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nCounter®
Immune Exhaustion Panel

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Helping Your Research

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 that gets you results in less than 24 hours and is compatible with a broad range of sample types. Characterize immune cell status, develop signatures for assessing immune cell exhaustion, and identify novel targets for preventing or reversing immune cell exhaustion.

Types of cells illustration

How it Works

Details
Viral Identification
Tumor Inflammation Signature
Details
  • Directly profile 785 genes across 47 pathways involved in immune exhaustion:
    • Immune Activation
    • Immune Suppression
    • Immune Status
    • Immune Checkpoints
    • Epigenetics
    • Metabolism & Microenvironment
  • Understand the mechanisms of exhaustion in T cells, B cells, NK cells, CAR-T cells and other adoptive immune cells
  • Discover novel targets for preventing or reversing immune exhaustion
  • Determine the extent of a peripherally suppressed, adaptive immune response to cancer with the 18-gene Tumor Inflammation Signature (TIS)
  • Quantify the presence and relative abundance of 14 different immune cell types
Viral Identification

Chronic infectious diseases caused by viruses and other pathogens can induce immune exhaustion. The Human Immune Exhaustion Panel includes probes for Epstein-Barr virus and Cytomegalovirus, and the Mouse Immune Exhaustion Panel includes probes for Lymphocytic Choriomeningitis. The panel can be supplemented with up to 55 genes of your choice with a Panel Plus spike-in for studying immune cell exhaustion in the context of different types of infectious disease.

Tumor Inflammation Signature

The 18-gene Tumor Inflammation Signature is included in the panel gene list and measures activity known to be associated with PD-1/PD-L1 inhibitors. Customers have the option to purchase a standalone Tumor Inflammation Signature report with the Immune Exhaustion Panel.

  • Includes four axes of biology that characterize a peripherally suppressed, adaptive immune response, including:
    • Antigen-presenting cells
    • T cell/NK cell presence
    • IFNγ biology
    • T cell exhaustion
  • Tissue-of-origin agnostic (Pan-Cancer)
  • Potential surrogate for PD-L1 and mutational load in a research setting

Panel Selection Tool

Find the gene expression panel for your research with easy to use panel pro

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Product Information

Product Specifications
Core Themes and Annotations
Immune Checkpoint Coverage
Immune Cell Profiling Feature
Catalog Information
Product Specifications
Core Themes and Annotations

The nCounter Immune Exhaustion Panel enables researchers to explore the mechanisms behind T cell, B cell, and NK cell exhaustion in diverse contexts, including cancer and infectious disease.

Immune Checkpoint Coverage

The Immune Exhaustion Panel provides comprehensive coverage of the most relevant immune checkpoints that can potentially be used to modulate the dynamics of the immune response.

Immune Cell Profiling Feature
Catalog Information

Related Resources

See All Resources
Product Bulletin ImmuneExhaustion – Product Bulletin
Webinar So many antigens, So little time: Mechanisms of Immune Exhaustion with nCounter

The spatial landscape of lung pathology during COVID-19 progression.

Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19)1–8. However, thorough interrogation of the interplay between infected cells and the immune system at sites of infection is lacking.

Spatial mapping of SARS-CoV-2 and H1N1 Lung Injury Identifies Differential Transcriptional Signatures.

Severe SARS-CoV-2 infection often leads to development of acute respiratory distress syndrome (ARDS), with profound pulmonary patho-histological changes post-mortem. It is not clear if ARDS from SARS-CoV-2 is similar to that observed in Influenza H1N1, another common viral cause of lung injury.

In-silico performance, validation, and modeling of the Nanostring Banff Human Organ transplant gene panel using archival data from human kidney transplants

RNA gene expression of renal transplantation biopsies is commonly used to identify the immunological patterns of graft rejection. Mostly done with microarrays, seminal findings defined the patterns of gene sets associated with rejection and non-rejection kidney allograft diagnoses.

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