Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Detection of N‑glycoprotein associated with IgA nephropathy in urine as a potential diagnostic biomarker using glycosylated proteomic analysis

ABSTRACT: The present study aimed to clarify the potential diagnosis value of the urinary N-glycoproteins using mass spectrometry (MS) analysis in patients with IgA nephropathy (IgAN).

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

SUBMITTER: Junjie Liu

LAB HEAD: 1 The

PROVIDER: PXD041151 | Pride | 2023-08-13

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	Match_result-X101SC22040796_Z01_J001_B1_43.zip	Other
	Raw_file-X101SC22040796_Z01_J001_B1_43.zip	Other
	checksum.txt	Txt

Items per page:

1 - 3 of 3

Similar Datasets

Expression data from human with IgA nephropathy (IgAN)

Project description:This SuperSeries is composed of the following subset Series: GSE35487: Expression data from human with IgA nephropathy (IgAN) [HG-U133A] GSE35488: Expression data from human with IgA nephropathy (IgAN) [HG-U133A_ENTREZG_10] Refer to individual Series

2012-02-02 | E-GEOD-35489 | biostudies-arrayexpress

Targeted transcriptional analysis of IgA vasculitis, IgA nephropathy, and IgA dominant infection related glomerulonephritis

Project description:This study identifies immune transcript signatures that may predict IgAV nephritis in skin biopsies and distinguish IgA-IRGN from IgAN and IgAV in kidney biopsies

2023-08-08 | GSE220100 | GEO

Susceptibility loci for IgA nephropathy

Project description:Susceptibility loci for IgA nephropathy

| PRJNA80299 | ENA

Targeted transcriptional analysis of IgA vasculitis, IgA nephropathy, and IgA dominant infection related glomerulonephritis

Project description:Targeted transcriptional analysis of IgA vasculitis, IgA nephropathy, and IgA dominant infection related glomerulonephritis

| PRJNA908803 | ENA

Single-cell RNAseq analysis of kidney glomerular injury in IgA nephropathy

Project description:We applied scRNAseq analysis to investigate the mouse kidney glomerular injury in IgA nephropathy

2022-02-01 | GSE166793 | GEO

The role of microRNAs in the pathogenesis of IgA nephropathy

Project description:We report the expression of microRNAs in renal biopsies from patients with IgA nephropathy (progressive form and non progressive form), membranous and thin membrane nephropathies

2021-02-23 | GSE141344 | GEO

Micro RNA expression profiling using NanoString technology from IgA Nephropathy patients from Indian cohort.

Project description:The current study makes use of NanoString targeted technology to profile urinary exosomal miRNAs from IgA nephropathy affected patients and corresponding healthy controls. Circulatory biomarkers were detected for IgA nephropathy from Indian cohort which can be made used for the diagnostic therapy. 14 miRNAs were detected to be related to the disregulation in miRNome of IgA nephropathy patients using lasso feature selection method, out of which multiple miRNAs like hsa.mir.146b.3p, hsa.mir.599 and many more was resulted with high AUROC values >=0.9 efficient in differentiating between healthy controls and IgA nephropathy condition. These markers can be use further in the diagnosis and treatment of IgAN.

2023-12-13 | GSE244625 | GEO

Specific biomarkers Associated with Active and Chronic Renal Lesions in IgA Nephropathy. A Multicenter Study

Project description:Specific molecular biomarkers were detected in kidney biopsy of IgA nephropathy characterizing active (E and C) and chronic (T) renal lesions compared with other non-IgA glomerulonephritis and living donors

2020-09-13 | GSE116626 | GEO

Transcriptomic and proteomic profiling reveal insights of mesangial cell function in patients with IgA Nephropathy

Project description:IgA nephropathy (IgAN) is the most common glomerulonephritis in the world. The disease is characterized by galactose deficient IgA (gd-IgA) in the circulation forming immune complexes. The complexes are deposited in the glomerular mesangium leading to inflammation and loss of renal function, but the pathophysiology of the disease is still not fully understood. Using an integrated global transcriptomic and proteomic profiling approach we investigated the role of the mesangium in the onset and progression of IgAN. Global gene expression was investigated by microarray analysis of the glomerular compartment of renal biopsies from patients with IgAN. The influence of galactose deficient IgA (gd-IgA) on mesangial cells was investigated by proteomic profiling. By utilizing the previous published literature curated glomerular cell type-specific genes, we found that mesangial cells and their positive standard genes play a more dominant role in IgAN comparing to the podocyte standard genes. Additionally, the patient clinical parameters (serum creatinine values and estimated glomerular filtration rate - eGFR) significantly correlate with z-scores derived from expression profile of mesangial cell positive standard genes. 22 common pathways were identified both from in vivo microarray data and in vitro mesangial cell mass spectrometry data and the main part was inflammatory pathways. The correlation between clinical data and mesangial standard genes allows for a better understanding of the onset of IgAN. The genes, proteins and their corresponding pathways identified in this paper give us novel insights into the pathophysiological mechanisms leading to progression of IgAN. RNA from glomerular compartment was extracted and processed for hybridization on Affymetrix microarrays. This dataset is part of the TransQST collection.

2017-07-03 | E-GEOD-93798 | biostudies-arrayexpress

IgA Nephropathy GWAS (IGANGWAS)

Project description:<p>We report a genome-wide association study of IgA nephropathy, a main cause of kidney failure. All subjects were of Chinese Han ancestry, of which 1,194 were cases and 902 controls. Genomic DNA samples extracted from whole blood were genotyped on the Illumina 610 Quad platform.</p>

| phs000431.v1.p1 | EGA