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Podocyte-specific YAP activation triggers crescentic glomerulonephritis through cross-talk with parietal epithelial cells

GSE272779 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/05/26 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
12 samples: 3 × Human Podocyte, GFP Control, No treatment, vs 3 × Human Podocyte, GFP Control, Dox treated, vs 3 × Human Podocyte, Yap5SA, No treatment, vs 3 × Human Podocyte, Yap5SA, Dox treated,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.
Paper
Podocyte-specific YAP activation triggers crescentic glomerulonephritis through cross-talk with parietal epithelial cellsScience translational medicine · 2025
Summary (written by the submitters)
YAP, a transcriptional co-activator, is known to control programs that are both cell- and context-dependent. We report that the overactivation of YAP (YAP5SA) in podocytes has both cell autonomous and non-cell autonomous consequences. RNA-seq analysis of YAP5SA-expressing compared to control podocytes revealed pathways and candidate genes that could explain both these effects.
Published in
Podocyte-specific YAP activation triggers crescentic glomerulonephritis through cross-talk with parietal epithelial cells
Turinsky L, Rehrl S, Nguyen C et al. · Science translational medicine 2025 · PMID 40560996 · doi:10.1126/scitranslmed.adq7825
This dataset
Open GSE272779 in finder → Find more human 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 GSE272779_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 ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1138722 and SRA study SRP521384. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40560996) ↗
Study design
3 × Human Podocyte, GFP Control, No treatment, vs 3 × Human Podocyte, GFP Control, Dox treated, vs 3 × Human Podocyte, Yap5SA, No treatment, vs 3 × Human Podocyte, Yap5SA, Dox treated,

Supports a case/control comparison: 3 samples read as cases, 3 as controls.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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