Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multi Omics analysis of fibrotic kidneys in two mouse models (Folic acid (FA) model MS data set)

ABSTRACT: Kidney fibrosis represents an urgent unmet clinical need due to the lack of effective therapies and inadequate understanding of the molecular pathogenesis. We have generated a comprehensive and integrated multi-omics data set (proteomics, mRNA and small RNA transcriptomics) of fibrotic kidneys that is searchable through a user-friendly web application. Two commonly used mouse models were utilized: a reversible chemical-induced injury model (folic acid (FA) induced nephropathy) and an irreversible surgically-induced fibrosis model (unilateral ureteral obstruction (UUO)). mRNA and small RNA sequencing as well as 10-plex tandem mass tag (TMT) proteomics were performed with kidney samples from different time points over the course of fibrosis development. The bioinformatics workflow used to process, technically validate, and integrate the single data sets will be described. In summary, we present temporal and integrated multi-omics data from fibrotic mouse kidneys that are accessible through an interrogation tool to provide a searchable transcriptome and proteome for kidney fibrosis researchers.

ORGANISM(S): Mus musculus

PROVIDER: GSE126181 | GEO | 2019/05/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Kidney proteomics in the folic acid (FA) induced nephropathy mouse model

Project description:Treatments for kidney fibrosis represent an urgent yet unmet clinical need. Effective therapies are limited due to not well understood molecular pathogenesis. We aimed at generating a comprehensive and integrated multi-omics data set (RNA/ microRNA transcriptomics and proteomics) of fibrotic kidneys which will be searchable through a user-friendly web application. Therefore, two commonly used mouse models were utilized: a reversible chemical-induced injury model (folic acid (FA) induced nephropathy) and an irreversible surgical-induced fibrosis model (unilateral ureteral obstruction (UUO)). RNA and small RNA sequencing as well as MS/MS with 10-plex tandem mass tags proteomics were performed with kidney samples from different time points over the course of fibrosis development. In summary, we present temporal and integrated multi-omics data from fibrotic mouse kidneys which are accessible through an interrogation tool to provide a searchable transcriptome and proteome for kidney fibrosis researcher.

2019-05-09 | PXD011453 | Pride

Multi Omics analysis of fibrotic kidneys in two mouse models (Unilateral ureter obstruction (UUO) model MS data set)

Project description:Kidney fibrosis represents an urgent unmet clinical need due to the lack of effective therapies and inadequate understanding of the molecular pathogenesis. We have generated a comprehensive and integrated multi-omics data set (proteomics, mRNA and small RNA transcriptomics) of fibrotic kidneys that is searchable through a user-friendly web application. Two commonly used mouse models were utilized: a reversible chemical-induced injury model (folic acid (FA) induced nephropathy) and an irreversible surgically-induced fibrosis model (unilateral ureteral obstruction (UUO)). mRNA and small RNA sequencing as well as 10-plex tandem mass tag (TMT) proteomics were performed with kidney samples from different time points over the course of fibrosis development. The bioinformatics workflow used to process, technically validate, and integrate the single data sets will be described. In summary, we present temporal and integrated multi-omics data from fibrotic mouse kidneys that are accessible through an interrogation tool to provide a searchable transcriptome and proteome for kidney fibrosis researchers.

2019-05-07 | GSE126182 | GEO

Multi Omics analysis of fibrotic kidneys in two mouse models [miRNA-Seq]

2019-05-07 | GSE118340 | GEO

Multi Omics analysis of fibrotic kidneys in two mouse models [RNA-Seq]

2019-05-07 | GSE118339 | GEO

Kidney proteomics in the unilateral ureter obstruction (UUO) mouse model

2019-05-09 | PXD010861 | Pride

Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression

Project description:Kidney fibrosis, characterized by excessive extracellular matrix (ECM) deposition, is a progressive disease that, despite affecting 10% of the population, lacks specific treatments and suitable biomarkers. Aimed at unraveling disease mechanisms and identifying potential therapeutic targets, this study presents a comprehensive, time-resolved multi-omics analysis of kidney fibrosis using an in vitro model system based on human kidney PDGFRβ+ mesenchymal cells. Using computational network modeling we integrated transcriptomics, proteomics, phosphoproteomics, and secretomics with imaging of the extracellular matrix (ECM). We quantified over 14,000 biomolecules across seven time points following TGF-β stimulation, revealing distinct temporal patterns in the expression and activity of known and potential novel renal fibrosis markers and modulators. The resulting time-resolved multi-omic network models allowed us to propose mechanisms related to fibrosis progression through early transcriptional reprogramming. Using siRNA knockdowns and phenotypic assays, we validated predictions and elucidated regulatory mechanisms underlying kidney fibrosis. Notably, we demonstrate that several early-activated transcription factors, including FLI1 and E2F1, act as negative regulators of collagen deposition and propose underlying molecular mechanisms. This work advances our understanding of the pathogenesis of kidney fibrosis and provides a valuable resource for the organ fibrosis research community.

