GEO series

Canagliflozin treatment prevents follicular exhaustion and attenuates hallmarks of ovarian aging in genetically heterogenous mice

GSE283764 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2024/12/11 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 15 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: 15 samples: 5 × Ovary, Cana treated, vs 5 × Ovary, Control 12mo, vs 5 × Ovary, Control 6mo,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.
Paper: Canagliflozin treatment prevents follicular exhaustion and attenuates hallmarks of ovarian aging in genetically heterogenous miceGeroScience · 2025

Summary (written by the submitters)

Ovarian aging is characterized by declines in follicular reserve and the emergence of mitochondrial dysfunction, reactive oxygen species production, inflammation, and fibrosis, which eventually results in menopause. Menopause is associated with increased systemic aging and the development of numerous comorbidities; therefore, the attenuation of ovarian aging could also delay systemic aging processes in women.

Read the full summary ↓

Recent work has established that the anti-diabetic drug Canagliflozin (Cana), a sodium-glucose transporter 2 inhibitor, elicits benefits on aging-related outcomes, likely through the modulation of nutrient-sensing pathways and metabolic homeostasis. Given that nutrient-sensing pathways play a critical role in controlling primordial follicle activation, we sought to determine if chronic Cana administration would delay ovarian aging and curtail the emergence of pathological hallmarks associated with reproductive senescence. We found that mice receiving Cana maintained their ovarian reserve through 12 months of age, which was associated with declines in primordial follicles FoxO3a phosphorylation, a marker of activation, when compared to the age-matched controls. Furthermore, Cana treatment led to decreased collagen, lipofuscin, and T cell accumulation at 12 months of age. Whole ovary transcriptomic and proteomic analyses revealed subtle improvements, predominantly in mitochondrial function and the regulation of cellular proliferation. Pathway analyses of the transcriptomic data revealed a downregulation in cell proliferation and mitochondrial dysfunction signatures, with an upregulation of oxidative phosphorylation. Pathway analyses of the proteomic data revealed declines in signatures associated with PI3K/AKT activity and lymphocyte accumulation. Collectively, we demonstrate that Cana treatment can delay ovarian aging in mice and could potentially have efficacy for delaying ovarian aging in women.

Published in

Canagliflozin treatment prevents follicular exhaustion and attenuates hallmarks of ovarian aging in genetically heterogenous mice

Isola JVV, Biswas S, Jayarathne H et al. · GeroScience 2025 · PMID 39672978 · doi:10.1007/s11357-024-01465-w

This dataset

Open GSE283764 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 GSE283764_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 PRJNA1195555 and SRA study SRP550046. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39672978) ↗

Study design

5 × Ovary, Cana treated, vs 5 × Ovary, Control 12mo, vs 5 × Ovary, Control 6mo,

Supports a case/control comparison: 5 samples read as cases, 10 as controls.

How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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

GSM8671782 Ovary, Cana treated, rep1 Ovary, Cana treated,
GSM8671783 Ovary, Cana treated, rep2 Ovary, Cana treated,
GSM8671784 Ovary, Cana treated, rep3 Ovary, Cana treated,
GSM8671785 Ovary, Cana treated, rep4 Ovary, Cana treated,
GSM8671786 Ovary, Cana treated, rep5 Ovary, Cana treated,
GSM8671787 Ovary, Control 12mo, rep1 Ovary, Control 12mo,
GSM8671788 Ovary, Control 12mo, rep2 Ovary, Control 12mo,
GSM8671789 Ovary, Control 12mo, rep3 Ovary, Control 12mo,
GSM8671790 Ovary, Control 12mo, rep4 Ovary, Control 12mo,
GSM8671791 Ovary, Control 12mo, rep5 Ovary, Control 12mo,
GSM8671792 Ovary, Control 6mo, rep1 Ovary, Control 6mo,
GSM8671793 Ovary, Control 6mo, rep2 Ovary, Control 6mo,
GSM8671794 Ovary, Control 6mo, rep3 Ovary, Control 6mo,
GSM8671795 Ovary, Control 6mo, rep4 Ovary, Control 6mo,
GSM8671796 Ovary, Control 6mo, rep5 Ovary, Control 6mo,

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