Analyzing multimodal single cell sequencing data like an Immunologist with hierarchical gating in CellEngine software

CellCarta’s poster details the analysis of multimodal single cell sequencing data using CellEngine software.

The study leverages CITE-seq, a technique that combines protein and gene expression analysis, to investigate immune cell populations. By comparing hierarchical gating—a method familiar to immunologists—with unbiased clustering, the research identifies clear definitions based on marker expression levels. The hybrid approach of using both gating and clustering enhances the identification and characterization of cell types, providing a more intuitive analysis of complex datasets.

The study specifically examines populations such as MAIT cells, highlighting differences in gene and protein expression to refine gating strategies.

View the full poster:

Analyzing multimodal single cell sequencing data like an Immunologist with hierarchical gating in CellEngine software