Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MERFISH reveals embryonic endothelial heterogeneity

ABSTRACT: 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.

ORGANISM(S): synthetic construct Mus musculus

PROVIDER: GSE247450 | GEO | 2024/01/25

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

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

Efficient direct reprogramming of c-Kit− mature amniotic cells into endothelial cells by ETS factors and TGFβ suppression

Project description:ETS transcription factors ETV2, FLI1 and ERG1 specify pluripotent stem cells into endothelial cells (PSC-ECs). However, these PSC-ECs are unstable and often drift towards non-vascular cell fates. We show that human mid-gestation c-Kit- lineage-committed amniotic cells (ACs) can be reprogrammed into induced vascular endothelial cells (rAC-VECs). Transient ETV2 expression in ACs generated immature iVECs, while co-expression with FLI1/ERG1 endowed rAC-VECs with a vascular repertoire and morphology matching mature ECs. Brief TGFb-inhibition functionalizes VEGFR2 signaling, augmenting specification of ACs into rAC-VECs. Genome-wide transcriptional analyses showed that rAC-VECs are similar to adult ECs in which vascular-specific genes are expressed and non-vascular genes are silenced. Functionally, rAC-VECs form stable vasculature in Matrigel plugs and regenerating livers. Thus, short-term ETV2 expression and TGFb-inhibition along with constitutive ERG1/FLI1 co-expression reprogram mature ACs into generic rAC-VECs with clinical-scale expansion potential. Public banking of HLA-typed rAC-VECs would establish a vascular inventory for treatment of genetically diverse disorders. Transcriptome sequencing of clonal and non-clonal rAC-VECs, HUVECs, LSECs, CD34+/Lin-, BMS

2012-10-30 | E-GEOD-40291 | biostudies-arrayexpress

Early and extensive venous arterialization during mammalian embryogenesis

Project description:The cellular evolutions and molecular programs underlying the arteriovenous fate settling of embryonic vascular endothelial cells (ECs) are critical for understanding arteriogenesis and inspiring new approaches for regenerative biology. Using different strategies of single-cell RNA sequencing, we constructed the transcriptional landscape of early arteriovenous EC development in both mouse and human embryos, demonstrating the evolutionary conservation of principal vascular EC types and providing a series of conserved arteriovenous genes. We showed an unexpected diversity of arteriovenous characteristics in morphologically alike vascular plexus and further uncovered two transcriptomically distinct arterial EC types, whereas most of heterologous ligand-receptor pairs were shared by different arterial vasculatures. By computational predicting and further genetic lineage tracing, we revealed the widespread venous arterialization in the mid-gestational mouse embryo proper. Interestingly, we demonstrated at transcriptomic level that Notch1 was dispensable for venous arterialization but required subsequently for the arterial feature strengthening in the arterial plexus ECs. Altogether, our findings unprecedentedly detail the comprehensive single-cell mapping of early embryonic vascular ECs in vivo, decipher an asymmetric arteriovenous characteristics different than that in adults, and reveal an extensive venous-to-arterial fate conversion in the vascular plexus.

2022-01-26 | GSE94877 | GEO

Efficient direct reprogramming of c-Kit− mature amniotic cells into endothelial cells by ETS factors and TGFβ suppression

2012-10-30 | GSE40291 | GEO

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

Induced Endothelial Cell Cycle Arrest Prevents Arterio-venous Malformations in Hereditary Hemorrhagic Telangiectasia (Bulk RNA-Seq)

Project description:Distinct endothelial cell cycle states (early G1 vs. late G1) provide different “windows of opportunity” to enable the differential expression of genes that regulate venous and arterial specification, respectively. Endothelial cell cycle control and arterial-venous identities are disrupted in vascular malformations including arteriovenous (AV) shunts which is a hallmark of hereditary hemorrhagic telangiectasia (HHT). We show how endothelial cell late G1 arrest induced by Palbociclib modulates the expression of genes regulating arterio-venous identity and prevents AVM development induced by BMP9/10 inhibition.

