Bridging Spatial Proteomics and Transcriptomics

Co-organized with EACR

Featured Talk & Speaker

Bridging Spatial Proteomics and Transcriptomics: Multimodal Integration for Deeper Insight and Clinical Translation

Prof. Raphael Gottardo
Director of the Biomedical Data Science Center, Lausanne University Hospital

Prof. Gottardo's team combined Xenium spatial transcriptomics with COMET™ to profile RNA and protein at single-cell resolution in Non-Small Cell Lung Cancer (NSCLC) tissue sections. Their results indicate that the two technologies are broadly compatible, with consistent cell type signals and no apparent loss of proteomic quality following Xenium processing.

He presents emerging computational strategies to improve spatial resolution and data integration across samples, along with approaches for combining these modalities to enhance cell type annotation and biological interpretation.

Overall, this work outlines a practical framework for spatial multi-omics, leveraging the complementary strengths of transcriptomics and proteomics. Finally, Prof. Gottardo discusses strategies for using this multimodal data in exploratory analyses, as well as how COMET™ can be leveraged to validate findings and support clinical translation.