The SpliZ generalizes 'percent spliced in' to reveal regulated splicing at single-cell resolution.

Olivieri, Julia Eve; Dehghannasiri, Roozbeh; Salzman, Julia · Nat Methods · 2022

basic_science · Level V

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Abstract

Detecting single-cell-regulated splicing from droplet-based technologies is challenging. Here, we introduce the splicing Z score (SpliZ), an annotation-free statistical method to detect regulated splicing in single-cell RNA sequencing. We applied the SpliZ to human lung cells, discovering hundreds of genes with cell-type-specific splicing patterns including ones with potential implications for basic and translational biology.

Medical subject headings