nCounter® is widely recognized as an ideal platform for biomarker development in numerous fields of study.

Oncology

Cancer is not a single enemy, but a legion of diverse and deadly foes. Each type of cancer has its own characteristics, behaviors and vulnerabilities. To fight this complex and multifaceted challenge, we need a research approach that is equally diverse and adaptable. Theracues offers cutting-edge molecular tools that allows you to see the bigger picture of cancer, from its genes and proteins to its interactions and adaptations. With our multiomic approach, we can accelerate the discovery and development of novel biomarkers and therapies that can make a difference in the lives of cancer patients.
Targeted Gene Expression
1. 360° View of Gene Expression
PanCancer IO 360™ Panel
Breast Cancer 360™ Panel
Tumor Signaling 360 Panel
Gives you a 360° view of gene expression by combining carefully-curated content involved in the biology of the tumor, microenvironment, and the immune response into a single holistic assay.
4. PanCancer Immune Profiling Panel
Measure gene expression with 770 genes representing all major cancer pathways including: Wnt, Hedgehog, apoptosis, cell cycle, RAS, PI3K, STAT, MAPK, Notch, TGF-β, chromatin modification, transcriptional regulation, and DNA damage control
7. TCR Diversity Panel
Directly profile 129 human genes, including T cell receptor variable and constant regions and other T cell markers:

CD3/CD4/CD8
Naive & Memory Markers
NK Cell Markers
Measure shifts in TCR diversity in response to disease or therapeutic treatments, simultaneously measure TCR diversity and T cell phenotype with a streamlined workflow
Obtain a report with a TCR diversity score for each sample
CD3/CD4/CD8
Naive & Memory Markers
NK Cell Markers
Measure shifts in TCR diversity in response to disease or therapeutic treatments, simultaneously measure TCR diversity and T cell phenotype with a streamlined workflow
Obtain a report with a TCR diversity score for each sample
CD3/CD4/CD8
Naive & Memory Markers
NK Cell Markers
Measure shifts in TCR diversity in response to disease or therapeutic treatments, simultaneously measure TCR diversity and T cell phenotype with a streamlined workflow
Obtain a report with a TCR diversity score for each sample
CD3/CD4/CD8
Naive & Memory Markers
NK Cell Markers
Measure shifts in TCR diversity in response to disease or therapeutic treatments, simultaneously measure TCR diversity and T cell phenotype with a streamlined workflow
Obtain a report with a TCR diversity score for each sample
2. PanCancer Pathways Panel
Measure gene expression with 770 genes representing all major cancer pathways including: Wnt, Hedgehog, apoptosis, cell cycle, RAS, PI3K, STAT, MAPK, Notch, TGF-β, chromatin modification, transcriptional regulation, and DNA damage control.
5. CAR-T Characterization Panel
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
8. Lymphoma Subtyping Test
The LST CodeSet contains probes for the 20 genes within the LST signature, 15 target genes and 5 reference genes. determines the Cell-of-Origin (COO) molecular subtype of samples run on the RUO LST CodeSet. Samples are reported as one of the two molecular subtypes, Activated-B-Cell (ABC), Germinal Center-B-Cell (GCB), or Unclassified. The Linear Predictor Score (LPS) is also reported.
3. PanCancer Progression Panel
Cancer progression involves multiple processes and mechanisms that are highly interconnected. The nCounter® PanCancer Progression Panel lets you perform multiplex gene expression analysis with 770 genes from each step in the cancer progression process including: angiogenesis, extracellular matrix remodeling (ECM), epithelial-to-mesenchymal transition (EMT) and metastasis.
Comprehensive gene expression analysis of cancer progression
Quantify gene expression of metastatic growth and suppressor genes
Rapidly and easily screen samples for biomarker discovery or drug mechanism of action to support your research
6. PAM50 - Research use
PAM50 is a 50-gene signature that is used to classify breast cancer into four molecular intrinsic
subtypes: Luminal A, Luminal B, Basal-like, and HER2-enriched. The clinical and prognostic characteristics of these subtypes have been extensively studied. The companion PAM50 signature report calculates subtypes by comparing expression for PAM50 genes and centroids of the gene sets for each of the four subtypes, resulting in a set of correlation values for each sample
Prosigna Score / ROR Score:
The ROR Score has been validated to predict the risk of recurrence of disease in ER+ breast cancer after surgery and treatment with 5 years of endocrine therapy. The ROR score depends upon the biology of the intrinsic subtypes, the proliferation score of the tumor, and the tumor size as shown in the equation below:

