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Over the last few decades, discovery in immunology has been catalyzed by the ability of flow cytometry to produce population statistics out of individual cells, leading to better understanding of cell biology and heterogeneity. Continued innovation has now enabled a powerful, image-based, spectral flow cytometry technology capable of providing unprecedented insights at the single-cell level.

Combining these advances with genomics-based approaches such as single-cell multiomics now offers the ability to probe the proteome, transcriptome and epigenome together at the single-cell level, offering the potential to unravel rare insights otherwise left uncovered with current approaches.

This webcast will present an integrative approach using real-time imaging, spectral flow cytometry and Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq) to perform high-dimensional, multimodal analyses of human T regulatory (Treg) cells. This combinatorial approach reveals different subsets of Tregs while uncovering distinct, heterogeneous proteomic and genomic signatures associated with naïve, activated, and memory Treg cell populations. This approach now offers a novel, multimodal tool set with which to drive the next generation of immunology research.

• Combining spectral, image-based cell sorting and single-cell multiomics to characterize immune populations of interest
• Potential applications for combining RNA plus protein (CITE-seq) in single-cell immunology
• Advanced real-time imaging, spectral flow cytometry (RTI-SFC) technology for cell sorting and downstream applications