Hyperplex Cancer Tissue Analysis at Single Cell Level with Cell DIVE

Pointu, David; Mouchet, Nicolas

January 17, 2022

Hyperplex Cancer Tissue Analysis at Single Cell Level with Cell DIVE

How multiplexed imaging of single cells provides insights into tumor microenvironments

Colon adenocarcinoma with 13 biomarkers shown Colon_adenocarcinoma_with_13_biomarkers_shown.jpg

The ability to study how lymphoma cell heterogeneity is influenced by the cells’ response to their microenvironment, especially at the mutational, transcriptomic, and protein levels. Protein expression studies offer the most relevant information about the nature of cellular interactions and protein expression levels. A hyperplexed workflow can be applied for studying multiple proteins from the same cancer tissue.

Image: Colon adenocarcinoma. 13 biomarkers shown: Cadherin, CD3, CD4, CD8, CD20, CD31, CD45, Collagen, Caspase 9, BCL2, Beta-catenin, Vimentin and SMA.

Speakers

David Pointu, Leica Microsystems

David Pointu studied physical chemistry at the University of Strasbourg. After completing his PhD in 2002, and a postdoctoral fellowship at the Institut Curie, he moved to pursue a career in industry in 2004. He has since worked as an application specialist in high-end microscopy at different companies including GE Healthcare. In 2021 he joined Leica Microsystems as an application manager for Cell DIVE and translational research. David has broad experience in light microscopy, including various methods, samples and workflow for cell and tissue imaging and analysis

Nicolas Mouchet, Platform Manager H2P2 BIOSIT Université de Rennes

Nicolas Mouchet has been co-manager of the HistoPathology facility (H2P2) at the University of Rennes since 2019. He completed his engineering degree in 2006 where he gained experience in molecular genetics and sample preparation for RNA expression analysis. During his PhD and post-doctoral studies he was trained on cancer research bioinformatic analysis, and used microscopy to study the effects of UV on human and mouse skin as well as the paradoxical effects of targeted therapy in skin cancer. In 2017 he completed a Masters degree in Computer Science to better support the evolving cross-disciplinary nature of scientific studies.

Key Learnings

With Cell DIVE™ technology, researchers can investigate crucial topics such as lymphoma cell heterogeneity and the nature of relapses and therapeutic resistance—in the context of immunological synapse spatial organization.

This webinar covers:

How the hyperplex workflow can be applied for studying multiple proteins from the same cancer tissue
More about the technical aspects of the hyperplex workflow
How Cell DIVE technology enables spatial profiling
Why image analysis in immunooncology is important

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