Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA87679 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:diabetes, mouse models, diabetic nephropathy, streptozotocin db/db Keywords: other
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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.
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Project description:Diabetic nephropathy(DN) is a common diabetic microvascular complication, Irbesartan is the first-line drug for clinical treatment of diabetic nephropathy, but its pharmacological mechanism and target are not yet fully clear. We used microarrays to explore the global profile of gene expression for better understanding the action mechanism of irbesartan in alleviating renal injuries of diabetic db/db mice
2024-05-29 | GSE178939 | GEO
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: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: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.
2016-07-22 | E-GEOD-84663 | 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
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.
2023-10-27 | GSE206015 | GEO