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Dataset Information

Coordinated changes in gene expression kinetics underlie both mouse and human erythroid maturation.


ABSTRACT:

Background

Single-cell technologies are transforming biomedical research, including the recent demonstration that unspliced pre-mRNA present in single-cell RNA-Seq permits prediction of future expression states. Here we apply this RNA velocity concept to an extended timecourse dataset covering mouse gastrulation and early organogenesis.

Results

Intriguingly, RNA velocity correctly identifies epiblast cells as the starting point, but several trajectory predictions at later stages are inconsistent with both real-time ordering and existing knowledge. The most striking discrepancy concerns red blood cell maturation, with velocity-inferred trajectories opposing the true differentiation path. Investigating the underlying causes reveals a group of genes with a coordinated step-chan

SUBMITTER: Barile M 

PROVIDER: S-EPMC8258993 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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