Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [Tissue_RNA-seq]

ABSTRACT: Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [Tissue_RNA-seq]

PROVIDER: PRJNA957899 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24234968_1.fastq.gz	Fastqsanger.gz
	SRR24234968_2.fastq.gz	Fastqsanger.gz
	SRR24234969_1.fastq.gz	Fastqsanger.gz
	SRR24234969_2.fastq.gz	Fastqsanger.gz
	SRR24234970_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis

Project description:Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis

| PRJNA957855 | ENA

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [RNA-seq_PBMC]

Project description:Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [RNA-seq_PBMC]

| PRJNA957897 | ENA

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [DRUG_RNA-seq]

Project description:Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [DRUG_RNA-seq]

| PRJNA957898 | ENA

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [RNA-seq_PBMC]

Project description:we present a novel path to drug repurposing to identify new immunotherapies for ASCVD. The integration of time of-flight mass cytometry (CyTOF) and RNA-sequencing identified unique inflammatory signatures in peripheral blood mononuclear cells (PBMCs) stimulated with ASCVD plasma. By comparing these inflammatory signatures to large-scale gene expression data from the LINCS L1000 dataset, we identified drugs that could reverse this inflammatory response. In conclusion, a systems immunology-driven drug repurposing with pre- clinical validation strategy can aid the development of new cardiovascular immunotherapies.

2023-04-23 | GSE230214 | GEO

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [Tissue_RNA-seq]

2023-04-23 | GSE230216 | GEO

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [DRUG_RNA-seq]

2023-04-23 | GSE230215 | GEO

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis

Project description:This SuperSeries is composed of the SubSeries listed below.

2023-04-22 | GSE230217 | GEO

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis.

Project description:The development of new immunotherapies to treat the inflammatory mechanisms that sustain atherosclerotic cardiovascular disease (ASCVD) is urgently needed. Herein, we present a path to drug repurposing to identify immunotherapies for ASCVD. The integration of time-of-flight mass cytometry and RNA sequencing identified unique inflammatory signatures in peripheral blood mononuclear cells stimulated with ASCVD plasma. By comparing these inflammatory signatures to large-scale gene expression data from the LINCS L1000 dataset, we identified drugs that could reverse this inflammatory response. Ex vivo screens, using human samples, showed that saracatinib-a phase 2a-ready SRC and ABL inhibitor-reversed the inflammatory responses induced by ASCVD plasma. In Apoe-/- mice, saracatinib reduced atherosclerosis progression by reprogramming reparative macrophages. In a rabbit model of advanced atherosclerosis, saracatinib reduced plaque inflammation measured by [18F] fluorodeoxyglucose positron emission tomography-magnetic resonance imaging. Here we show a systems immunology-driven drug repurposing with a preclinical validation strategy to aid the development of cardiovascular immunotherapies.

| S-EPMC10538622 | biostudies-literature

Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19

Project description:Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19

| PRJNA680293 | ENA

Integrated systems immunology approach identifies impaired effector T cell memory responses as a feature of progression to severe dengue fever

Project description:Typical symptoms of uncomplicated dengue fever (DF) include headache, muscle pains, rash, cough, and vomiting. A proportion of cases progress to severe dengue hemorrhagic fever (DHF), associated with vascular permeability, thrombocytopenia, and hemorrhages. Progression to severe dengue is difficult to diagnose at the onset of fever, which complicates patient triage, posing a socio-economic burden on health systems. To identify parameters associated with protection and susceptibility to DHF, we pursued a systems immunology approach integrating plasma chemokine profiling, high-dimensional mass cytometry and peripheral blood mononuclear cell transcriptomic analysis at the onset of fever in a prospective study conducted in Indonesia.

2023-04-13 | GSE215835 | GEO

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