Project description:Diabetic nephropathy(DN) is a common diabetic microvascular complication, the underlying mechanisms involved in DN remain to be elucidated. We used microarrays to explore the global profile of gene expression for better understanding the molecular mechanism of diabetic nephropathy in type 2 diabetic db/db mice.
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
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.
Project description:Comparing glomerular gene expression level between mice with different susceptibilities to diabetic nephropathy, DBA/2 (susceptible) and C57BL/6 (resistant) mice, respectively. The hypothesis is that differential expression of glomerular genes regulate susceptibility to diabetic nephropathy. The results show immune related genes. Thus, glomerular inflammation may increase susceptibility to diabetic nephropathy in mice. RNA isolated from kidney glomeruli of DBA/2 and C57BL/6 mice, with or without 4 weeks diabetes induced by streptozotocin.
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
Project description:Diabetic nephropathy is a chronic complication of diabetes, presenting albuminuria at an early stage and leading to renal failure. Kidney is a complicated organ, which is responsible for body fluids control, acid-base balance, and removal of toxins. To better understand the progress of diabetic nephropathy, mice renal cortex of control mice, six-week db-/- (increased serum glucose without pathological changes in kidneys), and ten-week db-/- (with pathological changes in kidneys) were collected for single-cell sequencing analyses. A subgroup of glomerular endothelial cells with pro-angiogenetic features was identified in diabetic kidneys.
Project description:We investigated the gene expression profiles of RNA isolated from kidney glomeruli from aged, 25 week old type-2 diabetic (db/db) and non-diabetic mice. In order to investigate the consequences of hyperglycemia on the pathogenesis and progression of diabetic nephropathy Kidney glomeruli from 3 diabetic and 3 non-diabetic, control mice were isolated and RNA purified for RNA-Seq analysis on the Illumina HiSeq 2000. The goal of the project was to generate comprehensive list of noncoding RNA genes differentially regulated between the two conditions in order to identify novel targets for further study.
Project description:Diabetic nephropathy (DN) is characterized by metabolic disorder and inflammation. However, the regulatory effects that long noncoding RNAs (lncRNAs) have on the pathogenesis of DN and on the efficacy of rosiglitazone treatment has yet to be clearly defined. Herein, we performed unbiased RNA sequencing to characterize the transcriptomic profiles in db/db diabetic mouse model with or without rosiglitazone treatment that served to improve the phenotypes of DN. Differential expression analysis revealed that those genes that had their expression restored following treatment with rosiglitazone are likely involved in protection against DN. Our data elucidate the novel renoprotective molecular mechanism of PPARγ agonists and propose lncRNA targets for diabetic nephropathy treatment.