ROR = aRLumA + bRLumB + cRHer2 + dRBasal + eP + fT

Each of the R variables in the equation above indicate the Pearson correlation coefficient of the PAM50 expression profile for the tumor compared to each of the prototypical centroids for the intrinsic subtypes shown in the heatmap below. P is the proliferation score, which is the average gene expression profile of genes associated with cell-cycle progression and T is the tumor stage.
Figure: Heatmap of PAM50 genes by subtype. Red is higher
expression and green is lower expression
9. Canine IO Panel
Profile 800 genes across 47 annotated pathways involved in canine immune response to IO treatments
Overlapping content with NanoString’s Human PanCancer IO 360 and PanCancer Immune Profiling Panels provides a suite of panels for comparative studies
PanCancer coverage with tumor specific content for top canine cancers including Melanoma, Osteosarcoma, Lymphoma, Urothelial Carcinoma, and Glioblastoma.

Immunology

The immune system often plays a role in the onset and progression of different disorders such as autoimmunity, fibrosis, and cancer. Understanding which cell types, cytokines, pathways, and transcription factors are involved in the balance between immune activation and suppression can lead to better treatments for chronic inflammation and disease. In addition to traditional bulk expression and proteomic analysis, spatial profiling of the location of immune cells in tissue can yield a better understanding of disease pathogenesis, uncovering differences within individuals as well as novel biomarkers for stratification and treatment.
Immunology
1. Immunology Panel
Includes major classes of cytokines and their receptors, enzymes with specific gene families such as the major chemokine ligands and receptors, interferons and their receptors, the TNF-receptor superfamily, and the KIR family genes. 84 genes involved with the anti-fungal immune response are also included.
Ideal for the study of allergy, autoimmune diseases, and the immune response to infectious disease
Unique mouse genes address known differences such as unique receptor ligands, Ig receptors and chemokines
Over 500 general immunology genes.
4. Autoimmune Profiling
Evaluate the pathways, processes, and cell types involved in autoimmune disease, chronic inflammatory disease, and immunotherapy-related adverse events.
Analyze autoimmune biomarkers rapidly without the need for qPCR or NGS.
Therapeutic mechanism of action (MOA) studies
Immunotherapy-induced adverse event investigations
Discovery/validation of disease and therapeutic specific biomarkers
Development of predictive signatures of drug response
Compatible with challenging sample types such as PBMCs and FFPE
2. Myeloid Innate Immunity
The Myeloid Innate Immunity Panel is designed to encompass all aspects of the innate immune response of myeloid-derived cells and can be used for basic and translational research in immuno-oncology, autoimmunity, and infectious disease. The panel is curated to include the most current and relevant genes and is available in both human and mouse versions. Use the Myeloid Innate Immunity Panel to study:
Mechanisms of immune evasion
Damage response, wound healing & tissue repair
Immune regulation
Disease pathogenesis
Treatment response vs. non-response
5. Human Organ Transplant
Comprehensively profile 770 genes across 37 pathways to identify biomarkers for rejection, uncover the mechanisms of tissue damage, and study toxicities brought on by immunosuppressive drugs.
Study the immune response to transplanted tissue
Discover biomarkers for organ rejection and tissue damage for kidney, heart, liver, and lung
Evaluate immunosuppressive drug pathways
Understand mechanisms behind drug-induced toxicity
Identify BK Polyomavirus, Cytomegalovirus, and Epstein-Barr virus
Quantify the relative abundance of 14 different immune cells
3. Inflammation
Genes represent a broad range of relevant pathways related to inflammation that include apoptosis, EGF, interleukin signaling, Ras, T cell receptor and Toll-like receptor signaling. Panel highlights include:
Content useful for the study of asthma, allergy, arthritis, and neurological-related inflammation
Coverage of anti-inflammatory drugs that modulate the inflammatory response
Overlapping coverage between Human and Mouse panels for direct species comparison
6. Fibrosis
Fibrosis Panel helps uncover the mechanisms of disease pathogenesis, identify biomarkers of progression, and develop signatures for therapeutic response. This gene expression panel combines hundreds of genes involved in the initial tissue damage response, chronic inflammation, proliferation of pro-fibrotic cells, and tissue modification that leads to fibrotic disease of the lungs, heart, liver, kidney, and skin.
Elucidate the mechanism of action behind the four stages of fibrosis: initiation, inflammation, proliferation, and modification
Understand the signaling cascade from cell stress to inflammation
Quantify the relative abundance of 14 different immune cell types
Infectious Disease

