Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell transcriptome Atlas reveals embryonic endothelial heterogeneity

ABSTRACT: Single-cell transcriptome Atlas reveals embryonic endothelial heterogeneity

PROVIDER: PRJNA896490 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22123000.fastq.gz	Fastqsanger.gz
	SRR22123001.fastq.gz	Fastqsanger.gz
	SRR22123002.fastq.gz	Fastqsanger.gz
	SRR22123003.fastq.gz	Fastqsanger.gz
	SRR22123004.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 18

Similar Datasets

MERFISH reveals embryonic endothelial heterogeneity

Project description:MERFISH reveals embryonic endothelial heterogeneity

| PRJNA1038713 | ENA

MERFISH reveals embryonic endothelial heterogeneity

Project description:The heterogeneity of embryonic endothelial cells (ECs) especially the distinction of arteriovenous ECs remains incompletely characterized. We established a mouse single-EC transcriptomic landscape at mid-to-late gestation stage and identified 19 subclusters, including Etv2+Bnip3+ early ECs and 2 specialized ECs. Most of these subtypes were grouped by their vascular-bed types, while ECs from brain, heart and liver were grouped by their tissue origins. Unlike arterial ECs (aECs), embryonic venous (vECs) and capillary ECs (cECs) shared less markers with their adult counterparts. Notably, capillary clusters showed some venous characteristics and one of them served as an intermediate state of arteriovenous specification. Compared to the more early stage, a clear arteriovenous branch which also going through a venous plexus was identified. aECs and vECs showed distinct transcriptional modules including specific regulatory networks of transcription factors. Especially, USF1 and MECOM were verified functioning in arteriovenous differentiation through human induced pluripotent stem cells (hiPSC) differentiation models. We therefore provide a new map of endothelial heterogeneity highlighting regulation of arteriovenous specification.

2024-01-25 | GSE247450 | GEO

Single-cell transcriptome Atlas reveals embryonic endothelial heterogeneity

Project description:Mature endothelial cells (ECs) are heterogeneous, with subtypes defined by tissue origin and by position within the vascular bed. Here, we performed scRNA-seq with mouse embryonic ECs and identified 19 subclusters, including Etv2+Bnip3+ early EC progenitors. Most of these subtypes were grouped by their vascular-bed types, while ECs from brain, heart and liver were grouped by their tissue origins. Compared to arterial ECs (aECs), embryonic venous (vECs) and capillary ECs (cECs) shared less markers with their adult counterparts. cECs showed some venous characteristics. One cEC cluster with both venous and capillary features served as a branch point for aEC and vEC lineages. aECs and vECs showed distinct transcriptional regulatory networks.

2024-01-25 | GSE216970 | GEO

Endothelial Cell Atlas

Project description:Endothelial Cell Atlas

| PRJEB33116 | ENA

A Rat Liver Cell Atlas Reveals Intrahepatic Myeloid Heterogeneity.

Project description:A Rat Liver Cell Atlas Reveals Intrahepatic Myeloid Heterogeneity.

| PRJNA908768 | ENA

A single cell transcriptome atlas of murine endothelial cells

Project description:The heterogeneity of endothelial cells (ECs), lining blood vessels, across tissues remains incompletely inventoried. We constructed an atlas of >32,000 single-EC transcriptomic data from 11 tissues of the model organism Mus musculus. We propose a new classification of EC phenotypes based on transcriptome signatures and inferred putative biological features. We identified top-ranking markers for ECs from each tissue. ECs from different vascular beds (arteries, capillaries, veins, lymphatics) resembled each other across tissues, but only arterial, venous and lymphatic (not capillary) ECs shared markers, illustrating a greater heterogeneity of capillary ECs. We identified high-endothelial-venule and lacteal-like ECs in the intestines, and angiogenic ECs in healthy tissues. Metabolic transcriptomes of ECs differed amongst spleen, lung, liver, brain and testis, while being similar for kidney, heart, muscle and intestines. Within tissues, metabolic gene expression was heterogeneous amongst ECs from different vascular beds, altogether highlighting large EC heterogeneity.

2020-02-13 | E-MTAB-8077 | biostudies-arrayexpress

A Human Liver Cell Atlas reveals Heterogeneity and Epithelial Progenitors

Project description:A Human Liver Cell Atlas reveals Heterogeneity and Epithelial Progenitors

| PRJNA511895 | ENA

A healthy human liver cell atlas reveals hepatic stellate cell heterogeneity

Project description:A healthy human liver cell atlas reveals hepatic stellate cell heterogeneity

| PRJNA666353 | ENA

Single-cell atlas reveals meningeal leukocyte heterogeneity in the developing mouse brain

Project description:Single-cell atlas reveals meningeal leukocyte heterogeneity in the developing mouse brain

| PRJNA726986 | ENA

Microvascular endothelial heterogeneity

Project description:The goal of this study was to gain insight into the molecular heterogeneity of capillary endothelial cells derived from different organs by microarray profiling of freshly isolated cells and identify transcription factors that may determine the specific gene expression profile of endothelial cells from different tissues. The study focused on heart endothelial cells and presents a validated signature of 31 genes that are highly enriched in heart endothelial cells. Within this signature 5 transcription factors were identified and the optimal combination of these transcription factors was determined for specification of the heart endothelial fingerprint. From three tissue types (mouse brain, heart and liver), we collected five freshly isolated endothelial cell samples each. For each brain sample we pooled RNA from 6 mice. For each heart sample we pooled RNA from 4 mice. For each liver sample we pooled RNA from 2 mice. The three endothelial subtypes were then compared. For each subtype, specific gene profiles were defined by determining the genes that were highly enriched versus the other two endothelial subtypes.

2015-02-19 | E-GEOD-48209 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data