GSE140308: Genomewide transcriptional analysis of growth hormone-treated human podocytes

Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
Enter gene symbol:

Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
Differentiated podocytes
GSM4159119 GSM4159120
GSM4159121 GSM4159122
Description

Submission Date: Nov 13, 2019

Summary: The growth hormone plays a significant role in normal renal function and overactive growth hormone signaling has been implicated in proteinuria in diabetes. Earlier studies from our group have shown that the glomerular podocytes, which play an essential role in renal filtration, express the growth hormone receptor, suggesting the direct action of growth hormone on these cells. Nevertheless, the precise mechanism and the downstream pathways that are induced by the excess growth hormone in these podocytes leading to diabetic nephropathy are not clearly established. To compressively understand the growth hormone's effect on podocytes at transcript level we performed RNA-Sequencing. Conditionally immortalized human podocytes were employed in this study.

GEO Accession ID: GSE140308

PMID: No Pubmed ID

Description

Submission Date: Nov 13, 2019

Summary: The growth hormone plays a significant role in normal renal function and overactive growth hormone signaling has been implicated in proteinuria in diabetes. Earlier studies from our group have shown that the glomerular podocytes, which play an essential role in renal filtration, express the growth hormone receptor, suggesting the direct action of growth hormone on these cells. Nevertheless, the precise mechanism and the downstream pathways that are induced by the excess growth hormone in these podocytes leading to diabetic nephropathy are not clearly established. To compressively understand the growth hormone's effect on podocytes at transcript level we performed RNA-Sequencing. Conditionally immortalized human podocytes were employed in this study.

GEO Accession ID: GSE140308

PMID: No Pubmed ID

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

Signatures:

Select conditions:

Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method:
Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.