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Harmful algal bloom toxin microcystin-LR interferes with PP1-mediated PI3K/AKT/FOXO1 signaling in granulosa cells to disrupt ovarian follicle maturation and ovulation

GSE201806 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2024/06/15 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: 8 × Control vs 7 × MC-LGroups 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)
Harmful algal blooms (HABs) arise from the rapid growth of algae in both marine and freshwater ecosystems due to the continuous global temperature rise and anthropogenic eutrophication. Humans are at a great risk of exposure to toxins released from HABs through drinking water, food, and recreational activities, making HAB toxins contaminants of emerging concern (CECs).
Read the full summary ↓
The impact of HAB toxins on women’s reproductive health, however, remains poorly understood. Here, we investigated the effects of microcystin-LR (MC-LR), the most common HAB toxin, on the ovary, the female gonad, and associated ovarian functions. The results of a chronic daily oral mouse exposure model and an acute exposure using the mouse superovulation model revealed that MC-LR accumulated in the ovary and environmentally-relevant exposure to MC-LR perturbed follicle-stimulating hormone (FSH)-dependent follicle maturation to disrupt ovulation and luteinization. Using an ex vivo mouse follicle maturation and ovulation assay and in vitro culture of human primary granulosa cells, mechanistic studies such as the single-follicle RNA sequencing analysis and others elucidated that MC-LR inhibited protein phosphatase 1 (PP1) and interfered with PP1-mediated PI3K/AKT/FOXO1 signaling in granulosa cells, which suppressed follicle maturation, ovulation, luteinization, and progesterone secretion. Together, our study demonstrates that environmentally-relevant exposure to MC-LR acts a PP1 inhibitor to interfere with the PI3K/AKT/FOXO1 signaling in granulosa cells, which disrupts follicle maturation and results in adverse female reproductive outcomes. As a newly identified ovarian endocrine disrupting chemical (EDC), exposure to MC-LR poses a serious threat to women’s reproductive health and fertility.
This dataset
Open GSE201806 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 GSE201806_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 PRJNA833085 and SRA study SRP372730. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 × Control vs 7 × MC-L

Supports a between-group comparison across 15 samples.

How we read this: 2 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
Datasets on a similar topic

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