Single-cell analysis methods allow us to catalogue the vast diversity of cellular phenotypes that exist in a sample. However, cell behavior is a function of its surroundings, and how cells organize and interact within a tissue sample can impact biological and clinical outcomes.
Using CODEX high-resolution imaging, researchers can now analyze the spatial and geographical context of individual cells in combination with other methods, such as single-cell sequencing and spatial transcriptomics, to build spatially-resolved, single-cell, multi-omic maps of all human cells and tissues.
In this on-demand webcast, Dr. Kai Kessenbrock discusses how spatial phenotyping can enhance the biological insights from Human Cell Atlas initiatives.
You will learn:
How spatial phenotyping can generate high resolution maps of millions of cells in a tissue section
How to complement single-cell RNA-Seq data with CODEX spatial proteomic data
How to use spatial analysis tools to study cellular niches and neighborhoods within tissue samples
Dr. Kai Kessenbrock
Chao Family Comprehensive Cancer Center
University of California, Irvine