GEO series

miR-155-driven dysregulation of the PPARγ/PGC-1α/ERRα-Drp1 axis contributes to mitochondrial damage in hypoxic/ischemic neuronal cells

GSE332777 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/07/10 Platform GPL34290

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: 4 × NC vs 4 × mimic vs 4 × inhibitoGroups 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)

Background: Mitochondrial dysfunction is closely related to ischemic brain injury. Increased expression of dynamin-related protein 1 (Drp1) in neuronal cells plays a crucial role in ischemia/hypoxia-induced mitochondrial damage, and dysregulation of miR-155 expression is implicated in cerebral ischemic injury. However, the mechanistic link between miR-155 dysregulation and Drp1-mediated mitochondrial damage in ischemic/hypoxic neuronal cells remains largely elusive.

Read the full summary ↓

Methods: Oxygen-glucose deprivation (OGD)-treated Neuro-2a cells were employed to investigate the effects of hypoxia/ischemia on miR-155 expression. The cells transfected with miR-155 mimic and miR-155 inhibitor were used to clarify the the role of miR-155 in OGD-induced mitochondrial damage. The expression levels of PGC-1α, PPARα, PPARβ/δ, PPARγ, ERRα, and Drp1 were assessed using qRT-PCR, Western blotting, and immunofluorescence staining, and their interactions were identified by confocal colocalization and co-immunoprecipitation experiments. Mitochondrial functions were evaluated by measuring ATP content, ROS, MMP, and mPTP opening. Chromatin immunoprecipitation (ChIP) assay was performed to detect the binding of ERRα to the Drp1 promoter. Results: miR-155 expression in OGD-treated neuronal cells exhibited a significant upregulation in a time-dependent manner. Elevated miR-155 induced excessive mitochondrial fission and dysfunction, as evidenced by a decreased ATP content, increased ROS generation, depolarized MMP, and mPTP opening, which is accompanied by a markedly reduced expression of PPAR family members, particularly the PPARγ. Mechanistically, miR-155 weakened the interaction between PGC-1α and PPARγ by suppressing their expressions and thus downregulated ERRα expression, which prevents the binding of ERRα to the Drp1 promoter, thereby relieving the repression of the Drp1 promoter by ERRα. These findings suggest that PGC-1α and ERRα negatively regulate Drp1 expression in neuronal cells. Notably, inhibition of miR-155 could ameliorate mitochondrial dysfunction by improving the OGD-induced dysregulation of PPARγ/PGC-1α/ERRα-Drp1 axis in Neuro-2a cells, providing new insights into the mechanisms of ischemia/hypoxia-induced mitochondrial dysfunction. Conclusion: Our findings reveal a novel mechanism by which miR-155 contributes to mitochondrial damage by driving the ischemia/hypoxia-induced dysregulation of PPARγ/PGC-1α/ERRα-Drp1 axis in neuronal cells, identifying potential new therapeutic targets for the treatment of post-ischemic mitochondrial damage.

This dataset

Open GSE332777 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 GSE332777_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 PRJNA1469054 and SRA study SRP702656. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

4 × NC vs 4 × mimic vs 4 × inhibito

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

GSM9753172 NC1 NC
GSM9753173 NC2 NC
GSM9753174 NC3 NC
GSM9753175 NC4 NC
GSM9753176 mimic1 mimic
GSM9753177 mimic2 mimic
GSM9753178 mimic3 mimic
GSM9753179 mimic4 mimic
GSM9753180 inhibitor1 inhibito
GSM9753181 inhibitor2 inhibito
GSM9753182 inhibitor3 inhibito
GSM9753183 inhibitor4 inhibito

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