ROSALIND free of charge.
Related Resources
Publications
Therapeutically expanded human regulatory T-cells are super-suppressive due to HIF1A induced expression of CD73.
The adoptive transfer of regulatory T-cells (Tregs) is a promising therapeutic approach in transplantation and autoimmunity. However, because large cell numbers are needed to achieve a therapeutic effect, in vitro expansion is required.
CAR T cells with dual targeting of CD19 and CD22 in pediatric and young adult patients with relapsed or refractory B cell acute lymphoblastic leukemia: a phase 1 trial.
Chimeric antigen receptor (CAR) T cells targeting CD19 or CD22 have shown remarkable activity in B cell acute lymphoblastic leukemia (B-ALL). The major cause of treatment failure is antigen downregulation or loss.
A novel non-viral delivery method that enables efficient engineering of primary human T cells for ex vivo cell therapy applications.
Background aims: Next-generation immune cell therapy products will require complex modifications using engineering technologies that can maintain high levels of cell functionality. Non-viral engineering methods have the potential to address limitations associated with viral vectors.
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