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Changes in neurotensin signalling drive hedonic devaluation in obesity

GSE287548 Mus musculus (mouse) RNA-seq (gene expression) 43 samples Submitted 2025/03/27 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 43 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
43 samples
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
Changes in neurotensin signalling drive hedonic devaluation in obesityNature · 2025
Summary (written by the submitters)
Calorie-rich foods, particularly those high in fat and sugar, evoke pleasure in both humans and animals. However, prolonged consumption of such foods may reduce their hedonic value, potentially contributing to obesity. Here, we investigated this phenomenon in mice on a chronic high-fat diet (HFD). While these mice preferred high-fat food over regular chow in their home cages, they showed reduced interest in calorie-rich foods in a no-effort setting.
Read the full summary ↓
This paradoxical decrease in hedonic feeding has been reported previously, but its neurobiological basis remains unclear. We found that in regular diet mice, neurons in the lateral nucleus accumbens projecting to the ventral tegmental area (NAcLat→VTA) encoded hedonic feeding behaviors. In HFD mice, this behavior was reduced and uncoupled from neural activity. Optogenetic stimulation of the NAcLat→VTA pathway increased hedonic feeding in regular diet mice but not in HFD mice, though this behavior was restored when HFD mice returned to a regular diet. HFD mice exhibited reduced neurotensin expression and release in the NAcLat→VTA pathway. Furthermore, neurotensin knockout in the NAcLat and neurotensin receptor blockade in the VTA each abolished optogenetic-induced hedonic feeding behavior. Enhancing neurotensin signaling via overexpression normalized aspects of diet-induced obesity, including weight gain and hedonic feeding. Altogether, our findings identify a neural circuit mechanism linking the devaluation of hedonic foods with obesity.
Published in
Changes in neurotensin signalling drive hedonic devaluation in obesity
Gazit Shimoni N, Tose AJ, Seng C et al. · Nature 2025 · PMID 40140571 · doi:10.1038/s41586-025-08748-y
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 GSE287548_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: 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 PRJNA1213722 and SRA study SRP558692. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 43 individual samples

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

How we read this: Sample titles run AT003 … AT094 and carry no group information.

Samples in this study

+ 3 more — browse all 43 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq 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.