Department
Computer Science
Document Type
Article
Publication Title
eLife
ISSN
2050-084X
Volume
10
DOI
10.7554/eLife.70692
First Page
1
Last Page
32
Publication Date
9-1-2021
Abstract
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 data for discovery, 9.1% of genes with computable SpliZ scores are cell-type-specifically spliced, including ubiquitously expressed genes MYL6 and RPS24. These results are validated with RNA FISH, single-cell PCR, and Smart-seq2. SpliZ analysis reveals 170 genes with regulated splicing during human spermatogenesis, including examples conserved in mouse and mouse lemur. The SpliZ allows model-based identification of subpopulations indistinguishable based on gene expression, illustrated by subpopulation-specific splicing of classical monocytes involving an ultraconserved exon in SAT1. Together, this analysis of differential splicing across multiple organs establishes that splicing is regulated cell-type-specifically.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Olivieri, J. E.,
Dehghannasiri, R.,
Wang, P.,
Jang, S.,
De Morree, A.,
Tan, S.,
Ming, J.,
Wu, A. R.,
Quake, S. R.,
Krasnow, M. A.,
&
Salzman, J.
(2021).
RNA splicing programs define tissue compartments and cell types at single-cell resolution.
eLife, 10, 1–32.
DOI: 10.7554/eLife.70692
https://scholarlycommons.pacific.edu/soecs-facarticles/312
