GEO series

Hypertonicity induced changes in gene expression in mpkCCD cells and the contribution of NFAT5 activity on these changes.

GSE326713 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/06/25 Platform GPL17021

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: 12 samples, each with a distinct title — no replicated groupsGroups 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: Dissecting hypertonicity- and NFAT5-dependent gene expression programs in mpkCCD cellsPhysiological reports · 2026

Summary (written by the submitters)

The corticomedullary osmotic gradient between renal cortex and medulla induces a specific spatial gene expression pattern. The factors that control these differences are not fully addressed. The hypertonic environment leads to activation of the nuclear factor of activated T-cells 5 (NFAT5), which regulates the expression of osmoprotective genes.

Read the full summary ↓

While NFAT5 function under hypertonic conditions has been extensively studied, its contribution to basal gene 28 regulation remains incompletely understood. We used murine principal kidney cortical collecting duct (mpkCCD) cells and induced functional deletion of NFAT5 and performed gene expression profiling to identify genes that are differentially expressed under isotonic and hypertonic cell culture conditions. Hypertonic stress induced extensive transcriptional changes in control cells, which were markedly altered in NFAT5-deficient cells. Furthermore, the comparison of the mpkCCD transcriptomes with gene expression profiles from renal cortex and inner medulla of control and principal cell-specific NFAT5 knockout mice revealed partial overlap in hypertonicity-associated and NFAT5-dependent gene expression patterns. In both conditions, the expression of known NFAT5 target genes, like Aqp2 or Ranbp3l, was downregulated. These findings support the use of mpkCCD cells as a complementary model to study NFAT5-associated gene regulation under controlled in vitro conditions.

Published in

Dissecting hypertonicity- and NFAT5-dependent gene expression programs in mpkCCD cells

Engel K, Chernyakov D, Pernecker M et al. · Physiological reports 2026 · PMID 42322003 · doi:10.14814/phy2.70976

This dataset

Open GSE326713 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 GSE326713_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 PRJNA1446791 and SRA study SRP688527. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42322003) ↗

Study design

12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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

GSM9637515 mpkCCD cells, scramble1, 600 mosmol/kg
GSM9637516 mpkCCD cells, scramble2, 300 mosmol/kg
GSM9637517 mpkCCD cells, scramble3, 300 mosmol/kg
GSM9637518 mpkCCD cells, scramble4, 600 mosmol/kg
GSM9637519 mpkCCD cells, Nfat5-KO 1, clone N1, 300 mosmol/kg
GSM9637520 mpkCCD cells, Nfat5-KO 1, clone N1, 600 mosmol/kg
GSM9637521 mpkCCD cells, Nfat5-KO 3, clone N1, 300 mosmol/kg
GSM9637522 mpkCCD cells, Nfat5-KO 3, clone N1, 600 mosmol/kg
GSM9637523 mpkCCD cells, Nfat5-KO 1, clone N3, 300 mosmol/kg
GSM9637524 mpkCCD cells, Nfat5-KO 2, clone N3, 600 mosmol/kg
GSM9637525 mpkCCD cells, Nfat5-KO 2, clone N3, 300 mosmol/kg
GSM9637526 mpkCCD cells, Nfat5-KO 3, clone N3, 600 mosmol/kg

Datasets on a similar topic

GSE252839 Nuclear Factor NFAT5 Governs Cellular Plasticity-Induced KRAS-Targeted Therapy Resistance in Pancreatic Cancer 24 samples shares nfat5, induced
GSE282096 Diminished transcriptional activity and splicing changes drive gene length-biased rewiring in the aging transcriptome (RNA-Seq) 94 samples shares activity, changes
GSE243110 A TrkB and TrkC partial agonist prevents synaptic plasticity deficits and elicits activity-dependent synaptic and microglial transcriptomic changes in a late-stage Alzheimer’s disease mouse model 36 samples shares activity, changes
GSE245251 Synaptic Activity Causes Minute-scale Changes in BAF Complex Composition and Function [RNA-Seq] 24 samples shares activity, changes
GSE261642 PLPP1-deficiency-mediated ferroptosis induced by PD-1 signaling impairs antitumor activity of intratumoral CD8+ T cells I 23 samples shares activity, induced
GSE261561 Contribution of VEGF-B-induced endocardial endothelial cell lineage in physiological versus pathological cardiac hypertrophy. 12 samples shares contribution, induced
GSE282097 Diminished transcriptional activity and splicing changes drive gene length-biased rewiring in the aging transcriptome 116 samples shares activity, changes
GSE274969 Genetic variation in the activity of a TREM2-p53 signaling axis determines oxygeninduced lung injury 77 samples shares activity, induced

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.