Characterizing the transcriptomic profiles of individual cells by single-cell RNA sequencing (scRNA-seq) has become a universal tool to identify both known and novel cell populations, ushering science in a new era of single cell biology. However, scRNA-seq utilizes dissociated cells with results in the loss of spatial organization of the cell population being analyzed. 

It is therefore essential to complement scRNA-seq analysis with RNAscope in situ hybridization (ISH) in order to obtain visual confirmation of both single cell and spatial gene expression. 

In this webinar, Dr. Ariel Levine from NIH NINDS will share her latest publication using RNAscope HiPlex assay, to reveal spinal cord cell type organization, validate a combinatorial set of markers for in-tissue spatial gene expression analysis, and optimize the computational classification based on transcriptomic data.