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Functional and transcriptomic dose-response analysis of follicle-stimulating hormone in ex vivo mouse folliculogenesis and oogenesis

GSE249196 Mus musculus (mouse) RNA-seq (gene expression) 50 samples Submitted 2024/06/05 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 50 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
50 samples: 7 conditions, mostly with about 6 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
A Dose-Response Study on Functional and Transcriptomic Effects of FSH on Ex Vivo Mouse FolliculogenesisEndocrinology · 2024
Summary (written by the submitters)
The gonadotropin-dependent phase of ovarian folliculogenesis primarily requires follicle-stimulating hormone (FSH) to support one or multiple early antral follicles, dependent on the species, to mature fully and support steroidogenesis, oogenesis, and ovulation, which critically sustain female reproductive cycles and fertility. At molecular levels, FSH binds to its membrane receptor, FSHR, in granulosa cells to activate a suite of genes and signal transduction pathways.
Read the full summary ↓
Both insufficient FSH caused by genetic or non-genetic reasons and excessive FSH used for ovarian stimulation in assisted reproductive technology (ART) can cause poor female reproductive outcomes, but the underlying mechanisms remain elusive. Here, we used an ex vivo folliculogenesis and oogenesis system along with single-follicle and -oocyte RNA sequencing analysis and other approaches to investigate the effects of different concentrations of FSH on key follicular events. The results revealed that a minimum FSH threshold is required for follicle maturation, and such threshold is moderately variable among individual follicles. FSH at the subthreshold, threshold, and suprathreshold levels induced distinct expression patterns of follicle maturation-related genes and the entire follicular transcriptomics. The RNA-seq analysis identified several new genes and signaling pathways that may critically regulate follicle maturation. The treatment of excessive FSH resulted in multiple ovarian disorders including premature luteinization, high production of androgen and proinflammatory factors, and reduced expression of energy metabolism-related genes in oocytes. Together, our study enables a better understanding of the gonadotropin-dependent folliculogenesis, and the novel findings shed crucial insights into how ovarian stimulation with high doses of FSH used in ART impact follicular health, oocyte quality, pregnancy success, and systemic health.
Published in
A Dose-Response Study on Functional and Transcriptomic Effects of FSH on Ex Vivo Mouse Folliculogenesis
Zhan T, Zhang J, Zhang Y et al. · Endocrinology 2024 · PMID 38735763 · doi:10.1210/endocr/bqae054
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 GSE249196_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 PRJNA1047649 and SRA study SRP475385. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly with about 6 replicates each
oocyte FSH10 ×10 oocyte FSH30 ×10 follicle D4 ×6 follicle D6_5 ×6 follicle D6_10 ×6 follicle D6_20 ×6 follicle D6_30 ×6

Supports a between-group comparison across 50 samples.

How we read this: 7 replicated groups read from 50 sample titles; they account for 50 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

+ 10 more — browse all 50 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.