Biomarker Research Paves the Road to Novel Therapies
Accelerate your biomarker research studies with pre-designed, multiplexed gene expression panels focused on Immunology and Inflammation. The nCounter® Gene Expression Panels are developed in collaboration with leading researchers to provide the most valuable and relevant panel content across applications. The nCounter® platform provides a highly multiplexed, simple workflow to enable rapid, precise, and cost-effective research with fast, reliable results; no library prep or dilutions required, with just 15-minutes total hands-on time.
Immuno-Oncology (IO) – Predictive biomarkers need to measure and integrate the complexity of host, tumor, and environment interaction. Address these key challenges in IO by measuring multi-analyte expression levels simultaneously within the tumor, the immune system, and the tumor microenvironment all on one platform with NanoString’s 3D Biology™ Technology.
Autoimmune – Biomarkers need to be evaluated for the biological variability observed in autoimmune diseases, thereby identifying predictive gene signatures. nCounter® Immunology, Inflammation and Myeloid Panels are all designed to evaluate biomarkers associated with autoimmune diseases and can be customized with up to 30 additional user-defined genes.
Infectious Disease - Accurately identify pathogens and assess the host immune response in one multiplex while tracking transcriptional profiles in vivo. nCounter® Immunology Panels are ideal for assessing infectious disease immune response and can be customized with up to 30 additional user-defined genes for pathogen identification.
Flow Cytometry & 3D Biology™ Technology
Explore this newly developed streamlined application that seamlessly integrates standard flow cytometry cell sorting with downstream nCounter® analysis to interrogate up to 30 proteins and 770 immune-related RNAs simultaneously from as few as 500 sorted cells. Without changing your flow sorting workflow, NanoString's 3D Biology Technology enables simple, deep proteomic and transcriptomic analysis of rare cell populations.
Heink S. et al., "Trans-presentation of IL-6 by dendritic cells is required for the priming of pathogenic TH17 cells" Nat. Immunol. [Epub ahead of print]. November 28, 2016
Urrutia A et al., "Standardized Whole-Blood Transcriptional Profiling Enables the Deconvolution of Complex Induced Immune Responses" Cell Reports [Epub ahead of print]. August 25, 2016
Ohta T. et al., "Crucial roles of XCR1-expressing dendritic cells and the XCR1-XCL1 chemokine axis in intestinal immune homeostasis" Sci. Reports [Epub ahead of print]. March 23, 2016
Wang C. et al., "CD5L/AIM Regulates Lipid Biosynthesis and Restrains Th17 Cell Pathogenicity" Cell [Epub ahead of print]. November 19, 2015
Tom J.K. et al., "Modulation of Innate Immune Responses Covalently Linked TLR Agonists." ACS [Epub ahead of print]. October 28, 2015
Kurtulus S. et al., "TIGIT predominantly regulates the immune response via regulatory T cells ." JCI [Epub ahead of print]. September 28, 2015
or Click here to view all nCounter publications on Immunology.
For Research Use Only. Not for use in diagnostic procedures.