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Low-dose exposure to microplastics retards meiotic maturation via HDACs insufficiency

GSE259264 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2024/03/06 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 24 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
24 samples: 12 conditions, mostly in duplicateGroups 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)
Microplastics (MPs) are considered as one of the main reasons for male and female infertility. However, the reproductive toxicity and its related mechanisms are understood by animal models with acute exposure to MPs at present. In the study, we show the low-dose polystyrene microplastics (PSMPs) exposure results in severely abnormal reproduction in female, but not male in mouse model, exhibiting failed oocyte meiotic maturation.
Read the full summary ↓
Mechanistically, the PSMPs exposure induces the over-activation of cell metabolism pathways, insufficient HDACs and H4K16 hyperacetylation in oocytes in vivo and in vitro. By addition of HDAC3 inhibitor, the failed oocyte maturation, over-activation of cell metabolism pathways and H4K16 hyperacetylation are recapitulated, and the overexpression of HDAC3 can rescue the defects of meiotic maturation induced by PSMPs. Our observations suggest a direct link of the maturation defects induced by PSMPs to HDAC3 insufficiency. Thus, we propose the potential treatments for therapy of the failed meiotic maturation of oocyte from women highly exposed to MPs by activating or supplying HDAC3.
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 GSE259264_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1080548 and SRA study SRP491784. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in duplicate
H4K16ac-con ×2 H4K16ac-in vivo PSMPs ×2 H4K16ac-in vitro PSMPs ×2 H4K16ac-SAHA ×2 H4K16ac-PSMPs & OE-Hdac3 ×2 H4K16ac-con-invitro ×2 RNA-con ×2 RNA-in vivo PSMPs ×2 +4 more

Supports a between-group comparison across 24 samples.

How we read this: 12 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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