Comparison of spatial transcriptomics technologies across six cancer types

Identifier:  TFM:1889

Handle: https://hdl.handle.net/20.500.11797/TFM1889

Authors:  Cervilla García, Sergi

Abstract:
Spatial biology integrates molecular and histological landscapes to reveal tissue biology's architecture, crucial for understanding complex multicellular tissues. Advanced spatial transcriptomics platforms characterize gene expression spatially, transforming our knowledge of cellular organization and communication. This is vital in cancer research, where tumor evolution is influenced by genetic properties, tumor microenvironment, and spatial organization. Comparing four spatial transcriptomics platforms (VISIUM, VISIUM CytAssist, Xenium, and CosMx) and one spatial proteomics platform (VISIUM CytAssist) across six human tumor samples, the study found VISIUM with CytAssist yielded superior data quality. Xenium excelled in gene detection, and multi-omics profiling highlighted RNA-protein expression mismatches, underscoring its importance.