Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE247586 | GEO | 2024/06/26

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature I

Project description:Senescent endothelial cells accumulate in blood vessels during aging and contribute to age-related cardiovascular disease. Identification of senescent cells is challenging as molecular changes are cell-type specific. Here, we established, benchmarked, and validated a new gene signature EndoSEN that pinpoints senescent endothelial cells. The EndoSEN signature was enriched for interferon stimulated genes (ISG) and correlated with the senescence-associated secretory phenotype (SASP) signature. SASP establishment is classically attributed to DNA damage and cGAS activation, but our results revealed a pivotal role for RNA accumulation and sensing. Mechanistically, we showed that endothelial senescence hallmarks include self-RNA accumulation, RNA sensor RIG-I upregulation, and an ISG signature. Moreover, a virtual model of RIG-I knockout in endothelial cells underscored senescence as an impacted pathway. We tested and confirmed that RIG-I knockdown was sufficient to extend the lifespan and decrease the SASP in endothelial cells. Our evidence suggests that targeting RNA sensing is a potential strategy to delay vascular aging.

2024-06-26 | GSE247546 | GEO

RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature II

2024-06-26 | GSE247585 | GEO

RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature [RIP-seq]

2024-06-26 | GSE248603 | GEO

RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature

Project description:RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature

| PRJNA1039768 | ENA

RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature I

Project description:RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature I

| PRJNA1039519 | ENA

RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature II

Project description:RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature II

| PRJNA1039773 | ENA

RNA accumulation in aged endothelial cells links an interferon gene signature to cellular senescence

Project description:RNA-seq was performed on early passage and senescent human retinal microvascular endothel cells (HRMECs), to determine transcriptomic changes. Replicative and Etoposide-induced senescent HRMECs senescence-associated gene signature and upregulation of an interferon related gene signature.

2023-10-27 | GSE160356 | GEO

RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature [RIP-seq]

Project description:RIG-I sensing of self-RNA in aged endothelial cells links cellular senescence with an interferon gene signature [RIP-seq]

| PRJNA1044835 | ENA

RNA accumulation in aged endothelial cells links an interferon gene signature to cellular senescence

Project description:RNA accumulation in aged endothelial cells links an interferon gene signature to cellular senescence

| PRJNA672989 | ENA

Transcriptome signature of cellular senescence.

Project description:Cellular senescence, an integral component of aging and cancer, arises in response to diverse triggers, including telomere attrition, macromolecular damage and signaling from activated oncogenes. At present, senescent cells are identified by the combined presence of multiple traits, such as senescence-associated protein expression and secretion, DNA damage and β-galactosidase activity; unfortunately, these traits are neither exclusively nor universally present in senescent cells. To identify robust shared markers of senescence, we have performed RNA-sequencing analysis across eight diverse models of senescence triggered in human diploid fibroblasts (WI-38, IMR-90) and endothelial cells (HUVEC, HAEC) by replicative exhaustion, exposure to ionizing radiation or doxorubicin, and expression of the oncogene HRASG12V. The intersection of the altered transcriptomes revealed 50 RNAs consistently elevated and 18 RNAs consistently reduced across all senescence models, including many protein-coding mRNAs and some non-coding RNAs. We propose that these shared transcriptome profiles will enable the identification of senescent cells in vivo, the investigation of their roles in aging and malignancy and the development of strategies to target senescent cells therapeutically.

| S-EPMC6698740 | biostudies-literature

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