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Updated: Sep 4, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
Challenges and Opportunities for Immunoprofiling Using a Spatial High-Plex Technology: The NanoString GeoMx® Digital
Sharia Hernandez1, Rossana Lazcano1, Alejandra Serrano1
1Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
The nanoString GeoMx Digital Spatial Profiler (DSP) enables high-plex profiling of tumor microenvironments. While powerful for biomarker discovery, it lacks single-cell resolution, crucial for translational immune-oncology research.
Area of Science:
- Oncology
- Immunology
- Biotechnology
Background:
- Tumor microenvironment (TME) immunoprofiling is vital for understanding immune interactions and identifying biomarkers.
- Tissue heterogeneity and sample size often limit current immunoprofiling studies.
- Predictive biomarkers for immunotherapy response are essential in precision oncology.
Purpose of the Study:
- To provide a technical overview of the nanoString GeoMx Digital Spatial Profiler (DSP).
- To review the advantages and limitations of DSP applications in translational research.
- To offer considerations for experimental design using DSP for high-plex profiling.
Main Methods:
- Utilizing the nanoString GeoMx DSP for high-plex protein and RNA profiling.
- Analyzing spatial and temporal aspects of tumors in limited tissue samples.
- Comparing DSP capabilities with other multiplex and high-plex platforms.
Main Results:
- DSP allows high-plex profiling of TME, aiding biomarker discovery.
- The platform enables assessment of biomarkers for prognosis and immunotherapy response.
- DSP offers higher throughput and biomarker interrogation compared to other platforms.
Conclusions:
- DSP is a valuable tool for TME characterization and biomarker identification in oncology.
- Limitations include the lack of single-cell resolution and co-expression data.
- Careful experimental design is crucial for maximizing DSP's utility in translational immune-oncology research.
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