RNA splicing programs define tissue compartments and cell types at single-cell resolution

RNA splicing programs define tissue compartments and cell types at single-cell resolution

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...

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Bibliographic Details
Main Authors: Julia Eve Olivieri, Roozbeh Dehghannasiri, Peter L Wang, SoRi Jang, Antoine de Morree, Serena Y Tan, Jingsi Ming, Angela Ruohao Wu, Tabula Sapiens Consortium, Stephen R Quake, Mark A Krasnow, Julia Salzman
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-09-01
Series:eLife
Subjects:
scRNA-seq
splicing
statistics
computational biology
RNA
Online Access:https://elifesciences.org/articles/70692

Internet

https://elifesciences.org/articles/70692

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