Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Shared molecular targets in the glomerular transcriptome from patients with nephrotic syndrome and ANCA-associated vasculitis

ABSTRACT: Glomerular transcriptome from human kidney biopsies in Neptune and ERCB. A subset of samples profiled in this analysis were also profiled in Series GSE68127, and in GSE104066. Corresponding tubulointerstitial transcriptome data is submitted under GEO ID: GSE108113. RNA from the glomerular compartment was extracted and processed for hybridization on Affymetrix ST 2.1 microarrays, annotated using Human Entrez Gene ID custom CDF version 19. This dataset is part of the TransQST collection.

ORGANISM(S): Homo sapiens

SUBMITTER: Sean Eddy

PROVIDER: E-GEOD-108109 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Metabolic pathways and immunometabolism in rare kidney diseases.

Grayson Peter C PC Eddy Sean S Taroni Jaclyn N JN Lightfoot Yaíma L YL Mariani Laura L Parikh Hemang H Lindenmeyer Maja T MT Ju Wenjun W Greene Casey S CS Godfrey Brad B Cohen Clemens D CD Krischer Jeffrey J Kretzler Matthias M Merkel Peter A PA

Annals of the rheumatic diseases 20180503 8

<h4>Objectives</h4>To characterise renal tissue metabolic pathway gene expression in different forms of glomerulonephritis.<h4>Methods</h4>Patients with nephrotic syndrome (NS), antineutrophil cytoplasmic antibody-associated vasculitis (AAV), systemic lupus erythematosus (SLE) and healthy living donors (LD) were studied. Clinically indicated renal biopsies were obtained at time of diagnosis and microdissected into glomerular and tubulointerstitial compartments. Microarray-derived differential ge ...[more]

PMID: 29724730

Similar Datasets

Project description:Glomerular diseases account for the majority of cases with chronic renal failure. Several genes have been identified with key relevance for glomerular function. Quite a few of these genes show a specific or preferential mRNA expression in the renal glomerulus. To identify additional candidate genes involved in glomerular function in humans we generated a human renal glomerulus-specific transcript dataset (GTD) by comparing gene expression profiles from human glomeruli and tubulointerstitium obtained from six transplant living donors using Affymetrix HG-U133A arrays. This analysis resulted in 677 genes with prominent overrepresentation in the glomerulus. Genes with ‘a prior’i established known prominent glomerular expression served for validation and were all found in the novel expression library (e.g. CDKN1, DAG1, DDN, EHD3, MYH9, NES, NPHS1, NPHS2, PDPN, PLA2R1, PLCE1, PODXL, PTPRO, SYNPO, TCF21, TJP1, WT1). The mRNA expression for several novel glomerulus-enriched genes identified in REGGEL was validated by qRT-PCR. Gene ontology and pathway analysis identified biological processes previously not reported to be of relevance in glomeruli including among others axon guidance. This finding was further validated by assessing the expression of the axon guidance molecules neuritin (NRN1) and roundabout receptor ROBO1 and -2. Glomerular disease associated differential mRNA regulation of ROBO2 was found in diabetic nephropathy. In summary, using a comparative strategy on microdissected nephrons novel transcripts with predominant expression in the human glomerulus could be identified. A systematic analysis of this glomerulus-specifc gene expression library allows the detection of target molecules and biological processes involved in glomerular biology and renal disease. Sample from kidney biopsies of 6 transplant Living Donors (LD) were microdissected into tubular and glomerular compartment and separately hybridized an Affymetrix HG-U133A microarrays. Background correction and quantile normalization was ferformed using RMAexpress Version 0.3 as part of a dataset of 88 samples for glomeruli and 84 samples for tubuli. All data are reported in log2 scale. A background filter cut-off was defined to lower the count of false positive calls using the highest signal value obtained from non-human Affymetrix control oligonucleotides multiplied by a factor of 1.2, following previous studies: Schmid H, Boucherot A, Yasuda Y, et al.: Modular activation of nuclear factor-kappaB transcriptional programs in human diabetic nephropathy. Diabetes 55:2993-3003, 2006 A linear model was fit to compensate differences in expression due to separate sample processing of the compartments. Subsequently, genes were selected based on foldchange.

Dataset Information

Shared molecular targets in the glomerular transcriptome from patients with nephrotic syndrome and ANCA-associated vasculitis

Publications

Metabolic pathways and immunometabolism in rare kidney diseases.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure