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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
TASQ® provides a turnkey data acquisition and analysis solution for screening, confirming and/or quantifying hundreds of compounds in a single analysis. . TASQ also takes advantage of both nominal and high resolution, accurate-mass data generated by Bruker's triple quadrupole and OTOF mass spectrometers. TargetScreener HR® solution is driven by TASQ allowing report generation from ‘vial to report’ in seven clicks.
High resolution, accurate mass
Stable retention times
True Isotopic Pattern
Accurate, reproducible and rapid qualifier ion generation
The visualization of the unique MRSQC scoring speeds up overall data inspection and reduces review time
Provides greater confidence and more samples per unit ti
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.
Extended Quantification Workflows
In addition to standard multipoint calibration, semi-quantitative calibration workflows are supported and can be combined in one analysis.
Exploit large, complex high-resolution accurate mass and also ion mobility resloved data sets. All qualitative and quantitative analysis is supported in ‘compound-’ or ‘sample-’centric views to ensure the most relevant information is extracted.
Simple and intuitive
Easy to learn and master for users in routine testing laboratories. Fast, easy method setup with menu driven, quick start wizard to expertly guide users through qualitative and quantitative workflows.
Rapid and flexible
No matter how complex a sample may be, TASQ will Screen, Confirm, Quantify or Semi-Quantify. Preconfigured reports or export to LIMS for further customized processing and reporting.
Rapid in-depth data analysis and mining
The eight essential components of stem cell biology
Stem Cell Renewal:
Stem Cell Prolifiration
PSC Pluripotency Markers and