2023-12-31 | GSE245197 | GEO

Fractalkine Antibody Attenuates Venous Neointimal Hyperplasia of Arteriovenous Fistula in Mice model

Project description:Fractalkine Antibody Attenuates Venous Neointimal Hyperplasia of Arteriovenous Fistula in Mice model

2021-09-15 | GSE161555 | GEO

1α,25-Dihydroxyvitamin D3 encapsulated in Nanoparticles Prevents Venous Neointimal Hyperplasia and Stenosis in Porcine Arteriovenous Fistulas

Project description:1α,25-Dihydroxyvitamin D3 encapsulated in Nanoparticles Prevents Venous Neointimal Hyperplasia and Stenosis in Porcine Arteriovenous Fistulas

2021-04-07 | GSE161554 | GEO

Mapping the developing human cardiac endothelium at single cell resolution identifies MECOM as a regulator of arteriovenous identity.

Project description:Aims: Coronary vasculature formation is a critical event during cardiac development, essential for heart function throughout perinatal and adult life. However, current understanding of coronary vascular development has largely been derived from transgenic mouse models. The aim of this study was to characterise the transcriptome of the human fetal cardiac endothelium using single-cell RNA sequencing (scRNA-seq) to provide critical new insights into the cellular heterogeneity and transcriptional dynamics that underpin endothelial specification within the vasculature of the developing heart. Methods and Results: We acquired scRNA-seq data of over 10,000 fetal cardiac endothelial cells (EC), revealing divergent EC subtypes including endocardial, capillary, venous, arterial, and lymphatic populations. Gene regulatory network analyses predicted roles for SMAD1 and MECOM in determining the identity of capillary and arterial populations, respectively. Trajectory inference analysis suggested an endocardial contribution to the coronary vasculature and subsequent arterialisation of capillary endothelium accompanied by increasing MECOM expression. Comparative analysis of equivalent data from murine cardiac development demonstrated that transcriptional signatures defining endothelial subpopulations are largely conserved between human and mouse. Furthermore, we revealed that knockdown of MECOM in human embryonic stem cell-derived EC (hESC-EC) resulted in an increase in venous EC marker expression, validating our prediction of its role in arterial EC identity. Conclusions: scRNA-seq of the human fetal cardiac endothelium identified distinct EC populations. A predicted endocardial contribution to the developing coronary vasculature was identified, as well as subsequent arterial specification of capillary EC. Loss of MECOM in hESC-EC increased venous EC marker expression, suggesting a role in maintaining arterial EC identity.

2022-03-02 | GSE195911 | GEO

Single-Cell Transcriptomics Identifies Brain Endothelium Inflammatory Networks in Experimental Autoimmune Encephalomyelitis

Project description:Multiple sclerosis (MS) is a neuroinflammatory and neurodegenerative disease characterized by infiltration of immune cells in multifocal areas of the central nervous system (CNS). The specific molecular processes allowing autoreactive immune cells to enter the CNS compartment through the blood-brain barrier (BBB) remain elusive. Using endothelial cells (ECs) enrichment and single-cell RNA sequencing (scRNA-Seq), we characterized the cells implicated in the neuroinflammatory processes in experimental auto-immune encephalomyelitis, an animal model of MS. We found an upregulation of genes associated with antigen presentation and interferon in most populations of CNS-resident cells, including ECs. Interestingly, a gradient of gene expression rather than distinct transcriptional profiles separated the arteriovenous zonation of the brain vasculature. However, differential gene expression analysis showed more transcriptomic alterations in venous ECs, suggesting their prominent role in neuroinflammation. Furthermore, analysis of ligand-receptor interactions identified important crosstalk between venous ECs and infiltrating immune subsets. To confirm the relevance of our observation in the context of human disease, we validated the protein expression of the most differentially expressed genes in MS lesions. Here, we demonstrate a landscape of the cellular heterogeneity involved in neuroinflammation and provide important molecular insights in unraveling specific cell processes that lead to the infiltration of the brain by immune cells in EAE.

2022-12-01 | GSE199460 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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