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A multi-functional oral small molecule targeting energy and lipid metabolism as a treatment for diet-induced obesity [Exp 3]

GSE302442 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/07/06 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 5 × Liver, PPARa-KO, HFD, TOFA, vs 5 × Liver, PPARa-WT, HFD, TOFA, vs 4 × Liver, PPARa-KO, HFD, ctrl, vs 4 × Liver, PPARa-WT, HFD, ctrl,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)
Obesity and related metabolic disorders have surged globally, representing a significant public health burden. These diseases are mechanistically interconnected through complex pathways involving dysregulated energy and lipid metabolism. As a result, therapeutic strategies that target a single molecule or pathway are unlikely to achieve optimal efficacy without inducing adverse effects.
Read the full summary ↓
Here, we identified an orally bioavailable small molecule, 5-tetradecyloxy-2-furoic acid (TOFA), that effectively rebalances energy expenditure and lipid synthesis by both inhibiting acetyl-CoA carboxylases 1 and 2 (ACC1/2) and acting as a novel agonist of Peroxisome Proliferator-Activated Receptors alpha and delta (PPARɑ/δ). TOFA significantly alleviated obesity and associated metabolic dysfunctions in mouse models without side effects common to current treatments, such as muscle wasting. Moreover, TOFA acted synergistically with incretin analogs such as semaglutide and tirzepatide to improve obesity, dyslipidemia, and insulin resistance. Collectively, our findings suggest that the coordinated multi-targeting of lipid homeostasis and energy metabolism by TOFA is an effective approach to address multiple associated metabolic diseases.
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 GSE302442_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 PRJNA1290934 and SRA study SRP601337. Searching any of these in the dataset finder brings you back here.

Study design
5 × Liver, PPARa-KO, HFD, TOFA, vs 5 × Liver, PPARa-WT, HFD, TOFA, vs 4 × Liver, PPARa-KO, HFD, ctrl, vs 4 × Liver, PPARa-WT, HFD, ctrl,

Supports a between-group comparison across 18 samples.

How we read this: 4 replicated groups read from 18 sample titles; they account for 18 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
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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.