Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell, whole genome analysis of the aging human cardiomyocytes

ABSTRACT: Single cell, whole genome analysis of the aging human cardiomyocytes

PROVIDER: PRJNA673636 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Single cell, whole genome analysis of the aging human cardiomyocytes

Project description:Single cell, whole genome analysis of the aging human cardiomyocytes

| PRJNA673635 | ENA

Single cell, whole genome analysis of the aging human cardiomyocytes

Project description:Single cell, whole genome analysis of the aging human cardiomyocytes

| PRJNA673636 | ENA

Decoding Aging in the Heart via Single Cell Dual Omics of Non-Cardiomyocytes

Project description:Decoding Aging in the Heart via Single Cell Dual Omics of Non-Cardiomyocytes

| PRJNA1163378 | ENA

Whole transcriptional analysis of induced cardiomyocytes from MICFs

Project description:Whole transcriptional analysis of induced cardiomyocytes from MICFs

| PRJNA704652 | ENA

Decoding Aging in the Heart via Single Cell Dual Omics of Non-Cardiomyocytes (scATAC-Seq)

Project description:(scRNA and scATAC) in profiling non-myocytes (non-CMs) from young, middle-aged, and elderly mice. Non-CMs, vital in heart development, physiology, and pathology, are understudied compared to cardiomyocytes. Our analysis revealed aging response heterogeneity and its dynamics over time among non-CM cell types. Immune cells, notably macrophages and neutrophils, showed significant aging alterations, while endothelial cells displayed moderate changes. We identified distinct aging signatures within the cell type, including differential gene expression and transcription factor activity, along with motif variation. Sub-cluster analysis revealed intra-cell type heterogeneity, characterized by diverse aging patterns. The senescence-associated secretory phenotype (SASP) emerged as a key aging-related phenotype. Moreover, aging significantly influenced cell-cell communication, especially impacting a fibroblast sub-cluster with high expression of Erbb4. This study elucidates the complex cellular and molecular landscape of cardiac aging in non-CMs, highlighting their importance in cardiac aging and offering guidance for future potential therapeutic avenues to treat aging-related heart diseases.

2024-11-01 | GSE277701 | GEO