The latest advances in sequencing technology enable identification of full length transcript isoforms, which helps to discern cell types, functionally distinct cell subpopulations, and development stages. However, translating these advances to single-cell RNA-seq approaches has been impeded by throughput and expense. 

In this informative webinar recording, Elisabeth Rebboah, UC Irvine, discusses overcoming these obstacles to perform differential RNA isoform expression at single-cell resolution using the split pool combinatorial barcoding protocol from Parse Biosciences along with a combination of short read sequencing to characterize cell types and long read sequencing to reveal full-length isoforms.