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Drosha in mesangial cells regulates Glomerular Capillary Tufts Formation Through Drosha/Ribosome/Gata3 Axis

GSE302255 Mus musculus (mouse) Non-coding RNA profiling 9 samples Submitted 2026/07/10 Platform GPL17021
At a glance

Non-coding RNA profiling · mouse · 9 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Mus musculus (mouse)
Samples
9 samples: 2 × SV40-MES-13, Empty vector, RNAseq, vs 2 × SV40-MES-13, sh7 Drosha KO, RNAseq, vs 2 × SV40-MES-13, WT, miRNAseq, vs 2 × SV40-MES-13, Drosha KD, miRNAseq,Groups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
CAKUT (congenital anomalies of the kidney and the urinary tract) is one of the most prevalent birth defects, affecting around 1% of newborns. However, the genetic factors underlying the majority of CAKUT are unknown. Drosha, the microRNA-processing ribonuclease, has been reported to regulate the nephric cap meschyme development, and its mutations are implicated in Wilms tumor, a pediatric kidney cancer.
Read the full summary ↓
Here, we investigated the role of Drosha in mesangial cells and its impact on glomerular capillary tuft formation. Deletion of Drosha in mesangial cells (DroshacKO) disrupted the glomerular capillary tufts formation, leading to dysplastic glomeruli, proteinuria, oliguria, reduced looping of glomerular capillaries and capillary dilation. Drosha-knockdown (KD) in mesangial cells (SV40 MES 13) leads to decreased cell proliferation and reduced Gata3 protein level. Transcriptome analysis by RNA-seq shows decreased level of ribosome protein gene (RPG)s but unaltered mRNA level of major genes affecting kidney development, including Gata3, Pax2, Atn1, Wt1 etc. in Drosha-KD compared to Control SV40 MES13 cells. Further analysis indicates Drosha regulates the translation of Gata3 in mesangial cells via regulating RPG transcription. Our work, for the first time, reveals that Drosha in mesangial cells orchestrates the formation of glomerular capillary tufts by regulating Gata3 translation. It identifies the critical role of DROSHA in nephric development and proposes DROSHA as a novel potential causal gene for CAKUT. [miRNA-Seq] This study investigates the role of DROSHA in microRNA biogenesis using the mouse renal mesangial cell line ME13 sv40. Small RNA sequencing was performed to compare microRNA expression profiles between DROSHA knockdown cells and control cells. The results aim to elucidate how DROSHA depletion alters microRNA expression patterns, which may provide insights into post-transcriptional regulation in renal mesangial cells.
This dataset
Open GSE302255 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE302255_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

Also filed as BioProject PRJNA1289726 and SRA study SRP599862. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
2 × SV40-MES-13, Empty vector, RNAseq, vs 2 × SV40-MES-13, sh7 Drosha KO, RNAseq, vs 2 × SV40-MES-13, WT, miRNAseq, vs 2 × SV40-MES-13, Drosha KD, miRNAseq,

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 9 sample titles; they account for 8 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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