High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis
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Abstract
Single-cell and spatial technologies that profile gene expression across a whole tissue are revolutionizing the resolution of molecular states in clinical samples. Current commercially available technologies provide whole transcriptome single-cell, whole transcriptome spatial, or targeted in situ gene expression analysis. Here, we combine these technologies to explore tissue heterogeneity in large, FFPE human breast cancer sections. This integrative approach allowed us to explore molecular differences that exist between distinct tumor regions and to identify biomarkers involved in the progression towards invasive carcinoma. Further, we study cell neighborhoods and identify rare boundary cells that sit at the…
Citation impact
702
total citations
- FWCI
- 101.84
- Percentile
- 100%
- References
- 44
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Authors
16Topics & keywords
Topics
Keywords
- Transcriptome
- Computational biology
- Biology
- In situ
- Single-cell analysis
- Tumor microenvironment
- Myoepithelial cell
- Cell
UN Sustainable Development Goals
- Good health and well-being
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