Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell chromatin landscape of non-myocytes reveals AP-1 as a key transcriptional regulator contributing to highly cooperative networks among non-myocyte subtypes during zebrafish heart regeneration [Cut&Tag]

ABSTRACT: We applied single-cell Assay for Transposase Accessible Chromatin using sequencing (scATAC-seq) to determine the intrinsic genetic programs underlying nonCM subpopulation determination during zebrafish heart regeneration at a single cell level. A total of approximately 13,000 single non-CMs derived from zebrafish hearts isolated at different time points during heart regeneration were measured and defined into diverse cell populations, exploited for cell type-specific cis-regulatory elements and enriched motifs as control catalog of downstream cell-state-determining transcription factors.

ORGANISM(S): Danio rerio

PROVIDER: GSE215987 | GEO | 2024/02/26

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Single-cell chromatin landscape of non-myocytes reveals AP-1 as a key transcriptional regulator contributing to highly cooperative networks among non-myocyte subtypes during zebrafish heart regeneration [ATAC-seq]

Project description:We applied single-cell Assay for Transposase Accessible Chromatin using sequencing (scATAC-seq) to determine the intrinsic genetic programs underlying nonCM subpopulation determination during zebrafish heart regeneration at a single cell level. A total of approximately 13,000 single non-CMs derived from zebrafish hearts isolated at different time points during heart regeneration were measured and defined into diverse cell populations, exploited for cell type-specific cis-regulatory elements and enriched motifs as control catalog of downstream cell-state-determining transcription factors.

2024-02-26 | GSE248538 | GEO

2024-02-26 | GSE215986 | GEO

Single-cell analysis of non-myocytes during heart regeneration reveals sequential coordinated responses from distinct cell populations [scRNA-seq]

Project description:Cardiac regeneration occurs primarily through proliferation of existing cardiomyocytes, yet the regenerative response also involves complex interactions between distinct cardiac cell types including not only cardiomyocytes, but also non-cardiomyocytes (nonCMs). However, the molecular features and cellular functions of the highly heterogeneous populations of nonCMs and how these populations cooperate to regenerate the injured heart remain largely unexplored. Using the newly developed LIGER algorithm that allows flexible modeling across highly diverse single-cell datasets, we analyzed the transcriptome dynamics of 61,977 individual nonCMs isolated at multiple time points during zebrafish heart regeneration. Combining single-cell analysis and in situ hybridization, we identified major nonCM cell types, including multiple novel subpopulations with unique tempo-spatial distributions and highly cooperative interactions in the regenerating heart. Interestingly, genetic perturbation of macrophage function by kit knockout led to accumulation of fibrotic deposits and severely compromised cardiomyocyte proliferation and myocardium regeneration. Our single-cell transcriptomic analysis of nonCMs during cardiac regeneration provides a blueprint for interrogating the molecular and cellular basis of cardiac regeneration.

2021-09-06 | GSE145980 | GEO

Single-cell analysis of non-myocytes during heart regeneration reveals sequential coordinated responses from distinct cell populations [bulk RNA-seq]

2021-09-06 | GSE145979 | GEO

Danio rerio

Project description:Unravelling Zebrafish Heart Regeneration at Single-Cell Level

| PRJNA629656 | ENA

Single Cell Epigenome Profiling of Cardiac Non-myocyte

Project description:The mammalian heart is composed of a variety types of cells that can be roughly categorized into cardiomyocytes and non-myocytes. Instead of being bystanders of cardiac function, cardiac non-myocytes provide critical structural, mechanical and electrophysiological support to the working myocardium. However, the precise cellular identity and molecular features of the non-myocytes at single cell level remain elusive. Depiction of epigenetic landscape with transcriptomic signatures using the latest single cell multi-omics has the potential to unravel the molecular programs of cardiac non-myocytes underlying their cellular diversity. To characterize the molecular and cellular features of cardiac non-myocytes populations in the adult murine heart at single cell level. We applied single cell Assay for Transposase Aaccessible Chromatin using sequencing (scATAC-seq) in combination with high-throughput single cell RNA-seq (scRNA-seq) to map the epigenetic landscape and gene expression program of cardiac non-myocytes from adult murine heart. Through integrated dual-omics data analysis, we categorize the cardiac non-myocytes into 4 defined populations including endothelial cells, fibroblast, pericytes and immune cells with distinct chromatin accessibility patterns. Cis- and trans-regulatory factors for each cell type were identified. In particular, unbiased sub-clustering and functional annotation of the cardiac fibroblast (FB), indicated the heterogeneity and functionality of FB subtypes associated with cellular response, cytoskeleton organization and immune regulation. We further validated the expression and function of novel markers in major FB sub-populations and experimentally determined the distribution of the FB sub-populations in healthy and injured murine heart. In summary, we comprehensively characterized the non-myocyte cellular identity at the single-cell level and defined FB subpopulations by their functional states.

2021-04-21 | GSE157445 | GEO

Single Cell Transcriptome Profiling of Cardiac Non-myocyte

2021-04-21 | GSE157444 | GEO

Danio rerio

Project description:Zebrafish heart regeneration

| PRJNA119275 | ENA

Danio rerio

Project description:Zebrafish heart regeneration

| PRJNA355135 | ENA

Transcriptional Reversion of Cardiac Myocyte Fate During Mammalian Cardiac Regeneration.

Project description:Rationale: Neonatal mice have the capacity to regenerate their hearts in response to injury, but this potential is lost after the first week of life. The transcriptional changes that underpin mammalian cardiac regeneration have not been fully characterized at the molecular level. Objective: The objectives of our study were to determine if myocytes revert the transcriptional phenotype to a less differentiated state during regeneration and to systematically interrogate the transcriptional data to identify and validate potential regulators of this process. Methods and Results: We derived a core transcriptional signature of injury-induced cardiac myocyte regeneration in mouse by comparing global transcriptional programs in a dynamic model of in vitro and in vivo cardiac myocyte differentiation, in vitro cardiac myocyte explant model, as well as a neonatal heart resection model. The regenerating mouse heart revealed a transcriptional reversion of cardiac myocyte differentiation processes including reactivation of latent developmental programs similar to those observed during de-stabilization of a mature cardiac myocyte phenotype in the explant model. We identified potential upstream regulators of the core network, including interleukin 13 (IL13), which induced cardiac myocyte cell cycle entry and STAT6/STAT3 signaling in vitro. We demonstrate that STAT3/periostin and STAT6 signaling are critical mediators of IL13 signaling in cardiac myocytes. These downstream signaling molecules are also modulated in the regenerating mouse heart. Conclusions: Our work reveals new insights into the transcriptional regulation of mammalian cardiac regeneration and provides the founding circuitry for identifying potential regulators for stimulating heart regeneration. Comparison of transcriptional programs of primary myocardial tissues sampled from neonatal mice and murine hearts undergoing post-injury regeneration, along with in vitro ESC-differentiated cardiomyocytes

2014-12-20 | E-GEOD-64403 | biostudies-arrayexpress

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