Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The emergent landscape of the mouse gut endoderm at single-cell resolution

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Mus musculus

PROVIDER: GSE123135 | GEO | 2019/04/10

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

The emergent landscape of the mouse gut endoderm at single-cell resolution.

Project description:Here we delineate the ontogeny of the mammalian endoderm by generating 112,217 single-cell transcriptomes, which represent all endoderm populations within the mouse embryo until midgestation. We use graph-based approaches to model differentiating cells, which provides a spatio-temporal characterization of developmental trajectories and defines the transcriptional architecture that accompanies the emergence of the first (primitive or extra-embryonic) endodermal population and its sister pluripotent (embryonic) epiblast lineage. We uncover a relationship between descendants of these two lineages, in which epiblast cells differentiate into endoderm at two distinct time points-before and during gastrulation. Trajectories of endoderm cells were mapped as they acquired embryonic versus extra-embryonic fates and as they spatially converged within the nascent gut endoderm, which revealed these cells to be globally similar but retain aspects of their lineage history. We observed the regionalized identity of cells along the anterior-posterior axis of the emergent gut tube, which reflects their embryonic or extra-embryonic origin, and the coordinated patterning of these cells into organ-specific territories.

| S-EPMC6724221 | biostudies-literature

The emergent landscape of the mouse gut endoderm at single-cell resolution

Project description:To comprehensively delineate the ontogeny of an organ system, we generated 112,217 single- cell transcriptomes representing all endoderm populations within the mouse embryo until midgestation. We employed graph-based approaches to model differentiating cells for spatio- temporal characterization of developmental trajectories. Our analysis reveals the detailed architecture of the emergence of the first (primitive or extra-embryonic) endodermal population and pluripotent epiblast. We uncover an unappreciated relationship between descendants of these lineages, before the onset of gastrulation, suggesting that mixing of extra-embryonic and embryonic endoderm cells occurs more than once during mammalian development. We map the trajectories of endoderm cells as they acquire embryonic versus extra-embryonic fates, and their spatial convergence within the gut endoderm; revealing them to be globally similar but retaining aspects of their lineage history. We observe the regionalized localization of cells along the forming gut tube, reflecting their extra-embryonic or embryonic origin, and their coordinate patterning into organ-specific territories along the anterior-posterior axis.

2019-04-10 | GSE123124 | GEO

The emergent landscape of the mouse gut endoderm at single-cell resolution

2019-04-10 | GSE123046 | GEO

The emergent landscape of the mouse gut endoderm at single-cell resolution

Project description:The emergent landscape of the mouse gut endoderm at single-cell resolution

| PRJNA507408 | ENA

The emergent landscape of the mouse gut endoderm at single-cell resolution

Project description:The emergent landscape of the mouse gut endoderm at single-cell resolution

| PRJNA507618 | ENA

The emergent landscape of the mouse gut endoderm at single-cell resolution

Project description:The emergent landscape of the mouse gut endoderm at single-cell resolution

| PRJNA507604 | ENA

Genome-wide profiling of the functional DNA methylation landscape at base-pair resolution in human cancer types

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2016-01-08 | E-GEOD-52272 | biostudies-arrayexpress

Multi-omics profiling of mouse gastrulation at single cell resolution

Project description:This SuperSeries is composed of the SubSeries listed below. Useful links: Parsed data: (ftp://ftp.ebi.ac.uk/pub/databases/scnmt_gastrulation) Github repository: (https://github.com/rargelaguet/scnmt_gastrulation)

2019-09-30 | GSE121708 | GEO

Chromatin and gene-regulatory dynamics of mouse nephron progenitors at single-cell resolution

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-04-01 | GSE180902 | GEO

Single base resolution analysis of 5-formyl and 5-carboxyl cytosine reveals the actual promoter DNA methylation dynamics in embryonic stem cells

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-02-10 | E-GEOD-55660 | biostudies-arrayexpress