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nCounter® Metabolic Pathways Panel
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
Quantify the expression of hundreds of genes involved in core metabolic processes and signaling pathways in the context of cancer and immunity. The underlying molecular mechanisms behind alterations in metabolic pathways, signaling pathways, and cell stress can now be fully elucidated, giving researchers a complementary tool to traditional metabolite assays for profiling metabolic checkpoints and discovering potential therapeutic targets.
The Metabolic Pathways Panel helps advance efforts towards novel therapeutic targets that take advantage of altered metabolism in cancer and other diseases. Get results in less than 24 hours from multiple sample types with a workflow that maximizes insight and minimizes turnaround time :
Quantify the presence and relative abundance of 14 different immune cell types for immunometabolism studies
Bypass RT and amplification by direct detection, yielding highly reproducible data
Process your samples with < 30 minutes hands-on time and get results in < 24 hours
Gene Coverage across Core Themes of Metabolism
GeoMx DSP COVID-19 Protein and RNA Analysis
Rapidly perform high-plex spatial analyses of the host response in FFPE or fresh frozen tissue using the GeoMx Digital Spatial Profiler (DSP). NanoString’s GeoMx DSP platform enables high-plex protein and RNA experiments in key areas of biology such as molecular response, cellular (immune) response, tissue damage, and drivers of individual susceptibility to severe forms of disease.
The GeoMx COVID-19 Immune Response Atlas, a ~1,850-plex RNA assay, enables spatial studies of the SARS-CoV-2 virus and host response. RNA targets include COVID-19 receptors and proteases, pulmonary alveolar type I and II markers, lung biology markers, viral response markers, and SARS-CoV-2 probes. RNA targets are profiled simultaneously using the GeoMx DSP and an Illumina next-generation sequencer (NGS) for readout. Users can run ACD RNAscope™ probes alongside GeoMx RNA probes to identify regions of interest.
A five-antibody custom, ready-to-go protein panel, with receptor, protease, and viral markers is available through the GeoMx Technology Access Program or for order through Abcam. This COVID-19 GeoMx-formatted Antibody is run with the 20-plex GeoMx Immune Cell Profiling Core (plus controls) with readout on the nCounter Analysis System. Users can add up to six 10-plex modules including the Immune Activation Status, Immune Cell Typing, and/or Cell Death modules to more deeply profile proteins involved in T cell activation and cell death. NanoString scientists can recommend commercially-available markers for lung epithelium, nasal epithelium, immune response markers, and the viral spike protein.
Insights to Gene Profiling
Profile 768 genes across 34 annotated pathways involved in five important themes for metabolism research (i) Biosynthesis and Anabolic Pathways (ii) Nutrient Capture and Catabolic Pathways (iii) Cell Stress (iv) Metabolic Signaling (iv) Transcriptional Regulation
Acknowledge Complex Mechanism
Understand mechanisms of metabolic adaptation, metabolic switching and metabolic alterations
Study changes for Metabolic Pathways
Study changes in mitochondrial respiration and glycolysis.
Quantify the presence and relative abundance of 14 different immune cell types for immunometabolism studies.
Advance efforts towards novel therapeutic targets
Determine the expression of hundreds of genes involved in core metabolic processes and immunometabolism for human or mouse samples in a reliable, simple, and robust way using the nCounter Metabolic Pathways Panel.
The eight essential components of stem cell biology
Stem Cell Renewal:
Stem Cell Prolifiration
PSC Pluripotency Markers and Regulators
Naive State/Primed State
Histone Acetylation & Methylation
Oxidative Stress Response
Amino Acid Metabolism
Fatty Acid Metabolism
Differentiation Signaling and Pathways:
HOX Gene Activation
Endodermal /Ectodermal /Mesodermal Lineage Markers
Key Somatic Cell Types
Custom & Clinical Products
Daily Sample Throughput
Self-assembled, interchangeable probes, optimized for smaller validation projects with maximum flexibility
Self-assembled, interchangeable probes for high-throughput, sample multiplexing projects
User-designed, turn-key solution that comes ready-to-use
mRNA, CNV, Fusions
mRNA, miRNA, CNV, Fusions
Cell line drug screen, biomarker development, infectious disease
Gene Signature Development
Model Organism, Microbes, Agriculture
nCounter Human Metabolic Pathways Panel: Includes 768 genes; 20 internal reference genes for data normalization
nCounter Mouse Metabolic Pathways Panel: Includes 768 genes; 20 internal reference genes for data normalization
nCounter Master Kit:
Reagents, cartridges, and consumables necessary for sample processing on nCounter MAX and FLEX Systems