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Targeting YAP1 Attenuates Persistent Oxidative Stress-Driven Tubular Cell Senescence

GSE333763 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/06/03 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: 4 × ShNC vs 4 × H2O2 vs 4 × YHGroups 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
Targeting YAP1-Mediated Tubular Cell Senescence to Attenuate Maladaptive Repair and Fibrotic Transition After Acute Kidney InjuryFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
Summary (written by the submitters)
Persistent oxidative stress induced by hydrogen peroxide (H2O2) upregulates the expression of YAP1 and triggers cellular senescence in HK-2 (human kidney-2) cells. Conversely, knockdown of YAP1 not only downregulates the Hippo signaling pathway but also suppresses genes involved in extracellular matrix (ECM) reorganization. Furthermore, this YAP1 depletion effectively reduces tubular cell senescence, suggesting that YAP1 acts as a key mediator linking oxidative stress to fibrotic and aging phenotypes in renal tubular cells.
Published in
Targeting YAP1-Mediated Tubular Cell Senescence to Attenuate Maladaptive Repair and Fibrotic Transition After Acute Kidney Injury
Zhao Z, An H, Sang Y et al. · FASEB journal : official publication of the Federation of American Societies for Experimental Biology 2026 · PMID 42381472 · doi:10.1096/fj.202503969RR
This dataset
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.

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 GSE333763_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1467889 and SRA study SRP701907. Searching any of these in the dataset finder brings you back here.

Study design
4 × ShNC vs 4 × H2O2 vs 4 × YH

Supports a between-group comparison across 12 samples.

How we read this: 3 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
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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.