Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptional features of biological age maintained in cultured cardiac interstitial cells

ABSTRACT: Single-cell RNA-seq (10X Genomics Chromium) to profile cultured cardiac interstitial cells derived from neonatal and adult cardiac tissue

ORGANISM(S): Homo sapiens

PROVIDER: GSE164026 | GEO | 2020/12/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptional features of biological age maintained in cultured cardiac interstitial cells

Project description:Transcriptional features of biological age maintained in cultured cardiac interstitial cells

| PRJNA688643 | ENA

Surface Lin28A Expression Consistent With Cellular Stress Parallels Indicators of Senescence

Project description:Single-cell RNA-seq (10X Genomics Chromium) to profile Adult cardiac interstitial sorted based on the presence of Lin28 on cell membrane surface Lin28S+/-.

2021-10-22 | GSE186176 | GEO

"Youthful" Phenotype of c-Kit+ Cardiac Fibroblasts [DDR2_cKit]

Project description:Single-cell RNA-seq (10X Genomics Chromium) to profile Adult cardiac interstitial cells sorted based on the presence of cKit, DDR2 and CD45 on cell membrane surface .

2021-11-18 | GSE188804 | GEO

Tetraploidy in Rodent Cardiac Stem Cells Confers Enhanced Biological Properties

Project description:Single-cell RNA-seq (10X Genomics Chromium) to profile of cardiac progenitor cells, comparing the transcriptomes of diploid and tetraploid cardiac progenitor cells

2018-11-02 | GSE122057 | GEO

In situ transcriptome characteristics are lost following culture adaptation of adult cardiac stem cells (10X Genomics scRNA-seq)

Project description:Single-cell RNA-seq (10X Genomics Chromium) to profile of cardiac progenitor cells, comparing the transcriptomes of freshly isolated and cultured cardiac progenitor cells

2018-09-12 | GSE114278 | GEO

Enhanced Myocardial Repair with CardioClusters

Project description:Single-cell RNA-seq (10X Genomics Chromium) to profile of mesenchymal stem cells (MSCs), cardiac and endothelial progenitor cells (CPC and EPC) and CardioCluster

2019-07-05 | GSE133832 | GEO

Genetics of Myocardial Interstitial Fibrosis in the Human Heart and Association with Disease

Project description:Myocardial interstitial fibrosis is a common thread in multiple cardiovascular diseases including heart failure, atrial fibrillation, conduction disease and sudden cardiac death. To investigate the biologic pathways that underlie interstitial fibrosis in the human heart, we developed a machine learning model to measure myocardial T1 time, a marker of myocardial interstitial fibrosis, in 41,505 UK Biobank participants. Greater T1 time was associated with diabetes mellitus, renal disease, aortic stenosis, cardiomyopathy, heart failure, atrial fibrillation, conduction disease and rheumatoid arthritis. Mendelian randomization analysis supported a potential causal role for diabetes mellitus type 1 in myocardial interstitial fibrosis. In genome-wide association analysis, we identified 11 independent loci associated with native myocardial T1 time. The identified loci implicated genes involved in glucose transport (SLC2A12), iron homeostasis (HFE, TMPRSS6), tissue repair (ADAMTSL1, VEGFC), oxidative stress (SOD2), cardiac hypertrophy (MYH7B) and calcium signaling (CAMK2D). Transcriptome-wide association studies highlighted the role of expression of ADAMTSL1 and SLC2A12 in human cardiac tissue in modulating myocardial interstitial fibrosis. Using a TGFβ1-mediated cardiac fibroblast activation assay, we found that 9 out of the 11 genome-wide significant loci comprised genes that exhibited temporal changes in expression and/or open chromatin conformation supporting the biological relevance of these loci to myocardial fibrosis and myofibroblast cell state acquisition. Harnessing machine learning to perform large-scale phenotyping of interstitial fibrosis in the human heart, our results yield novel insights into biologically relevant pathways to myocardial fibrosis and prioritize a number of pathways for further investigation.

2023-03-11 | GSE225336 | GEO

Safety profiling of genetically engineered Pim-1 kinase overexpression for oncogenicity risk in human c-kit+ cardiac interstitial cells

Project description:Bulk RNA-seq to profile of c-kit+ cardiac interstitial cells, comparing the transcriptomes of Pim-1 enhanced cardiac progenitor cells and transfection control

2019-01-04 | GSE124590 | GEO

Lung interstitial macrophages

Project description:Lung interstitial macrophages

| PRJNA798739 | ENA

Single-cell RNA-seq of mouse cardiac interstitial cells 3 & 7 days after sham or myocardial infarction injury and PDGF-AB or PBS delivery

Project description:The aims of the experiment were to profile the cardiac interstitial (non-myocyte) cell types in the adult mouse from injured and uninjured hearts and how they respond to modulation of platelet-derived growth factor receptor alpha (PDGFRa) signaling. Adult, male, C57BL/BJ mice were subject to either a myocardial infarction or sham injury, and given either PDGF-AB or PBS treatment via mini-pump, with single-cell RNA-seq profiles obtained from interstitial cells isolated from cardiac ventricles 3 or 7 days following surgery.

2023-05-31 | E-MTAB-7971 | 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