Gene expression profiles of glomerular endothelial cells support their role in the glomerulopathy of diabetic mice
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ABSTRACT:
PROVIDER: PRJNA507767 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
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| SRR8267650.fastq.gz | Fastqsanger.gz | |||
| SRR8267651.fastq.gz | Fastqsanger.gz | |||
| SRR8267652.fastq.gz | Fastqsanger.gz | |||
| SRR8267653.fastq.gz | Fastqsanger.gz | |||
| SRR8267654.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Gene expression profiles of glomerular endothelial cells support their role in the glomerulopathy of diabetic mice
| PRJNA507767 | ENA
Project description:Endothelial dysfunction promotes the pathogenesis of diabetic nephropathy (DN), which is considered to be an early event in disease progression. However, the molecular changes associated with glomerular endothelial cell (GEC) injury in early DN are not well defined. Most gene expression studies have relied on the indirect assessment of GEC injury from isolated glomeruli or renal cortices. Here, we present transcriptomic analysis of isolated GECs, using streptozotocin-induced diabetic wildtype (STZ-WT) and diabetic eNOS-null (STZ-eNOS−/−) mice as models of mild and advanced DN, respectively. GECs of both models in comparison to their respective nondiabetic controls showed significant alterations in the regulation of apoptosis, oxidative stress, and proliferation. The extent of these changes was greater in STZ-eNOS−/− than in STZ-WT GECs. Additionally, genes in STZ-eNOS−/− GECs indicated further dysregulation in angiogenesis and epigenetic regulation. Moreover, a biphasic change in the number of GECs, characterized by an initial increase and subsequent decrease over time, was observed only in STZ-eNOS−/− mice. This is consistent with an early compensatory angiogenic process followed by increased apoptosis, leading to an overall decrease in GEC survival in DN progression. From the genes altered in angiogenesis in STZ-eNOS−/− GECs, we identified potential candidate genes, Lrg1 and Gpr56, whose function may augment diabetes-induced angiogenesis. Thus, our results support a role for GEC in DN by providing direct evidence for alterations of GEC gene expression and molecular pathways. Candidate genes of specific pathways, such as Lrg1 and Gpr56, can be further explored for potential therapeutic targeting to mitigate the initiation and progression of DN.
2018-12-01 | GSE123177 | GEO
Project description:The objective of this study is to create an encyclopedia of all genes expressed in the glomerular endothelial cell under normal and diabetic conditions. We utilized Tie2-GFP transgenic mice to mark cells of the glomerular endothelium. To induce diabetic nephropathy (DB), a genetic model of DB, BKS.Cg-m +/+ Leprdb/J from Jax laboratories was used. We utilized fluorescent activated cell sorting (FACS) to isolate glomerular endothelial cells from normal and diabetic mice. The RNAs from these samples were isolated and utilized to hybridize to microarrays, which offers a powerful, efficient and effective method for the creation of a gene expression atlas. Microarrays were used to identify the transciptional differences that occur in the glomular endothelium of a diabetic mouse. Diabetic and control mice carrying the Tie2-GFP transgenic were utilized to isolate the endothelial cells from the adult glomerulus. The endothelial cells were isolated from the glomerulus using FACS. RNA was isolated and the gene expression profiles were determined by microarrays.
2010-08-16 | E-GEOD-21324 | biostudies-arrayexpress
Project description:Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease. Neutrophil extracellular traps (NETs) are a network structure composed of loose chromatin and embedded with multiple proteins. Here, we observed increased NETs deposition in the glomeruli of DKD patients and diabetic mice (streptozotocin-induced or db/db mice). After degrading NETs with DNase I, diabetic mice exhibited attenuated glomerulopathy and glomerular endothelial cell (GEC) injury. We also observed alleviated glomerulopathy and GEC injury in peptidylarginine deiminase 4 (PAD4)-knockout mice with streptozotocin-induced diabetes. In vitro, NET-induced GEC pyroptosis was characterized by pore formation in the cell membrane, dysregulation of multiple genes involved in cell membrane function, and high expression of pyroptosis-related proteins. Strengthening the GEC surface charge by oleylamine significantly inhibited NET-induced GEC pyroptosis. These results indicate that NET-induced alterations in GEC charge are associated with GEC pyroptosis in the pathogenesis of DKD and suggest that NETs are a potential therapeutic target for DKD.
