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Early ingestive experience with a high-fat diet tunes satiation and nutrient-specific appetitive behaviors

GSE320302 Mus musculus (mouse) RNA-seq (gene expression) 31 samples Submitted 2026/02/28 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 31 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
31 samples: 8 × P21 male nodose ganglia, control, vs 8 × P21 male nodose ganglia, high-fat diet, vs 8 × P35 male nodose ganglia, control, vs 7 × P35 male nodose ganglia, high-fat diet,Groups 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)
Overconsumption of foods rich in fats, sugars, and calories is a major contributing factor to increased risk for cardiometabolic disease. Ingestive experience with these foods can begin early in children, yet there is limited understanding of the impact of early life nutrition on the development of vagal afferent neurons that sense nutrients in the gastrointestinal tract, thus coordinating appetitive and satiating behaviors.
Read the full summary ↓
To this end, mice reared on a chow diet (control) were compared to those reared on a high-fat diet (HFDEARLY). We demonstrate that the vagally-mediated satiation response to cholecystokinin (CCK) does not mature until adolescence in chow-reared mice. However, HFDEARLY exposure triggers a precocious maturation of this response, accompanied by transcriptomic changes in the nodose ganglion. Durable changes in appetitive behaviors were also evident in adult HFDEARLY mice, which consumed more lipid than control mice. Behavioral analyses point to alterations in orosensory integration and enhanced appetition in adult HFDEARLY mice, establishing nutrient exposure as a significant contributor to vagal circuit maturation and function.
This dataset
Open GSE320302 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 GSE320302_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: 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 PRJNA1427295 and SRA study SRP678897. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 × P21 male nodose ganglia, control, vs 8 × P21 male nodose ganglia, high-fat diet, vs 8 × P35 male nodose ganglia, control, vs 7 × P35 male nodose ganglia, high-fat diet,

Supports a between-group comparison across 31 samples.

How we read this: 4 replicated groups read from 31 sample titles; they account for 31 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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