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ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq)

GSE241770 Mus musculus (mouse) Single-cell RNA-seq 7899 samples Submitted 2025/01/26 Platform GPL28457Platform GPL24247Platform GPL21103
At a glance

Single-cell RNA-seq · mouse · 7899 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
7899 samples: 7899 samples, each with a distinct title — no replicated groupsGroups 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
ACSS2 mediates an epigenetic pathway to regulate β-cell adaptation during gestation in miceNature communications · 2025
Summary (written by the submitters)
Maternal pancreatic Beta-cell state is adapted to accommodate gestation metabolism. Defects in this process may cause gestational diabetes mellitus (GDM), with risk factors including a high-calorie diet during pregnancy. However, the regulatory mechanism of maternal Beta-cell adaptation is largely unknown.
Read the full summary ↓
Using single-cell transcriptome combining genetic analyses, we discovered a precise process of Beta-cell adaptation in mice which is associated with progression of metabolic stress-related Beta-cell dysfunction, increased 40393969acetyl-CoA biosynthesis, and gene element-specific histone acetylation. STAT3 recruits p300 to promote histone acetylation levels of pregnancy-associated genes, and Acetyl-CoA Synthetase 2 (ACSS2) enhances this process. High-fat feeding causes hyperacetylation of chromatin that is specifically opened during pregnancy, which results in overexpression of genes that impair Beta-cell functions and, consequently, hyperglycemia. However, these impairments can be rescued by Beta-cell-specific deletion of Acss2. Therefore, our study reveals a precise adaptation process in Beta-cells at the single-cell level during pregnancy and a specific epigenetic pathway that regulates this process. We also explain the epigenetic regulatory mechanism by which a high-fat diet can lead to GDM and identify ACSS2 as a potential molecular target for controlling the progression of GDM.
Published in
ACSS2 mediates an epigenetic pathway to regulate β-cell adaptation during gestation in mice
Zhang Y, He S, Wang X et al. · Nature communications 2025 · PMID 40393969 · doi:10.1038/s41467-025-58322-3
This dataset
Open GSE241770 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 GSE241770_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1009841 and SRA study SRP457156. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40393969) ↗
Study design
7899 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from the first 400 of 7899 sample titles: 400 distinct titles with little repetition. 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

+ 7859 more — browse all 7899 samples with per-sample file links →

Datasets on a similar topic

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