Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Role of Circulating Exosomal miRNAs in early diabetic retinopathy

ABSTRACT: Role of Circulating Exosomal miRNAs in early diabetic retinopathy

PROVIDER: PRJNA914750 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22853015.fastq.gz	Fastqsanger.gz
	SRR22853016.fastq.gz	Fastqsanger.gz
	SRR22853017.fastq.gz	Fastqsanger.gz
	SRR22853018.fastq.gz	Fastqsanger.gz
	SRR22853019.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

Role of Circulating Exosomal miRNAs in early diabetic retinopathy

Project description:To investigate the possibilities of circulating exosomal miRNAs in the early screening and prevention of diabetic retinopathy(DR), and to explore how the exosomal miRNAs functioning in DR. We then performed gene expression profiling analysis using data obtained from small RNA-seq of 3 diabetes mellitus(DM) patients and 3 DR patients.

2023-07-12 | GSE221535 | GEO

A single cell atlas of circulating immune cells involved in diabetic retinopathy

Project description:Circulating immune cells play a role in the pathophysiology of diabetic retinopathy (DR). Our study focused on examining the exact role of circulating immune cells in the development of DR. Single-cell RNA sequencing (scRNA-seq) techniques revealed unique differentially-expressed genes and pathways in circulating immune cells among non-diabetic retinopathy (NDR) patients and DR patients. These findings highlight the notable alterations in the immunophenotypes of circulating immune cells in patients with type 1 DR.

2024-02-14 | GSE248284 | GEO

Keratinocyte-derived circulating exosomal miRNAs as a novel biomarker of disease severity in psoriasis

Project description:To reveal the relationship between circulating exosomal miRNAs and the disease severity of psoriasis, we performed next-generation sequencing from plasma exosomes of patients with high psoriasis area and severity index (PASI) score (>10) and low PASI score (<5). We identified 19 differentially expressed exosomal miRNAs that were significantly different between the groups. We validated the top three up-and down-regulated exosomal miRNAs using quantitative real-time PCR.

2024-03-13 | GSE215124 | GEO

Association between lncRNAs in plasma exosomes and diabetic retinopathy

Project description:Long noncoding RNA (lncRNA) in plasma exosomes is a potential non-invasive diagnostic biomarker for diabetic retinopathy (DR). However, the changes in plasma exosomal lncRNAs and diagnostic relevance in patients with DR patients remain unclear. A case–control study with type 2 diabetes mellitus (T2DM) and patients with comorbid DR were enrolled, and their clinical information and blood samples were collected.

2022-09-06 | GSE212594 | GEO

Incipient diabetic retinopathy - Early regulation of genes

Project description:The development of diabetic retinopathy is well characterized on a histological level. Early vascular alterations involve the loss of pericytes. Earlier mechanisms leading to the phenotype of diabetic retinopathy, which involves the complete neurovascular unit, are not yet fully understood. The gene expression data presented here is derived from microarrays and gives further insights into early genetic regulation in incipient diabetic retinopathy.

2019-01-17 | GSE111465 | GEO

Mendelian randomization identifies FLCN expression as a mediator of diabetic retinopathy

Project description:The goal of the study was to identify genes whose aberrant expression can contribute to diabetic retinopathy. We determined differential response in gene expression to high glucose in lymphoblastoid cell lines derived from matched type 1 diabetic individuals with and without retinopathy. Those genes exhibiting the largest difference in glucose response between diabetic subjects with and without retinopathy were assessed for association to diabetic retinopathy utilizing genotype data from a meta-genome-wide association study. All genetic variants associated with gene expression (expression QTLs; eQTLs) of the glucose response genes were tested for association with diabetic retinopathy. We detected an enrichment of the glucose response gene eQTLs among small association p-values for diabetic retinopathy. Among these, we identified FLCN as a susceptibility gene for diabetic retinopathy. Expression of FLCN in response to glucose is greater in individuals with diabetic retinopathy compared to diabetic individuals without retinopathy. Three large, independent cohorts of diabetic individuals revealed an enhanced association of FLCN eQTL to diabetic retinopathy. Mendelian randomization confirmed a direct positive effect of increased FLCN expression on retinopathy in diabetic individuals. Together, our studies integrating genetic association and gene expression implicate FLCN as a disease gene in diabetic retinopathy.

2020-03-10 | GSE146615 | GEO

Circulating exosomal microRNA profiling of diabetic patients with and without Metabolic Dysfunction-Associated Steatohepatitis

Project description:This study was designed to identify non-invasive biomarkers for the diagnosis of MASH in patients with type 2 diabetes. The progression from simple steatosis to MASH in diabetic patients represents a critical clinical challenge, as it significantly increases the risk for cirrhosis and hepatocellular carcinoma. Current diagnostic methods are invasive and unsuitable for broad screening. We hypothesized that circulating exosomes contain a specific microRNA (miRNA) signature that can distinguish between diabetic patients with and without MASH. To test this, we isolated serum exosomes from both patient groups and performed small RNA sequencing to comprehensively profile their miRNA content. The goal of this dataset is to provide a resource of differentially expressed exosomal miRNAs that can serve as a foundation for the development of novel, non-invasive diagnostic tools for MASH in this high-risk population.

2025-11-21 | GSE303156 | GEO

circRNA profiles of diabetic retinopathy

Project description:To compare the circRNA expression profile of diabetic retinopathy with that of diabetes mellitus and controls, peripheral blood mononuclear cell samples were obtained and extracted from healthy controls and diabetes mellitus patients (with or without diabetic retinopathy). CircRNA Capital Bio Technology Human CircRNA Array v2 was performed to detect circRNA expression profiles. To further check differentiate circRNA, qRT_PCR assay was performed to detect the level of 5 candidates.

2022-01-21 | GSE193974 | GEO

Cellular and Molecular Linkage between Diabetic Nephropathy and Diabetic Retinopathy

Project description:Diabetic nephropathy and diabetic retinopathy are related. We used scRNA-seq and RNA-seq to analyze the cellular linkage between them.

2023-08-15 | GSE204880 | GEO

Maternal Circulating Exosomal miRNAs as Non-Invasive Biomarkers for Prediction of Fetal Ventricular Septal Defect

Project description:Objective:This study aims to discover circulating exosomal miRNAs as potential noninvasive biomarkers early detection of fetus with ventricular septal defect (VSD). Method:A total of 182 pregnant women including 91 VSD cases and 91 matched controls were included in this study. Exosomes were isolated and next-generation sequencing was used to obtain a profile of dysregulated exosomal miRNA. The differential abundance was verified by quantitative real-time PCR (q RT-PCR). . Receiver operating characteristic (ROC) curves were conducted to evaluate the diagnostic accucary Results: 77 serum exosomal miRNA were uncovered to be differentially expressed in the VSD group as compared to the control group. Among these, five down-regulated exosomal miRNA were validated by qRT-PCR. hsa-miR-146a-5p was identified to be capable of distinguishing VSDs from controls (area under the ROC (AUC): 0.997; p < 2.2e-16). Conclusion: circulating exosomal miRNA, in particular, hsa-miR-146a-5pmay be a predictive biomarker for non-invasive prenatal diagnosis of fetal VSDs.

2021-06-05 | GSE176134 | 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