A tissue multiplexing approach to maximize spatial omics output from pathology specimens.

Area of Science:

• Spatial biology
• Genomics
• Proteomics

Background:

• Spatial profiling technologies offer advanced in situ analysis of whole transcriptomes and high-plex proteins.
• Traditional tissue microarrays are not always suitable for diagnostic specimens due to ethical and legal constraints.
• Existing methods limit the analysis of multiple patient tissues simultaneously.

Purpose of the Study:

• To develop a novel tissue multiplexing method for spatial profiling.
• To enable simultaneous analysis of multiple patient specimens from individual tissue blocks.
• To enhance the cost-effectiveness and sample size for spatial omics studies.

Main Methods:

• A new approach combines multiple patient tissue sections into a single capture array.
• The method is compatible with standard protocols of major spatial platforms (e.g., Visium, Xenium, GeoMx).
• Skin biopsies were used as a model tissue, but the method is broadly applicable.

Main Results:

• The tissue multiplexing strategy significantly increases sample size for spatial profiling.
• This method provides a cost-effective solution for generating statistically robust data.
• The approach facilitates faster clinical implementation of spatial omics.

Conclusions:

• The developed tissue multiplexing method is a versatile and efficient technique for spatial omics research.
• It overcomes limitations of traditional methods, especially for diagnostic specimens.
• This innovation supports broader application of spatial profiling across various tissues.