Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA154759 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE30528: Transcriptome Analysis of Human Diabetic Kidney Disease (DKD Glomeruli vs. Control Glomeruli) GSE30529: Transcriptome Analysis of Human Diabetic Kidney Disease (DKD Tubuli vs. Control Tubuli) GSE30566: Transcriptome Analysis of Human Diabetic Kidney Disease (Control Glomeruli vs. Control Tubuli) Refer to individual Series
2011-08-02 | E-GEOD-30122 | biostudies-arrayexpress
Project description:Transcriptome Analysis of Human Diabetic Kidney Disease (DKD Glomeruli vs. Control Glomeruli)
| PRJNA154757 | ENA
Project description:Analysis of gene expression changes in differentiated human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C). The hypothesis is that the three groups can be distinghed by their differential gene expression pattern. The results obtained revealed important information regarding differences in gene expression in human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C). Human podocytes were contacted with the serum from patients with diabetes and kidney disease (DKD+) or without kidney disease (DKD-) and compared to normal human podocytes contacted with serum from patients without diabetes (C).
2013-07-11 | E-GEOD-46897 | biostudies-arrayexpress
Project description:Analysis of gene expression changes in differentiated human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C). The hypothesis is that the three groups can be distinghed by their differential gene expression pattern. The results obtained revealed important information regarding differences in gene expression in human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C). Human podocytes were contacted with the serum from patients with diabetes and kidney disease (DKD+) or without kidney disease (DKD-) and compared to normal human podocytes contacted with serum from patients without diabetes (C).
2013-07-13 | E-GEOD-46899 | biostudies-arrayexpress
Project description:Transcriptome Analysis of Human Diabetic Kidney Disease (Control Glomeruli vs. Control Tubuli)
| PRJNA154765 | ENA
Project description:Analysis of gene expression changes in differentiated human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C). The hypothesis is that the three groups can be distinghed by their differential gene expression pattern. The results obtained revealed important information regarding differences in gene expression in human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C).
2013-07-13 | GSE46899 | GEO
Project description:Analysis of gene expression changes in differentiated human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C). The hypothesis is that the three groups can be distinghed by their differential gene expression pattern. The results obtained revealed important information regarding differences in gene expression in human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C).
2013-07-11 | GSE46897 | GEO
Project description:Diabetic kidney disease (DKD), a progressive kidney disease, is a major complication associated with diabetes and has become the leading cause of chronic kidney disease in China. Increasing evidences have demonstrated that lncRNAs play vital roles in kidney diseases, including DKD. To search for new ncRNAs involved in DKD, we performed gene expression profiling in the kidney tissues isolated from DKD patients and non-diabetic renal cancer patients undergoing surgical resection by RNA sequencing. And we identified 65 DEncRNAs (29 upregulated and 36 downregulated in DKD) and 171 DEmRNAs (72 upregulated and 99 downregulated in DKD).This study will provide insights into the prevent and treatment of DKD in the future.
2023-02-22 | GSE199838 | GEO
Project description:The pathogenesis of diabetic kidney disease (DKD) involves multifactorial processes that converge to initiate and advance the disease. Although DKD is not typically classified as an inflammatory glomerular disease, mounting evidence supports the involvement of renal inflammation as a key contributor in DKD pathogenesis, particularly through macrophages. However, detailed identification and corresponding phenotypic changes in macrophages in DKD remain poorly understood. To capture the gene expression changes in specific macrophage cell subsets in early DKD, we performed a single-cell transcriptomic analysis of CD45-enriched kidney immune cells from type 1 diabetic OVE26 mice at two time points during the disease development and undertook a focused analysis of mononuclear phagocytes (i.e., macrophages and dendritic cells). Our results now show increased resident and infiltrating macrophage subsets in the diabetic kidneys over time, with heightened expression of pro-inflammatory or anti-inflammatory genes in a subset-specific manner. Further analysis of macrophage polarization states in each subset showed changes consistent with the continuum of activation and differentiation states, and their gene expression tended to shift toward undifferentiated phenotypes but with increased M1-like inflammatory phenotypes over time and in the diabetic kidneys. By deconvolution analysis of RNAseq samples of human DKD biopsies and immunostaining, we further confirmed a differential expression of select genes in specific macrophage subsets. Thus, the current study provides a comprehensive analysis of macrophage transcriptomic profiles in early DKD that underscores the dynamic macrophage phenotypes in disease progression.
2022-11-08 | GSE195799 | GEO
Project description:We identified 1,700 differentially expressed probesets in DKD glomeruli and 1,831 in diabetic tubuli; 330 probesets were commonly differentially expressed in both compartments. The canonical complement signaling pathway was determined to be statistically differentially regulated in both DKD glomeruli and tubuli and was associated with increased glomerulosclerosis even in an additional set of DKD samples. Affymetrix expression arrays were used to identify differentially regulated transcripts in 44 microdissected human kidney samples. Stringent statistical analysis using the Benjamini_Hochberg corrected 2-tailed t-test was used to identify differentially expressed transcripts in control and diseased glomeruli and tubuli. This Series includes DKD and control glomeruli samples.
2011-08-02 | E-GEOD-30528 | biostudies-arrayexpress