Resolve Tumor Heterogeneity with Spatial Proteomics
Profile up to 96 human or mouse proteins relevant to immuno-oncology research from distinct tissue compartments and cell type populations with the modular design of the GeoMx Immuno-Oncology Protein Panels. Take advantage of targeted content and expedited readout with the nCounter® Analysis System and easily scale up to large cohort studies for biomarker discovery and validation. With no specialized tissue mounting required and a workflow compatible with standard histology staining, you can easily add spatial proteomics to your lab’s capabilities.
The Immune Cell Profiling Core contains 18 targets for broad cell profiling and includes necessary controls for all GeoMx DSP experiments. Add up to 6 modules plus 5-10 custom targets to tailor content for your experiment. All cores and modules contain validated antibodies conjugated to unique oligonucleotide barcodes via a UV-photocleavable linker. After region of interest (ROI) selection and UV cleavage of the oligonucleotides, each barcode is recognized by a unique reporter probe that contains a fluorescent barcode. Reporter probes are imaged and counted by the nCounter® Analysis System to provide a direct, digital readout of protein expression that is mapped back to each corresponding ROI.
How It Works
Curated content designed for immuno-oncology and immunology research
Modular design allows selection of up to six 10-plex modules to add to the Immune Cell Profiling Core
Validated in multiplex format for use in human and mouse FFPE or fresh frozen tissue
Customizable with up to 5 additional targets of interest with the DIY Protein Barcoding Kit or up to 10 antibodies with the Protein Barcoding Service
For use with nCounter readout and compatible with DSP Data Analysis Software
Curated Content for Immuno-Oncology
All GeoMx Protein Assays undergo extensive validation to ensure high quality GeoMx DSP data.
Each antibody is tested for specificity before and after oligonucleotide conjugation to ensure performance in the assay (Figure 1), and the performance of each module is validated so that it performs well alone versus along with other modules (Figure 2).
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