2024-11-07 | E-MTAB-14521 | biostudies-arrayexpress

PFKFB3-mediated glycolysis boosts fibroblast activation and subsequent kidney fibrosis

Project description:<p>Renal fibrosis, a hallmark of chronic kidney diseases, is driven by the activation of renal fibroblasts. Recent studies have highlighted the role of glycolysis in this process. Nevertheless, one critical glycolytic activator, 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3), remains unexplored in renal fibrosis. Upon reanalyzing the single-cell sequencing data from Dr. Humphreys' lab, we noticed an upregulation of glycolysis, gluconeogenesis, and TGFβ signaling pathway in myofibroblasts from fibrotic kidneys after unilateral ureter obstruction (UUO) or kidney ischemia/reperfusion. Furthermore, our experiments showed significant induction of PFKFB3 in mouse kidneys following UUO or kidney ischemia/reperfusion. To delve deeper into the role of PFKFB3, we generated mice with Pfkfb3 deficiency specifically in myofibroblasts (Pfkfb3f/fPostnMCM). Following UUO or kidney ischemia/reperfusion, a substantial decrease of fibrosis in injured kidneys of Pfkfb3f/fPostnMCM mice was identified compared to their wild-type littermates. Additionally, in cultured renal fibroblast NRK-49F cells, PFKFB3 was elevated upon exposure to TGFβ1, accompanied by the increase of α-SMA and fibronectin. Notably, this upregulation was significantly diminished with PFKFB3 knockdown, correlated with a glycolysis suppression. Mechanistically, the glycolytic metabolite lactate promoted the fibrotic activation of NRK-49F. In conclusion, our study demonstrates the critical role of PFKFB3 in driving fibroblast activation and subsequent renal fibrosis.</p>

2024-03-12 | MTBLS8281 | MetaboLights

Multi-omics and imaging mass cytometry characterization of human kidneys to identify pathways and phenotypes associated with kidney damage

Project description:Despite the recent advances in our understanding of the role of lipids, metabolites and related enzymes in mediating kidney injury, there is limited integrated multi-omics data identifying potential metabolic pathways driving human kidney damage (KD). The limited availability of kidney biopsies from living donors with kidney disease has remained a major constraint. Here, we validated the use of deceased transplant donor kidneys as a good model to study kidney disease in humans and characterized these kidneys using imaging and multi-omics approaches. We demonstrated that changes in kidney injury and inflammatory markers following KD were consistent with the changes in pre-donation renal function in donors. Neighborhood and correlation analyses of imaging mass cytometry data showed that a subset of renal cells (e.g., fibroblasts) are associated with the expression profile of renal immune cells, potentially linking these cells to kidney inflammation. Integrated transcriptomic and metabolomic analysis of human kidneys showed that renal arachidonic acid metabolism and seven other metabolic pathways were upregulated following KD. To validate the therapeutic potential of targeting the arachidonic acid pathway, we demonstrated increased levels of cytosolic phospholipase A2 (cPLA2) protein and related lipid mediators (e.g., prostaglandin E2) in the injured kidneys. The inhibition of cPLA2 reduced injury and inflammation in human renal proximal tubular epithelial cells (RPTEC) in vitro. This study identifies cell types and metabolic pathways that may be critical for controlling inflammation associated with KD in humans.

2022-11-10 | GSE217427 | GEO

miRNA expression profiling of hTERT-immortalized renal proximal tubule epithelial (RPTEC/TERT1) cell treated with mesenchymal stem cell-conditioned miedium (BMSC-CM) on polyacrylamide (PAA) gel platform

Project description:Chronic kidney disease (CKD) is a progressive condition characterized by sustained alterations in kidney structure and function. Long-term kidney fibrosis is marked by glomerulosclerosis, vascular sclerosis, and tubulointerstitial fibrosis. Therefore we investigated the therapeutic potential of BMSC-CM on RPTEC/TERT1 in a fibrotic environment. Using PAA gel platforms, we mimicked the stiffness typical of chronic kidney disease patients' kidneys.

2023-12-20 | GSE250271 | GEO

Multi Omics analysis of fibrotic kidneys in two mouse models

Project description:Multi Omics analysis of fibrotic kidneys in two mouse models

| PRJNA485265 | ENA