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Effects of Short-Term High Fat/ High Sugar Diet on Follicle - Stimulating Hormone Secretion and Ovarian Gene Expression

GSE290347 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/08/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 6 × FRP-Regular Diet vs 6 × FR-Regular Diet vs 6 × FRP-HF/HS Diet vs 6 × FR-HF/HS DietGroups 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)
Obesity is associated with decreased reproductive fitness including changes in the hypothalamic-pituitary-gonadal axis. Exposure to high fat diet can impair reproductive function even in the absence of obesity. Here, we tested the effects of a short-term high fat/high sugar (HF/HS) diet on the secretion pattern of follicle-stimulating hormone (FSH) and changes in gene expression in mouse ovaries.
Read the full summary ↓
We used Fshb null mice expressing either a wild-type human FSHB transgene by which FSH is released constitutively or those expressing a mutant human FSHB transgene by which FSH is re-routed and released from the regulated LH secretory pathway. Mice were maintained on a HF/HS diet or regular chow for 10 weeks and serial blood samples were collected from tail tips for FSH analyses. RNA-Seq analysis was used to determine changes in ovarian gene expression. After 10 weeks on HF/HS diet, the mice did not develop obesity and allowed us to study the effects on FSH secretion characteristics. While area under the curve for FSH was unchanged, the amplitude of FSH was altered in re-routed FSH expressing mice on a HF/HS diet. We identified distinct changes in ovarian gene expression depending on the diet (regular vs. HF/HS) and FSH secretion pattern (constitutive vs. re-routed). Overall, re-routed FSH expressing mice maintained better ovarian gene expression even when fed on HF/HS diet. Thus, our re-routed FSH expressing transgenic mice provide a trackable genetic model to study the long-term effects of HF/HS diet and other metabolic syndromes on FSH secretion characteristics and the consequences on ovarian function.
This dataset
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.

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 GSE290347_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1227524 and SRA study SRP565993. Searching any of these in the dataset finder brings you back here.

Study design
6 × FRP-Regular Diet vs 6 × FR-Regular Diet vs 6 × FRP-HF/HS Diet vs 6 × FR-HF/HS Diet

Supports a between-group comparison across 24 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 24 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
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