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Related Experiment Video

Updated: May 16, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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STopover captures spatial colocalization and interaction in the tumor microenvironment using topological analysis in

Sungwoo Bae1,2, Hyekyoung Lee3, Kwon Joong Na2,4

  • 1Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Republic of Korea.

Genome Medicine
|April 1, 2025
PubMed
Summary
This summary is machine-generated.

STopover analyzes spatial transcriptomics to map the tumor microenvironment. This approach reveals immune cell patterns and cell communication, aiding cancer research.

Keywords:
Breast cancerColocalizationConnected componentsLung cancerSpatially resolved transcriptomicsTopological analysisTumor microenvironment

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Area of Science:

  • Oncology
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding the tumor microenvironment (TME) is vital for immuno-oncology.
  • Spatial organization of cells within the TME dictates tumor-immune interactions.

Purpose of the Study:

  • To introduce STopover, a novel computational approach for analyzing spatial transcriptomics data.
  • To investigate the spatial configuration of the TME and its impact on cancer pathophysiology.

Main Methods:

  • Utilizes spatially resolved transcriptomics (SRT) data and topological analysis.
  • Extracts connected components (CCs) based on spatial distance and persistence.
  • Quantifies spatial overlap using Jaccard indices and assesses significance via transcriptomic profile permutation.

Main Results:

  • Identified distinct immune and stromal cell infiltration patterns in lung and breast cancer.
  • Predicted key cell-cell communication networks within the TME.
  • Highlighted specific regions of interest relevant to cancer progression.

Conclusions:

  • STopover provides a robust method for dissecting the spatial architecture of the TME.
  • The approach enhances understanding of tumor-immune dynamics and cancer biology.
  • Facilitates the identification of novel therapeutic targets within the tumor microenvironment.