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HEP14 treatment improves ovarian function in aged mice through mitophagy enhancement and oxidative stress reducton

GSE273724 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/07/17 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 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.
Summary (written by the submitters)
Ovarian senescence impacts reproductive health and accelerates the overall aging process. Despite extensive research in this area there is still a dearth of effective therapeutic strategies. We here report the rejuvenating effects of HEP14, a natural activator of PKC pathway, on aged ovarian function. Further, we detail a method to fabricate HEP14-loaded PLGA microspheres designed for controlled and sustained drug release in vivo.
Read the full summary ↓
Transcriptomic analysis revealed a significant overlap between the transcriptional profiles of HEP14-treated aged ovaries and those of adult ovaries, suggesting molecular rejuvenation process. Histopathological evaluations following treatment demonstrated that HEP14 not only enhances mitophagy but also exhibits antioxidative properties and promotes follicular regeneration. As a result, ovarian endocrine function was ultimately restored in aged mice, evident in raised serum levels of E2, AMH, Inhibin A/B and lowered FSH levels. In vitro studies further showcased restorative effect of HEP14 on enhancement of mitophagy and mitochondrial function by the activation of the PKC-ERK1/2 pathway in senescent GCs, which are integral to the action mechanism of HEP14. These findings pave the way for new therapeutic approaches for developing therapeutic strategies aimed at improving reproductive health in aging individuals.
This dataset
Open GSE273724 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 GSE273724_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 PRJNA1142930 and SRA study SRP524089. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly with about 4 replicates each
Ovary, young ×4 Ovary, adult ×4 Ovary, adult_HEP14 ×4 Ovary, aged ×4 Ovary, aged_HEP14 ×4

Supports a between-group comparison across 20 samples.

How we read this: 5 replicated groups read from 20 sample titles; they account for 20 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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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.