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15:00 - 16:00 CEST on Zoom
This free webinar is hosted in collaboration with Bio-Techne Spatial, one of our valued EACR Industry Partners. In this webinar we will welcome Prof. Raphael Gottardo from Lausanne University Hospital, who will present 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.
Prof. Gottardo's team combined Xenium spatial transcriptomics with COMETTM 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 will present 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 will discuss strategies for using this multimodal data in exploratory analyses, as well as how COMETTM can be leveraged to validate findings and support clinical translation.
SpeakerProf. Raphael Gottardo
Director of the Biomedical Data Science Center at Lausanne University Hospital (CHUV), Full Professor in the Faculty of Biology and Medicine at the University of Lausanne and Adjunct Professor at EPFL
Open to all, you do not need to be an EACR member to attend.
