Your Data. The Full 360° View.

Generating high-quality gene expression data is only the first step. Translating complex datasets into clear, biologically meaningful results requires the right analysis approach to identify trends and significance, interpret findings, and effectively communicate results.

The nCounter® 360 Series Panels are designed to accelerate discovery by providing a jump start on biological interpretation, with up to 50 research and validated gene expression signatures built into each panel. Developed around key cancer biology questions rather than broad pathway analysis alone, the panels deliver more actionable insights through integrated tumor, immune, and microenvironment profiling.
 
Combined with cell profiling capabilities that estimate the relative abundance of immune cell populations, the 360 Series Panels enable researchers to move quickly from gene expression data to meaningful biological understanding.

In this webinar, we’ll demonstrate practical approaches for analyzing 360 Panel data including a detailed review of our 360 Panel Reports. 
 
See how quality-controlled and normalized data are transformed into interactive reports with signature scores that help characterize tumor and immune biology, compare results across samples, and evaluate relationships with relevant study variables.
 
The nCounter® Analysis System is used in thousands of institutes globally, proven for translational and clinical studies, and recognized for its rapid and robust targeted RNA and multiomic expression.
 

KEY TAKEAWAYS

  • From Raw Data to Results: Learn how to analyze 360 Series Panel data and move from raw gene expression data to actionable, publication-ready results.
  • Go Beyond Gene Expression: See how specialized reports and signature scores can help characterize tumor and immune biology and explore relationships across your study.
  • Expert Analysis Support: Explore nCounter Data Analysis Services and how access to in-house data scientists, interactive reports, and one-on-one data review can help streamline your analysis.
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Ana Ortalli, Ph.D.
Sr. Field Applications Scientist, Bruker Spatial Biology
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Lakshmi Chandramohan, Ph.D.
Principal Scientist, Associate Director, Molecular Assay Services, Pharma, NeoGenomics Laboratories
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Isabel Lee
Research Associate IV, Bruker Spatial Biology
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About Speaker:
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Bonus Presentation: Whole transcriptome spatial molecular imaging in matched pre and post treatment specimens to identify therapeutic vulnerabilities and treatment-associated effects in pancreatic

Dr. Will Hwang shared his data at the most recent AACR event and we will re-air his presentation for you here.  This research highlights new strategies for analyzing whole-transcriptome spatial transcriptomics at subcellular resolution and the potential thereof to identify novel treatment-associated effects. You won’t want to miss it.

Presenter: Will Hwang, MD, PhD Assistant Professor, Harvard Medical School; Principal Investigator, Massachusetts General Hospital; Associate Faculty Member, Broad Institute of MIT and Harvard


Register Today! 

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