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Novel targets in renal fibrosis based on bioinformatic analysis I

ABSTRACT: Novel targets in renal fibrosis based on bioinformatic analysis I

PROVIDER: PRJNA899890 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR22247534.fastq.gz	Fastqsanger.gz
	SRR22247535.fastq.gz	Fastqsanger.gz
	SRR22247536.fastq.gz	Fastqsanger.gz
	SRR22247537.fastq.gz	Fastqsanger.gz
	SRR22247538.fastq.gz	Fastqsanger.gz

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Novel targets in renal fibrosis based on bioinformatic analysis II

Project description:Novel targets in renal fibrosis based on bioinformatic analysis II

| PRJNA899899 | ENA

Novel targets in renal fibrosis based on bioinformatic analysis II

Project description:Renal fibrosis is a widely used pathological indicator of progressive chronic kidney disease (CKD), and renal fibrosis mediates most progressive renal diseases as a final pathway. Nevertheless, the key genes related to the host response are still unclear. In this study, the potential gene network, signaling pathways, and key genes under UUO model in mouse kidneys were investigated by integrating two transcriptional data profiles.

2023-01-06 | GSE217654 | GEO

Novel targets in renal fibrosis based on bioinformatic analysis I

2023-01-06 | GSE217650 | GEO

Novel targets in renal fibrosis based on bioinformatic analysis.

Project description:Background: Renal fibrosis is a widely used pathological indicator of progressive chronic kidney disease (CKD), and renal fibrosis mediates most progressive renal diseases as a final pathway. Nevertheless, the key genes related to the host response are still unclear. In this study, the potential gene network, signaling pathways, and key genes under unilateral ureteral obstruction (UUO) model in mouse kidneys were investigated by integrating two transcriptional data profiles. Methods: The mice were exposed to UUO surgery in two independent experiments. After 7 days, two datasets were sequenced from mice kidney tissues, respectively, and the transcriptome data were analyzed to identify the differentially expressed genes (DEGs). Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were executed. A Protein-Protein Interaction (PPI) network was constructed based on an online database STRING. Additionally, hub genes were identified and shown, and their expression levels were investigated in a public dataset and confirmed by quantitative real time-PCR (qRT-PCR) in vivo. Results: A total of 537 DEGs were shared by the two datasets. GO and the KEGG analysis showed that DEGs were typically enriched in seven pathways. Specifically, five hub genes (Bmp1, CD74, Fcer1g, Icam1, H2-Eb1) were identified by performing the 12 scoring methods in cytoHubba, and the receiver operating characteristic (ROC) curve indicated that the hub genes could be served as biomarkers. Conclusion: A gene network reflecting the transcriptome signature in CKD was established. The five hub genes identified in this study are potentially useful for the treatment and/or diagnosis CKD as biomarkers.

| S-EPMC9745177 | biostudies-literature

HNF3α targets Nckap1l and promotes renal fibrosis following ischemia-reperfusion injury

Project description:HNF3α targets Nckap1l and promotes renal fibrosis following ischemia-reperfusion injury

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HNF3α targets Nckap1l and promotes renal fibrosis following ischemia-reperfusion injury

Project description:Ischemia-reperfusion injury-induced acute kidney injury is a major cause of chronic kidney disease, lacking effective interventions. We found elevated HNF3α expression in CKD patients, which correlated with collagen deposition, serum creatinine, and urea levels. Conditional knockout of HNF3α in renal tubular epithelial cells protected against IRI-induced renal fibrosis in vivo. To explore the mechanisms by which HNF3α promotes renal fibrosis, we transfected TKPTS cells with Hnf3a overexpression plasmids or control plasmids, and then performed transcriptome sequencing.

2025-03-01 | GSE274962 | GEO

A novel role of Acyl-CoA Thioesterase 12 in the pathogenesis of renal fibrosis

Project description:Lipid mal-metabolism, particularly fatty acid oxidation (FAO) dysfunction, is a major driver of renal fibrosis. However, detailed regulatory mechanisms underlying this process remain unclear. In this study, we demonstrated that acyl-CoA thioesterase 12 (Acot12) is a key regulator of lipid metabolism in fibrotic kidneys. A significantly decreased level of ACOT12 was observed in a kidney sample of human patients with chronic kidney disease as well as in mouse kidney injury. Acot12 deficiency induces lipid accumulation and fibrosis in mice subjected to unilateral ureteral obstruction (UUO). Fenofibrate administration does not reduce renal fibrosis in Acot12-/- mice with UUO. Moreover, restoration of peroxisome proliferator-activated receptor (PPAR in Acot12-/- Ppar-/- kidneys with UUO exacerbated lipid accumulation and renal fibrosis, whereas restoration of Acot12 in Acot12-/- Ppar-/- kidneys with UUO significantly reduced lipid accumulation and renal fibrosis suggesting, mechanistically, Acot12 deficiency exacerbates renal fibrosis independently of PPAR. In Acot12-/- kidneys with UUO, a reduction in the selective autophagic degradation of peroxisomes and pexophagy with a decreased level of ACBD5 was observed. In conclusion, our study demonstrates the functional role and mechanistic details of Acot12 in the progression of renal fibrosis, provides a preclinical rationale for regulating Acot12 expression and presents a novel means of preventing renal fibrosis.

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HNF3α targets Nckap1l and promotes renal fibrosis following ischemia-reperfusion injury [CUT&TAG]

Project description:Ischemia-reperfusion injury-induced acute kidney injury is a major cause of chronic kidney disease, lacking effective interventions. We found elevated HNF3α (also known as FOXA1) expression in CKD patients, which correlated with collagen deposition, serum creatinine, and urea levels. Conditional knockout of HNF3α in renal tubular epithelial cells protected against IRI-induced renal fibrosis in vivo. To explore the mechanisms by which HNF3α promotes renal fibrosis, we analyse the genome-wide target sites of HNF3α using CUT&Tag sequencing.

2025-03-01 | GSE274963 | GEO

miR-132 mediates renal fibrosis

Project description:miR-132 mediates renal fibrosis

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Novel players in renal fibrosis uncovered by gene expression analyses of TGF-β1 treated renal tubular epithelial cells and diseased kidneys

Project description:Tubular epithelial cells (TECs) play a major role in potentiating renal fibrosis. While TGF-β1 is a key inducer of the pro-fibrotic phenotype in TECs, inhibition of TGF-β1 also blocks its protective effects, making this an unsuccessful strategy for treating renal fibrosis. Molecules induced by TGF-β1 to regulate TEC phenotype would serve as more specific and effective targets. To uncover such molecules, we performed high throughput analyses on TGF-β1 treated renal tubular epithelial cells (HKC). RNA sequencing identified 3565 genes and proteomics identified 74 proteins differentially regulated by TGF-β1 in HKC. We then selected 47 genes that were most upregulated in our in vitro datasets and that do not have well-characterized roles in renal fibrosis based on our review of the literature. We searched 8 publicly available datasets containing transcriptomic data from diseased human kidneys for gene expression patterns of the selected genes and found that MARCKS and DOCK2 were amongst the most consistently upregulated in the human datasets. In HKC, MARCKS knockdown decreased TGF-β1 mediated upregulation of pro-fibrotic markers, while DOCK2 knockdown had the opposite effect. Our data suggests novel roles for these proteins in renal TECs as potential promoters the pro-fibrotic phenotype.

2022-07-06 | GSE207291 | GEO

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