Infectious Disease

1. Host Response
The Host Response Panel helps rapidly advance knowledge of emerging infectious disease, Study the five elements of the host response in human or mouse samples by profiling 785 genes in human or mouse genes across 50+ pathways. Identify and validate biomarkers for disease severity and evaluate the effect of vaccines & therapies.
Host Susceptibility
Interferon Response
Innate Immune Cell Activation
Adaptive Immune Response
Homeostasis
Develop signatures of host response dynamics
2. Immune Exhaustion
Uncover the mechanisms behind T cell, B cell, and NK cell exhaustion in diverse contexts, including cancer and infectious disease, with a 785 gene panel. Characterize immune status, develop signatures for assessing the exhausted state, and identify novel therapeutic targets to prevent or reverse exhaustion.
Immune Activation
Immune Suppression
Immune Status
Immune Checkpoints
Epigenetics
Metabolism & Microenvironment
3. Viral Panel Plus
There are many applications in infectious disease research where viral detection is useful, such as understanding how the viral life cycle affects the host response, disease pathogenesis, the impact of antivirals and vaccines, and chronic infection. It can be difficult with RNA sequencing to detect viral transcripts in infected samples due to the overwhelming amount of host material present.

The targeted and customizable nature of nCounter® technology makes it easy to profile transcripts from the host and one or more pathogens simultaneously. Probes for pathogens can be added as a Panel Plus spike-in to an off-the-shelf human or mouse Gene Expression Panel or included in a de novo Custom CodeSet. The nCounter® Viral Panel Plus Menu is a list of pre-designed Research Use Only probes for eight viruses associated with chronic disease and/or cancer. You can use the pre-designed probes as is in a Panel Plus design or mix and match probes from different viruses to create your own Panel Plus of choice. Mechanisms of immune evasion
Damage response, wound healing & tissue repair
Immune regulation
Disease pathogenesis
Treatment response vs. non-response
Neuroscience

Neuroscience

1. Glial Profiling
The Host Response Panel helps rapidly advance knowledge of emerging infectious disease, Study the five elements of the host response in human or mouse samples by profiling 785 genes in human or mouse genes across 50+ pathways. Identify and validate biomarkers for disease severity and evaluate the effect of vaccines & therapies.

Profile 770 human or mouse genes across 50+ pathways involved in glial cell biology: Cell stress & Damage Response
Pathways Regulating Glia
Inflammation & Peripheral Immune Invasion
Glial Cell Homeostasis & Activation
Neurotransmission
Quantify the relative abundance of 5 CNS cell types and 14 peripheral immune cells
2. Neuroinflammation
Neuroinflammation Panels support and simplify your neuroinflammation research needs by providing a complete view of the complex interplay between the immune system and the Central Nervous System (CNS). These panels deliver a comprehensive evaluation of the pathways, processes, and cell types that are involved in neuroinflammation.
Gene expression profiling of neuroimmune interactions
The study of drug treatment response and signature generation
Biomarker characterization
Research of neurodegenerative disease, traumatic brain injury, psychiatric disorders, neuropathic pain, CNS infection, and others
3. Neuropathology
Neuropathology Panel helps perform comprehensive multiplex gene expression analysis in human or mouse samples with genes involved in six fundamental themes of neurodegeneration: neurotransmission, neuron-glia interaction, neuroplasticity, cell structure integrity, neuroinflammation, and metabolism.
Developed for research of Alzheimer's Disease, Parkinson's Disease, Amyotrophic Lateral Sclerosis, Frontotemporal Dementia, Huntington's Disease, and other neurological disorders
Includes unique cell typing feature for measuring the abundance of five important CNS cell types, including neurons, astrocytes, microglia, oligodendrocytes, and endothelial cells
4. Alzheimer's Disease
Easily assess and monitor primary molecular characteristics of Alzheimer's Disease (AD) with 770 standardized genes 770 gene made-to-order panel for human or mouse built as a Custom CodeSet
Comprehensive assessment of 30 AD-associated gene co-expression modules including 23 neurodegeneration pathways and processes
Reproducible monitoring of AD progression with age
Functional screening of potential AD therapeutics
AD characterization customizable with up to 55 additional user-defined genes with Panel Plus option