2022-09-01 | GSE189875 | GEO
Project description:The objective of this study is to create an encyclopedia of all genes expressed in the glomerular endothelial cell under normal and diabetic conditions. We utilized Tie2-GFP transgenic mice to mark cells of the glomerular endothelium. To induce diabetic nephropathy (DB), a genetic model of DB, BKS.Cg-m +/+ Leprdb/J from Jax laboratories was used. We utilized fluorescent activated cell sorting (FACS) to isolate glomerular endothelial cells from normal and diabetic mice. The RNAs from these samples were isolated and utilized to hybridize to microarrays, which offers a powerful, efficient and effective method for the creation of a gene expression atlas. Microarrays were used to identify the transciptional differences that occur in the glomular endothelium of a diabetic mouse.
2010-08-16 | GSE21324 | GEO
Project description:Background: Recent single-cell RNA sequencing (scRNA-seq) analyses have offered much insight into cell-specific gene expression profiles in normal kidneys. However, in diseased kidneys, understanding of changes in specific cells, particularly glomerular cells, remains limited. Methods: To elucidate the glomerular cell–specific gene expression changes in diabetic kidney disease, we performed scRNA-seq analysis of isolated glomerular cells from streptozotocin-induced diabetic endothelial nitric oxide synthase (eNOS)–deficient (eNOS-/-) mice and control eNOS-/- mice. Results: We identified five distinct cell populations, including glomerular endothelial cells, mesangial cells, podocytes, immune cells, and tubular cells. Using scRNA-seq analysis, we confirmed the expression of glomerular cell–specific markers and also identified several new potential markers of glomerular cells. The number of immune cells was significantly higher in diabetic glomeruli compared with control glomeruli, and further cluster analysis showed that these immune cells were predominantly macrophages. Analysis of differential gene expression in endothelial and mesangial cells of diabetic and control mice showed dynamic changes in the pattern of expressed genes, many of which are known to be involved in diabetic kidney disease. Moreover, gene expression analysis showed variable responses of individual cells to diabetic injury. Conclusion: Our findings demonstrate the ability of scRNA-seq analysis in isolated glomerular cells from diabetic and control mice to reveal dynamic changes in gene expression in diabetic kidneys, with variable responses of individual cells. Such changes, which might not be apparent in bulk transcriptomic analysis of glomerular cells, may help identify important pathophysiologic factors contributing to the progression of diabetic kidney disease.
2019-03-08 | GSE127235 | GEO
Project description:Murine models have been valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility . In order to define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2 mice, db/db C57BLKS, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared, human-mouse cross-species glomerular transcriptional networks containing 143 (Human-STZ), 97 (Human- db/db), and 162 (Human- eNOS-/- db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetic complications, such as elements of JAK-STAT and VEGFR signaling pathways . In addition, novel pathways not formally associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in the selection of mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. We used microarrays to analyze the transcriptome of three different diabetic mouse models Glomerular RNA was extracted using the RNeasy Mini Kit and processed for hybridization on Affymetrix GeneChip Mouse Genome 430 2.0 microarrays.
2012-12-10 | E-GEOD-33744 | biostudies-arrayexpress
Project description:To investigate dynamic changes in glomerular cells, including podocyte, mesangial cells and glomerular endothelial cells, in the development of diabetic nephropathy We then performed gene expression profiling analysis using data obtained from RNA-seq of glomerular cells of control(m/m), diabetic (db-/- 6-week-old) and diabetic nephropathy (db-/- 10-week-old with albuminuria) mice
2023-10-27 | GSE219268 | GEO
Project description:SAGE libraries were prepared from mRNA of cultured bovine glomerular and aortic endothelial cells. Cells both cell lines were positive for acetylated LDL uptake and vWF expression, and were proven to be free of non-endothelial cells. Cultures were studied at passage 9-10. The cells were confluent, cultured in parallel, under identical conditions. Cells were plated on gelatin coated cell culture plastic in RPMI 1640 medium containing 10% FBS and streptomycin/penicillin. The last medium change was 48 hours prior to mRNA harvest. Keywords = endothelial, glomerular, kidney, aorta, Keywords: other
2002-12-09 | E-GEOD-110 | biostudies-arrayexpress
Project description:Murine models have been valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility . In order to define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2 mice, db/db C57BLKS, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared, human-mouse cross-species glomerular transcriptional networks containing 143 (Human-STZ), 97 (Human- db/db), and 162 (Human- eNOS-/- db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetic complications, such as elements of JAK-STAT and VEGFR signaling pathways . In addition, novel pathways not formally associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in the selection of mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. We used microarrays to analyze the transcriptome of three different diabetic mouse models
2012-12-10 | GSE33744 | GEO