Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression profile of CircRNA in Type2 diabetes mellitus patients with retinopathy

ABSTRACT: Diabetic retinopathy (DR) is one of the common chronic complications of diabetes. Circular RNA (circRNA) plays a vital role in the pathological process of diabetic retinopathy (DR), this study aims to explore the differences in circRNA expression profiles and functions between DR and non-DR patients.Serum from diabetes mellitus (DM) patients with DR (n=5) and without DR (n=5) were extracted for circRNA microarray analysis using Arraystar Human circRNA expression profile (v2.0). Another 5 DR and 5 non-DR patients were included for quantitative reverse transcription polymerase chain reaction (RT-qPCR) validation. Enriched signaling pathways were analyzed by GO and KEGG analysis. circRNA–miRNA networks were constructed by bioinformatics analysis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE276127 | GEO | 2024/09/02

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

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

Influence of diabetic retinopathy on peripheral blood gene expression

Project description:To understand the association between systemic factors and the diabetic retinopathy, blood samples were collected in 50 healthy controls, 74 diabetic patients without diabetic retinopathy (DM group), and 69 diabetic retinopathy (DR Group). T1DM and T2DM in this study was based on the diagnostic criteria for diabetes proposed by the WHO in 1999. The diagnosis of DR was based on the international clinical classification of DR proposed at the 2002 International Ophthalmology Conference. We then performed gene expression profiling analysis using data obtained from RNA-seq of three patient groups.

2023-05-26 | GSE221521 | GEO

Extracellular vesicles of human diabetic retinopathy retinal tissue and urine of diabetic retinopathy patients analyzed using mass spectrometry

Project description:Diabetic Retinopathy (DR) is a potentially blinding retinal disorder which develops through the pathogenesis of diabetes. Extracellular Vesicles (EVs) provide a novel biomarker for pre-symptomatic disease diagnosis and prognosis. Proteomic analysis was performed on explanted DR retinal tissue, DR retinal EVs and DR urinary EVs. DR samples were compared to normal retinal tissue, retinal EVs and urinary EVs, respectively

2022-12-31 | PXD034626 | Pride

Expression profile of CircRNA in Type2 diabetes mellitus patients with retinopathy

Project description:Expression profile of CircRNA in Type2 diabetes mellitus patients with retinopathy

| PRJNA1154961 | ENA

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

Alterations of 5-Hydroxymethylcytosines in Circulating Cell-free DNA Reflect Retinopathy in Type 2 Diabetes

Project description:Diabetic retinopathy (DR) is a common microvascular complication that may cause severe visual impairment and blindness in patients with type 2 diabetes mellitus (T2DM). Early detection of DR will provide opportunities for more treatment options and better control of disease progression. Effective biomarkers, which are not currently available, may improve clinical outcomes through precise diagnosis and prognosis. We sought to develop a non-invasive diagnostic approach for diabetic retinopathy among type 2 diabetes mellitus based on 5-hydroxymethylcytosines (5hmC), an emerging epigenetic marker, in circulating cell-free DNA (cfDNA)

2021-11-20 | GSE140842 | 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

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

circRNA profiles of diabetic retinopathy

Project description:circRNA profiles of diabetic retinopathy

| PRJNA798675 | ENA

Putative tear fluid biomarkers of diabetic retinopathy

Project description:Identification of tear fluid biomarkers may offer a non-invasive strategy for detecting diabetic patients with increased risk of developing diabetic retinopathy (DR) or increased disease progression, thus helping both improving diagnostic accuracy and understanding the pathophysiology of the disease. The goal of this study was to characterize the proteomic profile of human tear fluid and examine changes in proteins expression in different stages of diabetic retinopathy.

2022-05-31 | PXD033101 | Pride

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