RNAseq analysis to identify differential expressed genes in glomerular cDNA of diabetic DBA/2 mice with Esm1 over-expression
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ABSTRACT:
PROVIDER: PRJNA732414 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14634047_1.fastq.gz | Fastqsanger.gz | |||
| SRR14634047_2.fastq.gz | Fastqsanger.gz | |||
| SRR14634048_1.fastq.gz | Fastqsanger.gz | |||
| SRR14634048_2.fastq.gz | Fastqsanger.gz | |||
| SRR14634049_1.fastq.gz | Fastqsanger.gz |
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Project description:We aim to study the gene expression changes in glomeruli of DBA/2 mice with diabetic nephropathy with or without Esm-1 over-expression. We extract pure mice glomeruli, prepared total cDNA with random hexamers and performed RNAseq study to quantify transcriptome and identify differential expressed genes. With a sequencing depth of 20M, we detected 12934 genes in total. We found many interferon related genes shows differences between control and DM group, suggesting DBA/2 mice with diabetic nephropathy are driven by interferon related mechanisms. We found 41 genes show biologically meaningful differences between DM and Esm-1 + DM group, suggesting these genes are downstream targets of Esm-1 in mice.
2022-09-30 | GSE175449 | GEO
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: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.
2016-07-22 | GSE84663 | 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: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:scRNA-seq analysis confirmed that increased LRG1 is limited to GECs in early diabetic kidneys. As anticipated, LRG1 loss significantly attenuated diabetic glomerulopathy including podocyte loss, and improved renal function. scRNA-seq analysis demonstrated that LRG1 loss was sufficient to reverse all significant molecular pathway changes in diabetic mouse GECs, which were also associated with the dampening of TGF-β-induced gene expression. Moreover, LRG1 loss also led to a significant attenuation of TGF-β-mediated gene expression in podocytes and mesangial cells of diabetic mice. These results indicate that increased LRG1 directly potentiates TGF-β signaling in glomerular cells in an autocrine and paracrine manner to promote DKD, and indirectly via glomerular cross-talk.
2024-12-26 | GSE269534 | GEO
Project description:summary : Glomerular Transcriptome from European Renal cDNA Bank subjects and living donors. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47183 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).
2018-01-24 | GSE104948 | 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:Diabetic Neuropathy (DN) is a common complication of diabetes. Currently, there is no drug treatment to prevent or slow the development of DN. Rosiglitazone (Rosi) is a potent insulin sensitizer and may also slow the development of DN by a mechanism independent of its effect on hyperglycemia. A two by two design was used to test the effect of Rosi treatment on the development of DN. Streptozotocin-induced diabetic DBA/2J mice were treated with Rosi. DN and oxidative stress were quantified, and gene expression was profiled using the Affymetrix Mouse Genome 430 2.0 microarray platform. An informatics approach identified key regulatory elements activated by Rosi. Diabetic DBA/2J mice developed severe hyperglycemia, DN and elevated oxidative stress. Rosi treatment did not affect hyperglycemia but did reduce oxidative stress and prevented development of thermal hypoalgesia. Two novel transcription factor binding modules were identified that may control genes correlated to changes in DN following Rosi treatment: SP1F_ZBPF and EGRF_EGRF. Rosi treatment reduced oxidative stress and DN independent of its insulin sensitizing effects. Gene expression profiling identified two novel targets activated by Rosi treatment. These targets may be useful in designing drugs with the same efficacy as Rosi in treating DN but with fewer undesirable effects. Keywords: disease and treatment analysis
2008-05-10 | GSE11343 | GEO