← BioTransfer GEO Dataset Finder
GEO series

Transcriptome analysis of fetal kidney RNA from GR-null and control mice at E18.5

GSE290962 Mus musculus Expression profiling by high throughput sequencing 7 samples Submitted 2025/04/15 Platform GPL13112
Summary
Glucocorticoid steroid hormones play essential roles for maturation and growth of many fetal organs including the lung and heart, yet the kidney-specific roles are not well characterised. Glucocorticoids activate the intracellular glucocorticoid receptor (GR) that acts primarily as nuclear transcriptional regulators. We analysed the effect of loss of GR expression on the fetal kidney transcriptome at E18.5 by RNA sequencing. Total RNA was extracted from control (n=4) and GR-null (n=3) kidneys. Loss of GR expression resulted in 2473 differentially expressed genes (FDR < 0.05), 288 genes with absolute LogFC > 1 & FDR < 0.05, which identified 16 upregulated and 25 downregulated primary ciliary genes (FDR < 0.05). Primary cilia are cell signalling and environment sensing organelles that protrude from cell membranes and play important roles during embryogenesis and tissue homeostasis. Little is known of the cellular pathways regulating ciliogenesis. Our findings indicate a role of glucocorticoid signalling in primary cilia formation in renal tubular cells of the developing mouse kidney.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE290962_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 7 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1227579 and SRA study SRP566791. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 7 more — browse all 7 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.