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Unveiling the Molecular Legacy of Transient Insulin Resistance: Implications for Hepatic Metabolic Adaptability

GSE249859 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 82 samples Submitted 2025/07/17 Platform GPL16570Platform GPL28457Platform GPL21103
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 82 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
82 samples: 55 distinct titles, 10 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Paper
Unveiling the molecular legacy of transient insulin resistance: Implications for hepatic metabolic adaptabilityJournal of hepatology · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Unveiling the molecular legacy of transient insulin resistance: Implications for hepatic metabolic adaptability
Berthier A, Gheeraert C, Vinod M et al. · Journal of hepatology 2025 · PMID 39947330 · doi:10.1016/j.jhep.2025.02.004
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 GSE249859_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 PRJNA1051033 and SRA study SRP477257. Searching any of these in the dataset finder brings you back here.

Study design
55 distinct titles, 10 of them repeated
K4m ×6 K27m ×6 Ac ×5 DMSO_T0 to T24 ×3 Pema T0 to T24 ×3 DMSO_T14 to T20 ×3 Pema T14 to T20 ×3 DMSO_T24 to T30 ×3 +2 more

How we read this: Read from 82 sample titles: 55 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

+ 42 more — browse all 82 samples with per-sample file links →

Datasets on a similar topic

Search all mouse microarray 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.