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Cx43-mediated mitochondrial transfer from MSCs mitigate oxidative stress-inflammation interplay in IRI-AKI via PGC1a activation

GSE266396 Mus musculus (mouse) RNA-seq (gene expression) 40 samples Submitted 2026/05/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 40 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
40 samples: 10 conditions, mostly with about 4 replicates eachGroups 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
Connexin 43-dependent mesenchymal stem cell mitochondrial transfer activates PGC1α disrupting oxidative-inflammation axis in ischemia-reperfusion injurySignal transduction and targeted therapy · 2026
Summary (written by the submitters)
Ischemia Reperfusion Injury-related Acute Kidney Injury (IRI-AKI) is a significant clinical challenge characterized by interrupted blood flow to the kidneys, leading to substantial complications such as prolonged hospital stays, chronic kidney disease, and increased mortality rates. Current management strategies are limited to supportive care, underscoring the need for targeted therapies.
Read the full summary ↓
This study investigates the potential of Mesenchymal Stromal Cells (MSCs) to transfer functional mitochondria to damaged renal cells via gap junctions, specifically connexin 43 (Cx43), in a clinically relevant surgical model of IRI-AKI. We conducted a time-course analysis to identify critical time points for mitochondrial dysfunction and the optimal therapeutic window for MSC administration, comparing the reno-protective effects of bone marrow-derived MSCs (BM-MSCs) and umbilical cord-derived MSCs (UC-MSCs) in both in vivo and in vitro models. Additionally, we explored the activation of mitochondrial biogenesis and dynamics signaling pathways, particularly PGC1α, to assess the restoration of mitochondrial homeostasis in IRI-AKI, and its potential to disrupt the oxidative stress-inflammation axis, paving the way for precision therapies in treating IRI-AKI.
Published in
Connexin 43-dependent mesenchymal stem cell mitochondrial transfer activates PGC1α disrupting oxidative-inflammation axis in ischemia-reperfusion injury
Ganguly A, Wang J, Regmi S et al. · Signal transduction and targeted therapy 2026 · PMID 42476966 · doi:10.1038/s41392-026-02841-y
This dataset
Open GSE266396 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 GSE266396_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 PRJNA1106905 and SRA study SRP505257. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42476966) ↗
Study design
10 conditions, mostly with about 4 replicates each
kidney, Control ×4 kidney, BM ×4 kidney, UC ×4 IRI_6h ×4 IRI_24h ×4 IRI_48h ×4 IRI_72h ×4 sham_control ×4 +2 more

Supports a between-group comparison across 40 samples.

How we read this: 10 replicated groups read from 40 sample titles; they account for 40 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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