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Prior High Fiber Intake Impinges on the Cellular Responses of Mesenteric Adipose and Intestinal Tissues to Subsequent High Fat Feeding

GSE283007 Mus musculus (mouse) Single-nucleus RNA-seq 16 samples Submitted 2025/11/30 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 16 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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
Prior high fiber intake impinges on the cellular responses of mesenteric adipose and intestinal tissues to subsequent high fat feedingCell reports · 2026
Summary (written by the submitters)
Dietary modification by consuming plant-based food with high fiber content is a primary strategy to induce weight loss in obese individuals. However, long-term usage of such fiber-enriched dieting is challenging and rapid weight regain often occurs once the high-fat dietary habit resumes. Currently, how do adipose and intestinal tissues respond to a switch between high-fiber and high-fat diet remains unknown.
Read the full summary ↓
Here, we applied C57BL/6J mice to chow diet (CD)/high-fiber diet (HfiD)-to-high-fat diet (HFD) switching paradigms and collected mesenteric white adipose tissue (mWAT), duodenum and colon tissue sections at different time points for single-nucleus profiling and spatially resolved transcriptomic analysis, respectively. We show that the progenitors and adipocytes of HfiD-fed mWAT are more sensitive to HFD-induced molecular changes. In addition, HfiD feeding prevents the subsequent HFD-induced expansion of immune-related enterocytes in duodenum and reverses the HFD-induced enterocyte-to-goblet cell conversion in colon. Moreover, HfiD-induced microbiome changes are mostly abrogated upon HFD feeding. Our results indicate that prior HfiD feeding can alter the cellular response of adipose and intestinal tissues to subsequent HFD feeding, which highlights the impact of dietary interventions with fiber-rich food for obesity treatment from a different perspective. Our data provide a spatiotemporal resource for future hypothesis-driven studies on the mechanisms of adipose and intestinal tissue plasticity in response to diet switches.
Published in
Prior high fiber intake impinges on the cellular responses of mesenteric adipose and intestinal tissues to subsequent high fat feeding
Peng Z, Zhang H, Ding Y et al. · Cell reports 2026 · PMID 41520334 · doi:10.1016/j.celrep.2025.116801
This dataset
Open GSE283007 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 GSE283007_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 PRJNA1191436 and SRA study SRP548015. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41520334) ↗
Study design
16 samples, each with a distinct title — no replicated groups

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

How we read this: Read from 16 sample titles: 16 distinct titles with little repetition. 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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