← BioTransfer GEO Dataset Finder
GEO series

Multitissue Single-Cell Analysis Reveals Differential Tissue, Cellular, and Molecular Sensitivity between Fructose and High fat high sucrose Diets

GSE208750 Mus musculus (mouse) Single-cell RNA-seq 40 samples Submitted 2025/04/06 Platform GPL21103
At a glance

Single-cell RNA-seq · mouse · 40 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
40 samples: 16 conditions, mostly in duplicateGroups 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
Multitissue single-cell analysis reveals differential cellular and molecular sensitivity between fructose and high-fat high-sucrose dietsCell reports · 2025
Summary (written by the submitters)
Metabolic syndrome (MetS) is a complex disorder with multidimensional etiology that encompasses diverse symptoms such as hyperlipidemia, abdominal obesity, and insulin resistance. Western diets such as the high fat high sucrose diet (HFHS) and those high in fructose ave been associated with increased prevalence of MetS. Despite the fact that various metabolic tissues have been implicated in MetS pathogenesis, the role of individual cell types embedded in these tissues has yet to be elucidated.
Read the full summary ↓
To address this, we performed single cell RNA sequencing to examine thousands of individual cells from the hypothalamus, liver, adipose, and small intestine from both HFHS- and fructose-induced MetS mouse models. We found differential sensitivity of responsive cell types, genes, and pathways between HFHS and fructose diets, with hypothalamic neurons particularly sensitive to the high fructose diet and adipose progenitor cells particularly sensitive to HFHS diet. Network analysis identified both known (Avp, Apoe, C3) and novel ligands (Gal and Fga) that mediate ligand-receptor crosstalk between tissues in MetS. The identification of major cell types, molecular pathways, and regulators of MetS induced by different risk diets facilitates precision treatment of MetS subtypes.
Published in
Multitissue single-cell analysis reveals differential cellular and molecular sensitivity between fructose and high-fat high-sucrose diets
Chen YW, Ahn IS, Wang SS et al. · Cell reports 2025 · PMID 40349341 · doi:10.1016/j.celrep.2025.115690
This dataset
Open GSE208750 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 GSE208750_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA860948 and SRA study SRP387812. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40349341) ↗
Study design
16 conditions, mostly in duplicate
NPC_Fruc_Set2 ×3 NPC_HFHS_Set2 ×3 HEP_Fruc_Set1 ×2 HEP_Fruc_Set2 ×2 HEP_HFHS_Set1 ×2 HEP_HFHS_Set2 ×2 Hyp_Control ×2 Hyp_Fruc ×2 +14 more

Supports a between-group comparison across 34 samples.

How we read this: 16 replicated groups read from 40 sample titles; they account for 34 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.