Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Urinary Microbiome From Patients With Kidney Stones

ABSTRACT: Urinary Microbiome From Patients With Kidney Stones Raw Sequence Reads

PROVIDER: PRJNA516685 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Identifying urinary RNA from prospective urine as non-invasive biomarkers for kidney transplant patients

Project description:To identify urinary RNA from prospective urine as non-invasive biomarkers for kidney transplant patients

2019-03-16 | GSE128347 | GEO

Identifying urinary RNA from biopsy associated urine as non-invasive biomarkers for kidney transplant patients

Project description:To identify urinary RNA from biopsy associated urine as non-invasive biomarkers for kidney transplant patients

2019-03-16 | GSE128348 | GEO

MiR-148b-5p promotes hypercalciuric kidney stone formation via regulating circRNA-83536/miR-24-3p/Calcitonin Receptor signaling [exosome-miR-seq]

Project description:To investigate the potential role of miRNA-148b-5p in the pathogenesis of kidney stones, we conducted urinary exosomal sequencing.

2023-08-25 | GSE241241 | GEO

Proteomic analysis of urinary exosomes in cystinuria patients

Project description:Cystinuria is a rare renal genetic disease caused by mutations in cystine transporter genes and characterized by defective cystine reabsorption leading to kidney stones. In 14% of cases patients undergo nephrectomy, but given the difficulty to predict the evolution of the disease, the identification of markers of kidney damage would improve the follow up of patients with a higher risk. The aim of the present study is to develop a robust, reproducible and non-invasive methodology for proteomic analysis of urinary exosomes using high resolution mass spectrometry. A clinical pilot study, conducted on 8 cystinuria patients vs. 10 controls, highlighted 165 proteins, of which 38 were up-regulated, that separate cystinuria patients from controls, and further discriminate between severe and moderate forms of the disease. These proteins include markers of kidney injury, circulating proteins and a neutrophil signature. Analysis of selected proteins by immunobloting, performed on six additional cystinuria patients, validated the mass spectrometry data. To our knowledge, this is the first successful proteomic study in cystinuria unmasking potential role of inflammation in this disease. The workflow we have developed is applicable to investigate urinanry exosomes in different renal diseases and to search for diagnostic/prognostic markers.

2014-11-17 | PXD001430 | Pride

urinary microbiome

Project description:The urinary microbiome associated with bladder cancer

| PRJEB22327 | ENA

Proteomic analysis of urinary exosomes in cystinuria patients

2016-03-01 | MSV000079546 | MassIVE

Identification of urinary exosomal non-coding RNAs as novel biomarkers in chronic kidney disease

Project description:We aimed to identify urinary exosomal ncRNAs as novel biomarkers for diagnosis of Chronic Kidney Disease (CKD) for this, we examined 15 exosomal ncRNA profiles in urine samples from CKD patients from four different stages (I, II, III and IV) and compared them to 10 healthy controls. We identified a significant number of novel, differentially expressed ncRNAs in CKD patients compared to healthy, which might be employed as early diagnostic markers in CKD in the future.

2016-11-30 | E-MTAB-5152 | biostudies-arrayexpress

Identifying urinary RNA as non-invasive biomarkers for progression of chronic kidney disease

Project description:To identify urinary RNA as non-invasive biomarkers for progression of chronic kidney disease

2018-10-31 | GSE121978 | GEO

Urinary exosomal miRNA signatures in type II diabetic nephropathy patients

Project description:Urinary exosomal miRNA profiling was conducted in urinary exosomes obtained from 8 healthy controls (C), 8 patients with type II diabetes (T2D) and 8 patients with type II diabetic nephropathy (DN) using AgilentÂ´s miRNA microarrays.

2016-11-03 | E-MTAB-4166 | biostudies-arrayexpress

miRNA profiling of urinary exosomes to assess the progression of acute kidney injury

Project description:Using renal ischemia-reperfusion injury as a model of acute kidney injury, we deteremined temporally-released miRNAs released in urinary exosomes during the injury

2019-01-05 | GSE124669 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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