Ontology highlight
ABSTRACT:
SUBMITTER: Olivieri JE
PROVIDER: S-EPMC8563012 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature

Olivieri Julia Eve JE Dehghannasiri Roozbeh R Wang Peter L PL Jang SoRi S de Morree Antoine A Tan Serena Y SY Ming Jingsi J Ruohao Wu Angela A Quake Stephen R SR Krasnow Mark A MA Salzman Julia J
eLife 20210913
The extent splicing is regulated at single-cell resolution has remained controversial due to both available data and methods to interpret it. We apply the SpliZ, a new statistical approach, to detect cell-type-specific splicing in >110K cells from 12 human tissues. Using 10X Chromium data for discovery, 9.1% of genes with computable SpliZ scores are cell-type-specifically spliced, including ubiquitously expressed genes <i>MYL6</i> and <i>RPS24</i>. These results are validated with RNA FISH, sing ...[more]