U.S. flag

An official website of the United States government

Format
Items per page
Sort by

Send to:

Choose Destination

Links from GEO DataSets

Items: 20

1.

In silico nano-dissection: defining cell type specificity at transcriptional level in human disease

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL14663 GPL11670
229 Samples
Download data: CEL
Series
Accession:
GSE47185
ID:
200047185
2.

In silico nano-dissection: defining cell type specificity at transcriptional level in human disease (tubulointerstitium)

(Submitter supplied) To identify genes with cell-lineage-specific expression not accessible by experimental micro-dissection, we developed a genome-scale iterative method, in-silico nano-dissection, which leverages high-throughput functional-genomics data from tissue homogenates using a machine-learning framework. This study applied nano-dissection to chronic kidney disease and identified transcripts specific to podocytes, key cells in the glomerular filter responsible for hereditary proteinuric syndromes and acquired CKD. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL14663 GPL11670
107 Samples
Download data: CEL
Series
Accession:
GSE47184
ID:
200047184
3.

In silico nano-dissection: defining cell type specificity at transcriptional level in human disease (glomeruli)

(Submitter supplied) To identify genes with cell-lineage-specific expression not accessible by experimental micro-dissection, we developed a genome-scale iterative method, in-silico nano-dissection, which leverages high-throughput functional-genomics data from tissue homogenates using a machine-learning framework. This study applied nano-dissection to chronic kidney disease and identified transcripts specific to podocytes, key cells in the glomerular filter responsible for hereditary proteinuric syndromes and acquired CKD. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL11670 GPL14663
122 Samples
Download data: CEL
Series
Accession:
GSE47183
ID:
200047183
4.

Single-cell analysis of human kidney organoids

(Submitter supplied) We have used single-cell transcriptomics to characterize gene expression in different cell populations, and to study individual cell dynamics and lineage trajectories in organoid cell differentiation
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
8 Samples
Download data: TXT
Series
Accession:
GSE115986
ID:
200115986
5.

Gene expression profiles of normal and injured podocytes induced by immunotoxin.

(Submitter supplied) Podocyte injury is a key event for progressive renal failure. We previously established a mouse model of inducible podocyte injury (NEP25) and demonstrated relentless progression of glomerular injury toward sclerosis. To further investigate molecular events, we performed polysome analysis of intact and injured podocytes utilizing the NEP25 and RiboTag transgenic mice. We show here the expression profiling of normal podocytes and podocytes injured by immunotoxin.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL10787
16 Samples
Download data: TXT
Series
Accession:
GSE108629
ID:
200108629
6.

APOL1 variant expression in mouse podocytes cause kidney disease

(Submitter supplied) Next-generation sequencing (NGS) has become an important tool in molecular charactarization of animal models. APOL1 variants are associated with end stage renal disease in African Americans. We developed a mouse model with podocyte specific over expression of APOL1. Differential molecular signatures were identified between the groups by RNA-Sequencing on kidney.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
10 Samples
Download data: TXT
Series
Accession:
GSE81492
ID:
200081492
7.

Single cell resolution regulatory landscape of the mouse kidney highlights cellular differentiation programs and renal disease targets

(Submitter supplied) Determining the epigenetic program that generates unique cell types in the kidney is critical for understanding cell-type heterogeneity during tissue homeostasis and injury response. Here, we profiled open chromatin and gene expression in developing and adult mouse kidneys at single cell resolution. We show critical reliance of gene expression on distal regulatory elements (enhancers). We define key cell type-specific transcription factors and major gene-regulatory circuits for kidney cells. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL21103 GPL21493
13 Samples
Download data: BIGWIG, CSV, RDS, TXT
Series
Accession:
GSE157079
ID:
200157079
8.

Gene expression analysis of a podocyte specific PTIP deletion in mouse glomerular preparations at 1 month of age

(Submitter supplied) Glomerular RNA comparison between wild-type and podocyte specific deletion of the PTIP gene in 1 month old kidneys. The PTIP gene was deleted using a floxed allele and a Podocin-Cre driver strain. These mice develop protein urea by 3 months of age. This study was designed to find gene expression differences prior to the onset of the phenotype.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL1261
18 Samples
Download data: CEL, TXT
Series
Accession:
GSE17709
ID:
200017709
9.

Single cell RNA-sequencing of human fetal kidneys

(Submitter supplied) 10X-based scRNA-seq data human fetal kidneys at 5 different ages
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
5 Samples
Download data: MTX, TSV
Series
Accession:
GSE114530
ID:
200114530
10.

Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL19184 GPL19109
413 Samples
Download data: CEL
Series
Accession:
GSE99340
ID:
200099340
11.

Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts [glomeruli]

(Submitter supplied) Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL19109 GPL19184
187 Samples
Download data: CEL
Series
Accession:
GSE99339
ID:
200099339
12.

Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts [Tub-FE]

(Submitter supplied) Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL19109 GPL19184
175 Samples
Download data: CEL
Series
Accession:
GSE99325
ID:
200099325
13.

Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts [HK2]

(Submitter supplied) Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL19109
27 Samples
Download data: CEL
Series
Accession:
GSE99324
ID:
200099324
14.

Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts [AB81]

(Submitter supplied) Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL19109
24 Samples
Download data: CEL
Series
Accession:
GSE99323
ID:
200099323
15.

Gene-Edited Human Kidney Organoids Reveal Mechanisms of Disease in Podocyte Development

(Submitter supplied) A critical event during kidney organogenesis is the differentiation of podocytes, specialized epithelial cells that filter blood plasma to form urine. Podocytes derived from human pluripotent stem cells (hPSC-podocytes) have recently been generated in nephron-like kidney organoids, but the developmental stage of these cells and their capacity to reveal disease mechanisms remains unclear. Here, we show that hPSC-podocytes phenocopy mammalian podocytes at the capillary loop stage (CLS), recapitulating key features of ultrastructure, gene expression, and mutant phenotype. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
12 Samples
Download data: TXT
16.

Differentiated mouse podocytes (SVI)

(Submitter supplied) Transcriptomes of differentiated cells of the conditionally immortalized mouse podocyte cell line SVI (Schiwek et al., Kidney Int. 66: 91-101, 2004) were determined as described in Kabgani et al. (PLoS One 7:e34907, 2012). The transcriptomes of the podocyte cell line were mapped on a protein-protein interaction network of the podocyte (PodNet). Together with other transcriptomes taken from GEO, we analyzed differential gene regulation and differential regulation of protein-protein interactions between cultured podocytes and differentiated in vivo podocytes.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL13730
3 Samples
Download data: CEL
Series
Accession:
GSE41523
ID:
200041523
17.

Primary cultures of glomerular parietal epithelial cells or podocytes with proven origin

(Submitter supplied) Parietal epithelial cells (PECs) are crucially involved in the pathogenesis of rapidly progressive glomerulonephritis (RPGN) as well as in focal and segmental glomerulosclerosis (FSGS). In this study, transgenic mouse lines were used to isolate pure, genetically tagged primary cultures of PECs or podocytes using FACsorting. By this approach, the morphology of primary glomerular epithelial cells in culture could be resolved: Primary podocytes formed either large cells with intracytoplasmatic extensions or smaller spindle shaped cells, depending on specific culture conditions. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL14866
8 Samples
Download data: CEL, TXT
Series
Accession:
GSE33714
ID:
200033714
18.

RNA-seq of mixed mouse glomerular mesangial and endothelial cells

(Submitter supplied) There are 3 cell types in a glomerulus: podocytes, mesangial cells and endothelial cells. These cell types play distinct roles in the structure and functions of glomeruli. In order to profile the gene expression of single glomerular cells, we isolated mouse glomeruli by Dynabead/magnetic concentration method and digested them with enzymes to dissociate them into single cells. We loaded the single cell suspension to a Fluidigm C1 Single-Cell Auto Prep System for single cell cDNA preparation. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13112
3 Samples
Download data: TXT
Series
Accession:
GSE89263
ID:
200089263
19.

Single glomerular podocyte RNA-seq analysis

(Submitter supplied) Available single-cell RNA-seq analyses have revealed that individual cells of the same type differ substantially in gene expression. We wonder whether glomerular podocytes, the cell type that is part of glomerular filtration, also exhibit big difference in gene expression among individual cells; and what biological information could be obtained from the single-podocyte RNA-seq data. Therefore, we isolated mouse glomeruli by Dynabead/magnetic concentration method, and digested them with enzymes to dissociate the cells. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13112
20 Samples
Download data: XLSX
Series
Accession:
GSE88814
ID:
200088814
20.

Next Generation Sequencing of control (Untreated), PAN injured and Adriamycin injured human podocytes

(Submitter supplied) Purpose: Next-generation sequencing (NGS) was used to identify cellular pathways and genes through systems-based analysis. The goals of this study are to identify NGS-derived transcriptome profiling (RNA-seq) in control (untreated) and Injured (PAN and Adriamycin) podocyte. These high throughput data were further validated through qRT–PCR methods to confirm the cellular pathways and genes affected due to the podocyte injury. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
9 Samples
Download data: TXT, XLSX
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

db=gds|term=|query=1|qty=3|blobid=MCID_6633815bb429841e5d8cfb3f|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center