Transcriptomics

Dataset Information

0

Parallel scRNA-seq and genetic recording reveals lineage decisions in early mouse embryogenesis


ABSTRACT: How cell fate is specified at early stages of development is a fundamental question in biology. We apply deep transcriptomic profiling to map cell lineages at single cell resolution in embryoid bodies (EBs); a spontaneous, manipulatable, in vitro system for embryonic development. We predict the overall cell fate trajectory and define the transcriptomic landscape of cells at each critical branch. We present a dual barcoding system, comprising a static cellular barcode and inducible genetic recorder, and leverage long-read sequencing to obtain both barcodes and transcriptome from each single cell. Using this system, we confirm overall trajectory architecture, and validate key branch points, including the early isolation of the primordial germ cell (PGC) like lineage from preimplantation epiblast-like cells. Our data suggest DNA methylation is a critical determinant of PGC cell fate choice before the postimplantation epiblast cell state is determined. Together, our data provide a high resolution lineage decision map in an organoid model of early embryogenesis, with implications for the developing embryo.

ORGANISM(S): Mus musculus

PROVIDER: GSE140890 | GEO | 2020/08/07

REPOSITORIES: GEO

Similar Datasets

2018-10-01 | GSE117473 | GEO
2017-06-08 | GSE85378 | GEO
2021-03-09 | GSE147088 | GEO
2024-01-30 | GSE235331 | GEO
2018-10-06 | E-MTAB-6268 | biostudies-arrayexpress
2011-08-04 | E-GEOD-30056 | biostudies-arrayexpress
2016-10-10 | GSE86585 | GEO
2016-10-10 | GSE86903 | GEO
| PRJNA664787 | ENA
| PRJNA664950 | ENA