Single-cell and spatial technologies that profile gene expression across whole tissues are revolutionizing the resolution of molecular states in clinical tissue samples. Commercially available methods are currently limited by low sample throughput and/or gene plexy, lack of on-instrument analysis and the destruction of histological features and epitopes during the workflow.
Download this app note to learn how a single-cell gene expression workflow was used to:
- Analyze large, serial formalin-fixed, paraffin-embedded human breast cancer sections
- Identify and spatially resolve 17 different cell types and their gene expression profiles
- Spatially register protein, histological and RNA data together into a single image