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Five Substances Powder with Poria ameliorates lipid metabolic disorders in obese mice by modulating gastric inhibitory polypeptide release via intestinal microbiota regulation

GSE286337 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2026/01/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 4 × intestine,HFD vs 4 × intestine,Five Substances Powder with Poria vs 3 × intestine,NDGroups 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 is a chronic metabolic disorder that increases the risk of various metabolic diseases, such as type 2 diabetes and metabolic dysfunction-associated steatohepatitis (MASH). While previous studies have shown that Five Substances Powder with Poria can alters gut microbiota to improve glycolipid metabolism and obesity, the underlying mechanisms still need to be clarified. The present study aimed to explore the potential mechanisms of Five Substances Powder with Poria in suppressing obesity more deeply through an integrated research strategy.
This dataset
Open GSE286337 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 GSE286337_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 PRJNA1208941 and SRA study SRP556460. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × intestine,HFD vs 4 × intestine,Five Substances Powder with Poria vs 3 × intestine,ND

Supports a between-group comparison across 11 samples.

How we read this: 3 replicated groups read from 11 sample titles; they account for 11 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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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.