Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome analysis of human embryonic stem cell differentiation to endothelial cells

ABSTRACT: Transcriptome analysis of human embryonic stem cell differentiation to endothelial cells

PROVIDER: PRJNA484413 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7643160_1.fastq.gz	Fastqsanger.gz
	SRR7643160_2.fastq.gz	Fastqsanger.gz
	SRR7643170_1.fastq.gz	Fastqsanger.gz
	SRR7643170_2.fastq.gz	Fastqsanger.gz
	SRR7643161_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 40

Similar Datasets

Embryonic stem sell differentiation time course

Project description:During in vitro differentiation, pluripotent stem cells undergo extensive remodeling of their gene expression profiles. While studied extensively at the transcriptome level, much less is known about protein dynamics, which might differ significantly from their mRNA counterparts. Here, we present deep proteome-wide measurements of protein levels during the differentiation of embryonic stem cells.

2017-01-10 | MSV000080461 | MassIVE

Vascular endothelial cells differentiation from mouse embryonic stem cells

Project description:Vascular endothelial cells differentiation from mouse embryonic stem cells

| PRJNA374535 | ENA

Transcriptome analysis of human embryonic stem cell differentiation to endothelial cells

Project description:Deep RNA sequencing was performed during human embryonic stem cell (hESC) differentiation to endothelial cells (ECs), via mesodermal precursors. Our work focused on long non-coding RNAs (lncRNAs) regulated during EC differentiation as lncRNA are known regulators of cell differentiation, physiology and disease. EC-enriched lncRNAs were screened for binding sites for the transcription factor ERG, important for endothelial cell identity and function. The LINC00961 gene, first annotated as a lncRNA but now reassigned as a protein coding gene for the SPAAR micropeptide, was potently activated during differentiation. Using primary ECs, we studied the role of LINC00961 locus after depletion and gain of function experiments and showed its effect on EC adhesion, tube formation, migration and proliferation. We showed that LINC00961 functions as a bona fide non-coding RNA in ECs, at least in part, through binding to TMSB4X.

2020-03-23 | GSE118106 | GEO

Metabolomics Workbench ST000003 - GNPS - Metabolomic analysis of mouse embryonic fibroblasts, embryonic stem cells, and induced pluripotent stem cells

Project description:mouse embryonic fibroblasts, embryonic stem cells, and induced pluripotent stem cells were compared via metabolomic analysis

2018-08-02 | MSV000082680 | GNPS

Gene expression analysis of embryonic stem cells expressing VE-cadherin (CD144) during endothelial differentiation

2008-07-14 | GSE10210 | GEO

Metabolomic analysis of mouse embryonic fibroblasts, embryonic stem cells, and induced pluripotent stem cells

Project description:mouse embryonic fibroblasts, embryonic stem cells, and induced pluripotent stem cells were compared via metabolomic analysis

2013-01-16 | ST000003 | MetabolomicsWorkbench

Transcription profiling of mouse embryonic stem cells expressing VE-cadherin (CD144) during endothelial differentiation

Project description:Endothelial differentiation occurs during normal vascular development in the developing embryo. Mouse embryonic stem (ES) cells were used to further define the molecular mechanisms of endothelial differentiation. By flow cytometry a population of VEGF-R2 positive cells was identified as early as 2.5 days after differentiation of ES cells, and a subset of VEGF-R2 + cells, that were CD41+ positive at 3.5 days. A separate population of VEGF-R2+ stem cells expressing the endothelial-specific marker CD144 (VE-cadherin) was also identified at this same time point. Microarray analysis of >45,000 transcripts was performed on RNA obtained from cells expressing VEGF-R2, CD41, and CD144. Experiment Overall Design: We identified four populations of cells; cells expressing VEGF-R2 (day 2.5), CD41 expressing cells (day 3.5), cells expressing CD144 (VE-Cadherin, day 3.5), and cells expressing CD144 (day 6.5). In addition to this, we have also obtained the negative control cells at each time such as VEGF-R2 (day 2.5) negative, CD41 negative (day 3.5), CD144 negative (VE-Cadherin, day 3.5), and negative CD144 (day 6.5). RNA for the microarray experiments were obtained in duplicate from two separately conducted experiments using the murine embryonic stem cells..

2008-10-20 | E-GEOD-10210 | biostudies-arrayexpress

Dynamic proteomic profiling of extra-embryonic endoderm differentiation in mouse embryonic stem cells

Project description:During mammalian pre-implantation development, the cells of the blastocyst’s inner cell mass differentiate into the epiblast and primitive endoderm lineages, which give rise to the fetus and extra-embryonic tissues, respectively. Extra-embryonic endoderm differentiation can be modeled in vitro by induced expression of GATA transcription factors in mouse embryonic stem cells. Here we use this GATA-inducible system to quantitatively monitor the dynamics of global proteomic changes during the early stages of this differentiation event and also investigate the fully differentiated phenotype, as represented by embryo-derived extra-embryonic endoderm (XEN) cells. Using mass spectrometry-based quantitative proteomic profiling with multivariate data analysis tools, we reproducibly quantified 2,336 proteins across three biological replicates and have identified clusters of proteins characterized by distinct, dynamic temporal abundance profiles. We first used this approach to highlight novel marker candidates of the pluripotent state and extra-embryonic endoderm differentiation. Through functional annotation enrichment analysis, we have shown that the downregulation of chromatin-modifying enzymes, the re-organization of membrane trafficking machinery and the breakdown of cell-cell adhesion are successive steps of the extra-embryonic differentiation process. Thus, applying a range of sophisticated clustering approaches to a time-resolved proteomic dataset has allowed the elucidation of complex biological processes which characterize stem cell differentiation and could establish a general paradigm for the investigation of these processes.

2015-06-13 | PXD001901 | Pride

endothelial differentiation of glioblastoma stem cells

Project description:Comparison between glioblastoma stem cell lines driven to endothelial differentiation and endothelial cell cultures

2011-02-18 | E-MEXP-2891 | biostudies-arrayexpress

Metabolomic Profiling of Human Pluripotent Stem Cell Differentiation into Lung Progenitors

Project description:Metabolism is vital to cellular function and tissue homeostasis during human lung development. In utero, embryonic pluripotent stem cells undergo endodermal differentiation towards a lung progenitor cell fate that can be mimicked in vitro using induced human pluripotent stem cells (hiPSCs) to study genetic mutations. To identify differences between wild type and surfactant protein B (SFTPB)-deficient cell lines during endoderm specification towards lung, we used an untargeted metabolomics approach to evaluate the developmental changes in metabolites. We found that the metabolites most enriched during the differentiation from pluripotent stem cell to lung progenitor cell, regardless of cell line, were sphingomyelins and phosphatidylcholines, two important lipid classes in fetal lung development. The SFTPB mutation had no metabolic impact on early endodermal lung development. The identified metabolite signatures during lung progenitor cell differentiation may be utilized as biomarkers for normal embryonic lung development.

2021-06-29 | ST002055 | MetabolomicsWorkbench

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