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Adipose tissue retains an epigenetic memory of obesity after weight loss [ATAC-seq]

GSE236575 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 22 samples Submitted 2024/11/14 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 22 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
22 samples: 8 conditions, mostly in triplicateGroups 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
Adipose tissue retains an epigenetic memory of obesity after weight lossNature · 2024
Summary (written by the submitters)
Reducing body weight to improve metabolic health and related comorbidities is a primary goal in treating obesity. However, maintaining weight loss is a considerable challenge, especially as the body appears to retain an obesogenic memory that defends against body weight changes. Overcoming this barrier for long-term treatment success is difficult because the molecular mechanisms underpinning this phenomenon remain largely unknown.
Read the full summary ↓
Here, by using single-nuclei RNA-sequencing, we show that both human and mouse adipose tissue retain cellular transcriptional changes after appreciable weight loss. Furthermore, we find persistent obesity-induced alterations in the mouse adipocyte epigenome, negatively affecting their function and response to metabolic stimuli. Mice carrying this obesogenic memory show accelerated rebound weight gain, and the epigenetic memory can explain future transcriptional deregulation in adipocytes in response to further high-fat diet feeding. In summary, our findings indicate the existence of an obesogenic memory, largely based on stable epigenetic changes, in mouse adipocytes, and likely other cell types. These changes appear to prime cells for pathological responses in an obesogenic environment, contributing to the problematic "yo-yo" effect often seen with dieting. Targeting these changes in the future could improve long-term weight management and health outcomes.
Published in
Adipose tissue retains an epigenetic memory of obesity after weight loss
Hinte LC, Castellano-Castillo D, Ghosh A et al. · Nature 2024 · PMID 39558077 · doi:10.1038/s41586-024-08165-7
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 GSE236575_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 PRJNA991593 and SRA study SRP447450. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
C_short_ATAC ×3 H_short_ATAC ×3 CC_short_ATAC ×3 HC_short_ATAC ×3 HH_long_ATAC ×3 HHC_long_ATAC ×3 CC_long_ATAC ×2 CCC_long_ATAC ×2

Supports a between-group comparison across 22 samples.

How we read this: 8 replicated groups read from 22 sample titles; they account for 22 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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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.