Cell & Gene Therapy

1. Gene Therapy Optimization
Gene Therapy Optimization Panel standardizes the entire gene therapy process from vector development and viral manufacturing to post-treatment monitoring. The panel content measures innate and adaptive immune responses, and addresses critical questions related to host-vector interactions. The panel can also be used to understand toxicities resulting from gene therapy treatmentsDirectly profile 800 genes across 40 pathways
Study processes known to impact gene therapy development and manufacturing
  1. Cell State
  2. Host-Vector Interactions
  3. Innate Immune Response
  4. Systemic Immunity
  5. Toxicity
Understand factors influencing optimal gene therapy development and manufacturing
Monitor for toxicities
Quantify the presence and relative abundance of different immune cell types present during therapy
Customize to incorporate therapy specific biology, enabling parallel monitoring of therapy and host response biology
2. Stem Cell Characterization
Stem cell therapy is a rapidly advancing field with applications across a broad range of research areas including neuroscience, cardiology, autoimmunity, ophthalmology, and oncology.
This panel measures the eight essential components of stem cell biology. Evaluate viability, confirm functionality and determine pluripotency with a single robust, automated, and reproducible assay. Assess stem cell health during production and easily detect contamination to quickly optimize cell culture conditions and expedite your research.

Directly profile 770 genes involved in stem cell biology
Stemness
Pluripotency
Regulatory Signaling
Epigenetics
Mechano-Signaling
Metabolism
Differentiation Signaling
Lineage Specification
Cardiovascular Disease

Cardiovascular Disease

1. CVD Pathophysiology
CVD Pathophysiology Panel enables researchers to explore how cardiovascular disfunction contributes to heart disease, hypertension and arteriosclerosis. The panel provides molecular insights with quick, actionable results. Study the cardiotoxic effects of immune therapies or assess the role of aging and cell renewal in cardiac regenerative medicine.
Cardiovascular Pathology
Cardiovascular Physiology
Vascular Inflammation
Cellular Aging & Renewal
Metabolism
Mechano Signaling
Regulatory Signaling
Epigenetic Remodeling

Panel can be used to measure cardiotoxicities resulting from therapeutic treatment and studying the MOA of approved CVD drugs. You can also quantify the presence and relative abundance of 16 cell types present in cardiac tissue.

Compatible with a variety of sample types including blood, cardiac tissue, organoids, engineered cell lines, explants, and organs on a chip

miRNA Expression Assay

Small, non-coding RNAs called microRNAs (miRNAs) can influence the gene expression of target mRNAs and affect various biological processes such as growth, development, and cell death. These miRNAs are stable and abundant in the circulation and can be associated with different diseases. This provides an opportunity to discover new biomarkers and gain new biological insights.
  • Faster and more reproducibly than with RNA-Seq or qPCR-based platforms
  • Covers 98% of miRNAs sequences found in miRBase v22Compatible with wide range of tissue type and degraded samples
  • Faster and more reproducibly than with RNA-Seq or qPCR-based platforms
 Coverage of the nCounter® v3 Human miRNA expression assay kit
Figure: Coverage of the nCounter® v3 Human miRNA expression assay kit
compared to miRNAs that are sequenced with high confidence and/or
found to be clinically relevant.
Coverage of the nCounter® v3 Human miRNA expression assay kit