The Deep Immunomics platform integrates single-cell analysis technologies, molecular barcoding,
and cutting-edge bioinformatics for both drug discovery and high-dimensional immune profiling

Technology Immune Cells Analyzed Application
TargetScape® T cells Simultaneous analysis of T cell specificity (100+) and phenotype (40+)
TCR Antigen Profiling T cells Single cell sequencing for analysis of T Cell Receptor sequence, clonality, phenotype, and transcriptome
UltraScape® T cells, B cells, NK cells, monocytes, DCs, etc. Ultra-high dimensional characterization of all key immune cell compartments (up to 120 channels)
Cytographer® All Cutting-edge bioinformatics, statistical analysis, and visualization of single-cell data across the entire Deep Immunomics platform
targetscape chart
Top: TargetScape can be used to detect rare antigen specific T cells, with frequencies as low as 1 in 100,000 CD8+ cells

Bottom: Simultaneously, TargetScape provides comprehensive phenotypic information for these antigen-specific T cells

TargetScape combines mass cytometry and metal-based combinatorial barcoding to simultaneously analyze hundreds of T cell specificities and 40+ phenotypic markers, robustly and at scale

Click to read our whitepaper

How We’ve Used TargetScape

  • Identification of novel T cell epitopes for SARS-CoV-2 vaccine development.
    Kared et al., JCI 2021
  • Discovery and characterization of rare neoantigen-reactive T cells with frequencies as low as 1 in 100,000 T cells.
    Fehlings et al., JITC 2019
  • Analysis of optimal immunotherapy combinations in murine cancer models.
    Chiu et al., Gastroenterology 2020
  • Discovery of immune signatures strongly associated with risk of cytokine release syndrome in patients receiving autologous cell therapies.
    SITC poster 2019

UltraScape extends ImmunoScape’s proprietary technology and expertise in mass cytometry across the entire immune system, allowing for analysis of up to 120 channels per sample

Example Applications

  • Characterization of the whole immune system at scale – analyze multiple immune compartments including T cells, B cells, NK cells, DCs, monocytes, and more
  • Exploration of rare immune cell populations, such as MAIT cells and γδ T cells
  • Combination with TargetScape for the most extensive immune profiling possible, adding T cell specificity on top of the already extensive characterization from UltraScape
Left: Identification of rare antigen specific T cells from the bulk T cell population

Right:Analysis of the clonal frequency of T cell receptors from these antigen specific T cells using TAP

TCR Antigen Profiling (TAP) combines single cell sequencing and oligonucleotide barcoding for characterization of T Cell Receptor sequence, clonality, phenotype, and transcriptome

Example Applications

  • Discovery of TCR sequences from rare, antigen specific T cells (e.g., neoantigen-reactive T cells)
  • Characterization of T cell transcriptome, clonality and phenotype
  • Combination with TargetScape for end-to-end characterization of T cell populations, starting with bulk cells and focusing single-cell sequencing analysis on prioritized T cell subsets

Cytographer is ImmunoScape’s proprietary software suite that integrates cutting-edge bioinformatics, statistical analysis, and visualization of single-cell data across the entire Deep Immunomics platform

Click here to read our whitepaper

Example Applications

  • Identify antigen-specific T cells reliably with Cellular Subset ID using advanced automatic clustering and immune subset detection methods (Phenograph, FlowSOM)
  • Discover differences between cell subsets through ImmunoScape’s breakthrough statistical analysis algorithms
  • Generate insight with complex data reduction and visualization using high-dimensional methods (t-SNE, UMAP, Isomap, Diffmap, OneSENSE, PHATE, PCA)
  • Benefit from algorithms specifically designed for statistical correlation to clinical data using classical statistics and automated method pipelines
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