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Gene expression profiles of the diabetic glomerular endothelial cell

ABSTRACT: 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.

ORGANISM(S): Mus musculus

PROVIDER: GSE21324 | GEO | 2010/08/16

SECONDARY ACCESSION(S): PRJNA126169

REPOSITORIES: GEO

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Gene expression profiles of the diabetic glomerular endothelial cell

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

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Transcriptome Alteration in the Diabetic Heart by Rosiglitazone: Implications for Cardiovascular Mortality

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Project description:The type 2 diabetes medication, rosiglitazone, has come under scrutiny for possibly increasing the risk of cardiac disease and death. To investigate the effects of rosiglitazone on the diabetic heart, we performed cardiac transcriptional profiling of a murine model of type 2 diabetes, the C57BL/KLS-leprdb/leprdb (db/db) mouse. We compared cardiac gene expression profiles from three groups: untreated db/db mice (db-c), db/db mice after rosiglitazone treatment (db-t), and non-diabetic db/+ mice. Mice were divided into three groups: Non-diabetic controls (db/+), untreated diabetic controls (db-c), and rosiglitazone-treated diabetic mice (db-t). Whole-heart RNA from five mice from each of the three groups after four months with or without treatment was used for microarray analysis.Universal Reference RNAs for mouse (Stratagene, La Jolla, CA) were purchased as microarray reference controls.

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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.

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Cross-species transcriptional networks in Diabetic Glomerulopathy in mouse and man

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Tissue-specific metabolic reprogramming drives nutrient flux in diabetic complications

Project description:Diabetes is associated with altered metabolism, but how altered metabolism contributes to the development of complications such as diabetic kidney disease is unknown. We used a systems approach with transcriptomics and mass spectrometry (MS)-based metabolomics to determine alterations in carbohydrate and lipid metabolism in kidney cortex tissue from 24-week-old BKS db/db diabetic mice and db/+ controls. Glomerular-deprived kidney cortex (kidney proximal tubule) gene expression was profiled and compared with metabolite data. Transcriptomic and metabolomic profiling demonstrated an increase in both glycolysis and fatty acid beta-oxidation,

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Single-cell profiling of glomerular cells provides a dynamic picture in experimental diabetic kidney disease

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

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