Elucidate molecular mechanisms of disease
An expansive imaging area to locate rare and meaningful expression events
Cell-type composition and expression of immune response genes are two key variables in neurodegeneration mouse model studies. Single-cell RNA sequencing provides a powerful approach to study these variables, at the expense however of critical anatomical and morphological information. Here we present a methodology which allows accurate gene expression quantification without compromising spatial resolution.
The Rebus Esper™ automated high-throughput spatial omics platform validated the expression of 30 target genes at the single-cell level in the hippocampus of two disease models plus a wild-type control mouse. Using these 30 genes and two proteins of interest, the anatomical structures, major neuronal and glial cell types, and changes in disease-related genes could be visualized and analyzed.
Visualizing changes in the relative abundance of defined cell types and the relationship between these pathological gene-expression levels and the presence of disease-related proteins demonstrate the ability of the Rebus Esper spatial omics platform to yield high-throughput spatial omics data with single cell resolution.
The combination of large imaging area, high-plex RNA quantification, and protein imaging offers a unique and powerful tool to explore complex tissues with an unprecedented level of detail.
We were able to define the major neuronal and glial cell types, anatomical structures, and quantify expression changes in disease-related genes.