Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-93798
PROVIDER: PRJNA362368 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptomic and proteomic profiling reveal insights of mesangial cell function in patients with IgA Nephropathy
2020-10-21 | E-GEOD-93798 | ExpressionAtlas
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
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.
2017-07-03 | GSE93798 | GEO
Project description:We collected glomeruli from biopsy specimens from IgA nephropathy patients with relatively preserved kidney function (eGFR ≥ 60 mL/min/1.73 m2 and urine protein-to-creatinine ratio < 3 g/g) and from normal kidney cortices by hand microdissection and performed RNA-seq. The transcriptomic profiling of IgA nephropathy glomerulus provide insights for intraglomerular pathophysiology of IgAN before reaching profound kidney dysfunction.
2020-09-30 | GSE141295 | GEO
Project description:IgA nephropathy represents the most prevalent chronic nephrosis worldwide. However, pathogenesis about IgA deposition and end-stage renal failure is still not well defined. Using single-cell RNA-seq, we identified the mesangial membrane receptor for IgA, which collaborates with increased extracellular matrix proteins and protease inhibitor to facilitate IgA deposition. Meanwhile, cell-cell interaction analysis revealed increased communications between mesangium and other cell types, uncovering how morbidity inside glomerulus spreads to whole kidney, which results in the genetic changes of kidney resident immune cells. Prominent interaction decreasing in intercalated cells leads to the discovery of a transitional cell type, which exhibited significant EMT and fibrosis features. Our work comprehensively characterized the pathological mesangial signatures, highlighting the step-by-step pathogenic process of IgA nephropathy from mesangium to epithelium.
2021-07-06 | GSE127136 | GEO
Project description:Idiopathic nodular mesangial sclerosis, also called idiopathic nodular glomerulosclerosis (ING) is a rare clinical entity with unclear pathogenesis. The hallmark of this disease is the presence of nodular mesangial sclerosis on histology without clinical evidence of diabetes mellitus or other predisposing diagnoses. To achieve insights into its pathogenesis, we queried the clinical, histopathologic and transcriptomic features of ING and nodular diabetic nephropathy (DN)
2020-12-09 | GSE162830 | GEO
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
Project description:Expression data from human with IgA nephropathy (IgAN) and hypertensive nephropathy (HT) We used microarrays to analyze the transcriptome of microdissected renal biopsies from patients with IgAN and HT
2012-12-10 | GSE37460 | GEO
Project description:Expression data from human with IgA nephropathy (IgAN) and hypertensive nephropathy (HT) We used microarrays to analyze the transcriptome of microdissected renal biopsies from patients with IgAN and HT RNA from glomeruli and tubulointerstitial compartments was extracted and processed for hybridization on Affymetrix microarrays.
2012-12-10 | E-GEOD-37460 | biostudies-arrayexpress
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