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Effect of beta-catenin (Ctnnb1) on vasopressin-responsive gene expression in mouse kidney collecting duct mpkCCDc11 cells

GSE293529 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/02/22 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
12 samples: 3 × mpkCCDc11, Control-siRNA, Vehicle, vs 3 × mpkCCDc11, Control-siRNA, dDAVP, vs 3 × mpkCCDc11, Ctnnb1-siRNA, Vehicle, vs 3 × mpkCCDc11, Ctnnb1-siRNA, dDAVP,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)
Vasopressin tightly regulates water reabsorption in renal collecting duct cells by increasing the abundance of aquaporin-2 (AQP2) through transcriptional and post-transcriptional mechanisms. We recently discovered that a complex comprising CTNNB1 (beta-catenin) and PARP1 involves Aqp2 gene transcription in response to vasopressin as a transcriptional regulator.
Read the full summary ↓
However, the mechanistic involvement of Ctnnb1 in Aqp2 gene transcription in response to vasopressin is poorly known. To understand Ctnnb1-mediated Aqp2 gene regulation in the collecting duct cells, RNA sequencing (RNA-seq)-based transcriptomic profiling was perfomred in mouse kidney collecting duct cell line mpkCCDc11 treated with dDAVP or Ctnnb1 knockdown.
This dataset
Open GSE293529 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 GSE293529_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 PRJNA1244883 and SRA study SRP575717. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × mpkCCDc11, Control-siRNA, Vehicle, vs 3 × mpkCCDc11, Control-siRNA, dDAVP, vs 3 × mpkCCDc11, Ctnnb1-siRNA, Vehicle, vs 3 × mpkCCDc11, Ctnnb1-siRNA, dDAVP,

Supports a between-group comparison across 12 samples.

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

Search all mouse RNA-seq datasets in GEO →

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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.