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Updated: Mar 10, 2026

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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
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GeoMx and RNAscope: A Comparative Assessment of Their Utility for Spatial mRNA Expression Profiling in Formalin-Fixed
Christian Thomsen1,2, Birgit Truumees3, Søren Nielsen3
1Department of Pathology, Aalborg University Hospital, Aalborg, Denmark.
Summary
NanoString GeoMx Digital Spatial Profiler and RNAscope show strong correlation for mRNA expression in breast cancer tissues. GeoMx offers high multiplexing, while RNAscope provides superior sensitivity and single-cell resolution for biomarker studies.
Area of Science:
- Biomedical research
- Molecular pathology
- Cancer genomics
Background:
- Accurate mRNA expression analysis in formalin-fixed tissues is crucial for biomarker discovery and understanding the tumor microenvironment.
- High-plex spatial transcriptomics (NanoString GeoMx) and in situ hybridization (RNAscope) are key technologies for this analysis.
Purpose of the Study:
- To compare quantitative mRNA expression estimates between NanoString GeoMx Digital Spatial Profiler and RNAscope in mammary cancer tissues.
- To evaluate the correlation and performance characteristics of both platforms for biomarker assessment.
Main Methods:
- Serial tissue sections from mammary cancer TMAs were analyzed using GeoMx Cancer Transcriptomics Atlas (CTA) and RNAscope probes for GATA3, SOX10, and PD-L1.
- Expression was quantified as counts/cell (GeoMx) and average dots/cell (RNAscope).
- Positivity thresholds were established for each method.
Main Results:
- A high correlation was observed for GATA3 (R=0.87) and SOX10 (R=0.77) expression between GeoMx and RNAscope.
- RNAscope demonstrated higher sensitivity and a broader dynamic range compared to GeoMx.
- PD-L1 analysis was limited due to localized high expression.
Conclusions:
- NanoString GeoMx CTA and RNAscope exhibit strong quantitative correlation for mRNA expression analysis in breast cancer.
- GeoMx is suitable for highly multiplexed gene expression profiling, whereas RNAscope excels in sensitivity and single-cell resolution.
- Method selection should align with specific research objectives in spatial transcriptomics.

